Author: "Bidanel, Jean-Pierre" - Searchworks@Jio Institute Digital Library Search Results

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388 results on '"Bidanel, Jean-Pierre"'

1. Influence of genetics and the pre-vaccination blood transcriptome on the variability of antibody levels after vaccination against Mycoplasma hyopneumoniae in pigs

Author: Blanc, Fany, Maroilley, Tatiana, Revilla, Manuel, Lemonnier, Gaëtan, Leplat, Jean-Jacques, Billon, Yvon, Ravon, Laure, Bouchez, Olivier, Bidanel, Jean-Pierre, Bed’Hom, Bertrand, Pinard-van der Laan, Marie-Hélène, Estellé, Jordi, and Rogel-Gaillard, Claire
Published: 2021
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2. L'édition du génome et ses applications à l'élevage : à la croisée des controverses

Author: Delanoue, Elsa, Duclos, Raphaëlle, Sourdioux, Michel, Journaux, Laurent, Dockès, Anne-Charlotte, Bidanel, Jean Pierre, Bidanel, Jean-Pierre, INRAE, and Idele
Subjects: [SDV] Life Sciences [q-bio], [SHS] Humanities and Social Sciences
Abstract: Since 2012, the development of the Crispr-Cas9 system, genome editing (GE) tools have gained a major place in biological research for its simplicity of using. At this moment, the use of this technology is nevertheless not allowed on farm animals, and the application of GE in agriculture is controversial. The objective of this study was to better understand the positions of the actors of the livestock sector with respect to the use of genome editing techniques, that is to say to better understand their arguments and justifications. A qualitative survey by semi-directive interviews was conducted with different actors of the livestock sector. A total of 48 people were interviewed, the respondents belonged to four sectors (ruminants, pigs, poultry and aquaculture). Uncertainties on which the controversy is built are linked to the technology, its impact on the environment and biodiversity, on animals and on its socio-political impact. Our results allowed us to establish a typology of stakeholders in five categories (opponent, sceptical, cautious, enthusiastic, and convinced) and to characterize the main arguments associated with the position of the different stakeholders., En 2012, la découverte du système CRISPR-Cas9, outil d'édition du génome offrant la possibilité d'inactiver, de muter, de substituer ou d'insérer un gène dans un organisme vivant, a fait date au sein de la communauté scientifique par sa simplicité d'utilisation. Pour l'instant, l'emploi de cette technique sur les animaux d'élevage n'est pas autorisé en Europe, mais certaines applications sont possibles dans d'autres pays. Nos travaux visent à analyser la manière dont ces Nouvelles Technologies Génétiques (NTG) et leurs applications potentielles à l'élevage sont perçues, c'est-à-dire à mieux cerner les justifications, arguments et enjeux des différentes parties prenantes. L'enquête a consisté à conduire 48 entretiens semi-directifs avec des acteurs de la filière sélection génétique, du monde agricole, des représentants de la société civile et des pouvoirs publics. Nous nous sommes intéressés à une diversité de filières (ruminants, porcine, avicoles et aquacoles) aux problématiques variées, ainsi qu'à plusieurs applications concrètes de ces technologies possibles en élevage. Les principales incertitudes soulevées par les acteurs recouvrent tout d'abord les impacts des NTG sur l'environnement, la biodiversité et sur les animaux eux-mêmes, mais aussi des aspects sociopolitiques. La typologie des acteurs enquêtés fait apparaître cinq profils d'acteurs selon leur positionnement vis-à-vis des NTG : les « réfractaires », les « sceptiques », les « convaincus », les « enthousiastes » et les « prudents ».
Published: 2022

3. Complex population structure and haplotype patterns in the Western European honey bee from sequencing a large panel of haploid drones

Author: Wragg, David, primary, Eynard, Sonia E., additional, Basso, Benjamin, additional, Canale‐Tabet, Kamila, additional, Labarthe, Emmanuelle, additional, Bouchez, Olivier, additional, Bienefeld, Kaspar, additional, Bieńkowska, Małgorzata, additional, Costa, Cecilia, additional, Gregorc, Aleš, additional, Kryger, Per, additional, Parejo, Melanie, additional, Pinto, M. Alice, additional, Bidanel, Jean‐Pierre, additional, Servin, Bertrand, additional, Le Conte, Yves, additional, and Vignal, Alain, additional
Published: 2022
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4. Les modifications ciblées du génome appliquées aux animaux d’élevage : à la croisée des controverses

Author: DUCLOS, Raphaëlle, primary, DELANOUE, Elsa, additional, DOCKÈS, Anne-Charlotte, additional, JOURNAUX, Laurent, additional, SOURDIOUX, Michel, additional, and BIDANEL, Jean-Pierre, additional
Published: 2022
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5. 54èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Hemonic, Anne, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Institut du Porc (IFIP)
Subjects: [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract: International audience
Published: 2022

