49 results on '"Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE)"'
Search Results
2. QTL Detection for Flowering-Time Related Traits in Miscanthus sinensis Using a Staggered-Start Design
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Wei Hou, Raphaël Raverdy, Kristelle Lourgant, Emilie Mignot, Stéphanie Arnoult, Catherine Giauffret, Maryse Brancourt-Hulmel, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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QTL mapping ,Renewable Energy, Sustainability and the Environment ,Age effect ,[SDV]Life Sciences [q-bio] ,Homologous genes ,Biomass ,Climatic condition effect ,Agronomy and Crop Science ,Energy (miscellaneous) - Abstract
International audience; The perennial crop miscanthus is being exploited for energy and industrial end-uses. Our objective was to map quantitative trait loci (QTLs) for several flowering-time related traits in Miscanthus sinensis to enhance its breeding. A diploid population of 159 genotypes was extensively phenotyped for flowering-time related traits in 2018 and 2019, using a staggered-start design to distinguish the plant age effect from the climatic condition effect. This revealed that the climatic condition effect was more significant than the age effect. The best linear unbiased predictors of genotype (G), genotype x age interaction (G x A), and genotype x climatic condition interaction (G x C) effects were then estimated using two linear mixed models for each trait. For the anther appearance (AA) and the interval between heading and flowering (IHF), 25 QTLs were associated with genotype effects and 34 with interaction effects, accounting for 2.7 to 30.7% of the phenotypic variation. Regarding the QTLs detected for AA, the allelic effects varied with climatic condition. Interestingly, the QTL effects were smaller for G x A than for G x C. By decomposing the year effect into age and climatic condition effects, the staggered-start design improved QTL detection, which helped decipher the genetic determinism that corresponds to the interaction effects of genotype with age and climatic condition. Finally, a protein sequence alignment with known flowering-time related genes in maize and sorghum revealed the presence of two homologous genes potentially associated with flowering-time in miscanthus within the support interval positions of seven QTL clusters. This study enriched the genetic information on M. sinensis flowering-time and can provide a reference for subsequent genetic breeding.
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- 2022
3. Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection
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Pauline Robert, Jérôme Auzanneau, Ellen Goudemand, François-Xavier Oury, Bernard Rolland, Emmanuel Heumez, Sophie Bouchet, Jacques Le Gouis, Renaud Rincent, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Agri-obtention (AO), florimont desprez, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ANRT 2019/0060
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[SDV.GEN]Life Sciences [q-bio]/Genetics ,Models, Genetic ,[SDV]Life Sciences [q-bio] ,Genomic-like omics-based (GLOB) prediction ,Genomics ,General Medicine ,Bread wheat ,Phenomic selection (PS) ,Near-infrared spectroscopy (NIRS) ,Plant Breeding ,Phenotype ,Genetics ,Genomic selection (GS) ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Phenomics ,Selection, Genetic ,Agronomy and Crop Science ,Genome, Plant ,Triticum ,Biotechnology - Abstract
International audience; Phenomic selection is a promising alternative or complement to genomic selection in wheat breeding. Models combining spectra from different environments maximise the predictive ability of grain yield and heading date of wheat breeding lines. Phenomic selection (PS) is a recent breeding approach similar to genomic selection (GS) except that genotyping is replaced by near-infrared (NIR) spectroscopy. PS can potentially account for non-additive effects and has the major advantage of being low cost and high throughput. Factors influencing GS predictive abilities have been intensively studied, but little is known about PS. We tested and compared the abilities of PS and GS to predict grain yield and heading date from several datasets of bread wheat lines corresponding to the first or second years of trial evaluation from two breeding companies and one research institute in France. We evaluated several factors affecting PS predictive abilities including the possibility of combining spectra collected in different environments. A simple H-BLUP model predicted both traits with prediction ability from 0.26 to 0.62 and with an efficient computation time. Our results showed that the environments in which lines are grown had a crucial impact on predictive ability based on the spectra acquired and was specific to the trait considered. Models combining NIR spectra from different environments were the best PS models and were at least as accurate as GS in most of the datasets. Furthermore, a GH-BLUP model combining genotyping and NIR spectra was the best model of all (prediction ability from 0.31 to 0.73). We demonstrated also that as for GS, the size and the composition of the training set have a crucial impact on predictive ability. PS could therefore replace or complement GS for efficient wheat breeding programs.
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- 2022
4. Impact of miscanthus lignin and arabinoxylan on Portland cement
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Jordi Girones, Loan T.T. Vo, Grégory Mouille, Joan Oñate Narciso, Stéphanie Arnoult, Maryse Brancourt-Hulmel, Patrick Navard, Catherine Lapierre, Centre de Mise en Forme des Matériaux (CEMEF), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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[SDE]Environmental Sciences ,Cement ,Electrical conductivity ,Arabinoxylan ,Miscanthus ,Agronomy and Crop Science ,Dioxane Lignin ,Kraft Lignin - Abstract
International audience; Miscanthus biomass can be used to produce lightweight concrete. However, cell wall polymers leached in the alkaline cementitious medium can disturb cement setting. This is the case for grass lignin and grass arabinoxylan due to their specific alkali solubility. The main objective of this paper was to study the impact of lignin and of arabinoxylan from miscanthus biomass on the hydration of Portland cement and by electrical conductivity. To this end, dioxan lignin (DL) and arabinoxylan (AX) were extracted from miscanthus by methods preserving the main structural specificities of the native polymers. These DL and AX fractions were added to Portland cement (1-5% w/w in cement) and their impact on the electrical conductivity of cement/water mixtures was time-monitored. The novelty of this study lies in using polymers structurally similar to those of miscanthus fibers rather than commercially available ones, such as kraft lignin (KL). The addition of DL or of KL to cement/water mixture differently affected the electrical conductivity, which is most likely assignable to the severe structural degradation of KL during kraft process. The conductivity curves suggested that cement hydration was substantially delayed when DL % in cement was 3% or more while lower values had no impact. The results support the hypothesis that the access of water to cement grains was impeded by the adsorption of ionized lignin entities at their surface. When co-added to the cement (1.6 wt% each), the DL and AX fraction delayed cement hydration more substantially than when the same amounts were separately added. This unexpected synergy suggests that the miscanthus lignin and arabinoxylan polymers form lignin-carbohydrate complexes efficiently adsorbed on cement grains.
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- 2022
5. Mixing Ability of Intercropped Wheat Varieties: Stability Across Environments and Tester Legume Species
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N, Moutier, A, Baranger, S, Fall, E, Hanocq, P, Marget, M, Floriot, A, Gauffreteau, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Agri Obtentions (AO), Agronomie, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), This study was supported by funding from INRAE and Agri-Obtentions in the framework of the Varietal Innovation and Diversification (IVD) program, CéréLAG (2016–2020) project, and French State aid managed by the National Research Agency under the Investments for the Future Program PPR-CPA MoBiDiv (2021–2026) under grant agreement ANR-20-PCPA-0006., ANR-20-PCPA-0006,MoBiDiv,Mobilizing and Breeding Intra and inter-specific crop Diversity for a systemic change towards pesticide-free agriculture(2020), Jonchère, Laurent, and Mobilizing and Breeding Intra and inter-specific crop Diversity for a systemic change towards pesticide-free agriculture - - MoBiDiv2020 - ANR-20-PCPA-0006 - PCPA - VALID
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[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,[SDV.SA] Life Sciences [q-bio]/Agricultural sciences ,cereal ,[SDV]Life Sciences [q-bio] ,pea ,producer ,associate concept ,Plant Science ,faba bean ,[SDV] Life Sciences [q-bio] ,GxGxE interactions ,mixtures ,breeding ,land equivalent ratio (LER) - Abstract
International audience; Cereal-legume intercrops are developed mainly in low input or organic farming systems because of the overyielding and numerous ecosystem services they provide. For this management, little advice is available for varietal choice and there are almost no specific breeding programs. Our study aimed to evaluate the mixing ability of a panel of bread wheat genotypes in intercropping and to assess the impact of environment and legume tester choice on this ability. We used partial land equivalent ratios (LERs) to assess the mixing ability of a genotype defined as the combination of its ability to maintain its own yield in intercropping (producer effect, LERw) and to let the mixed species produce (associate effect, LERl). Eight wheat genotypes and 5 legume testers (3 pea and 2 faba bean varieties) were grown in sole crop and in all possible binary intercrops in nine contrasting environments. A mixed model was used to evaluate the effects of wheat genotypes, legume testers, environments, and all the interactions among these 3 factors on LERw and LERl. The chosen wheat genotypes presented contrasting mixing ability, either in terms of producer effect (LERw) or associate effect (LERl). A strong negative correlation was observed between these two components of genotype mixing ability, with an increase in producer effect being generally associated with similar decrease in associate effect, except for three genotypes. The impact of environment on the producer and associate effects was limited and similar between genotypes. Legume tester had a significant effect on both LERw and LERl, making the choice of tester a major issue to reveal the producer or associate effects of wheat genotype. Although the 5 testers showed no significant differences in wheat genotype order for both producer or associate effects, they showed different competitiveness and ability to discriminate genotypes: faba bean was very competitive, resulting in low LERt and low capacity to discriminate wheat genotypes for their mixing ability. On the contrary, pea was less competitive, resulting in higher LERt and better capacity to discriminate wheat genotypes. In particular, the Hr varieties (Geronimo and Spencer) discriminated best the wheat genotypes. Consequences on the implementation of breeding programs for wheat varieties adapted to intercropping are discussed.
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- 2022
6. Estimating the Genetic Parameters of Flowering Time-Related Traits in a Miscanthus sinensis Population Tested with a Staggered-Start Design
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Stéphanie Arnoult, Maryse Brancourt-Hulmel, Raphaël Raverdy, Wei Hou, Emilie Mignot, Catherine Giauffret, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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education.field_of_study ,Renewable Energy, Sustainability and the Environment ,[SDV]Life Sciences [q-bio] ,Population ,Growing season ,Miscanthus sinensis ,Miscanthus ,Biology ,Heritability ,biology.organism_classification ,Plant ecology ,Agronomy ,Ploidy ,education ,Agronomy and Crop Science ,Energy (miscellaneous) ,Panicle - Abstract
There is a growing interest in the cultivation of miscanthus on marginal land, but biomass yields are much lower there than on good farming land. Therefore, understanding what causes such instability is of primary interest for breeding later-flowering but stable miscanthus genotypes. Our objectives were to estimate the genetic parameters -genetic variance and genetic heritability- and genetic correlations for flowering-time-related traits in a biparental Miscanthus sinensis diploid population, and to divide the year effect into both age and climate effects using a staggered-start design. The population was established with single plants organized in a staggered-start design and consisted of two genotype groups established twice, in 2014 and 2015, with a total of 159 genotypes and 82 common genotypes between the two groups. All plants were extensively phenotyped for different panicle and anther emergence traits in 2018 and 2019. All traits were delayed by about 20 days in 2019 compared to 2018, which was explained by climatic conditions that occurred before the floral transition, mainly by a 3°C decrease in maximal and minimal temperatures. When dividing the year interaction effect, the genotype × climate interaction was much higher than the genotype × age interaction. The climate effect not only caused a delay in the flowering time but also involved differential genotype behavior through climate × genotype interactions, which increased the corresponding genotype × climate interaction variance compared to the genotype × age interaction variance: the climate effect decreased the genetic parameters for all flowering-time related traits, up to 20 % for broad-sense heritability. Interestingly, all traits responded similarly to the climate effect, excepting the interval between the start of panicle emergence and that of anther appearance, for which the correlation coefficients were lower due to significant climate interactions, compared to genotype × age interactions. Therefore, M. sinensis breeding for flowering-time related traits must be conducted under contrasted climates in order to select more stable genotypes.
