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1. A decision support system coupling fuzzy logic and probabilistic graphical approaches for the agri-food industry: prediction of grape berry maturity

Author

Nathalie, Perrot, Cédric, Baudrit, Jean Marie, Brousset, Philippe, Abbal, Hervé, Guillemin, Bruno, Perret, Etienne, Goulet, Laurence, Guerin, Gérard, Barbeau, Daniel, Picque, Génie et Microbiologie des Procédés Alimentaires (GMPA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut de Mécanique et d'Ingénierie de Bordeaux (I2M), École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), Sciences Pour l'Oenologie (SPO), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité de recherches en Technologie et Analyses Laitières (URTAL), AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Unité de VINs, Innovations, Itinéraires, TERroirs et Acteurs, Institut Français de la Vigne et du Vin (IFV), Interloire, Vigne et Vin (UVV), Institut National de la Recherche Agronomique (INRA), INTERLOIRE, Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Fuzzy Logic, Climate Change, lcsh:R, Food Industry, lcsh:Medicine, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Expert Systems, Vitis, lcsh:Q, lcsh:Science, Probability, Research Article
Abstract

Agri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the multiscale dynamics of those systems using computing science. A robust predictive mathematical tool is implemented for this sector and applied to the wine industry being easily able to be generalized to other applications. Grape berry maturation relies on complex and coupled physicochemical and biochemical reactions which are climate dependent. Moreover one experiment represents one year and the climate variability could not be covered exclusively by the experiments. Consequently, harvest mostly relies on expert predictions. A big challenge for the wine industry is nevertheless to be able to anticipate the reactions for sustainability purposes. We propose to implement a decision support system so called FGRAPEDBN able to (1) capitalize the heterogeneous fragmented knowledge available including data and expertise and (2) predict the sugar (resp. the acidity) concentrations with a relevant RMSE of 7 g/l (resp. 0.44 g/l and 0.11 g/kg). FGRAPEDBN is based on a coupling between a probabilistic graphical approach and a fuzzy expert system.

Published
2015
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2. Typicité sensorielle de vins de l'AOC Coteaux du Layon et acceptabilité par les acteurs (professionnels et consommateurs) de vins avec des titres d'alcool volumique plus faibles

Author

Coulon Leroy, Cecile, Symoneaux, Ronan, Chrétien, Philippe, Perrin, Aurélie, Siret, René, Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Institut National de la Recherche Agronomique (INRA)-Ecole supérieure d'Agricultures d'Angers (ESA), Université Bretagne Loire (COMUE) (UBL), Pôle Val de Loire, Institut Français de la Vigne et du Vin (IFV), Interloire, and Ministère chargé de l’agriculture (CASDAR)

Subjects
[SDV]Life Sciences [q-bio], [SHS]Humanities and Social Sciences
Abstract

In order to maintain an optimum sugar / acid balance in a changing context, winegrowers of the Coteaux du Layon PDO, a sweet wine of the middle Loire valley, wish to know if a final alcohol content (TAV) lower than the minimum imposed by the regulation of the PDO (11% vol. today) would affect the typicality of the wines. To answer this question, a study was carried out in 4 steps. 1) To know the expected typicality of these wines, focus groups were conducted with 26 professionals. 2) In order to assess the acceptability of lower TAV wines, based on a sample of 24 wines (commercial wines and experimental wines with TAV between 8% vol. and 10% vol.), 31 professionals scored levels of exemplarity. 3) A trained panel made a fine sensory description. 4) Finally, a selection of 8 wines from these 24 were evaluated by 163 consumers, they scored levels of preference. The results of steps 1) and 2) show a strong consensus among professionals to assess the exemplarity of wines. Experimental wines obtained exemplary scores above the average of the scale and can therefore be considered as good examples. In step 3), the trained panel generated the sensory attributes to describe the wines: 21 descriptors of odors and aromas and 6 of flavors, which reveal the sensory complexity of the wines. In stage 4), in general, the 8 wines evaluated by the consumers were all appreciated. The results suggest that a sufficiently high amount of residual sugar content would enhance the acceptability of lower TAV wines by both professionals and consumers. The winegrowers of the syndicate of Coteaux du Layon PDO thus have factual elements to update the specification of the PDO (decreasing the minimum TAV threshold), in interaction with INAO (the French national institute of origin and quality).

Published
2017
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3. Choosing the most representative technical management routes within diverse management practices: Application to vineyards in the Loire Valley for environmental and quality assessment

Author

Marc Benoit, Stéphane Burgos, Christel Renaud-Gentié, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), Angers Technopole, Partenaires INRAE, Ecole d’Ingénieurs de Changins, Agro-Systèmes Territoires Ressources Mirecourt (ASTER Mirecourt), Interloire and Region Pays de la Loire, France, and Erasmus Mundus program

Subjects
Association rule learning, Computer science, [SDV]Life Sciences [q-bio], media_common.quotation_subject, Soil Science, Sample (statistics), Plant Science, 010501 environmental sciences, cropping system, 01 natural sciences, [SHS]Humanities and Social Sciences, life cycle assessment, association rule, partitioning, Quality (business), Technical management, Life-cycle assessment, 0105 earth and related environmental sciences, media_common, 2. Zero hunger, Multidimensional analysis, business.industry, Ecology, Environmental resource management, 04 agricultural and veterinary sciences, viticulture, 15. Life on land, Agronomy, Agriculture, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, typology, business, Agronomy and Crop Science, Cropping
Abstract