6. Genetic trends in the behaviour of sows and piglets in early lactation and their associations with mortality and neonatal growth

Author: Girardie, Oceane, Espinoza, Chloé, Perry, Christophe, Lapouméroulie, Martial, Gogué, Jean, Herhel, Olivier, Bidanel, Jean-Pierre, Canario, Laurianne, Bidanel, Jean-Pierre, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Domaine expérimental Bourges-La Sapinière (BOURGES), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Animale et Biologie Intégrative (GABI), and Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics
Abstract: Changes in animal behaviour in relation to 21 years of genetic improvement were studied. Performances between two groups (G77and G98) of Large White sows obtained by insemination with semen from Large White boars born in 1977 or 1998 werecompared. The objective was to analyse the evolution of the mother-young relationship and to understand it with regard to theevolution of mortality and growth of piglets all left with their biological mother. The two lines did not differ in litter size (11.5 vs 11.3piglets born alive, P = 0.69) or overall mortality during the first week (12.4% vs 13.6%, P = 0.63). Video recordings were analysed tostudy (1) the postural activity of sows from D1 to D4, and (2) the reaction of the sow and piglets to a 20 min separation 24 hoursafter farrowing (D1). Competition of piglets for udder access was assessed by characterizing facial injuries at D1. From D1 to D4,sows progressively resumed activity in both lines. At D1 and D2, G98 sows spent twice as much time lying on the belly as G77 sows,which decreased access to the udder. At D4, however, they were less likely to shorten their lactation than G77 sows. At D2, G77piglets slept more in contact with the udder than G98 piglets (P = 0.10). At D1 and D2, in comparison to G77 piglets, G98 pigletsfought more with each other during lactation, resulting in more facial injuries (P < 0.10) and were more likely to suckle upon theirreturn after separation (P = 0.013). As G98 piglets have higher nutritional requirements, they are more demanding of their motherfor suckling and are more combative at the udder than G77 piglets. This may explain the evolution of the behaviour of sows, whichhide their udder more frequently, and of piglets, which sleep less frequently in contact with their mother., Evolutions génétiques du comportement des truies et de leurs porcelets en début de lactation et leurs associations avec la mortalité et la croissance néonatale.Les modifications du comportement des animaux en lien avec 21 ans d’amélioration génétique ont été étudiées. Les performancesde deux groupes de truies Large White (G77 et G98) obtenus par insémination avec de la semence de verrats LargeWhite nés en 1977 ou 1998 ont été comparées. L’objectif était d’analyser l’évolution de la relation mère-jeune et de la comprendreau regard des évolutions de la mortalité et de la croissance des porcelets, en les laissant tous sous leur mère biologique. Les deuxlignées ne différaient pas en taille de portée (11,5 vs 11,3 nés vivants, P = 0,69) et en mortalité globale sur la 1ère semaine (12,4 vs13,6%, P = 0.63). Des enregistrements vidéo ont permis d’analyser 1/ l’activité posturale des truies de J1 à J4, 2/ la réaction de latruie et des porcelets à une séparation provoquée de 20 min 24h post-mise bas (J1). La compétition des porcelets pour l’accès à lamamelle a été évaluée par la caractérisation des blessures faciales à J1. De J1 à J4, une reprise progressive d’activité des truies étaitconstatée dans les deux lignées. A J1 et J2, les truies G98 passaient deux fois plus de temps couchées sur le ventre que les G77, cequi limite l’accès à la mamelle. Mais à J4, elles écourtaient moins leurs allaitements que les G77. A J2, les porcelets G77 dormaientplus au contact de la mamelle que les G98 (P = 0,10). A J1 et J2, comparativement aux G77, les porcelets G98 avaient plus de blessuresfaciales (P < 0,10) et ils allaient plus fréquemment téter au retour de la séparation (P = 0,013). Les porcelets G98 ont des besoinsnutritionnels supérieurs, donc ils sollicitent davantage leur mère et sont plus combatifs à la mamelle que les G77. Ceci peut expliquerl’évolution du comportement des truies, qui cachent plus leur mamelle, et des porcelets qui dorment moins au contact de leur mère.
Published: 2021

7. Detection of quantitative trait loci for reproduction and production traits in Large White and French Landrace pig populations (Open Access publication)