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- 2022
7. A Comparative Study of Maize and Miscanthus Regarding Cell-Wall Composition and Stem Anatomy for Conversion into Bioethanol and Polymer Composites
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S. Jaffuel, M.-P. Jacquemont, F. El Hage, Patrick Navard, Matthieu Reymond, Laurent Cézard, Loan T.T. Vo, Jordi Girones, Maryse Brancourt-Hulmel, Stéphanie Arnoult, Yves Griveau, Emilie Mignot, Emilie Gineau, Catherine Lapierre, Frédéric Legée, Valérie Méchin, Grégory Mouille, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre de Mise en Forme des Matériaux (CEMEF), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011), and ANR-10-LABX-0040,SPS,Saclay Plant Sciences(2010)
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0106 biological sciences ,020209 energy ,polysaccharides ,02 engineering and technology ,Xylose ,01 natural sciences ,[SPI.MAT]Engineering Sciences [physics]/Materials ,Ferulic acid ,chemistry.chemical_compound ,010608 biotechnology ,0202 electrical engineering, electronic engineering, information engineering ,Lignin ,Cellulose ,Stover ,lignocellulosic biomass ,Plant stem ,Energy crop ,biology ,Renewable Energy, Sustainability and the Environment ,enzymatic hydrolysis ,Anatomy ,Miscanthus ,biology.organism_classification ,biofuels ,[CHIM.POLY]Chemical Sciences/Polymers ,chemistry ,Pith ,Agronomy and Crop Science ,biomaterials ,Energy (miscellaneous) - Abstract
International audience; Due to an increasing demand for environmentally sustainable products, miscanthus and maize stover represent interesting lignocellulosic resources for conversion into biofuels and biomaterials. The overall purpose was to compare miscanthus and maize regarding cell-wall composition and stem anatomy for conversion into bioethanol and polymer composites using partial least squares regressions. For each of the two crops, six contrasted genotypes were cultivated in complete block design, and harvested. Internodes below the main cob for maize, and on the first aboveground internode for miscanthus, were analyzed for biochemistry and anatomy. Their digestibility was predicted using crop-specific near infrared calibrations, and the mechanical properties were evaluated in stem-based composites. On average, the internode cross-section of miscanthus anatomy was characterized by a thick rind (26.2 %) and few but dense pith-bundles (3.5 nb/mm²), while cell-wall constituted 95.2 % of the dry matter with high lignin (243.2 mg/g) and cellulose concentrations (439.7 mg/g). Maize internode-anatomy showed large cross-sections (397.5 mm²), pith with the presence of numerous bundles and non-lignified-pith fractions (22.3 % of the section). Its cellwall biochemistry displayed high concentrations of hemicelluloses, galactose, arabinose, xylose and ferulic acid. Cell-wall, lignin and cellulose concentrations were positively correlated with rind-fraction and pith-bundle-density, which explained strong mechanical properties as shown in miscanthus. Hemicelluloses, galactose, arabinose and ferulic acid concentrations were positively correlated with pith fraction and stem cross-section, revealing high digestibility as shown in maize. This underlines interesting traits for further comparative genetic studies, as maize represents a good model for digestibility and miscanthus for composites.
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- 2021
8. Linkage mapping of biomass production and composition traits in a miscanthus sinensis population
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Raphael RAVERDY, Kristelle LOURGANT, Emilie MIGNOT, Stéphanie ARNOULT, Guillaume BODINEAU, Yves GRIVEAU, Cristiane H. TANIGUTI, Maryse BRANCOURT-HULMEL, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique et Biomasse Forestières ORléans (GBFOR), Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Universidade de SãoPaulo, and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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QTL mapping ,MARCADOR MOLECULAR ,Orthologous genes ,Renewable Energy, Sustainability and the Environment ,Age effect ,[SDV]Life Sciences [q-bio] ,food and beverages ,Climatic condition effect ,Integrated genetic map ,Agronomy and Crop Science ,Energy (miscellaneous) - Abstract
Breeding miscanthus for biomass production and composition is essential for targeting high-yielding genotypes suited to different end-uses. Our objective was to understand the genetic determinism of these traits in M. sinensis, according to different plant ages and environmental conditions. A diploid population was established in two locations according to a staggered-start design, which made the “year” effect partitioned into “age” and “growing season” effects. An integrated genetic map of 2,602 SNP markers distributed across 19 LGs, was aligned with the M. sinensis reference genome and spanned 2,770 cM. The QTL mapping was based on Best Linear Unbiased Predictions estimated across three climatic conditions and at least three ages in both locations. 260 and 283 QTL were related to biomass production and composition traits, respectively. In each location, 40%-60% were related to biomass production traits and stable across different climatic conditions and ages, and 30% to biomass composition traits. Ten to fifteen% were stable for both trait types across locations. Twelve QTL clusters were established based on either biomass production or composition traits, and validated by high genetic correlations between the traits. Sixty-two putative M. sinensis genes, related to the cell-wall, were evidenced in the QTL clusters of biomass composition traits, and orthologous to those of sorghum and maize. Twelve of them were differentially expressed and belonged to gene families related to the cell-wall biosynthesis identified in other miscanthus studies. These stable QTL constitute new insights into Marker-Assisted Selection breeding while offering a joint improvement of biomass production or composition traits.
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- 2022
9. The maize low-lignin $brown\ midrib3$ mutant shows pleiotropic effects on photosynthetic and cell wall metabolisms in response to chilling
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Catalina Duran Garzon, Michelle Lequart, Quentin Charras, Françoise Fournet, Léo Bellenger, Hélène Sellier-Richard, Catherine Giauffret, Wilfred Vermerris, Jean-Marc Domon, Catherine Rayon, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Biologie des Plantes et Innovation - UR UPJV 3900 (BIOPI), Université de Picardie Jules Verne (UPJV)-Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Université d'Artois (UA)-Université de Liège-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Institut de Biosciences et Biotechnologies d'Aix-Marseille (ex-IBEB) (BIAM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Biomolécules et biotechnologies végétales (BBV EA 2106), Université de Tours (UT), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), University of Florida Genetics Institute (UFGI), and University of Florida [Gainesville] (UF)
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Physiology ,[SDV]Life Sciences [q-bio] ,fungi ,Hydroxycinnamic acid ,food and beverages ,Starch ,Plant Science ,Lignin ,Zea mays ,Caffeic acid O-Methyltransferase ,Non-structural sugars ,Cell Wall ,Photosynthetic pigments ,Genetics ,bm3 ,Photosynthesis ,Zea mays L - Abstract
International audience; Maize (Zea mays L.) is one of the major cereal crops in the world and is highly sensitive to low temperature. Here, changes in photosynthetic and cell wall metabolisms were investigated during a long chilling exposure in inbred line F2 and a low-lignin near-isogenic brown midrib3 mutant (F2bm3), which has a mutation in the caffeic acid O-methyltransferase (COMT) gene. Results revealed that the plant biomass was reduced, and this was more pronounced in F2bm3. Photosynthesis was altered in both lines with distinct changes in photosynthetic pigment content between F2bm3 and F2, indicating an alternative photoprotection mechanism between lines under chilling. Starch remobilization was observed in F2bm3 while concentrations of sucrose, fructose and starch increased in F2, suggesting a reduced sugar partitioning in F2. The cell wall was altered upon chilling, resulting in changes in the composition of glucuronorabinoxylan and a reduced cellulose level in F2. Chilling shifted lignin subunit composition in F2bm3 mutant to a higher proportion of p-hydroxyphenyl (H) units, whereas it resulted in lignin with a higher proportion of syringyl (S) residues in F2. On average, the total cell wall ferulic acid (FA) content increased in both genotypes, with an increase in ether-linked FA in F2bm3, suggesting a greater degree of cross-linking to lignin. The reinforcement of the cell wall with lignin enriched in H-units and a higher concentration in cell-wall-bound FA observed in F2bm3 as a response to chilling, could be a strategy to protect the photosystems.
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- 2022
10. Estimation of Genetic Parameters of Biomass Production and Composition Traits in Miscanthus Sinensis Using a Staggered-start Design
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Raphaël Raverdy, Emilie Mignot, Stéphanie Arnoult, Laura Fingar, Guillaume Bodineau, Yves Griveau, Solenne Volant, Maryse Brancourt-Hulmel, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Recherche Agronomique (INRA), Génétique et Biomasse Forestières ORléans (GBFOR), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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Renewable Energy, Sustainability and the Environment ,Variance components ,Age effect ,[SDV]Life Sciences [q-bio] ,Genetic and phenotypic correlations ,Climate effect ,Agronomy and Crop Science ,Energy (miscellaneous) ,Broad-sense heritability - Abstract
Traits for biomass production and composition make Miscanthus a promising bioenergy crop for different bioconversion routes. They need to be considered in miscanthus breeding programs as they are subjected to genetic and genetic x environment factors. The objective was to estimate the genetic parameters of an M. sinensis population grown during four years in two French locations. In each location, the experiment was established according to a staggered-start design in order to decompose the year effect into age and climate effects. Linear Mixed Models were used to estimate genetic variance, genotype x age, genotype x climate interaction variances and residual variances. Individual plant broad-sense heritability means ranged from 0.42 to 0.62 for biomass production traits, and were more heritable than biomass composition traits with means ranging from 0.26 to 0.47. Heritability increased through time for most of the biomass production and composition traits. Low genetic variance along with large genotype x age and genotype x climate interaction variances tended to decrease the heritability of biomass production traits for young plant ages. Most of the production traits showed large interaction variances for age and climate in both locations, while biomass composition traits highlighted large interaction variances due to climate in Orléans. The genetic and phenotypic correlations between biomass production and composition traits were moderate and positive, while hemicelluloses were negatively correlated with all traits. Efficient genetic progress is achievable for miscanthus breeding when plants get older. The joint improvement of biomass production and composition traits would help provide a better response of miscanthus to selection.
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- 2021
11. Identification of factors influencing predictive ability of phenomic selection and comparison to genomic selection in wheat breeding programs
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ROBERT, P, Oury, Francois-Xavier, Auzanneau, Jérôme, Rolland, Bernard, Heumez, Emmanuel, Bouchet, Sophie, Le Gouis, Jacques, Rincent, Renaud, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Agri-obtention (AO), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), EUCARPIA, AKCongress, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
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phenomic selection (PS) ,genomic selection (GS) ,[SDV]Life Sciences [q-bio] ,bread wheat ,plant breeding ,near infrared spectroscopy (NIRS) ,genomic-like omics-based (GLOB) prediction - Abstract
International audience; In plant breeding, the selection of the best individuals is mainly based on phenotyping records. Because phenotyping is costly and time consuming, predictive tools such as Genomic selection (GS) have been developed in order to select among unphenotyped candidates. GS allows predicting the target traits for the selection candidates using the phenotypes of a training set and genotypic information collected on the training set and the selection candidates. Despite a good potential of the method to assist breeders in their selection choices, the cost of the genotyping still remains expensive, as GS requires to genotype each year the new selection candidates. In 2018, Rincent et al. developed a new, low cost, and high throughput method to predict the target trait of unobserved selection candidates. This method called phenomic selection (PS) is similar to GS, but genotyping is replaced by near infrared spectroscopy (NIRS). NIRS has the main advantage of being affordable, and already routinely applied on the selection candidates for many species such as wheat. GS has been well studied for twenty years, and many factors influencing its predictive ability are well understood. In PS, little is known about the factors influencing the predictive abilities, and about its performance relative to GS. We conducted the analyses on several datasets, corresponding to breeding lines drawn from the first or second years of trial evaluation from two breeding companies and one research institute in France. We evaluated several factors affecting PS predictive abilities including the possibility of combining spectra collected in different environments or at different steps of the breeding program. Contrary to genotypic data, near infrared spectra are indeed influenced by both the genotype and the environment. Thus, a selection candidate can be characterised by a multitude of spectra measured in different environments. The statistical model used was a simple H-BLUP model, reaching prediction ability from 0.26 to 0.62.Our results showed that the environment in which the NIR spectra was collected had an impor-tant impact on predictive ability and this impact was specific to the trait considered. Among all the models tested, combining NIR spectra from different environments were the best PS models and were at least as accurate as GS in most of the datasets. We finally tested a model which gathered NIRS and molecular marker effects. This model, GH-BLUP, was the best model of all, regardless of the trait or dataset, with prediction abilities reaching 0.31 to 0.73. In this study we showed that PS could be a great support tool for breeders to improve wheat breeding programs and could efficiently replace or complement GS..