International audience; Diversity of agricultural systems can be described at different scales in terms of three main types of variables: technical management of cropping systems, farming systems and food supply chains. We focus on the diversity of technical management routes (TMRs), defined as logical successions of technical options (TOs) designed by the farmers. The study, comparison and assessment of this great diversity of complex routes are impossible with classical agronomic experiments or exhaustive assessments such as life cycle assessment (LCA). Hence, the selection of representative cases is necessary. Multidimensional data analysis methods permit the characterization of a diversity of TMRs and the construction of typologies but do not allow the consideration of the specific associations of TOs constituting the various TMRs. The aim of this paper is threefold: (i) to propose a new combined method, "Typ-iti", to classify the field TMRs of farmers, to identify key TO associations and to select the most relevant cases for study; (ii) to test this method on vineyard management diversity using a panel of vineyard fields of Loire Valley producers; and (iii) to discuss the capability of the proposed Typ-iti method for use in the characterization and selection of cases of other agricultural systems at diverse scales. The example developed in this paper is the selection of vineyard management cases for grape LCA combined with grape quality evaluation. The cases were selected to represent the regional diversity of management practices. A detailed on-farm survey of management methods was performed on a diverse range of wine production estates in the Middle Loire Valley. The Typ-iti method was constructed and implemented on the survey database. It combines a multidimensional analysis of qualitative survey data and typology and partitioning (clustering) associated with data mining methods (frequent pattern mining search and association rules). The surveyed sample was partitioned into 5 types of management practices, 2 of which were organic and 3 conventional. The partitioning was driven primarily by choices involving pest management and floor management. Each type was characterized by specific TOs, specific associations of TOs and remarkable TMRs. The cases were chosen on the basis of these 3 parameters. The Typ-iti method can be applied to other crops and at different scales; the only limitation is the availability of precise information on the practices used by farmers in their fields. (C) 2014 Elsevier B.V. All rights reserved.

Published
2014
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4. Exploiting vibrational resonance in weak-signal detection

Author

François Chapeau-Blondeau, Fabing Duan, Derek Abbott, Yan Pan, Yuhao Ren, Qingdao University, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), and Interloire

Subjects
Physics, Series (mathematics), Stochastic resonance, Probability density function, Interference (wave propagation), 01 natural sciences, Noise (electronics), 010305 fluids & plasmas, Computational physics, Background noise, Amplitude, 0103 physical sciences, Vibrational resonance, 010306 general physics, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.

Published
2016
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5. Assessing local climate vulnerability and winegrowers’ adaptive processes in the context of climate change

Author

Hervé Quénol, Gérard Barbeau, Etienne Neethling, Théo Petitjean, Vigne et Vin (UVV), Institut National de la Recherche Agronomique (INRA), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), European Union, as part of the LIFE-ADVICLIM project [LIFE13 ENV/FR/001512], FranceAgriMer and InterLoire (Interprofessional body for Loire Valley wines), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Normandie Université (NU)-Normandie Université (NU), and Quénol, Hervé

Subjects
Canopy, [SDE] Environmental Sciences, 010504 meteorology & atmospheric sciences, Process (engineering), [SHS.GEO] Humanities and Social Sciences/Geography, Vulnerability, Climate change, Context (language use), 01 natural sciences, Environmental protection, Adaptation (computer science), ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, 2. Zero hunger, Global and Planetary Change, Ecology, business.industry, Environmental resource management, Oceanic climate, 04 agricultural and veterinary sciences, [SHS.GEO]Humanities and Social Sciences/Geography, 15. Life on land, viticulture, Adaptation . Climate change . Contextual . Loire valley. Perceptions . Viticulture . Vulnerability, Geography, climate change, 13. Climate action, [SDE]Environmental Sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Position (finance), business
Abstract

International audience; Adaptation to climate change is a major challenge facing the viticulture sector. Temporally, adaptation strategies and policies have to address potential impacts in both the short- and long term, whereas spatially, place-based and context-specific adaptations are essential. To help inform decision-making on climate change adaptation, this study adopted a bottom-up approach to assess local climate vulnerability and winegrowers’ adaptive processes in two regulated wine-producing areas in the Anjou-Saumur wine growing sub-region, France. The data used for this study were collected through individual semi-structured interviews with 30 winegrowers. With a focus on wine quality, climate-related exposure,and sensitivity were dependent on many contextual factors (e.g., northern geographical position, wine regulatory frameworks, local environmental features) interacting with the regional oceanic climate. Climate and other non-climate-related variables brought about important changes in winegrowers’ management practices, varying in time and space. This ongoing process in decision-making enhanced winegrowers’ adaptive responses, which were primarily reactive (e.g., harvesting, winemaking) or anticipatory (e.g., canopy and soil management)to short-term climate conditions.Winegrowers described changing trends in climateand grapevine (Vitis) -related variables, with the latter attributed to regional climate changes and evolving management practices. Regarding future climate trends, winegrowers’ displayed great uncertainty, placing the most urgent adaptation priority on short-term strategies, while changing grapevine varieties and using irrigation were identified as last resort strategies. The study concluded by discussing the implications of these findings in the context of climate change adaptation in viticulture.

Published
2016
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6. Varietal Thiols in Wine: Discovery, Analysis and Applications

Author

Alain Razungles, Florine Cavelier, Aurélie Roland, Rémi Schneider, Sciences Pour l'Oenologie (SPO), Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), We thank Jean-Michel Salmon for helpful discussions. Interloire, IFV (Institut Francais de la Vigne et du Vin), and Sicavac are also acknowledged for technical and financial support (CIFRE fellowship). We also thank Nikolaos Parisis for English proofreading of the manuscript., Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), and Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 2. Zero hunger, Wine, sensory role, Stereochemistry, Chemistry, varietal aroma, 010401 analytical chemistry, thiol, sensory contribution, 04 agricultural and veterinary sciences, General Chemistry, biogenesis, 040401 food science, 01 natural sciences, 0104 chemical sciences, sulfur compound, 0404 agricultural biotechnology, formation period, occurence, Humanities
Abstract

Varietal Thiols in Wine: Discovery, Analysis and Applications Aur elie Roland, R emi Schneider,* Alain Razungles, and Florine Cavelier* Interloire, 12 rue Etienne Pallu, BP 1921, 37019 Tours Cedex 01, France UMR 1083 Sciences pour l’!nologie, INRA, SupAgro, Universit e Montpellier I, 34060 Montpellier Cedex 01, France Institut Franc ) ais de la Vigne et du Vin, at UMR 1083 Sciences pour l’!nologie, INRA, 34060 Montpellier Cedex 01, France IBMM, UMR-CNRS 5247, Universit es Montpellier I et II, Place Eug ene Bataillon, 34095 Montpellier, France