Author: Bidanel Jean-Pierre, Mercat Marie-José, Ronan Gueblez, Juliette Riquet, Gilbert Hélène, Druet Tom, Iannuccelli Nathalie, Tribout Thierry, Milan Denis, and Le Roy Pascale
Subjects: quantitative trait locus, pig, commercial population, production trait, reproduction trait, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract A genome-wide scan was performed in Large White and French Landrace pig populations in order to identify QTL affecting reproduction and production traits. The experiment was based on a granddaughter design, including five Large White and three French Landrace half-sib families identified in the French porcine national database. A total of 239 animals (166 sons and 73 daughters of the eight male founders) distributed in eight families were genotyped for 144 microsatellite markers. The design included 51 262 animals recorded for production traits, and 53 205 litter size records were considered. Three production and three reproduction traits were analysed: average backfat thickness (US_M) and live weight (LWGT) at the end of the on-farm test, age of candidates adjusted at 100 kg live weight, total number of piglets born per litter, and numbers of stillborn (STILLp) and born alive (LIVp) piglets per litter. Ten QTL with medium to large effects were detected at a chromosome-wide significance level of 5% affecting traits US_M (on SSC2, SSC3 and SSC17), LWGT (on SSC4), STILLp (on SSC6, SSC11 and SSC14) and LIVp (on SSC7, SSC16 and SSC18). The number of heterozygous male founders varied from 1 to 3 depending on the QTL.
Published: 2008
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8. Complex population structure and haplotype patterns in Western Europe honey bee from sequencing a large panel of haploid drones

Author: Wragg, David, primary, Eynard, Sonia E., additional, Basso, Benjamin, additional, Canale-Tabet, Kamila, additional, Labarthe, Emmanuelle, additional, Bouchez, Olivier, additional, Bienefeld, Kaspar, additional, Bieńkowska, Małgorzata, additional, Costa, Cecilia, additional, Gregorc, Aleš, additional, Kryger, Per, additional, Parejo, Melanie, additional, Pinto, M. Alice, additional, Bidanel, Jean-Pierre, additional, Servin, Bertrand, additional, Le Conte, Yves, additional, and Vignal, Alain, additional
Published: 2021
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9. Likelihood and Bayesian analyses reveal major genes affecting body composition, carcass, meat quality and the number of false teats in a Chinese European pig line

Author: Le Roy Pascale, Burlot Thierry, Naveau Jean, Zhang Siqing, Bidanel Jean-Pierre, and Marie-Pierre Sanchez
Subjects: segregation analysis, likelihood, Bayesian, major gene, pig, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract Segregation analyses were performed using both maximum likelihood – via a Quasi Newton algorithm – (ML-QN) and Bayesian – via Gibbs sampling – (Bayesian-GS) approaches in the Chinese European Tiameslan pig line. Major genes were searched for average ultrasonic backfat thickness (ABT), carcass fat (X2 and X4) and lean (X5) depths, days from 20 to 100 kg (D20100), Napole technological yield (NTY), number of false (FTN) and good (GTN) teats, as well as total teat number (TTN). The discrete nature of FTN was additionally considered using a threshold model under ML methodology. The results obtained with both methods consistently suggested the presence of major genes affecting ABT, X2, NTY, GTN and FTN. Major genes were also suggested for X4 and X5 using ML-QN, but not the Bayesian-GS, approach. The major gene affecting FTN was confirmed using the threshold model. Genetic correlations as well as gene effect and genotype frequency estimates suggested the presence of four different major genes. The first gene would affect fatness traits (ABT, X2 and X4), the second one a leanness trait (X5), the third one NTY and the last one GTN and FTN. Genotype frequencies of breeding animals and their evolution over time were consistent with the selection performed in the Tiameslan line.
Published: 2003
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10. Detection of quantitative trait loci for carcass composition traits in pigs

Author: Renard Christine, Le Roy Pascale, Gruand Joseph, Amigues Yves, Riquet Juliette, Iannuccelli Nathalie, Bidanel Jean-Pierre, Milan Denis, and Chevalet Claude
Subjects: pig, gene mapping, quantitative trait locus, carcass composition, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract A quantitative trait locus (QTL) analysis of carcass composition data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. A total of 488 F2 males issued from six F1 boars and 23 F1 sows, the progeny of six LW boars and six MS sows, were slaughtered at approximately 80 kg live weight and were submitted to a standardised cutting of the carcass. Fifteen traits, i.e. dressing percentage, loin, ham, shoulder, belly, backfat, leaf fat, feet and head weights, two backfat thickness and one muscle depth measurements, ham + loin and back + leaf fat percentages and estimated carcass lean content were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half/full sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Additional analyses were performed to search for multiple linked QTL and imprinting effects. Significant gene effects were evidenced for both leanness and fatness traits in the telomeric regions of SSC 1q and SSC 2p, on SSC 4, SSC 7 and SSC X. Additional significant QTL were identified for ham weight on SSC 5, for head weight on SSC 1 and SSC 7, for feet weight on SSC 7 and for dressing percentage on SSC X. LW alleles were associated with a higher lean content and a lower fat content of the carcass, except for the fatness trait on SSC 7. Suggestive evidence of linked QTL on SSC 7 and of imprinting effects on SSC 6, SSC 7, SSC 9 and SSC 17 were also obtained.
Published: 2002
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11. A further look at quantitative trait loci affecting growth and fatness in a cross between Meishan and Large White pig populations