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- 2021
12. Intégration de données pour caractériser la digestibilité des protéines du pain
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Lavoignat, Mélanie, Bancel, Emmanuelle, Alric, Monique, Bagnon, Sandrine, Benigna, Michael, Chassin, Alain, Berges, Sandrine, Denis, Sylvain, Faye, Annie, Heumez, Emmanuel, Dymarski, Pierre-Yves, Halupka, Laura, Perrochon, Sibille, Rhazi, Larbi, Valluis, Bernard, Souply, Flavie, Leroux, Marie-Cécile, Giraudeau, Pascal, Ravel, Catherine, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Microbiologie Environnement Digestif Santé (MEDIS), Qualtech, IFBM, Unité Expérimentale PHénotypage Au Champ des Céréales (UE1375) (PHACC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), CERELAB® La Sucrerie, Partenaires INRAE, Interact, UniLaSalle, 60 000 Beauvais, France, Association Nationale de la Meunerie Française (ANMF), Union Française des Semenciers (UFS), and Institut Français de la Brasserie et de la Malterie (IFBM)
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[SDV]Life Sciences [q-bio] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
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- 2021
13. PeaMUST (Pea MultiStress Tolerance), a multidisciplinary French project uniting researchers, plant breeders, and the food industry
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Judith Burstin, Komlan Avia, Estefania Carillo‐Perdomo, Christophe Lecomte, Sana Beji, Eric Hanocq, Gregoire Aubert, Nadim Tayeh, Anthony Klein, Valérie Geffroy, Christine Le Signor, Stéphanie Pflieger, Marion Dalmais, Aurore Desgroux, Clément Lavaud, Anne Quillévéré‐Hamard, Jonathan Kreplak, Isabelle Lejeune‐Hénaut, Virginie Bourion, Marie‐Laure Pilet‐Nayel, Magalie Leveugle, Xavier Pinochet, Richard Thompson, the PeaMUST Consortium, Agroécologie [Dijon], Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Santé de la vigne et qualité du vin (SVQV), Université de Strasbourg (UNISTRA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Sciences des Plantes de Paris-Saclay (IPS2 (UMR_9213 / UMR_1403)), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR‐11‐BTBR‐0002, Ministère de la Transition écologique et Solidaire, ANR-11-BTBR-0002,PeaMUST,Adaptation multistress et régulations biologiques pour l'amélioration du rendement et de la stabilité du pois protéagineux(2011), Transfrontalière BioEcoAgro (Transfrontalière BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), FORCE LIMAGRAIN CHAPPES, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Terres Inovia, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Université de Rennes 1 (UR1)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest
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biotic ,Food industry ,[SDV]Life Sciences [q-bio] ,pea ,selection ,Plant Science ,Biology ,faba bean ,SB1-1110 ,03 medical and health sciences ,stress ,Multidisciplinary approach ,genome ,Selection (genetic algorithm) ,ComputingMilieux_MISCELLANEOUS ,Pisum sativum ,030304 developmental biology ,2. Zero hunger ,Abiotic component ,0303 health sciences ,business.industry ,Plant culture ,04 agricultural and veterinary sciences ,legume ,Biotechnology ,Vicia faba ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,abiotic ,business ,protein ,seed ,Food Science - Abstract
International audience; The French government has supported as part of its "Investments for the Future" program a 9-year research project, PeaMUST, devoted to pea and to a lesser extent, faba bean improvement. Focusing on the main causes of yield irregularity that limit pea and faba bean cultivation, an integrated approach, including molecular exploitation of the pea genome sequence, was applied to identify and incorporate favorable alleles and allele combinations in prebreeding material.
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- 2021
14. One-step preparation procedure, mechanical properties and environmental performances of miscanthus-based concrete blocks
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Colin Jury, Jordi Girones, Loan T.T. Vo, Erika Di Giuseppe, Grégory Mouille, Emilie Gineau, Stéphanie Arnoult, Maryse Brancourt-Hulmel, Catherine Lapierre, Laurent Cézard, Patrick Navard, INOVERTIS Grp, Centre de Mise en Forme des Matériaux (CEMEF), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), This work was supported by the program Investments for the Future (grant ANR-11-BTBR-0006-BFF) managed by the French National Research Agency., and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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Life cycle assessment ,Genotype ,Mechanics of Materials ,[SDV]Life Sciences [q-bio] ,Materials Chemistry ,Mechanical properties ,General Materials Science ,Miscanthus ,Concrete - Abstract
International audience; Concrete blocks prepared with Portland cement and miscanthus-based aggregates were prepared in order to check if the miscanthus genotype may influence their mechanical properties and to perform an environmental assessment. To produce lightweight, load-bearing concrete blocks using miscanthus stem fragments as aggregates in a single mixing method turned out to be impossible, although trying to optimize the concrete formulation. The results show that genotypes and size of miscanthus fragments controlled the mechanical properties of the final blocks. The lower was the amount of light elements such as leaves and sheath, the better were the mechanical properties of the blocks. When comparing genotypes with the same leaf/stem ratio, it was not possible to see a correlation between the biochemical composition of the stem and the compressive strength of the blocks. A probable explanation is the small variation of biochemical composition between genotypes. Using life cycle analysis tools, miscanthus block were not found to be competitive with conventional alternatives (concrete block and lightweight pumice block) when trying to increase compressive strength above 3 MPa. However, compared to non-load bearing alternatives (light clay brick), blocks integrating miscanthus had a better global environmental performance mainly due to a favorable climate change impact. The present work also points out the risk of decreasing the environmental performances when cultivating the crop on land in competition with food, because of the impacts of indirect consequences of Land Use Change.
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- 2022
15. Maize metabolome and proteome responses to controlled cold stress partly mimic early‐sowing effects in the field and differ from those of Arabidopsis
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Thierry Balliau, Mélisande Blein-Nicolas, Patricia Ballias, Catherine Deborde, Sylvain Prigent, Mickaël Maucourt, Maria Urrutia, Camille Bénard, Catherine Giauffret, Hélène Sellier, Daniel J. Jacob, Yves Gibon, Michel Zivy, Annick Moing, Stéphane Bernillon, Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Plateforme Métabolome [Bordeaux] (PMB), Institut National de la Recherche Agronomique (INRA), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro (Transfrontalière BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-11-INBS-0010,METABOHUB,Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation(2011), ANR-11-INBS-0012,PHENOME,Centre français de phénomique végétale(2011), ANR-10-BTBR-0001,AMAIZING,Développer de nouvelles variétés de maïs pour une agriculture durable: une approche intégrée de la génomique à la sélection(2010), Plateforme Bordeaux Metabolome, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-MetaboHUB-Bordeaux, MetaboHUB-MetaboHUB, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
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0106 biological sciences ,0301 basic medicine ,Proteome ,Physiology ,Metabolite ,[SDV]Life Sciences [q-bio] ,Arabidopsis ,Plant Science ,01 natural sciences ,chemistry.chemical_compound ,Inbred strain ,Low temperature ,Photosynthesis ,Plant Proteins ,2. Zero hunger ,biology ,food and beverages ,Plant leaf ,Cold Temperature ,Phenotype ,Metabolome ,Sucrose synthase ,Original Article ,Cold stress ,Genotype ,plante céréalière ,Métabolite ,Zea mays ,Acclimatization ,03 medical and health sciences ,proteomics ,Metabolomics ,Botany ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,métabolisme ,Chilling ,Cold-Shock Response ,Original Articles ,biology.organism_classification ,Maize ,Proteomics ,Plant Leaves ,030104 developmental biology ,chemistry ,biology.protein ,Acclimation ,010606 plant biology & botany - Abstract
In Northern Europe, sowing maize one‐month earlier than current agricultural practices may lead to moderate chilling damage. However, studies of the metabolic responses to low, non‐freezing, temperatures remain scarce. Here, genetically‐diverse maize hybrids (Zea mays, dent inbred lines crossed with a flint inbred line) were cultivated in a growth chamber at optimal temperature and then three decreasing temperatures for 2 days each, as well as in the field. Leaf metabolomic and proteomic profiles were determined. In the growth chamber, 50% of metabolites and 18% of proteins changed between 20 and 16°C. These maize responses, partly differing from those of Arabidopsis to short‐term chilling, were mapped on genome‐wide metabolic maps. Several metabolites and proteins showed similar variation for all temperature decreases: seven MS‐based metabolite signatures and two proteins involved in photosynthesis decreased continuously. Several increasing metabolites or proteins in the growth‐chamber chilling conditions showed similar trends in the early‐sowing field experiment, including trans‐aconitate, three hydroxycinnamate derivatives, a benzoxazinoid, a sucrose synthase, lethal leaf‐spot 1 protein, an allene oxide synthase, several glutathione transferases and peroxidases. Hybrid groups based on field biomass were used to search for the metabolite or protein responses differentiating them in growth‐chamber conditions, which could be of interest for breeding., Metabolomic and proteomic responses of diverse maize hybrids to progressive decreasing temperatures were larger from 20 to 16°C, partly mimicked those in the field, and involved primary and specialized metabolisms.
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- 2021
16. Variability of stem solidness among miscanthus genotypes and its role on mechanical properties of polypropylene composites
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Maryse Brancourt‐Hulmel, Raphaël Raverdy, Jordi Girones, Stéphanie Arnoult, Emilie Mignot, Yves Griveaux, Patrick Navard, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Centre de Mise en Forme des Matériaux (CEMEF), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-10-LABX-0040,SPS,Saclay Plant Sciences(2010), and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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specific weight ,biomass ,food and beverages ,TJ807-830 ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,Energy industries. Energy policy. Fuel trade ,Miscanthus sinensis ,composites ,Renewable energy sources ,cell-wall ,genotypes ,[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph] ,cell wall ,HD9502-9502.5 - Abstract
International audience; Miscanthus (Miscanthus Andersson) is a perennial grass that is attracting growing interest from the biomaterial industry. Our aim was to compare miscanthus genotypes varying in stem solidness, a measure of degree to which pith fills cavity between the outer walls of the stem, and analyze whether this trait influences the mechanical properties of polypropylene composites reinforced with miscanthus particles. Six contrasting genotypes were chosen from a Miscanthus sinensis population to determine morphological variables, stem solidness, and mechanical properties of polypropylene composites including 30% of milled miscanthus particles of two sizes of 100 < × < 200 μm and 200 < × < 300 μm. Although aboveground biomass of miscanthus was closely related to the aboveground volume of the plant, namely stand volume, a few genotypes showed contrasting aboveground biomass production for similar stand volumes. This generated contrasting ratio between aboveground biomass and stand volume, namely plant-specific weights, for similar plant volumes. A principal component analysis showed that fully pith-filled stems, namely solid stems, were explained by a large stand volume and plant-specific weights as well as small stem cross-sections. Genotypes showing partially filled stems were taller with larger stem cross-sections but smaller plant-specific weights. They revealed high lignin and p-coumaric acid contents. Compared to neat-polypropylene, Young's modulus increased significantly by 139% and 134% and tensile strength by 39% and 36% for genotypes with partially filled stems compared to genotypes with fully pith-filled stems, respectively. This difference in reinforcing capacity was similar to that of two particle sizes (139% and 134% for Young's modulus, 41% and 34% for tensile strength, respectively). A good tensile strength was obtained with large cross-stem section, plant height and lignin and p-coumaric acid contents. It decreased with plant-specific weight, hemicellulose and ferulic acid contents. Wider morphological variations in other progenies or Miscanthus species should be explored further using the techniques reported here.