Published
2011
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7. Identification and quantification by LC–MS/MS of a new precursor of 3-mercaptohexan-1-ol (3MH) using stable isotope dilution assay: Elements for understanding the 3MH production in wine

Author

Alain Razungles, Rémi Schneider, Aurélie Roland, Christine Le Guernevé, Florine Cavelier, Interloire, Sciences Pour l'Oenologie (SPO), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), and Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
Ethanol fermentation, Isotope dilution, Mass spectrometry, 01 natural sciences, Analytical Chemistry, 0404 agricultural biotechnology, 3-mercaptohexan-1-ol, wine, stable isotope dilution assay, fermentation, thiols, aroma precursor, chemistry.chemical_classification, Wine, Chromatography, [CHIM.ORGA]Chemical Sciences/Organic chemistry, Stable isotope ratio, 010401 analytical chemistry, 04 agricultural and veterinary sciences, General Medicine, Glutathione, 040401 food science, 0104 chemical sciences, chemistry, Yield (chemistry), Thiol, Fermentation, Food Science
Abstract

The isotopically labelled S-3-(hexan-1-ol)-glutathione d 2 /d 3 (G3MHd 2 /d 3 ) was synthesized with a strategy based on acid-labile protecting groups. The natural analogue of this compound could be a precursor of 3-mercaptohexanol, a varietal thiol reminiscent of grape fruit, released during alcoholic fermentation. In a first time, deuterated glutathione conjugate was used to perform identification and quantification by stable isotope dilution assay of G3MH in musts from several varieties: Sauvignon, Riesling and Gewurztraminer. In a second time, synthetic and natural musts (Sauvignon Blanc) were spiked by G3MHd 2 /d 3 at different levels from 12 to 150 μg L −1 to demonstrate the relationship between 3-mercaptohexan-1-ol (3MH) and G3MH. GC–ITMS/MS analysis of the resulting wines clearly showed the formation of the corresponding deuterated 3MH, that proves the direct connection with G3MH under enological conditions. In Sauvignon Blanc grape juice, a conversion yield of 4.4% was found in duplicate for an initial spiking of G3MH d 2 /d 3 equivalent to 12 μg L −1 .

Published
2010
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8. Evolution of S-Cysteinylated and S-Glutathionylated Thiol Precursors during Oxidation of Melon B. and Sauvignon blanc Musts

Author

Alain Razungles, Rémi Schneider, Peggy Rigou, Aurélie Roland, Jérôme Vialaret, Sciences Pour l'Oenologie (SPO), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Interloire, Ecole Polytechnique Fédérale de Lausanne (EPFL), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut Français de la Vigne et du Vin (IFV)

Subjects
Identification, Grape reaction product, Melon, Flavor Precursors, Wine, Food chemistry, 2-S-Glutathionylcaftaric Acid, 01 natural sciences, Caftaric acid, chemistry.chemical_compound, 0404 agricultural biotechnology, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Vitis, aroma precursors, Containing Wine Odorants, Sulfhydryl Compounds, Volatile Thiols, Food science, glutathione, thiols, 3-Mercaptohexan-1-Ol, chemistry.chemical_classification, Grape Juice, Quantitative-Determination, AROMA PRECUSOR, THIOL, Sauvignon blanc, 010401 analytical chemistry, Ripening, 04 agricultural and veterinary sciences, General Chemistry, Glutathione, 040401 food science, Caftaric Acid, 0104 chemical sciences, Oxygen, Cucurbitaceae, chemistry, Biochemistry, Thiol, hexenal, Melon B, General Agricultural and Biological Sciences, Oxidation-Reduction, Cysteine
Abstract

International audience; Thiol precursor content in Melon B. and Sauvignon blanc grape juices obtained under vacuum was determined by quantifying cysteinylated and glutathionylated conjugates of 3-mercaptohexan-1-ol (3MH) and 4-methyl-4-mercaptopentan-2-one (4MMP). This characterization allowed the study of thiol precursor evolution during ripening of Sauvignon blanc grapes in several viticultural situations together with grape reaction product (GRP) and the main substrate of polyphenoloxidase, that is, caftaric acid. Concentration of precursors greatly increased during ripening except for the cysteinylated conjugate of 4MMP. Precursor evolution was also monitored during the oxidation of grape juice. Addition of oxygen to a grape juice set off the enzymatic oxidation of hydroxycinnamic acids but did not negatively affect precursor concentrations. Part of the glutathionylated precursor of the 3MH was produced during prefermentative operations (up to 140% in Sauvignon blanc). Consequently, this precursor naturally occurring in grapes was also formed during prefermentative operations. The proportion of biogenetic and prefermentary formation of the glutathionylated precursor of 3MH was different under industrial conditions depending on the grape variety considered. Addition of glutathione and hexenal in grape juices of Melon B. and Sauvignon induced an increase of the production of 3MH and consequently of its acetate in the resulting wines. Residual glutathione in must has to be preserved to enhance the aromatic potential of grapes

Published
2010
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9. Life cycle assessment of viticultural technical management routes (tmrs) : comparison between an organic and an integrated management route

Author

Rouault, Anthony, BEAUCHET, Sandra, Renaud-Gentié, Christel, Jourjon, Frédérique, Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Ecole supérieure d'Agricultures d'Angers (ESA)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA), CASDAR, InterLoire, Pays de la Loire Region, and French environmental agency ADEME

Subjects
integrated viticulture, life cycle thinking, [SDV]Life Sciences [q-bio], environmental assessment, vineyard management, organic viticulture, [SHS]Humanities and Social Sciences
Abstract