Author: Bidanel Jean-Pierre, Milan Denis, and Quintanilla Raquel
Subjects: pig, growth, sex-QTL interaction, imprinting, linked QTLs, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract A detailed quantitative trait locus (QTL) analysis of growth and fatness data from a three generation experimental cross between Large White (LW) and Meishan (MS) pig breeds was carried out to search for sex × QTL interactions, imprinting effects and multiple linked QTLs. A total of 530 F2 males and 573 F2 females issued from 6 F1 boars and 23 F1 sows were typed for a total of 137 markers covering the entire porcine genome. Nine growth traits and three backfat thickness measurements were analysed. All analyses were performed using line cross regression procedures. A QTL with sex-specific expression was revealed in the proximal region of chromosome 8, although some confusion between herd and sex effects could not be discarded. This previously undetected QTL affected male growth during the fattening period, with a favourable additive effect of the LW allele. The analyses also revealed the presence of two linked QTLs segregating on chromosome 1, affecting growth traits during the post-weaning period. The first QTL, previously detected using a single QTL model, was located at the end of the q arm of chromosome 1 and had a favourable MS allele. The second QTL had a favourable LW allele and was located in the proximal extremity of the q arm of chromosome 1. Suggestive genomic imprinting was found in the distal region of chromosome 9 affecting growth during the fattening period.
Published: 2002
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12. Selection for litter size in pigs. II. Efficiency of closed and open selection lines

Author: Ollivier Louis, Bidanel Jean-Pierre, and Bolet Gérard
Subjects: pigs, selection, litter size, open line, immigration, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract A selection experiment on litter size in the pig was carried on for seventeen generations in an Inra experimental herd. The founder population was made up of 10 males and 120 females from the Large White breed. Selection was first performed for ten generations in a closed line, compared to a control line derived from the same founder population. Selection was carried on within sire family on the total number of piglets born in the first two litters of the dam (TB1 + TB2). After ten generations, the selection criterion became dam TB1 only. The control line was then discontinued and a panel of frozen semen from the 11th generation boars was created for later comparisons. The selected line was opened to gilt daughters of hyperprolific boars and sows, at a rate of 1/8 per generation, and the same selection procedure was applied irrespective of the origin of the gilt. During the whole experiment, the number of ova shed (OS) and the number of live embryos (LE) at 30 days in the 3rd pregnancy were recorded. These two parts of the experiment were analysed using REML estimation of genetic parameters and a BLUP-Animal Model in order to estimate the responses to selection. Significant heritabilities for TB1, TB2, OS and LE were obtained, i.e. 0.10, 0.05, 0.43 and 0.19, respectively. Significant common environment variances and covariances were estimated for nearly all traits. Significantly positive BLUP responses per generation were observed from G0 to G17 for TB1 (+0.086), TB2 (+0.078), OS (+0.197) and LE (+0.157). However, the responses were 3- to 4-fold higher in the G12–G17 interval compared to G0–G11, and they were also in fair agreement with previous estimates based on standard least-squares procedures, using the control line and the control frozen semen panel. Since G11, the selection intensity was increased by nearly 80 p. cent compared to the previous generations, and the proportion of hyperprolific ancestry increased up to 65 p. cent in the sows of the last generation. The total genetic gain of about 1.4 piglets at birth per litter could be shared between a gain due to immigration, of about 0.8 piglets per litter, and a within-line selection gain of about 0.6 piglets. Thus by combining selection and immigration in the second part of the experiment, advantage could be taken from both the genetic superiority of the immigrants and the higher internal selection intensity made possible by immigration.
Published: 2001
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13. Detection of quantitative trait loci for growth and fatness in pigs

Author: Gellin Joël, Renard Christine, Quintanilla Raquel, Lagant Hervé, Le Roy Pascale, Gruand Joseph, Caritez Jean-Claude, Boscher Marie-Yvonne, Bourgeois Florence, Amigues Yves, Iannuccelli Nathalie, Milan Denis, Bidanel Jean-Pierre, Ollivier Louis, and Chevalet Claude
Subjects: pig, gene mapping, quantitative trait locus, growth, fatness, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.
Published: 2001
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14. 53èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Salaün, Yvon, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut du Porc (IFIP), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), 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)
Subjects: [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract: International audience
Published: 2021