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- 2021
17. Polysaccharides and phenolics of miscanthus belowground cell walls and their influence on polyethylene composites
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Catherine Lapierre, Jordi Girones, Emilie Gineau, Patrick Navard, Maryse Brancourt-Hulmel, Erika Di Giuseppe, Loan T.T. Vo, Stéphanie Arnoult-Carrier, Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Picardie Jules Verne (UPJV), Université de Lille, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Mines Paris - PSL (École nationale supérieure des mines de Paris)
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Arabinose ,Polymers and Plastics ,Coumaric Acids ,Fraction (chemistry) ,Mechanical properties ,02 engineering and technology ,Miscanthus ,Xylose ,010402 general chemistry ,Polysaccharide ,Poaceae ,01 natural sciences ,Lignin ,Cell wall ,Belowground materials ,chemistry.chemical_compound ,Phenols ,Cell Wall ,Polysaccharides ,Materials Chemistry ,Biomass ,Composite material ,Composites ,chemistry.chemical_classification ,biology ,Organic Chemistry ,Polyethylene ,021001 nanoscience & nanotechnology ,biology.organism_classification ,0104 chemical sciences ,[CHIM.POLY]Chemical Sciences/Polymers ,chemistry ,Xylans ,Cell wall phenolics ,0210 nano-technology - Abstract
International audience; Belowground materials from two miscanthus species were ground into fragments for preparing polyethylene composites. Both species show a lot of similarities in terms of polysaccharides, lignin and cell wall-linked p-coumaric and ferulic acids contents. The structures of polysaccharides and of lignins are markedly different in the miscanthus belowground and aboveground biomass. The non-cellulosic fraction of the samples comprises a high level of xylose, with the arabinose to xylose ratio about twice as high as that observed for analogous stem samples, suggesting that belowground arabinoxylans are more substituted than stem ones. The mechanical properties of the belowground miscanthus-polyethylene composites correlate with several of their compositional traits, with similar trends as for plant stem-polyethylene composites with positive correlations for lignin and p-coumaric acid contents and negative correlations for most non-cellulosic sugars.
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- 2021
18. Thermal and dynamic mechanical characterization of miscanthus stem fragments: Effects of genotypes, positions along the stem and their relation with biochemical and structural characteristics
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Luc Vincent, Stéphane Corn, Dieter de Ridder, Lucie Chupin, Patrick Navard, Nicolas Le Moigne, Lata Soccalingame, Emilie Gineau, Stéphanie Arnoult, Alice Mija, Grégory Mouille, Maryse Brancourt-Hulmel, Catherine Lapierre, Université Côte d'Azur, CNRS, UMR 7272, Institut de Chimie de Nice, Nice, Centre de Mise en Forme des Matériaux (CEMEF), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Polymères Composites et Hybrides (PCH - IMT Mines Alès), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Durabilité des éco-Matériaux et Structures (DMS), Laboratoire de Mécanique et Génie Civil (LMGC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-IMT - MINES ALES (IMT - MINES ALES), MINES ParisTech - École nationale supérieure des mines de Paris, Transfrontalière BioEcoAgro (Transfrontalière BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Nice Sophia Antipolis (... - 2019) (UNS)
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0106 biological sciences ,Stem fragments ,Thermal properties ,biology ,Genotype ,010405 organic chemistry ,Mechanical properties ,Miscanthus ,[CHIM.MATE]Chemical Sciences/Material chemistry ,biology.organism_classification ,01 natural sciences ,0104 chemical sciences ,Characterization (materials science) ,chemistry.chemical_compound ,chemistry ,Biochemical composition ,Polymer composites ,Biophysics ,Lignin ,[CHIM]Chemical Sciences ,Agronomy and Crop Science ,ComputingMilieux_MISCELLANEOUS ,010606 plant biology & botany - Abstract
International audience; The thermal and dynamic mechanical properties of miscanthus stem fragments and differences between genotypes and positions along the stem are studied in relation with their biochemical and structural characteristics. The starting degradation temperature does not correlate to the biochemical composition. However, the first DTG peak temperature is negatively correlated to hemicelluloses content and positively correlated to lignin and p-coumaric contents. A pronounced genotypic effect is evidenced on fragments elastic moduli while limited effect of the position along the stem is found. This is mostly related to ferulic and p-coumaric acid contents of stem fragments for which a strong correlation to elastic moduli is evidenced. Our results highlight that genotypic effect, position along the stem, stem fragment dimensions and mechanical properties of miscanthus stem fragments are strongly interconnected in relation with their respective biochemical and structural characteristics. This opens interesting perspectives for identifying key biological traits that need to be optimized for a better selection of performing miscanthus genotypes targeted to polymer composite applications.
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- 2020
19. Economical optimization of a breeding scheme by selective phenotyping of the calibration set in a multi-trait context: application to bread making quality
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Jérôme Auzanneau, Catherine Ravel, S. Bouchet, Emmanuel Heumez, S. Ben-Sadoun, Renaud Rincent, Gilles Charmet, B. Rolland, F. Oury, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Agri Obtentions (AO), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Région Auvergne-Rhône-Alpes, AGRIMER, French Fund to support Plant Breeding (FSOV), ANR-10-BTBR-0003,BREEDWHEAT,Développer de nouvelles variétés de blé pour une agriculture durable(2010), European Project: FEDER, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
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0106 biological sciences ,Crops, Agricultural ,Coefficient of determination ,Breeding program ,Genotype ,media_common.quotation_subject ,Population ,Quantitative Trait Loci ,Trait-assisted selection ,Context (language use) ,Biology ,01 natural sciences ,Linkage Disequilibrium ,[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics ,Statistics ,Resource allocation optimization ,Genetics ,Quality (business) ,Selection, Genetic ,Wheat baking quality ,education ,Triticum ,health care economics and organizations ,media_common ,Selective phenotyping ,education.field_of_study ,Genome ,Models, Genetic ,Agriculture ,Bayes Theorem ,General Medicine ,Bread ,Genomics ,Plant Breeding ,Phenotype ,Genetic gain ,Calibration ,Trait ,Resource allocation ,Food Technology ,Multi-trait selection ,France ,Agronomy and Crop Science ,010606 plant biology & botany ,Biotechnology ,Coefficient of determination (CD) - Abstract
International audience; Trait-assisted genomic prediction approach is a way to improve genetic gain by cost unit, by reducing budget allocated to phenotyping or by increasing the program's size for the same budget. This study compares different strategies of genomic prediction to optimize resource allocation in breeding schemes by using information from cheaper correlated traits to predict a more expensive trait of interest. We used bread wheat baking score (BMS) calculated for French registration as a case study. To conduct this project, 398 lines from a public breeding program were genotyped and phenotyped for BMS and correlated traits in 11 locations in France between 2000 and 2016. Single-trait (ST), multi-trait (MT) and trait-assisted (TA) strategies were compared in terms of predictive ability and cost. In MT and TA strategies, information from dough strength (W), a cheaper trait correlated with BMS (r = 0.45), was evaluated in the training population or in both the training and the validation sets, respectively. TA models allowed to reduce the budget allocated to phenotyping by up to 65% while maintaining the predictive ability of BMS. TA models also improved the predictive ability of BMS compared to ST models for a fixed budget (maximum gain: + 0.14 in cross-validation and + 0.21 in forward prediction). We also demonstrated that the budget can be further reduced by approximately one fourth while maintaining the same predictive ability by reducing the number of phenotypic records to estimate BMS adjusted means. In addition, we showed that the choice of the lines to be phenotyped can be optimized to minimize cost or maximize predictive ability. To do so, we extended the mean of the generalized coefficient of determination (CD) criterion to the multi-trait context (CD).
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- 2020
20. Regulation of carbon metabolism in two maize sister lines contrasted for chilling tolerance
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Michelle Lequart, Joshua L. Heazlewood, Hélène Sellier-Richard, Catherine Giauffret, Solène Bassard, Pierre Baldet, Yves Gibon, Catherine Rayon, Jean-Marc Domon, Catalina Duran Garzon, Carsten Rautengarten, Biologie des Plantes et Innovation - UR UPJV 3900 (BIOPI), Université de Picardie Jules Verne (UPJV)-Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Université d'Artois (UA)-Université de Liège-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), School of Biosciences, University of Birmingham [Birmingham], Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université de Picardie Jules Verne (UPJV), Transfrontalière BioEcoAgro (Transfrontalière BioEcoAgro), and Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
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0106 biological sciences ,0301 basic medicine ,NDP sugars ,Sucrose ,Physiology ,Starch ,Plant Science ,Photosynthetic efficiency ,Photosynthesis ,01 natural sciences ,Zea mays ,Cell wall ,03 medical and health sciences ,chemistry.chemical_compound ,parasitic diseases ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Chilling ,2. Zero hunger ,biology ,Abiotic stress ,fungi ,food and beverages ,Metabolism ,biology.organism_classification ,Adaptation, Physiological ,Carbon ,Maize ,Non-structural sugars ,Cold Temperature ,Horticulture ,030104 developmental biology ,chemistry ,Seedling ,010606 plant biology & botany - Abstract
UMR BFP - Equipe Métabolisme; International audience; Maize can grow in cool temperate climates but is often exposed to spring chilling temperatures that can affect early seedling growth. Here, we used two sister double-haploid lines displaying a contrasted tolerance to chilling to identify major determinants of long-term chilling tolerance. The chilling-sensitive (CS) and the chilling-tolerant (CT) lines were grown at 14°C day/10°C night for 60 days. CS displayed a strong reduction in growth and aerial biomass compared to CT. Photosynthesis efficiency was affected with an increase in energy dissipation in both lines. Chilling tolerance in CT was associated with higher chlorophyll content, glucose-6-phosphate dehydrogenase activity and sucrose-to-starch ratio. Few changes in cell wall composition were observed in both genotypes. There was no obvious correlation between nucleotide sugar content and cell wall polysaccharide composition. Our findings suggest that the central starch-sucrose metabolism is one major determinant of the response to low temperature, and its modulation accounts for the ability of chilling-tolerant plants to cope with low temperature. This modulation seemed to be linked to a strong alteration in the biosynthesis of nucleotide sugars which at a high level, could reflect the remobilization of carbon in response to chilling.
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- 2020
21. Transcriptome analysis of a chilling tolerance strategy in European maize dent germplasm
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Garzon, Catalina Durand, Sellier-Richard, Hélène, Drouaud, Jan, Soubigou-Taconnat, Ludivine, Brunaud, Veronique, Martin-Magniette, Marie-Laure, Rayon, Catherine, Gutierrez, Laurent, Coursol, Sylvie, Giauffret, Catherine, Biologie des Plantes et Innovation - UR UPJV 3900 (BIOPI), Université de Picardie Jules Verne (UPJV)-Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Université d'Artois (UA)-Université de Liège-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroressources et Impacts environnementaux (AgroImpact), Institut des Sciences des Plantes de Paris-Saclay (IPS2 (UMR_9213 / UMR_1403)), Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-Université Paris Diderot - Paris 7 (UPD7)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université de Picardie Jules Verne (UPJV), Institut Jean-Pierre Bourgin (IJPB), This research was supported by a Grant from the Conseil Régional Hauts de France, France, within the framework of the REG15019-COOLBIOM project (2015–2018), and the LabEx Saclay Plant Sciences-SPS (ANR-10-LABX-0040-SPS)., and AgroParisTech-Institut National de la Recherche Agronomique (INRA)
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[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics ,[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,parasitic diseases ,fungi ,food and beverages - Abstract
International audience; Maize has become an extensively cultivated crop in high latitudes like Northern Europe thanks to historical improvements of cold tolerance. However, earlier sowing increase the risk of exposure to longer chilling periods, affecting early growth and frequently plant performance and final yield. Understanding how maize responds to chilling periods is therefore a major task to both better understand maize local adaptation and improve agriculture. Here, we evaluated two sister double-haploid dent maize lines sharing 82% of their genome and displaying a contrasted tolerance to chilling. Using an Illumina stranded and paired-end mRNA-seq dataset from leaves of both sister lines grown under control and chilling conditions, we captured the allelic variation consequences at the transcript level. Clustering of differentially expressed gene profiles let us identify 574 genes differentially expressed, 513 and 61 being up- and down-expressed in the chilling-tolerant line compared to the chilling-sensitive line. We then explored how the variation in gene expression contributes to the variation in phenotypic traits. Genes associated with these traits were identified, paving the way for pinpointing candidate genes for chilling tolerance in future follow-up studies.