Aims: Using Life Cycle Assessment (LCA), this study aims to compare the environmental impacts of two different viticultural technical management routes (TMRs); integrated and organic) and to identify the operations that contribute the most to the impacts. Methods and results: LCA impact scores were expressed in two functional units : 1 ha of cultivated area and 1 kg of collected grape. We studied all operations from field preparation before planting to the end-of-life of the vine. Inputs and outputs were transformed into potential environmental impacts thanks to SALCA (TM) (V1.02) and USEToxTm (V1.03) methods. Plant protection treatments were a major cause of impact for both TMRs for fuel related impact categories. For both TMRs, the main contributors to natural resource depletion and freshwater ecotoxicity were trellis system installation and background heavy metal emissions, respectively. Conclusion: This study shows that the studied organic TMR has higher impact scores than the integrated TMR for all the chosen impact categories except eutrophication. However, the chosen TMRs are only typical of integrated and organic viticulture in Loire Valley and some emission models (heavy metal, fuel-related emissions, and nitrogen emissions) have to be improved in order to better assess the environmental impacts of viticulture. Soil quality should also be integrated to LCA results in viticulture because this lack may be a disadvantage for organic viticulture. Significance and impact of study: This study is among the first to compare LCA results of an integrated and an organic TMR.

Published
2016

10. Capacity of very noisy channels based on Fisher information

Author

Duan, Fabing, Chapeau-Blondeau, François, Abbott, Derek, Qingdao University, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), and Interloire

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Computer Science::Information Theory
Abstract

International audience; We generalize the asymptotic capacity expression for very noisy communication channels to now include coloured noise. For the practical scenario of a non-optimal receiver, we consider the common case of a correlation receiver. Due to the central limit theorem and the cumulative characteristic of a correlation receiver, we model this channel noise as additive Gaussian noise. Then, the channel capacity proves to be directly related to the Fisher information of the noise distribution and the weak signal energy. The conditions for occurrence of a noise-enhanced capacity effect are discussed, and the capacity difference between this noisy communication channel and other nonlinear channels is clarified.

Published
2016
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11. Approche globale de l'évolution climatique et de ses solutions politiques

Author

Touzard, Jean-Marc, Innovation et Développement dans l'Agriculture et l'Alimentation (UMR Innovation), 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), and InterLoire. Tours, FRA.

Subjects
changement climatique, pratique agronomique, [SDV]Life Sciences [q-bio], vin, adaptation, vigne, innovation, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

National audience

Published
2016

12. Towards an information-theoretic model of the Allison mixture

Author

Gunn, Lachlan, Chapeau-Blondeau, François, Allison, Andrew, Abbott, Derek, University of Adelaide, School of Electrical and Electronic Engineering, University of Manchester [Manchester], Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA), and Interloire

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

Proceedings 7th International Conference on Unsolved Problems on Noise.; International audience; Towards an information-theoretic model of the Allison mixture&nbsp

Published
2015

13. How organic and analytical chemistry contribute to knowledge of the biogenesis of varietal thiols in wine. A review

Author

Roland, Aurélie, Cavelier, Florine, Schneider, Rémi, Interloire, Sciences Pour l'Oenologie (SPO), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut Français de la Vigne et du Vin (IFV), Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut national d’études supérieures agronomiques de Montpellier (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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), and Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)

Subjects
aroma, [CHIM.ORGA]Chemical Sciences/Organic chemistry, analytical chemistry, wine, organic synthesis, thiols
Abstract

International audience; During the past 20 years, interest in the involvement of varietal thiols in the aroma of young wines has grown considerably. Most data in the literature dealing with these thiols in wine has focused on 4-mercapto-4-methylpentan-2-one, 3-mercaptohexyl acetate and 3-mercaptohexan-1-ol and demonstrate the central role of the different branches of chemistry in understanding the biotechnological processes responsible for thiol release. This review describes and discusses the chemical strategies used to synthesize volatile thiols and their precursors as well as their final use in order to: (1) elucidate the structure of the precursors, their role and the mechanism of cleavage; (2) determine the sensory contribution of volatile thiols in wine; and (3) develop accurate quantification methods.

Published
2012
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14. Distribution of varietal thiol precursors in th skin and the pulp of Melon B. and Sauvignon Blanc grapes

Author

Alain Razungles, Florine Cavelier, Frédéric Charrier, Rémi Schneider, Michel Rossignol, Aurélie Roland, Interloire, Sciences Pour l'Oenologie (SPO), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Institut Français de la Vigne et du Vin (IFV), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Unité de Recherche Protéomique (PROTEOMIQUE), Institut National de la Recherche Agronomique (INRA), IFV (Institut Francais de la Vigne et du Vin), Sicavac, Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut Français de la Vigne et du Vin, Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Protéomique, and Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
Melon, Varietal thiols, Pulp, engineering.material, 01 natural sciences, Analytical Chemistry, chemistry.chemical_compound, 0404 agricultural biotechnology, Food science, Skin, chemistry.chemical_classification, [CHIM.ORGA]Chemical Sciences/Organic chemistry, Pulp (paper), 010401 analytical chemistry, Sauvignon blanc, food and beverages, Precursors, Skin contact, 04 agricultural and veterinary sciences, General Medicine, Glutathione, 040401 food science, 0104 chemical sciences, chemistry, Biochemistry, Thiol, engineering, Food Science, Cysteine
Abstract

International audience; In order to examine varietal thiol precursors in both the skin and the pulp of grapes, two grape varieties, Melon B. and Sauvignon Blanc, were considered. We found that cysteinylated and glutathionylated pre- cursors of 3-mercapto-1-hexanol and 4-methyl-4-mercapto-2-pentanone were preferentially in skin. In the Sauvignon Blanc variety, precursors were detected both in the skin and the pulp, while in Melon B., only S-3-(1-hexanol)glutathione was detected in pulp, any other precursors being exclusively found in skin. During an industrial pressing cycle, extraction of thiol precursors was enhanced at the end of the cycle (highest pressures), thus producing more varietal thiols in the resulting wines. Cold prefermen- tation skin contact did not influence the concentration of the measured precursors in Sauvignon Blanc must. Nevertheless, the release of thiol in resulting wines increased significantly between 1 and 7 days of cold prefermentation skin contact. This increase could be due to the formation of other thiol precur- sors, such as S-3-(1-hexanal)glutathione or S-3-(1-hexanal)cysteine, during prefermentative operations.