15. Genetic trends in the behaviour of sows and piglets in early lactation

Author: Girardie, Oceane, Espinoza, Chloé, Perry, Christophe, Lapouméroulie, Martial, Gogué, Jean, Herhel, Olivier, Bidanel, Jean Pierre, Canario, Laurianne, Canario, Laurianne, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, [SDV.BA.MVSA] Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.SA.SPA] Life Sciences [q-bio]/Agricultural sciences/Animal production studies, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2021

16. Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. II. Genetic trends

Author: Legault Christian, Burlot Thierry, Bidanel Jean-Pierre, Zhang Siqing, and Naveau Jean
Subjects: pigs, genetic trend, performance trait, reproductive trait, Chinese breed, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract The Tiameslan line was created between 1983 and 1985 by mating Meishan × Jiaxing crossbred Chinese boars with sows from the Laconie composite male line. The Tiameslan line has been selected since then on an index combining average backfat thickness (ABT) and days from 20 to 100 kg (DT). Direct and correlated responses to 11 years of selection were estimated using BLUP methodology applied to a multiple trait animal model. A total of 11 traits were considered, i.e.: ABT, DT, body weight at 4 (W4w), 8 (W8w) and 22 (W22w) weeks of age, teat number (TEAT), number of good teats (GTEAT), total number of piglets born (TNB), born alive (NBA) and weaned (NW) per litter, and birth to weaning survival rate (SURV). Performance data from a total of 4 881 males and 4 799 females from 1 341 litters were analysed. The models included both direct and maternal effects for ABT, W4w and W8w. Male and female performances were considered as different traits for W22w, DT and ABT. Genetic parameters estimated in another paper (Zhang et al., Genet. Sel. Evol. 32 (2000) 41-56) were used to perform the analyses. Favourable phenotypic (ΔP) and direct genetic trends (ΔGd) were obtained for post-weaning growth traits and ABT. Trends for maternal effects were limited. Phenotypic and genetic trends were larger in females than in males for ABT (e.g. ΔGd = -0.48 vs. -0.38 mm/year), were larger in males for W22w (ΔGd = 0.90 vs. 0.58 kg/year) and were similar in both sexes for DT (ΔGd = -0.54 vs. -0.55 day/year). Phenotypic and genetic trends were slightly favourable for W4w, W8w, TEAT and GTEAT and close to zero for reproductive traits.
Published: 2000
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17. Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. I. Genetic parameters

Author: Legault Christian, Burlot Thierry, Bidanel Jean-Pierre, Zhang Siqing, and Naveau Jean
Subjects: pigs, genetic parameters, performance trait, reproductive trait, Chinese breed, Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract Genetic parameters of body weight at 4 (W4 w), 8 (W8 w) and 22 (W22 w) weeks of age, days from 20 to 100 kg (DT), average backfat thickness at 100 kg (ABT), teat number (TEAT), number of good teats (GTEAT), total number of piglets born (TNB), born alive (NBA) and weaned (NW) per litter, and birth to weaning survival rate (SURV) were estimated in the Chinese × European Tiameslan composite line using restricted maximum likelihood methodology applied to a multiple trait animal model. Performance data from a total of 4 881 males and 4 799 females from 1 341 litters were analysed. Different models were fitted to the data in order to estimate the importance of maternal effects on production traits, as well as genetic correlations between male and female performance. The results showed the existence of significant maternal effects on W4w, W8w and ABT and of variance heterogeneity between sexes for W22w, DT, ABT and GTEAT. Genetic correlations between sexes were 0.79, 0.71 and 0.82, respectively, for W22w, DT and ABT and above 0.90 for the other traits. Heritability estimates were larger than (ABT and TEAT) or similar to (other traits) average literature values. Some genetic antagonism was evidenced between production traits, particularly W4w, W8w and ABT, and reproductive traits.
Published: 2000
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18. Réflexion prospective interdisciplinaire Science pour les élevages de demain. Rapport de synthèse