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- 2019
22. [NIL-N] Caractérisation de régions chromosomiques pour augmenter l’efficacité d’utilisation de l’azote et la teneur en protéines
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Throude, Mickael, Le Gouis, Jacques, Salse, Jerome, Pont, Caroline, Rougeol, Séverine, Beauchene, Katia, Derory, Jérémy, Duque, Céline, Tropee, Didier, Heumez, Emmanuel, Chassin, Alain, Duranton, Nadine, Lafarge, Stephane, Praud, Sebastien, BIOGEMMA [Centre de recherche de Chappes], Biogemma, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), ARVALIS - Institut du Végétal [Ouzouer le Marché] (ARVALIS), ARVALIS - Institut du végétal [Paris], Limagrain Europe [Chappes], Limagrain Europe [Verneuil l'Etang], Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), UE 1375 Phénotypage Au Champ des Céréales, Institut National de la Recherche Agronomique (INRA)-Santé des plantes et environnement (S.P.E.)-Biologie et Amélioration des Plantes (BAP)-Phénotypage Au Champ des Céréales (PHACC), FSOV, ANR-10-BTBR-0003,BREEDWHEAT,Développer de nouvelles variétés de blé pour une agriculture durable(2010), and Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[SDV]Life Sciences [q-bio] ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience
- Published
- 2019
23. Methane Production Variability According to Miscanthus Genotype and Alkaline Pretreatments at High Solid Content
- Author
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Hélène Carrère, Hélène Laurence Thomas, Maryse Brancourt-Hulmel, Stéphanie Arnoult, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroressources et Impacts environnementaux (AgroImpact), ANR-11-BTBR-0006-BFF, and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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0106 biological sciences ,anaerobic digestion ,high solid content ,020209 energy ,[SDV]Life Sciences [q-bio] ,Biomass ,Lignocellulosic biomass ,Context (language use) ,02 engineering and technology ,01 natural sciences ,7. Clean energy ,Methane ,chemistry.chemical_compound ,Biogas ,Bioenergy ,genotypes ,010608 biotechnology ,0202 electrical engineering, electronic engineering, information engineering ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,lignocellulosic biomass ,biology ,Renewable Energy, Sustainability and the Environment ,Chemistry ,Miscanthus ,Biorefinery ,biology.organism_classification ,Horticulture ,13. Climate action ,alkaline pretreatments ,[SDE]Environmental Sciences ,miscanthus ,Agronomy and Crop Science ,Energy (miscellaneous) - Abstract
International audience; In the context of increasing needs of lignocellulosic biomass for emerging biorefinery, miscanthus is expected to represent a resource for energy production. Regarding biogas production, its potential may be improved either by genotype selection or pretreatment. Eight different miscanthus genotypes belonging to Miscanthus x giganteus (FLO, GID and H8), M. sacchariflorus (GOL, MAL, AUG, H6) and M. sinensis (H5) species were first compared for biomass composition and potential methane. In a second time, alkali pretreatments (NaOH 10g100g(TS)(-1), CaO 10g100g(TS)(-1)) were applied at ambient temperature and high solid content, in different conditions of duration and particle size on the genotype FLO presenting the lowest methane potential. The methane potential varied between miscanthus genotypes with values ranging from 166 +/- 10 to 202 +/- 7NmL(CH4)g(VS)(-1). All of the studied pretreatments increased the methane production up to 55% and reduced Klason lignin and holocellulose contents up to 37%. From this study, NaOH was more efficient than CaO with an increase of the methane production between 24 and 55% and between 19 and 30%, respectively.
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- 2019
24. Sélection pour les associations blé-pois : les caractéristiques des variétés de pois en culture pure sont-elles prédictives de leur comportement en culture associé
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Moutier, Nathalie, Floriot, Matthieu, Brun, Christelle, Falchetto, Laurent, Legall, Cécile, Deulvot, Chrystel, Marget, Pascal, Lejeune-Henaut, Isabelle, Lecomte, Christophe, Hanocq, Eric, Baranger, Alain, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Agri Obtentions (AO), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Terres Innovia, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), Institut Charles Viollette (ICV) - EA 7394 (ICV), Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille, «développement agricole et rural» CASDAR géré par le Ministère de l'Agriculture, de l'Agroalimentaire et des Forêts - projet ECoVAB, programme Innovation Variétale et Diversification financé par l'INRA et Agri-Obtentions – projet CéréLAG, Institut National de la Recherche Agronomique (INRA). FRA. Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), FRA. Terres Univia, FRA. Terres Inovia, FRA., Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture
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[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
Prod 2018-220k BAP GEAPSI INRA; National audience
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- 2018
25. Combined metabolomic and proteomic profiling of maize leaf to reveal metabolic responses to cold temperatures
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Urrutia, Maria, Blein-Nicolas, Melisande, Bernillon, Stéphane, Deborde, Catherine, Maucourt, Mickaël, Jacob, Daniel, Ballias, Patricia, Benard, Camille, Sellier, Hélène, Gibon, Yves, Giauffret, Catherine, Zivy, Michel, Moing, Annick, Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Plateforme Métabolome [Bordeaux] (PMB), Institut National de la Recherche Agronomique (INRA), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Agroressources et Impacts environnementaux (AgroImpact), Plateforme d'Analyse Protéomique de Paris Sud Ouest (PAPPSO), and Réseau Francophone de Métabolomique et Fluxomique
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proteomics ,Métabolisme ,environmental changes ,[SDV]Life Sciences [q-bio] ,maize leaf ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,metabolomics ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2018
26. Projets IVD INRA-AgriObtentions variétales pour les légumineuses à graines
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Moutier, Nathalie, Floriot, Mathieu, Hanocq, Eric, Marget, Pascal, Cailliatte, Rémy, Lejeune-Henaut, Isabelle, ProdInra, Migration, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Agri Obtentions (AO), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroécologie [Dijon], Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Génétique et Amélioration des Fruits et Légumes (GAFL), Institut Charles Viollette (ICV) - EA 7394 (ICV), Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture, Institut National de la Recherche Agronomique (INRA). FRA., Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), and Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille
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[SDV] Life Sciences [q-bio] ,[SDE] Environmental Sciences ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
Prod 2018-220l BAP GEAPSI INRA; National audience
- Published
- 2018
27. Projet SYSTEM-ECO4 : Evaluation de systèmes de grandes cultures à faible usage de pesticides
- Author
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Munier-Jolain, Nicolas, Abgrall, Michel, Adeux, Guillaume, Alletto, L., cordeau, Stéphane, Darras, S., Deswarte, Caroline, Farcy, Pascal, Gavaland, André, Justes, Eric, Giuliano, S, Meunier, D., Pernel, J., Raffaillac, Didier, Gleizes, B., Tison, G., Ubertosi, Marjorie, Agroécologie [Dijon], Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Chambre Régionale d'Agriculture d'Occitanie (CRA Occitanie), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Agro-Transfert Ressources et Territoires, Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), Chambre d'agriculture régionale d'Occitanie, Unité Expérimentale Grandes Cultures Innovation Environnement (UE GCIE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Munier-Jolain, Nicolas
- Subjects
Protection intégrée ,[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture ,système de culture ,adventices ,protection intégrée ,multiperfor mance ,lysimètre ,weeds ,integrated pest management ,cropping system ,assessment ,Lysimètre ,Système de culture ,Weeds ,Assessment ,Adventices ,Integrated Pest Management ,Multiperformance ,Cropping system - Abstract
19 prototypes de systèmes de culture ont été testés sur quatre sites contrastés (Picardie, Bourgogne et deux sites dans la région de Toulouse). Ces systèmes de grandes cultures ont été conçus selon les principes de Protection Intégrée pour limiter l’usage des pesticides en général et des herbicides en particulier. Les combinaisons de leviers alternatifs ont permis de gérer durablement la flore adventice avec peu d’herbicides, et de baisser l’usage de l’ensemble des pesticides. Certains systèmes permettent de concilier faible IFT et bonne performance économique. Trois sites ont été instrumentés pour collecter des eaux de drainage et mesurer les transferts de substances actives. Ces dispositifs ont permis d’établir un lien entre les IFT cumulés et les quantités de substance transférées dans les eaux, à l’échelle d’un site et sur trois années de mesure, confirmant ainsi le lien entre l’usage de pesticides et leur impact. Les prototypes fondés sur le semis direct ont été décevants: ils ont nécessité beaucoup d’herbicides pour maîtriser les adventices, les quantités de substances actives transférées sous ces parcelles ont été importantes, et les performances économiques ont été moyennes., 19 ‘low pesticide input’ arable cropping systems were tested on four experimental sites, from northern to southern France. Cropping systems were designed according to the Integrated Pest Management principles with the aim of reducing pesticide reliance, with a special focus on herbicides and weed management. Combinations of several non-chemical management measures provided long term weed control with little amounts of herbicides, and made it possible to decrease significantly all pesticide inputs. Some of the systems tested were also associated with a satisfying economic profitability. Three sites were equipped so as to collect percolating water at a depth of one meter in the soil, and to measure active ingredient transfers toward ground water. For a given site and over the three years of successive measurement, results showed a clear link between the cumulated treatment frequency index and the amount of pesticides transferred, hence confirming the link between pesticide use and pesticide impact. Cropping systems prototypes based on direct drilling were underwhelming: they required high amounts of herbicides to control weeds, high quantities of residues were collected below ground, and economic performances were rather poor.
- Published
- 2018
28. Polyethylene composites made from below-ground miscanthus biomass
- Author
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Maryse Brancourt-Hulmel, Catherine Lapierre, Emilie Gineau, Patrick Navard, Stéphanie Arnoult, Lucie Chupin, Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroressources et Impacts environnementaux (AgroImpact), Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Centre National de la Recherche Scientifique (CNRS)-PSL Research University (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Unité Expérimentale Grandes Cultures Innovation Environnement (UE GCIE), and Agrosystèmes et impacts environnementaux carbone-azote (Agro-Impact)
- Subjects
0106 biological sciences ,Materials science ,Perennial plant ,biology ,Composite number ,Izod impact strength test ,02 engineering and technology ,Miscanthus ,Polyethylene ,021001 nanoscience & nanotechnology ,biology.organism_classification ,01 natural sciences ,Rhizome ,[SPI.MAT]Engineering Sciences [physics]/Materials ,chemistry.chemical_compound ,chemistry ,Miscanthus Rhizomes Composites Mechanical properties ,Ultimate tensile strength ,Cellulose ,Composite material ,0210 nano-technology ,Agronomy and Crop Science ,010606 plant biology & botany - Abstract
International audience; Miscanthus is a perennial grass which may be interesting for the composite industrial sector. When the cycle of the crop comes to the end, the biomass below ground need to be valorized. One never-studied topic is to evaluate its potential valorization as composites. Below-ground (rhizomes plus roots) biomass of Miscanthus × giganteus cultivated on three different blocks with three different nitrogen fertilization levels were collected, ground, sieved and used as fillers in a polyethylene matrix. Miscanthus rhizome plus roots fragments have a very low axial ratio around two, in contrast with stem fragments which are three to four times more elongated. The mechanical properties of composites filed with rhizome plus roots fragments are much below the ones of the composites filled with stem fragments. The tensile strength is about half the values of stem composites (7.4 MPa for rhizomes compared with 13 MPa for stems) and there is a very large drop of the Young’s modulus, down to 260 MPa compared with 900–1000 MPa for stems. Only impact strength has good values (6–7 kJ/m2). The very low aspect ratio of the rhizome fragments combined with the fact that there are twice more cellulose in stems than in rhizomes with a non cellulosic polysaccharides-cellulose ratio being twice larger for rhizomes (about 1 for rhizomes and 0.45 for stems) are both acting in the same direction of lowering the mechanical properties of rhizome fragment-based polymer composites. These low mechanical properties are restricting the use of such composites to applications were the low cost is the main factor of choice.