Published
2011
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15. Les thiols variétaux : précurseurs et devenir en cours de vinification

Author

Roland, Aurélie, Razungles, Alain, Salmon, Jean-Michel, Schneider, Rémi, Sciences Pour l'Oenologie (SPO), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), InterLoire, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), UMT Qualinnov, Institut Français de la Vigne et du Vin (IFV), and Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
thiol variétal, moût, oenologie, [SDV.IDA]Life Sciences [q-bio]/Food engineering, vin, composé qualitatif, vinification, fruit, wine, grapes, raisin
Abstract

Les thiols variétaux : précurseurs et devenir en cours de vinification

Published
2011

16. Validation d'indicateurs de vigueur, précocité et contrainte hydrique couplant les facteurs du milieu et les pratiques des viticulteurs en Val de Loire

Author

Coulon, Cecile, ProdInra, Migration, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), and InterLoire. Tours, FRA.

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences
Abstract

National audience; L'optimisation des itinéraires techniques de production est de plus en plus nécessaire pour adapter la production de vin à l'augmentation des coûts énergétiques, à l'évolution des marchés, aux évolutions réglementaires et au changement climatique. Pour faciliter cette adaptation, des outils d'aide à la décision peuvent être construits. Pour cette action de recherche, des indicateurs permettant de caractériser la vigueur, la précocité et la contrainte hydrique d'une parcelle de vigne à partir des effets conjoints des facteurs du milieu et des pratiques agro-viticoles ont été construits et validés.

Published
2011

17. Validation of a nanoliquid chromatography-tandem mass spectrometry method for the identification and the accurate quantification by isotopic dilution of glutathionylated and cysteinylated precursors of 3-mercaptohexan-1-ol and 4-mercapto-4-methylpentan-2-one in white grape juices

Author

Peggy Rigou, Alain Razungles, Aurélie Roland, Rémi Schneider, Marc Moniatte, Jérôme Vialaret, Sciences Pour l'Oenologie (SPO), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Interloire, Institut Français de la Vigne et du Vin (IFV), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), and Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)

Subjects
Analyte, Calibration curve, Analytical chemistry, Indicator Dilution Techniques, Isotope dilution, Mass spectrometry, Tandem mass spectrometry, 01 natural sciences, Biochemistry, Lc-Ms/Ms, Analytical Chemistry, Separation, Beverages, chemistry.chemical_compound, 0404 agricultural biotechnology, Isotopes, LC–MS/MS, Tandem Mass Spectrometry, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, Nano-Liquid Chromatography, Acid, Vitis, Sulfhydryl Compounds, Volatile Thiols, stable isotope dilution assay, Aroma, thiols, Conjugate, Chromatography, cysteinylated conjugates, 010401 analytical chemistry, Organic Chemistry, Selected reaction monitoring, Wines, 04 agricultural and veterinary sciences, General Medicine, Repeatability, BSTFA, Cv Sauvignon Blanc, grape, 040401 food science, glutathionylated conjugates, 0104 chemical sciences, chemistry, Chromatography, Liquid
Abstract

Correspondance auteur: Roland A. E-mail: roland@supagro.inra.fr Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience; A rapid nanoLc-MS/MS method was developed and validated for the simultaneous determination of glutathionylated and cysteinylated precursors of 3-mercapto-hexan-1-ol (3MH) and 4-methyl-4-mercaptopentan-2-one in grape juice using stable isotope dilution assay (SIDA). The analytes were extracted from must using a cation exchange resin and purified on C18 cartridges. They were chromatographically separated on a reverse phase column and finally analyzed by tandem mass spectrometry in selected reaction monitoring mode (SRM) using deuterated analogues as standards except for glutathionylated Conjugate of 4MMP which was analyzed by external calibration. The method was validated according to the International Conference on Harmonization recommendations by determining linearity, accuracy, precision, recovery, matrix effect, repeatability, intermediate reproducibility, LODs and LOQs. Calibration for each precursor was determined by performing Lack-of-Fit test and the best fitting for 3MH precursors was a quadratic model whereas a linear model was better adapted for 4MMP Precursors. All calibration curves showed (quite satisfactory Correlation coefficients (R-2 > 0.995 for SIDA quantification and R-2 > 0.985 for external calibration). Quantification by SIDA and external calibration allowed a high level of accuracy since the averaged value ranged from 80 to 108%. Quantification of aroma precursors was accurate and reproducible Over five clays since intermediate precision (same analyst, same sample and same apparatus), which was evaluated by the calculation of RSD was inferior to 16%. Limits Of quantification for G3MH and G4MMP were closed to 0.50 and 0.07 nmol/L and as 4.75 and 1.90 nmol/L for Cys3MH and Cys4MMP respectively. This method was applied to the quantification of precursors into several types of grape juices: Melon B., Sauvignon, Riesling and Gewurztraminer

Published
2010
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18. Straightforward Synthesis of Deuterated Precursors to Demonstate the Biogenesis of Aromatic Thiols in Wine

Author

Florine Cavelier, Christine Le Guernevé, Aurélie Roland, Alain Razungles, Rémi Schneider, Interloire, Institut Français de la Vigne et du Vin (IFV), Sciences Pour l'Oenologie (SPO), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), 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)-Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), and Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)

Subjects
0106 biological sciences, precursor, Food chemistry, 01 natural sciences, 010608 biotechnology, Organic chemistry, Vitis, Sulfhydryl Compounds, wine, grapes, chemistry.chemical_classification, Wine, [CHIM.ORGA]Chemical Sciences/Organic chemistry, 010401 analytical chemistry, General Chemistry, Deuterium, Glutathione, 0104 chemical sciences, chemistry, Fruit, Yield (chemistry), Fermentation, Odorants, Thiol, General Agricultural and Biological Sciences, Biogenesis, Conjugate
Abstract

International audience; Straightforward synthesis of labeled S-3-(hexan-1-ol)-glutathione and S-4-(4-methylpentan-2-one)- glutathione has been developed through a conjugate addition optimization study. Sauvignon blanc fermentation experiments with the [2H10] S-4-(4-methylpentan-2-one)-glutathione used as a tracer released the corresponding deuterated thiol, thus proving the direct relationship with the 4-mercapto-4- methylpentan-2-one under enological conditions. The conversion yield of such transformation was estimated to be close to 0.3%, opening an avenue for additional study on varietal thiol biogenesis.