Author: Peyraud, Jean-Louis, Aubin, Joël, Barbier, Marc, Baumont, René, Berri, Cécile, Bidanel, Jean-Pierre, Citti, Christine, Cotinot, Corinne, Ducrot, Christian, Dupraz, Pierre, Faverdin, Philippe, Friggens, Nicolas, Houot, Sabine, Nozières-Petit, Marie-odile, Rogel-Gaillard, Claire, Santé-Lhoutellier, Véronique, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), 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), Sol Agro et hydrosystème Spatialisation (SAS), Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés (LISIS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Gustave Eiffel, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biologie des Oiseaux et Aviculture (BOA), Université de Tours (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Structures et Marché Agricoles, Ressources et Territoires (SMART-LERECO), Modélisation Systémique Appliquée aux Ruminants (MoSAR), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Qualité des Produits Animaux (QuaPA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), INRAE, Université de Tours-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Paris-Saclay
Subjects: [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Abstract: The ambition of the Foresight was to rethink the place, the roles of livestock and how it should be transformed to fully contribute to the development of more sustainable agri-food systems. It is also to identify cross-disciplinary research themes that explore promising fronts of science or methodologies to solve knowledge locks. The foresight was managed by a group of 15 researchers and mobilized a hundred researchers. Based on an analysis of the context and the drivers for the evolution of the systems, we propose a new conceptual framework to think about innovations. Livestock farming must be part of circular agri-food systems in which it must contribute, beyond an increased efficiency of production factors, to the preservation of the quality of the resources and to the production of a food at an affordable price. Systems need to be rethought to be climate-smart and to respond to the health and welfare challenges of animals and people, rethink the linkages between livestock, crop production and territories to maximize recycling and rethink livestock linkages, processing and consumption of these livestock products. Innovations should be based on the principles of agro-ecology supplemented by those of the circular economy and mobilizing levers of (bio) technologies and organizational innovation. The text describes 4 major scientific priorities with their research issues and produces recommendations for an action plan; L’ambition de l’Atelier de Réflexion Prospective sur l’élevage a été de repenser la place, les rôles de l’élevage et en quoi il doit se transformer pour contribuer pleinement au développement de systèmes agri-alimentaires plus durables ainsi que d’identifier des thématiques de recherches interdisciplinaires permettant d’explorer des fronts de science ou méthodologiques porteurs d’avenir pour lever les verrous de connaissances. La réflexion a été animée par un groupe de 15 chercheurs et a mobilisé une centaine de chercheurs. A partir d’une analyse du contexte et des drivers d’évolution des systèmes nous proposons un nouveau cadre conceptuel et des voies de progrès pour penser l’élevage de demain. L’élevage doit s’inscrire dans le cadre de systèmes agri-alimentaires circulaires dans lesquels il doit contribuer, au-delà d’une efficience accrue des moyens de production, à la préservation de la qualité des ressources et à la production d’une alimentation à un prix abordable. Il faut repenser les systèmes pour qu’ils soient climato-intelligents et répondent aux enjeux de santé et du bien-être des animaux et des hommes ; repenser les liens entre élevage, production végétale et territoire pour maximiser les recyclages et repenser les liens entre élevage, transformation et consommation de ces produits de l’élevage. Les innovations doivent être basées sur les principes de l’agro-écologie complétés par ceux de l’économie circulaire et par la mobilisation des leviers des (bio)technologies et de l’innovation organisationnelle. Le texte décrit quatre grandes priorités scientifiques avec leurs enjeux de recherche et produit des recommandations pour un plan d’action.
Published: 2020

19. 52èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Salaün, Yvon, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), 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), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Institut du Porc (IFIP)
Subjects: [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2020