- Published
- 2017
29. Promising genotypes and alkaline pretreatments for methane production from miscanthus
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Thomas, Hélène, Carrère, Hélène, Arnoult-Carrier, Stéphanie, Brancourt-Hulmel, Maryse, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroressources et Impacts environnementaux (AgroImpact), and International Water Association (IWA). INT.
- Subjects
anaerobic digestion ,genotypes ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,digestion anaérobie ,alkaline pretreaments ,miscanthus ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology - Abstract
International audience; Miscanthus has been studied and used for several energy vectors production such as bioethanol. For anaerobic digestion it presents a low methane potential but this potential can be improved either by genotype selection or pretreatment. Eight different miscanthus genotypes belonging to M. x giganteus, M. sacchariflorus and M. sinensis species were studied. In a second time, alkali pretreatments (NaOH 10g 100gTS-1, CaO 10g 100gTS-1) were applied in different operational conditions : temperature, time, solids content, particle size on Flo genotype. The methane potential varied between miscanthus genotypes with values ranging from 166 ± 10 NmLCH4 gVS-1 to 202 ± 7 NmLCH4 gVS-1. Regarding the pretreatments and operational conditions tested in this study, soda is more efficient than the lime. All of the studied pretreatments increased the kinetics and the methane production (from 17% to 121%).
- Published
- 2017
30. Influence of the radial stem composition on the thermal behaviour of miscanthus and sorghum genotypes
- Author
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Grégory Mouille, Catherine Lapierre, Maryse Brancourt-Hulmel, Anne Clément-Vidal, David Pot, Dieter de Ridder, Luc Vincent, Armelle Soutiras, Stéphanie Arnoult, Emilie Gineau, Lucie Chupin, Alice Mija, Patrick Navard, Centre de Mise en Forme des Matériaux (CEMEF), Centre National de la Recherche Scientifique (CNRS)-PSL Research University (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité Expérimentale Grandes Cultures Innovation Environnement (UE GCIE), Institut National de la Recherche Agronomique (INRA), Agrosystèmes et impacts environnementaux carbone-azote (Agro-Impact), Laboratoire de physique de la matière condensée (LPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Agroressources et Impacts environnementaux (AgroImpact), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), program Investments for the Future [ANR-11-BTBR-0006-BFF], and ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
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0106 biological sciences ,Polymers and Plastics ,Tige ,02 engineering and technology ,01 natural sciences ,Lignin ,[SPI.MAT]Engineering Sciences [physics]/Materials ,chemistry.chemical_compound ,Biomasse ,0202 electrical engineering, electronic engineering, information engineering ,Materials Chemistry ,Thermal analysis ,Plant Stems ,Temperature ,Biochemical composition ,food and beverages ,Miscanthus ,Composition chimique ,Sorghum bicolor ,Thermal behavior ,Composition (visual arts) ,Propriété thermochimique ,Lignocellulose ,Génotype ,Genotype ,020209 energy ,Thermal resistance ,F60 - Physiologie et biochimie végétale ,Biology ,Poaceae ,Sugar ,Sorghum ,Propriété physicochimique ,Organic Chemistry ,biology.organism_classification ,Température ,chemistry ,Agronomy ,010606 plant biology & botany - Abstract
International audience; The hypothesis made is that thermal resistance of sorghum and miscanthus stem pieces taken at well-defined positions of the stem is simply related to their biochemical composition. For miscanthus, two different genotypes and two internode levels were selected. For each region, the stem was divided into three radial layers. For sorghum, two different genotypes were selected and the stem was divided into the same three radial layers. The results show that the thermal analysis is only sensitive to very large variations of compositions. But aside of such large composition differences, it is impossible to correlate thermal effects to biochemical composition even on very small size, well-identified pieces of plant materials. The interplay between sugar-based components, lignin and minerals is totally blurring the thermal response. Extreme care must be exercised when willing to explain why a given plant material has a thermal behaviour different of another plant material.
- Published
- 2017
31. Influence of the amount and position of cellulose in plant stems on the behavior of plant stem reinforced-polymer composites
- Author
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Chupin, Lucie, Vo, Thi To Loan, Di Giuseppe, Erika, Girones, Jordi, Jaffuel, Sylvie, Verdeil, Jean-Luc, Clément-Vidal, Anne, Soutiras, Armelle, Pot, David, Bastianelli, Denis, Bonnal, Laurent, Gineau, Emilie, MOUILLE, Grégory, Arnoult, Stéphanie, Brancourt-Hulmel, Maryse, Navard, Patrick, Centre de Mise en Forme des Matériaux (CEMEF), Centre National de la Recherche Scientifique (CNRS)-PSL Research University (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité Expérimentale Grandes Cultures Innovation Environnement (UE GCIE), Institut National de la Recherche Agronomique (INRA), Agrosystèmes et impacts environnementaux carbone-azote (Agro-Impact), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), and Agroressources et Impacts environnementaux (AgroImpact)
- Subjects
food and beverages ,Cellulose ,Polymer composite ,[SPI.MAT]Engineering Sciences [physics]/Materials - Abstract
International audience; Polymer composites prepared with a polymer matrix reinforced by elongated, broken fragments of plant stems can in some cases favorably compete with the same composite reinforced by glass fibers. However, the mechanical properties of the final composite are directly related to the properties of the stem fragments. Cellulose is the main polymer controlling the mechanical strength of these fragments. Two plants will be studied, miscanthus and sorghum. We will show that amount of cellulose in the stem fragments depends on the preparation methods of these fragments. We will report the correlations which exists between the amount of cellulose and its location within the different tissues of the stem and the mechanical properties of the final composite product.
- Published
- 2016
32. Genome-Wide association mapping of frost tolerance in Pisum sativum
- Author
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Beji, Sana, Fontaine, Véronique, Devaux, R., Negro, Sandra Silvia, Bahrman, Nasser, Aubert, Gregoire, Delbreil, Bruno, Lejeune-Henaut, Isabelle, Institut Charles Viollette (ICV) - EA 7394 (ICV), Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture, Domaine expérimental de Brunehaut (LILL MONS UE), Institut National de la Recherche Agronomique (INRA), UE : Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie, PERONNE, Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Legume Society., Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille, Institut Charles Viollette (ICV) - EA 7394 ( ICV ), Université du Littoral Côte d'Opale ( ULCO ) -Université d'Artois ( UA ) -Institut Supérieur d'Agriculture-Université de Lille-Institut National de la Recherche Agronomique ( INRA ), Domaine expérimental de Brunehaut ( LILL MONS UE ), Institut National de la Recherche Agronomique ( INRA ), Mathématiques et Informatique Appliquées ( MIA-Paris ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, and Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté ( UBFC )
- Subjects
[ SDV ] Life Sciences [q-bio] ,[SDV]Life Sciences [q-bio] - Abstract
BAP GEAPSI BAP GEAPSIBAPGEAPSI; Genome Wide Association Mapping was performed in pea. Accessions from the pea reference collection where phenotyped for frost in field and controlled conditions, and genotyped using Infinium®BeadChip 15K SNPs (Tayeh et al., 2015). After applying filters of quality control, we obtained 363 accessions and 10739 loci for GWA study. Association analyses were conducted with FaST-LMM software using a mixed model that included a relatedness kinship matrix (K) and a population structure matrix (Q) to control for false positives. The K matrix was generated using two approaches. In the first one, the kinship matrix was estimated with all the 10739 markers. In the second approach, we estimated the kinship, called “K-chr”, with all the markers other than those located on the same chromosome as the marker being tested (Rincent et al., 2014). Simulations revealed that Rincent’s approach was more powerful than the mixed model taking into account a general kinship (estimated for all chromosomes). The GWA study identified 8 loci distributed over different chromosomes comprising 61 SNPs significantly associated with frost tolerance. Results confirmed 3 QTLs that were previously mapped using bi-parental populations and identified 3 novel tolerance loci. Several potential-candidate genes were found corresponding to these SNPs. Additionally, the analyses allowed to identify haplotypes with increased frost tolerance and accessions with favourable alleles for this trait.
- Published
- 2016
33. Miscanthus stem fragment – Reinforced polypropylene composites: Development of an optimized preparation procedure at small scale and its validation for differentiating genotypes
- Author
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Loan Vo, Patrick Navard, Maryse Brancourt-Hulmel, Stéphanie Arnoult, Jordi Girones, Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Unité de recherche Génétique et amélioration des plantes (GAP), program Investments for the Future [ANR-11-BTBR-0006-BFF], Centre National de la Recherche Scientifique (CNRS)-PSL Research University (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, and Unité Expérimentale Grandes Cultures Innovation Environnement (UE GCIE)
- Subjects
0106 biological sciences ,Materials science ,Polymers and Plastics ,Scale (ratio) ,biology ,Fragment (computer graphics) ,Organic Chemistry ,Mixing (process engineering) ,Biomass ,Mechanical properties ,02 engineering and technology ,Miscanthus ,021001 nanoscience & nanotechnology ,biology.organism_classification ,01 natural sciences ,Particle-reinforced composite ,[SPI.MAT]Engineering Sciences [physics]/Materials ,Coupling (piping) ,Biocomposite ,Composite material ,Natural fibers ,0210 nano-technology ,Reinforcement ,010606 plant biology & botany - Abstract
International audience; The production of ligno-cellulosic biomass-based composites requires the development of new methodologies to evaluate the reinforcement potential of a given biomass, such as miscanthus studied in the work. Miscanthus stems from thirteen genotypes were broken into elongated fragments and mixed with polypropylene composites in an internal mixer. The aim is to find the best protocol able to discriminate miscanthus genotypes for their reinforcement capability. The following process parameters were optimized in order to maximize the reinforcement effect of the stem fragment filler: mixing parameters (mixing time, rotor speed and chamber temperature), temperature, fragment content, size and length distributions and coupling agent. The relationship between the process parameters and the mechanical properties of composites were analyzed to evaluate the influence of genotype on reinforcement performance, showing the robustness of the protocol in effectively discriminating genotypes according to their reinforcing capacity.
- Published
- 2016
34. Transfer of a miniaturized method for high-throughput screening of biomass pretreatment and saccharification and application on poplar and miscanthus clones
- Author
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Belmokhtar, Nassim, Segura, Vincent, Chabbert, Brigitte, Boizot, Nathalie, Ader, Kévin, ARNOULT-CARRIER, Stéphanie, Brancourt, Maryse, Bastien, Jean-Charles, Bastien, Catherine, Charpentier, Jean-Paul, Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF), Institut National de la Recherche Agronomique (INRA), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), Domaine expérimental de Brunehaut (LILL MONS UE), Agroressources et Impacts environnementaux (AgroImpact), Unité de recherche Amélioration, Génétique et Physiologie Forestières (UAGPF), Fractionnement des AgroRessources et Environnement - UMR-A 614 (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Unité d'Agronomie de Laon-Reims-Mons (AGRO-LRM), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), and projet Futurol
- Subjects
[SDV.BIO]Life Sciences [q-bio]/Biotechnology ,Vegetal Biology ,[SDV]Life Sciences [q-bio] ,Biotechnologies ,haut débit ,populus ,Miscanthus ,pretreatment ,Saccharification ,saccharification ,biomass ,high-throughput ,poplar ,miscanthus ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,biomasse ,prétraitement ,Biomass ,ComputingMilieux_MISCELLANEOUS ,Biologie végétale ,Poplar - Abstract
CT2 ; Département BAP; Transfer of a miniaturized method for high-throughput screening of biomass pretreatment and saccharification and application on poplar and miscanthus clones. Exploring lignocellulosic biomass
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- 2016
35. Combining LCMS data from two years for plant performance biomarkers discovery
- Author
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Urrutia Rosauro, Maria, Bernillon, Stéphane, LAMARI, Nadia, Maucourt, Mickael, Ballias, Patricia, SELLIER, Hélène, Gibon, Yves, Giauffret, Catherine, Moing, Annick, ProdInra, Migration, Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), Biologie du fruit et pathologie (BFP), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), and Metabolomics Society.