Published
2010
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19. ASSESSMENT OF MATURITY OF LOIRE VALLEY WINE GRAPES BY MID-INFRARED SPECTROSCOPY

Author

Daniel Picque, Joëlle Béguin, Pascale Lieben, Philippe Chrétien, Laurence Guérin, Génie et Microbiologie des Procédés Alimentaires (GMPA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Anjou Unit, Institut Français de la Vigne et du Vin (IFV), Touraine Unit, Loire Wines (INTERLOIRE), French Fruit, Vegetable, Wine and Horticulture Council (VINIFLHOR), and AgroParisTech-Institut National de la Recherche Agronomique (INRA)

Subjects
Growing region, [SDV]Life Sciences [q-bio], Titratable acid, Berry, Horticulture, 01 natural sciences, PARAMETERS, Veraison, lcsh:Agriculture, chemistry.chemical_compound, 0404 agricultural biotechnology, VITIS-VINIFERA, correlations, lcsh:Botany, Partial least squares regression, Botany, Sugar, infrared spectroscopy, NEAR-INFRARED-SPECTROSCOPY, 010401 analytical chemistry, lcsh:S, food and beverages, Ripening, 04 agricultural and veterinary sciences, chemical methods, NIR, 040401 food science, ripening, 0104 chemical sciences, lcsh:QK1-989, chemistry, SPECTROMETRY, Anthocyanin, BERRIES, Food Science
Abstract

Aim: The objective of the present study was to assess the ripening of grapes collected at different stages of maturation between the “véraison” and harvest periods from mid-infrared spectroscopy (MIRS) analysis.Methods and results: Grape berries of Cabernet Franc collected in two locations of the Loire Valley region (Touraine and Anjou), from 28 vine plots and during two vintages (2005 and 2006) were analysed. With principal component analysis (PCA) of spectral data of grape musts, different levels of ripening were described during the three to four weeks before harvest. A separation according to origin (Touraine or Anjou) was also observed and confirmed by the results of partial least squares (PLS) discriminant analysis (88 % of correct classification). Similar evolutions and geographical discriminations were obtained for specific physicochemical parameters. By PLS regression, good predictions of titratable acidity and sugar concentration from berry spectral data were obtained, with root mean square error of prediction (RMSEP) of 0.53 g/L for titratable acidity (expressed in H2SO4) and 8 g/L for sugar concentration. Moreover, when the data from only one of the regions were considered, the predictions of titratable acidity and sugar concentration were improved and those of real acidity (pH) and maturity index were then satisfactory. The RMSEP values for samples from Touraine and Anjou were reduced, respectively, to 0.05 and 0.02 units for pH, 0.4 and 0.12 g/L for titratable acidity (expressed in H2SO4), 6.6 and 3.2 g/L for sugar concentration, and 5 and 2.2 units for maturity index.Conclusion: Spectroscopic and classic chemical analyses of grape berries yielded highly similar results. The evolution of berries from “véraison” to harvest can be characterized according to both time course and region. The samples showed similar PCA results for chemical and IR spectra parameters. PLS regression between chemical and spectral data showed that Fourier transform IR is a good method to predict acidity and sugar concentration throughout ripening. And the results for these parameters, as well as for pH, maturity index and anthocyanin concentration, are improved if the regressions are calculated from sample sets restricted to a single growing region. Consequently, a calibration model is required for each grape geographical origin.Significance and impact of the study: The potential of MIRS was demonstrated for the quantification of the main indicators of maturity during berry ripening. Furthermore, these spectra can be used to estimate grape maturity in particular in reference to a spectral database established over several years of study. The association infrared spectroscopy, chemometric methods and database will help to monitor ripening and to determine the optimum harvest date.

Published
2010

20. Influence of the year and the environmental factors on condensed tannins from Cabernet franc grapes

Author

Champenois, Rejane, Cadot, Yves, Bottois, Nicolas, Barbeau, Gérard, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), Interloire, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], VITIS VINIFERA, CABERNET FRANC, [SDV]Life Sciences [q-bio], TANINS CONDENSES, [SHS] Humanities and Social Sciences, TERROIR, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

International audience

Published
2008

21. Vers une meilleure valorisation des vins : Une méthode pour caractériser les terroirs

Author

Barbeau, Gérard, Bottois, Nicolas, Goulet, Etienne, Morlat, Rene, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), and Interloire

Subjects
méthode, qualité du vin, [SDV]Life Sciences [q-bio], vin, cartographie, terroir viticole, vigne, [SHS]Humanities and Social Sciences
Abstract

National audience; Face à une concurence mondialisée, la viticulture française met en avant l'origine géographique pour se démarquer et imposer la typicité liée au terroir comme critère de qualité de ses vins. Si les Appellations d'Origine Contrôlées, notamment, sont emblématiques de cette politique, la relation entre le terroir et les caractéristiques des vins reste encore à approfondir et à objectiver. L'unité expérimentale Vigne & Vin d'Angers, en étroite collaboration avec la profession viti-vinicole, propose une méthode permettant d'affiner les délimitationsdes terroirs et de préciser les cahiers des charges de la production.