20. Autosomal and Mitochondrial Adaptation Following Admixture: A Case Study on the Honeybees of Reunion Island

Author: Wragg, David, Técher, Maéva Angélique, Canale-Tabet, Kamila, Basso, Benjamin, Bidanel, Jean Pierre, Labarthe, Emmanuelle, Bouchez, Olivier, Le Conte, Yves, Clémencet, Johanna, Delatte, Hélène, Vignal, Alain, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], Université Fédérale Toulouse Midi-Pyrénées, Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Université de La Réunion (UR), Ecology and Evolution Unit, Okinawa Institute of Science and Technology (OIST), Roslin Institute, University of Edinburgh, UMT Prade, Institut Technique et Scientifique de l'Apiculture et de la Pollinisation (ITSAP-Institut de l'Abeille), Association de Coordination Technique Agricole (ACTA), Association pour le Développement de l'Apiculture Provençale (ADAPI), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, GeT PlaGe, Genotoul, Institut National de la Recherche Agronomique (INRA), Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Okinawa Institute of Science and Technology Graduate University (OIST), UR 406 Abeilles & Environnement, France AgriMer, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT), Université de Toulouse (UT), The Roslin Institute, Biotechnology and Biological Sciences Research Council (BBSRC), UMT Protection des abeilles dans l’environnement (UMT PrADE), Association pour le Developpement de l'Apiculture Provencale (ADAPI)-Institut de l'abeille (ITSAP)-Centre National de la Recherche Scientifique (CNRS)-Terres Inovia-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Les instituts techniques agricoles (Acta), Association pour le Developpement de l'Apiculture Provencale (ADAPI), Génome et Transcriptome - Plateforme Génomique (GeT-PlaGe), Institut National de la Recherche Agronomique (INRA)-Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), GenPhySE - UMR 1388 ( Génétique Physiologie et Systèmes d'Elevage ), Institut National de la Recherche Agronomique ( INRA ) -École nationale supérieure agronomique de Toulouse [ENSAT]-ENVT, Institut National Polytechnique de Toulouse ( INPT ), Université de Toulouse, UMR PVBMT, Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ), Université de la Réunion ( UR ), Institut Technique et Scientifique de l'Apiculture et de la Pollinisation ( ITSAP-Institut de l'Abeille ), Association de Coordination Technique Agricole, Association pour le Développement de l'Apiculture Provençale ( ADAPI ), Génétique Animale et Biologie Intégrative ( GABI ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, Université Paris Saclay, Institut National de la Recherche Agronomique ( INRA ), Abeilles et Environnement ( AE ), Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV ), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
Subjects: Male, Acclimatization, [SDV]Life Sciences [q-bio], Genome, Insect, Évolution, adaptation, Apis mellifera mellifera, Génétique des populations, Apis mellifera scutellata, Marqueur génétique, insects, Introduction d'animaux, Genomics, Bees, Mitochondrie, Adaptation, Physiological, Mitochondria, [SDE]Environmental Sciences, Female, Apis mellifera, Apis mellifera ligustica, Research Article, Zone tropicale, Apis mellifera carnica, Séquence nucléotidique, DNA, Mitochondrial, Molecular Evolution, genomics/proteomics, Genetics, Animals, [INFO]Computer Science [cs], Adaptation, insect, molecular evolution, [SDV.GEN]Life Sciences [q-bio]/Genetics, Génome, [ SDV ] Life Sciences [q-bio], L60 - Taxonomie et géographie animales, L10 - Génétique et amélioration des animaux, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Genome, Mitochondrial, Reunion
Abstract: The honeybee population of the tropical Reunion Island is a genetic admixture of the Apis mellifera unicolor subspecies, originally described in Madagascar, and of European subspecies, mainly A. m. carnica and A. m. ligustica , regularly imported to the island since the late 19th century. We took advantage of this population to study genetic admixing of the tropical-adapted indigenous and temperate-adapted European genetic backgrounds. Whole genome sequencing of 30 workers and 6 males from Reunion, compared with samples from Europe, Madagascar, Mauritius, Rodrigues, and the Seychelles, revealed the Reunion honeybee population to be composed on an average of 53.2 6 5.9% A. m. unicolor nuclear genomic background, the rest being mainly composed of A. m. carnica andtoalesserextent A. m. ligustica . In striking contrast to this, only 1 out of the 36 honeybees from Reunion had a mitochondrial genome of European origin, suggesting selection has favored the A. m. unicolor mitotype, which is possibly better adapted to the island’s bioclimate. Local ancestry was determined along the chromosomes for all Reunion samples, and a test for preferential selection for the A. m. unicolor or European background revealed 15 regions significantly associated with the A. m. unicolor lineage and 9 regions with the European lineage. Our results provide insights into the long- term consequences of introducing exotic specimen on the nuclear and mitochondrial genomes of locally adapted populations
Published: 2017

21. Cinquante années d’amélioration génétique du porc en France : bilan et perspectives

Author: BIDANEL, Jean-Pierre, primary, SILALAHI, Parsaoran, additional, TRIBOUT, Thierry, additional, CANARIO, Laurianne, additional, DUCOS, Alain, additional, GARREAU, Hervé, additional, GILBERT, Hélène, additional, LARZUL, Catherine, additional, MILAN, Denis, additional, RIQUET, Juliette, additional, SCHWOB, Sandrine, additional, MERCAT, Marie-José, additional, HASSENFRATZ, Claire, additional, BOUQUET, Alain, additional, BAZIN, Christophe, additional, and BIDANEL, Joel, additional
Published: 2020
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22. Quelle science pour les élevages de demain ? Une réflexion prospective conduite à l’INRA

Author: PEYRAUD, Jean-Louis, primary, AUBIN, Joël, additional, BARBIER, Marc, additional, BAUMONT, René, additional, BERRI, Cécile, additional, BIDANEL, Jean-Pierre, additional, CITTI, Christine, additional, COTINOT, Corinne, additional, DUCROT, Christian, additional, DUPRAZ, Pierre, additional, FAVERDIN, Philippe, additional, FRIGGENS, Nicolas, additional, HOUOT, Sabine, additional, NOZIÈRES-PETIT, Marie-Odile, additional, ROGEL-GAILLARD, Claire, additional, and SANTÉ-LHOUTELLIER, Véronique, additional
Published: 2019
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23. Quelle science pour les élevages de demain ? Une réflexion prospective conduite à l’INRA