- Subjects
[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2016
36. Gérer les adventices sans herbicides
- Author
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Savoie, Antoine, Cellier, Vincent, Berthier, Alain, Colnenne-David, Caroline, Darras, Sébastien, Deytieux, Violaine, Aubertot, Jean-Noel, Unité Expérimentale de Physiologie Animale de l‘Orfrasiére (UE PAO), Institut National de la Recherche Agronomique (INRA), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Agronomie, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Office National de l'eau et des milieux aquatiques, and GIS GC HP2E. FRA. RMT Florad.
- Subjects
DEPHY Ecophyto ,agroécologie ,réseau expérimental ,zéro pesticide ,système de culture ,[SDE.ES]Environmental Sciences/Environmental and Society - Abstract
National audience; systèmes de culture innovants minimisant le recours aux pesticides, en combinant des leviers agronomiques et en valorisant les régulations biologiques, en grande culture et polyculture-élevage. Il a vu le jour en 2012 et regroupe 8 dispositifs expérimentaux (INRA et lycée agricole d’Auzeville) dans lesquels sont testés des systèmes de culture ayant en commun de ne pas recourir aux pesticides. Ses objectifs sont de : - concevoir et expérimenter des systèmes de culture sans pesticide dans différentes situations de production ; d’en évaluer les performances agronomiques, économiques, environnementales et sociales ; - analyser l’effet de ces systèmes sur l’évolution des communautés, notamment les bioagresseurs, et les régulations biologiques. Outre l’interdiction du recours aux pesticides, les systèmes testés doivent chercher à maximiser une production respectueuse des exigences des filières locales (les cultures de vente représentatives de la région doivent être maintenues et les critères de qualité des productions sont recherchés) et à maintenir le revenu de l’agriculteur. Les successions de cultures sont donc différentes selon les sites. Les systèmes de culture sont construits selon les principes de la protection intégrée en combinant des techniques alternatives, éprouvées ou suggérées par la bibliographie et les connaissances actuelles sur les bioagresseurs, en vue de réduire les risques de développement des bioagresseurs et de favoriser la mise en place de régulations biologiques. Bien qu’ils aient été conçus indépendamment les uns des autres, les systèmes de culture Rés0Pest utilisent des techniques communes pour la lutte contre les adventices, certaines étant raisonnées au niveau de la rotation (allongement de la rotation, diversification des cultures et des périodes de semis, alternance labour/non-labour, implantation de CIPAN, …), d’autres au niveau de l’itinéraire technique de chaque culture (faux-semis, désherbage mécanique, date et densité de semis…). Malgré son positionnement « zéro pesticide » très en rupture avec l’agriculture conventionnelle, Rés0Pest se distingue de l’Agriculture Biologique par l’alimentation azotée des cultures. En effet, la fertilisation minérale chimique est utilisée pour viser un rendement plus élevé, ce qui n'est pas sans conséquence sur le développement des adventives et des autres bioagresseurs. Rés0Pest permet donc d’obtenir des références originales intéressantes tant pour l’agriculture dite conventionnelle que pour l’Agriculture Biologique. Un tronc commun de mesures et d’observations a été mis en place sur le réseau dans le but de conduire un diagnostic agronomique et en particulier de suivre l’évolution de la flore adventice. Les trois premières campagnes expérimentales ont déjà permis de tirer des premiers enseignements sur la faisabilité et la maitrise de certaines combinaisons de techniques. Les expérimentations seront maintenues à minima pour les 3 prochaines campagnes culturales de manière à rendre possible l’étude des effets cumulatifs sur le long terme, en particulier sur la flore adventice.
- Published
- 2015
37. Gérer les adventices sans herbicides: Exemple des systèmes de culture (SdC) testés dans le réseau expérimental « zéro pesticides » Rés0Pest
- Author
-
Savoie, Antoine, Cellier, Vincent, Berthier, Alain, Colnenne-David, Caroline, Darras, Sébastien, Deytieux, Violaine, Aubertot, Jean-Noel, Unité Expérimentale de Physiologie Animale de l‘Orfrasiére (UE PAO), Institut National de la Recherche Agronomique (INRA), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Agronomie, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Office National de l'eau et des milieux aquatiques, and GIS GC HP2E. FRA. RMT Florad.
- Subjects
DEPHY Ecophyto ,agroécologie ,réseau expérimental ,zéro pesticide ,système de culture ,[SDE.ES]Environmental Sciences/Environmental and Society - Abstract
National audience; systèmes de culture innovants minimisant le recours aux pesticides, en combinant des leviers agronomiques et en valorisant les régulations biologiques, en grande culture et polyculture-élevage. Il a vu le jour en 2012 et regroupe 8 dispositifs expérimentaux (INRA et lycée agricole d’Auzeville) dans lesquels sont testés des systèmes de culture ayant en commun de ne pas recourir aux pesticides. Ses objectifs sont de : - concevoir et expérimenter des systèmes de culture sans pesticide dans différentes situations de production ; d’en évaluer les performances agronomiques, économiques, environnementales et sociales ; - analyser l’effet de ces systèmes sur l’évolution des communautés, notamment les bioagresseurs, et les régulations biologiques. Outre l’interdiction du recours aux pesticides, les systèmes testés doivent chercher à maximiser une production respectueuse des exigences des filières locales (les cultures de vente représentatives de la région doivent être maintenues et les critères de qualité des productions sont recherchés) et à maintenir le revenu de l’agriculteur. Les successions de cultures sont donc différentes selon les sites. Les systèmes de culture sont construits selon les principes de la protection intégrée en combinant des techniques alternatives, éprouvées ou suggérées par la bibliographie et les connaissances actuelles sur les bioagresseurs, en vue de réduire les risques de développement des bioagresseurs et de favoriser la mise en place de régulations biologiques. Bien qu’ils aient été conçus indépendamment les uns des autres, les systèmes de culture Rés0Pest utilisent des techniques communes pour la lutte contre les adventices, certaines étant raisonnées au niveau de la rotation (allongement de la rotation, diversification des cultures et des périodes de semis, alternance labour/non-labour, implantation de CIPAN, …), d’autres au niveau de l’itinéraire technique de chaque culture (faux-semis, désherbage mécanique, date et densité de semis…). Malgré son positionnement « zéro pesticide » très en rupture avec l’agriculture conventionnelle, Rés0Pest se distingue de l’Agriculture Biologique par l’alimentation azotée des cultures. En effet, la fertilisation minérale chimique est utilisée pour viser un rendement plus élevé, ce qui n'est pas sans conséquence sur le développement des adventives et des autres bioagresseurs. Rés0Pest permet donc d’obtenir des références originales intéressantes tant pour l’agriculture dite conventionnelle que pour l’Agriculture Biologique. Un tronc commun de mesures et d’observations a été mis en place sur le réseau dans le but de conduire un diagnostic agronomique et en particulier de suivre l’évolution de la flore adventice. Les trois premières campagnes expérimentales ont déjà permis de tirer des premiers enseignements sur la faisabilité et la maitrise de certaines combinaisons de techniques. Les expérimentations seront maintenues à minima pour les 3 prochaines campagnes culturales de manière à rendre possible l’étude des effets cumulatifs sur le long terme, en particulier sur la flore adventice.
- Published
- 2015
38. Rhizome filling seems to be triggered by climatic events in Miscanthus x giganteus
- Author
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ZAPATER, Marion, Postaire, Olivier, Bethancourt, L., Hervieu, Stéphane, Fingar, Laura, Mansard, Marie-Chantal, ARNOULT-CARRIER, Stéphanie, Ferchaud, Fabien, Brancourt-Humel, Maryse, Giauffret, Catherine, Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), and Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE)
- Subjects
[SDV]Life Sciences [q-bio] ,rhizome ,Biomasse ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Miscanthus ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2015
39. Cold treatment affects the metabolite profiles of maize leaves
- Author
-
LAMARI, Nadia, Zhendre, Vanessa, Bernillon, Stéphane, Maucourt, Mickael, Deborde, Catherine, Jacob, Daniel, Rolin, Dominique, SELLIER, Hélène, Gibon, Yves, Giauffret, Catherine, Moing, Annick, ProdInra, Migration, Biologie du fruit et pathologie (BFP), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroressources et Impacts environnementaux (AgroImpact), and Réseau Francophone de Métabolomique et Fluxomique (RFMF). FRA.
- Subjects
[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience
- Published
- 2015
40. Determining a critical nitrogen dilution curve in Miscanthus x giganteus
- Author
-
ZAPATER, Marion, Ollier, M., Mary, Bruno, Catterou, Manuella, Ferchaud, Fabien, Giauffret, Catherine, Strullu, Loic, ARNOULT-CARRIER, Stéphanie, Dubois, F., Brancourt-Hulmel, Maryse, Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), Université de Picardie Jules Verne (UPJV), and Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE)
- Subjects
Nitrogen ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,Miscanthus ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2015
41. Early prediction of Miscanthus biomass production and composition based on the first six years of cultivation
- Author
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Maryse Brancourt-Hulmel, Stéphanie Arnoult, Marie-Chantal Mansard, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, and Agroressources et Impacts environnementaux (AgroImpact)
- Subjects
2. Zero hunger ,Canopy ,biology ,Crop yield ,[SDV]Life Sciences [q-bio] ,Biomass ,food and beverages ,Miscanthus ,15. Life on land ,biology.organism_classification ,7. Clean energy ,Agronomy ,Early prediction ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Composition (visual arts) ,Agronomy and Crop Science - Abstract
International audience; Miscanthus is a promising feedstock for second-generation bioethanol production. This perennial crop produces its biomass in two phases: a yield-building phase, where the biomass production increases gradually, and a plateau phase, where it is maintained. However, to target the breeding of Miscanthus for second-generation bioethanol production, the early selection of interesting traits is critical. We therefore investigated the interannual correlations within and among the traits related to biomass production and composition. We studied 21 clones belonging to M. x giganteus J. M. Greef & Deuter ex Hodk. & Renvoize, M. sacchariflorus (Maxim.) Benth. & Hook. f. ex Franch., and M. sinensis Andersson species cultivated on plots from the second to the sixth year at two harvest dates. The biomass production, canopy height, plant stem number, and above-ground plant volume index were better predicted from the third year than from the second year (minimum correlation coefficients of 0.76 and 0.67 respectively). The stem diameter was well predicted from the second year (correlations above 0.93). The canopy height and the above-ground plant volume index determined in the second and third year were the best predictors of the biomass produced in the second, third, and fourth year (minimum correlations of 0.77 against 0.52 for flowering date or 0.64 for stem diameter). For older crops, the canopy height measured in the second and third year was the best predictor of the biomass production (correlations above 0.70). The interannual correlations were lower for the biomass composition-related traits than for the production-related traits and fluctuated over time. These results showed that early prediction of interesting traits is feasible to breed varieties tailored for biofuel production.