Published
2008

22. Evaluation of the impacts of the climatic change in the various vineyards of France using the crop model STICS-grapevine

Author

Garcia De Cortazar, Inaki, Brisson, Nadine, Payan, Jean-Christophe, Jacquet, Olivier, Claverie, Marion, Salancon, Elian, Fournioux, Jean-Claude, Monamy, Christine, Le Sueur, Damien, Bottois, Nicolas, Barbeau, Gérard, Dumot, Vincent, Gaudillere, Jean-Pierre, Goutouly, Jean-Pascal, Agut, Christian, Rodriguez-Lovelle, Begona, Ramel, Jean-Pierre, Huard, Frederic, Ripoche, Dominique, Launay, Marie, SEGUIN, Bernard, Agroclim (AGROCLIM), Institut National de la Recherche Agronomique (INRA), ITV France, Partenaires INRAE, Chambre d'Agriculture du Vaucluse (CA 84), Université de Bourgogne (UB), BIVB - CITVB, CIVC - Services Techniques Viticulture, Unité expérimentale vigne et vin, Interloire, Station Viticole du BNIC, Oenologie (UMRO), École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB)-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2, Institut Rhodanien, Syndicat Général des Vignerons des Côtes du Rhône, CIRAME, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.IDA]Life Sciences [q-bio]/Food engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, [SHS] Humanities and Social Sciences, [SDV.IDA] Life Sciences [q-bio]/Food engineering, MODELE STICS-VIGNE, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

International audience

Published
2007

23. Application de STICS à un réseau de parcelles de cabernet franc en Val de Loire

Author

Coulon, Cecile, Bottois, Nicolas, Barbeau, Gerard, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), and Interloire

Subjects
val de loire, modèle de culture, [SDV]Life Sciences [q-bio], terroir viticole, vigne, simulation, france, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

National audience

Published
2007

24. Profili convenzionali dei vini e profili liberi realizzati da professionisti a confronto

Author

Perrin, Lucie, Jourjon, Frédérique, Symoneaux, Ronan, Asselin, Christian, Pagès, Jérome, UMT Vinitera, European Space Agency (ESA), UMT Vinitera, Laboratoire GRAPPE, Groupe ESA, Interloire, Institut de Recherche Mathématique de Rennes (IRMAR), 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 Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), European Space Agency ( ESA ), Institut de Recherche Mathématique de Rennes ( IRMAR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -AGROCAMPUS OUEST-École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), Agence Spatiale Européenne = European Space Agency (ESA), Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Institut National de la Recherche Agronomique (INRA)-Ecole supérieure d'Agricultures d'Angers (ESA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-INSTITUT AGRO 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)

Subjects
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Published
2007

25. Comparison of Three Sensory Descriptive Methods for use with the Napping® procedure: Case of Ten Wines From Loire Valley

Author

Perrin, Lucie, Symoneaux, Ronan, Maître, Isabelle, Asselin, Christian, Jourjon, Frédérique, Pagès, Jérome, UMT Vinitera, Laboratoire GRAPPE, Groupe ESA, Interloire, Institut de Recherche Mathématique de Rennes (IRMAR), 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 Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut de Recherche Mathématique de Rennes ( IRMAR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -AGROCAMPUS OUEST-École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Institut National de la Recherche Agronomique (INRA)-Ecole supérieure d'Agricultures d'Angers (ESA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-INSTITUT AGRO 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)

Subjects
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2007

26. Comparaison entre des profils libres de vins réalisés par des professionnels et un profil conventionnel

Author

Perrin, Lucie, Jourjon, Frédérique, Symoneaux, Ronan, Asselin, Christian, Pagès, Jérome, Laboratoire des Sciences du Génie Chimique ( LSGC ), Centre National de la Recherche Scientifique ( CNRS ), UMT Vinitera, European Space Agency ( ESA ), UMT Vinitera, Laboratoire GRAPPE, Groupe ESA, Interloire, Institut de Recherche Mathématique de Rennes ( IRMAR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -AGROCAMPUS OUEST-École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), AGROCAMPUS OUEST, Laboratoire des Sciences du Génie Chimique (LSGC), Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne = European Space Agency (ESA), Groupe de Recherche en Agroalimentaire sur les Produits et les Procédés (GRAPPE), Institut National de la Recherche Agronomique (INRA)-Ecole supérieure d'Agricultures d'Angers (ESA), Institut de Recherche Mathématique de Rennes (IRMAR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-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), European Space Agency (ESA), 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 Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, [ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2007

27. Evaluation of the impacts of the climatic change in the various vineyards of France

Author

Garcia De Cortazar, Inaki, Brisson, Nadine, Jacquet, Olivier, Payan, Jean-Christophe, Claverie, Marion, Salancon, Elian, Fournioux, Jean-Claude, Monamy, Christine, Le Sueur, Damien, Barbeau, Gérard, Bottois, Nicolas, Dumot, Vincent, Gaudillere, Jean-Pierre, Goutouly, Jean-Pascal, Agut, Christian, Rodriguez-Lovelle, Begona, Ramel, Jean-Pierre, Huard, Frederic, Ripoche, Dominique, Launay, Marie, SEGUIN, Bernard, Agroclim (AGROCLIM), Institut National de la Recherche Agronomique (INRA), Chambre d'Agriculture du Vaucluse (CA 84), ITV France, Partenaires INRAE, Université de Bourgogne (UB), BIVB - CITVB, CIVC - Services Techniques Viticulture, Unité expérimentale vigne et vin, Interloire, Station Viticole du BNIC, Oenologie (UMRO), École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB)-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2, Institut Rhodanien, Syndicat Général des Vignerons des Côtes du Rhône, and CIRAME

Subjects
vignoble, changement climatique, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.IDA]Life Sciences [q-bio]/Food engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, europe, vigne, modèle de simulation, MODELE STICS-VIGNE, france, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

International audience

Published
2007

28. Construction de la qualité au vignoble : impact des facteurs environnementaux et des pratiques

Author

Barbeau, Gérard, Goulet, Etienne, ProdInra, Migration, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), and Interloire

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], [SHS] Humanities and Social Sciences, ComputingMilieux_MISCELLANEOUS, FACTEURS ENVIRONNEMENTAUX, [SHS]Humanities and Social Sciences
Abstract

National audience

Published
2007

29. Mise en évidence de l'effet des pratiques dans la caractérisation du lien au terroir

Author

Bottois, Nicolas, Cadot, Yves, Barbeau, Gérard, Unité expérimentale vigne et vin, Institut National de la Recherche Agronomique (INRA), and Interloire

Subjects
vitis vinifera, sol, [SDV]Life Sciences [q-bio], VITICULTURAL MANAGEMENT, VINEYARD TERROIR, terroir viticole, vigne, itinéraire technique, INDICATOR OF STATE OF THE VINEYARD, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

National audience

Published
2006

30. Eléments pour une analyse de la variabilité sensorielle des vins rouges du val de Loire

Author

Deneulin, Pascale, Asselin, Christian, Pagès, Jérome, Interloire, Institut de Recherche Mathématique de Rennes (IRMAR), 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 Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-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), Institut de Recherche Mathématique de Rennes ( IRMAR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -AGROCAMPUS OUEST-École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), and Guillemer, Marie-Annick

Subjects
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, [STAT.TH] Statistics [stat]/Statistics Theory [stat.TH], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], [ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH], [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2006

31. A Decision Support System Coupling Fuzzy Logic and Probabilistic Graphical Approaches for the Agri-Food Industry: Prediction of Grape Berry Maturity.

Author

Perrot N, Baudrit C, Brousset JM, Abbal P, Guillemin H, Perret B, Goulet E, Guerin L, Barbeau G, and Picque D

Subjects
Climate Change, Expert Systems, Food Industry, Fuzzy Logic, Probability, Vitis
Abstract

Agri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the multiscale dynamics of those systems using computing science. A robust predictive mathematical tool is implemented for this sector and applied to the wine industry being easily able to be generalized to other applications. Grape berry maturation relies on complex and coupled physicochemical and biochemical reactions which are climate dependent. Moreover one experiment represents one year and the climate variability could not be covered exclusively by the experiments. Consequently, harvest mostly relies on expert predictions. A big challenge for the wine industry is nevertheless to be able to anticipate the reactions for sustainability purposes. We propose to implement a decision support system so called FGRAPEDBN able to (1) capitalize the heterogeneous fragmented knowledge available including data and expertise and (2) predict the sugar (resp. the acidity) concentrations with a relevant RMSE of 7 g/l (resp. 0.44 g/l and 0.11 g/kg). FGRAPEDBN is based on a coupling between a probabilistic graphical approach and a fuzzy expert system.

Published
2015
Full Text
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32. Straightforward synthesis of deuterated precursors to demonstrate the biogenesis of aromatic thiols in wine.

Author

Roland A, Schneider R, Razungles A, Le Guernevé C, and Cavelier F

Subjects
Deuterium, Fermentation, Fruit chemistry, Glutathione biosynthesis, Odorants analysis, Vitis chemistry, Glutathione analogs & derivatives, Sulfhydryl Compounds metabolism, Wine analysis
Abstract

Straightforward synthesis of labeled S-3-(hexan-1-ol)-glutathione and S-4-(4-methylpentan-2-one)-glutathione has been developed through a conjugate addition optimization study. Sauvignon blanc fermentation experiments with the [(2)H(10)] S-4-(4-methylpentan-2-one)-glutathione used as a tracer released the corresponding deuterated thiol, thus proving the direct relationship with the 4-mercapto-4-methylpentan-2-one under enological conditions. The conversion yield of such transformation was estimated to be close to 0.3%, opening an avenue for additional study on varietal thiol biogenesis.

Published
2010
Full Text
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33. Validation of a nanoliquid chromatography-tandem mass spectrometry method for the identification and the accurate quantification by isotopic dilution of glutathionylated and cysteinylated precursors of 3-mercaptohexan-1-ol and 4-mercapto-4-methylpentan-2-one in white grape juices.

Author

Roland A, Vialaret J, Moniatte M, Rigou P, Razungles A, and Schneider R

Subjects
Indicator Dilution Techniques, Isotopes analysis, Sulfhydryl Compounds, Beverages analysis, Chromatography, Liquid methods, Tandem Mass Spectrometry methods, Vitis chemistry
Abstract

A rapid nanoLC-MS/MS method was developed and validated for the simultaneous determination of glutathionylated and cysteinylated precursors of 3-mercapto-hexan-1-ol (3MH) and 4-methyl-4-mercaptopentan-2-one in grape juice using stable isotope dilution assay (SIDA). The analytes were extracted from must using a cation exchange resin and purified on C18 cartridges. They were chromatographically separated on a reverse phase column and finally analyzed by tandem mass spectrometry in selected reaction monitoring mode (SRM) using deuterated analogues as standards except for glutathionylated conjugate of 4MMP which was analyzed by external calibration. The method was validated according to the International Conference on Harmonization recommendations by determining linearity, accuracy, precision, recovery, matrix effect, repeatability, intermediate reproducibility, LODs and LOQs. Calibration for each precursor was determined by performing Lack-of-Fit test and the best fitting for 3MH precursors was a quadratic model whereas a linear model was better adapted for 4MMP precursors. All calibration curves showed quite satisfactory correlation coefficients (R(2)>0.995 for SIDA quantification and R(2)>0.985 for external calibration). Quantification by SIDA and external calibration allowed a high level of accuracy since the averaged value ranged from 80 to 108%. Quantification of aroma precursors was accurate and reproducible over five days since intermediate precision (same analyst, same sample and same apparatus), which was evaluated by the calculation of RSD was inferior to 16%. Limits of quantification for G3MH and G4MMP were closed to 0.50 and 0.07 nmol/L and as 4.75 and 1.90 nmol/L for Cys3MH and Cys4MMP respectively. This method was applied to the quantification of precursors into several types of grape juices: Melon B., Sauvignon, Riesling and Gewurztraminer., (2010 Elsevier B.V. All rights reserved.)

Published
2010
Full Text
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