- Published
- 2015
42. Estimation of genetic parameters of a DH wheat population grown at different N stress levels characterized by probe genotypes
- Author
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Olivier Gardet, Maryse Brancourt-Hulmel, Jacques Le Gouis, Anne Laperche, Emmanuel Heumez, Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), unité experimentale Le Moulon, and Université de Lille, Sciences et Technologies-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
- Subjects
Yield (engineering) ,Genotype ,Nitrogen ,[SDV]Life Sciences [q-bio] ,Population ,chemistry.chemical_element ,Breeding ,Environment ,Biology ,Animal science ,Genetic variation ,Botany ,Genetics ,Poaceae ,education ,Triticum ,education.field_of_study ,General Medicine ,Straw ,Heritability ,Breed ,chemistry ,Regression Analysis ,Agronomy and Crop Science ,Biotechnology - Abstract
International audience; Low market prices and environmental concerns in Europe favor lower input wheat production systems. To efficiently breed for new varieties adapted to low input management while maintaining high yield levels, our objective was to characterize the heritability and its components for yield and nitrogen traits under different nitrogen levels. Two hundred and twenty-two doubled-haploid (DH) lines from the cross between Arche (tolerant) and Recital (sensitive) were tested in France at four locations in 2000, and three in 2001, under high (N+) and low (N-) nitrogen supplies. The response of yield to the environment of four probe genotypes, the parents and two controls, were tested and used as descriptors of these environments. Grain yield (GY), its components, and grain and straw nitrogen, called nitrogen traits, were studied. A factorial regression was performed to assess the sensitivity (slope) of the DH lines to nitrogen stress and their performance to low nitrogen supply. An index based on the nitrogen nutrition index at flowering of the probe genotype Recital was the best descriptor of the environment stress. Heritabilities of yield and nitrogen traits for both nitrogen supplies were always above 0.6. When nitrogen stress increased, heritabilities decreased and genotype x nitrogen interaction variances increased. The decrease in heritability was mainly explained by a decrease in genetic variance. Genetic variation for sensitivity to nitrogen stress and performance under low nitrogen supply were shown in the population. GY decreased from 278 to 760 g/m(2) per unit of nitrogen stress index increase and GY under moderate nitrogen stress varied from 340 to 613 g/m(2). Those contrasted reactions revealed specific lines to include in breeding programs for improving GY under low nitrogen supply.
- Published
- 2006
43. Towards genome-wide breeding for yield stability in spring pea
- Author
-
Klein, Anthony, Tayeh, Nadim, Siol, Mathieu, Herbommez, J.F., Pichon, Jean-Philippe, Duarte, Jorge, Duborjal, H., Houtin, Hervé, Blanc, Norbert, Valdrini, Jean-Marc, Walczak, Patrice, Bleriot, Olivier, Hanocq, Eric, Chassin, Alain, Bidon, Marc, Huart, Myriam, Touratier, Michael, Martin, Chantal, Jacquin, Françoise, Aubert, Gregoire, Burstin, Judith, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Adrien Momont & fils SARL, BIOGEMMA, Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Institut National de la Recherche Agronomique (INRA), Domaine expérimental de la Motte au Vicomte (RENN RHEU UE), Fourrages Environnement Ruminants Lusignan (FERLUS), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), UE 1375 Phénotypage Au Champ des Céréales, Institut National de la Recherche Agronomique (INRA)-Santé des plantes et environnement (S.P.E.)-Biologie et Amélioration des Plantes (BAP)-Phénotypage Au Champ des Céréales (PHACC), and Institut National de la Recherche Agronomique (INRA). FRA.
- Subjects
pea ,genomic selection ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,food and beverages ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[INFO]Computer Science [cs] - Abstract
National audience; Field pea (Pisum sativum L.) is an attractive crop for human and livestock nutrition and an important contributor to low-input farming systems. Multiple environmental challenges face field pea production and penalize yield regularity. The work-package 1 of the French National ANR project PeaMUST aims at identifying efficient gene combinations for yield stability in low-input cropping systems through genomic selection. Genomic selection is a new breeding method that uses increasingly abundant genomic information and statistical modelling to select superior genotypes based on genomic estimated breeding values (GEBVs). The main goals are: 1- to build a genomic selection prediction equation for yield stability in low-input cropping systems, 2- to implement a genomic selection program and, 3- to evaluate the genetic progress obtained after one and two genomic selection cycles.
- Published
- 2014
44. Indirect versus Direct Selection of Winter Wheat for Low‐Input or High‐Input Levels
- Author
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Emmanuel Heumez, J. Le Gouis, Denis Beghin, P. Pluchard, C. Depatureaux, Maryse Brancourt-Hulmel, Alex Giraud, Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Université de Lille, Sciences et Technologies-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, unité experimentale Le Moulon, UMR 0102 - Unité de Recherche Génétique et Ecophysiologie des Légumineuses, Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), and Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
- Subjects
business.industry ,[SDV]Life Sciences [q-bio] ,Winter wheat ,food and beverages ,Biology ,Heritability ,Biotechnology ,Fungicide ,Animal science ,Efficiency ,Genetic variation ,Cultivar ,business ,Agronomy and Crop Science ,High input ,Selection (genetic algorithm) - Abstract
Market prices and environmental concerns favor low-input wheat (Triticum aestivum L.) production systems. This study assesses the efficiency of low-input vs. high-input selection environments to improve wheat for low-input environments. Three standard cultivars, 11 parents, and 270 lines bred in INRA Mons-Peronne were investigated for 2 yr (1998, 1999) in France at three INRA locations. Four agronomic treatments combining two levels of fungicides with two levels of nitrogen (N) were applied. Because of seed supply, only 10 year × treatment × location combinations were conducted. Broad-sense heritabilities for grain yield (GY) ranged from 0.18 at low N without fungicide to 0.90 at high N without fungicide. Heritability estimates were higher at high N than at low N level. This was due to both an increase in error variance and a decrease in genetic variance at low nitrogen level. Heritabilities in treatments without fungicide were the same or higher than heritabilities measured in the corresponding controlled treatments. Broad-sense heritabilities for grain N content (GNC) were similar between the controlled treatments with fungicide and the corresponding treatments without fungicide. They were lower at low N level and this was due to an increased error variance in both years. Genetic correlations between the 10 experiments were always positive for GY and N content: they ranged from 0.10 to 0.95 for yield and from 0.78 to 0.98 for GNC. The relative efficiency of indirect selection to direct selection for each pair of environments ranged from 0.15 to 0.99 indicating that indirect selection was never more efficient than direct selection. Therefore, breeding programs targeting low-input environments should include low-input selection environments to maximize selection gains.
- Published
- 2005
45. Nitrogen use efficiency in bread wheat: breeding tools and recent genetic progress
- Author
-
Fabien Cormier, sebastien faure, Pierre Dubreuil, Emmanuel Heumez, Katia Beauchêne, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), BIOGEMMA, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), and Association of Applied Biologists. Warwick, GBR.
- Subjects
azote ,évolution génétique ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,blé panifiable ,progrès ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2014
46. Miscanthus genetics and agronomy for bioenergy feedstock
- Author
-
Emeline Rosiau, Charlotte Demay, Stéphanie Arnoult, Maryse Brancourt-Hulmel, Hubert Boizard, Nicolas Beaudoin, Linda Bethencourt, Camille Dauchy, Fabien Ferchaud, Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), Stress Abiotiques et Différenciation des Végétaux Cultivés (SADV), Institut National de la Recherche Agronomique (INRA)-Université de Lille, Sciences et Technologies, Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), and ProdInra, Migration
- Subjects
[SDE] Environmental Sciences ,0106 biological sciences ,020209 energy ,[SDV]Life Sciences [q-bio] ,02 engineering and technology ,Miscanthus ,Biology ,Raw material ,biology.organism_classification ,01 natural sciences ,[SDV] Life Sciences [q-bio] ,Agronomy ,Bioenergy ,[SDE]Environmental Sciences ,0202 electrical engineering, electronic engineering, information engineering ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS ,010606 plant biology & botany - Abstract
International audience
- Published
- 2014
47. Variabilité génétique pour l’absorption d’azote
- Author
-
Jacques Le Gouis, Vincent Allard, L Joseph, Jean-Louis J., Frédéric Henry, François Taulemesse, Heumez, Emmanuel E., Katia Beauchêne, David Gouache, Volker Lein, Pascal Giraudeau, Stephen Sunderwirth, Jean-Michel Delhaye, Franck Lacoudre, Céline Duque, Jeremy Derory, Clément Debiton, Philippe Lerebour, Laure Duchalais, Sylvie Dutriez, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), ARVALIS - Institut du végétal [Paris], Saaten Union Recherche, Secobra Recherches, Partenaires INRAE, Adrien Momont & fils SARL, Ets Lemaire-Deffontaines SA, Groupe Limagrain, UNISIGMA, Rouergue Auvergne Gévaudan Tarnais, and Caussade Semences
- Subjects
absorption azotée ,post floraison ,[SDV]Life Sciences [q-bio] ,variabilité génétique ,plante ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience
48. Complementary approaches towards the discovery of genes controlling yield in pea
- Author
-
Anthony Klein, Komlan Avia, Nadim Tayeh, Jean-François Herbommez, Philippe Declerck, Matthieu Floriot, Eric Hanocq, Hervé Houtin, Céline Rond-Coissieux, Christophe Lecomte, Olivier Bleriot, Jean-Marc Valdrini, Patrice Walczak, Paul Bataillon, Alain Chassin, Pascal Marget, Valérie Dufayet, Juliette Martin, Emilie Vieille, Jonathan Kreplak, Hervé Duborjal, Jean-Philippe Pichon, Magalie Leveugle, Gregoire Aubert, Judith Burstin, EL Mjiyad, Noureddine, Agroécologie [Dijon], Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Santé de la vigne et qualité du vin (SVQV), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA), Adrien Momont & fils SARL, Groupe RAGT (RAGT), Agri Obtentions (AO), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Domaine expérimental de la Motte au Vicomte (RENN RHEU UE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Fourrages Environnement Ruminants Lusignan (FERLUS), Domaine expérimental d'Auzeville (UE AUZEVILLE), UE 1375 Phénotypage Au Champ des Céréales, Institut National de la Recherche Agronomique (INRA)-Santé des plantes et environnement (S.P.E.)-Biologie et Amélioration des Plantes (BAP)-Phénotypage Au Champ des Céréales (PHACC), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), BIOGEMMA, and Gip Geves Dijon
- Subjects
[SDE] Environmental Sciences ,[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[INFO]Computer Science [cs] ,[SDV.BV] Life Sciences [q-bio]/Vegetal Biology - Abstract
International audience; Pea is one of the most important grain legumes in the world. Improving pea yield is a critical breedingtarget in the current context of consumers’ increasing demand for plant proteins for food and feed. Becauseof its polygenic nature and the impact of the environment, breeding for higher yield is challenging. Weinvestigated the genetic determinism of yield (SW), seed number (SN) and thousand seed weight (TSW) usingboth linkage and linkage-disequilibrium approaches.Nine interconnected mapping populations, representing a total of 1,213 recombinant inbred lineswere phenotyped for SW, SN and TSW in six different field environments. These lines were genotyped usingthe GenoPea 13.2K SNP Array [1]. A multi-population quantitative trait loci (QTL) analysis [2] identified 19 QTLfor SW, 18 QTL for SN and 36 QTL for TSW. From this first QTL analysis, a metaQTL analysis [3] detected 27metaQTL and reduced confidence intervals.In addition, two panels of conventional winter pea (376 accessions) and spring pea (300 accessions)were phenotyped for the same traits in seven different field environments. These accessions were genotypedby re-sequencing after exome capture [4]. A Genome Wide Association analysis [5] detected markerssignificantly associated with the 3 traits.The combination of these two genetic approaches highlighted common regions on the pea genomethat represent genomic regions consistently involved in controling yield and its components in pea. Theseresults represent an important step towards marker assisted breeding programs for yield improvement.
49. Complementary approaches towards the discovery of genes controlling yield in pea
- Author
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Avia, Komlan, Herbommez, Jean-François, Declerck, Philippe, Floriot, Matthieu, Hanocq, Eric, Houtin, Hervé, Rond, Céline, Lecomte, Christophe, Bleriot, Olivier, Valdrini, Jean-Marc, Bataillon, Paul, Chassin, Alain, Marget, Pascal, Duborjal, Hervé, Pichon, Jean-Philippe, Leveugle, Magalie, Aubert, Gregoire, Santé de la vigne et qualité du vin (SVQV), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de la Recherche Agronomique (INRA), Agroécologie [Dijon], Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Domaine expérimental de la Motte au Vicomte (RENN RHEU UE)
- Subjects
[SDV]Life Sciences [q-bio] ,[SDE]Environmental Sciences ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,[INFO]Computer Science [cs]
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