Author: Peyraud, Jean-Louis, Aubin, Joël, Barbier, Marc, Baumont, René, Berri, Cécile, Bidanel, Jean Pierre, Citti, Christine, Cotinot, Corinne, Ducrot, Christian, Dupraz, Pierre, Faverdin, Philippe, Friggens, Nicolas, Houot, Sabine, Nozières-Petit, Marie-Odile, Rogel-Gaillard, Claire, Sante-Lhoutellier, Veronique, Institut National de la Recherche Agronomique (INRA), Direction Scientifique Agriculture, Sol Agro et hydrosystème Spatialisation (SAS), 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 la Recherche Agronomique (INRA), Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés (LISIS), Institut National de la Recherche Agronomique (INRA)-Université Paris-Est Marne-la-Vallée (UPEM)-ESIEE Paris-Centre National de la Recherche Scientifique (CNRS), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Biologie des Oiseaux et Aviculture (BOA), Institut National de la Recherche Agronomique (INRA)-Université de Tours, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Biologie du Développement et Reproduction (BDR), École nationale vétérinaire d'Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA), Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Structures et Marché Agricoles, Ressources et Territoires (SMART-LERECO), Institut National de la Recherche Agronomique (INRA)-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), Laboratoire d'Études et de Recherches en Economie (LERECO CEDRAN), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Modélisation Systémique Appliquée aux Ruminants (MoSAR), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), 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), and Qualité des Produits Animaux (QuaPA)
Subjects: [SDV]Life Sciences [q-bio]
Abstract: The ambition of the foresight on livestock farming was to rethink the place, the roles of livestock and how it should be transformed to fully contribute to the development of more sustainable agri-food systems. It was also to identify cross-disciplinary research themes that explore promising fronts of science or methodologies to solve knowledge locks. The foresight was managed by a group of 15 researchers and mobilized a hundred researchers. Based on an analysis of the context and the drivers for the evolution of the systems, we propose a new conceptual framework to think about innovations. Livestock farming must be part of circular agri-food systems in which it must contribute, beyond an increased efficiency of production factors, to the preservation of the quality of the resources and to the production of a food at an affordable price. Systems need to be rethought to be climate-smart and to respond to the health and welfare challenges of animals and people, rethink the linkages between livestock, crop production and territories to maximize recycling and rethink livestock linkages, processing and consumption of livestock products. Innovations should be based on the principles of agro-ecology supplemented by those of the circular economy and mobilizing levers of (bio) technologies and organizational innovation. The text describes 4 major scientific priorities with their research issues and produces recommendations for an action plan.; L’ambition de l’Atelier de Réflexion Prospective sur l’élevage a été de repenser la place, les rôles de l’élevage et en quoi il doit se transformer pour contribuer pleinement au développement de systèmes agri-alimentaires plus durables ainsi que d’identifier des thématiques de recherches interdisciplinaires permettant d’explorer des fronts de science ou méthodologiques porteurs d’avenir pour lever les verrous de connaissances. La réflexion a été animée par un groupe de 15 chercheurs et en a mobilisé une centaine. À partir d’une analyse du contexte et des drivers d’évolution des systèmes nous proposons un nouveau cadre conceptuel et des voies de progrès pour penser l’élevage de demain. L’élevage doit s’inscrire dans le cadre de systèmes agri-alimentaires circulaires dans lesquels il doit contribuer, au-delà d’une efficience accrue des moyens de production, à la préservation de la qualité des ressources et à la production d’une alimentation à un prix abordable. Il faut repenser les systèmes pour qu’ils soient climato-intelligents et répondent aux enjeux de santé et du bien-être des animaux et des Hommes ; repenser les liens entre élevage, production végétale et territoire pour maximiser les recyclages et repenser les liens entre élevage, transformation et consommation des produits de l’élevage. Les innovations doivent être basées sur les principes de l’agroécologie complétés par ceux de l’économie circulaire et par la mobilisation des leviers des (bio)technologies et de l’innovation organisationnelle. Le texte décrit quatre grandes priorités scientifiques avec leurs enjeux de recherche et produit des recommandations pour un plan d’action.
Published: 2019

24. 51èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Salaün, Yvon, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-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), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and Institut du Porc (IFIP)
Subjects: [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2019

25. Linked and pleiotropic QTLs influencing carcass composition traits detected on porcine chromosome 7

Author: GILBERT, HÉ LÈNE, ROY, PASCALE LE, MILAN, DENIS, and BIDANEL, JEAN-PIERRE
Published: 2007

26. Corticosteroid Binding Globulin: A New Target for Cortisol-Driven Obesity

Author: Ousova, Olga, Guyonnet-Duperat, Véronique, Iannuccelli, Nathalie, Bidanel, Jean-Pierre, Milan, Denis, Genêt, Carine, Llamas, Bastien, Yerle, Martine, Gellin, Joël, Chardon, Patrick, Emptoz-Bonneton, Agnès, Pugeat, Michel, Mormède, Pierre, and Moisan, Marie-Pierre
Published: 2004

27. BeeStrong: towards a genomic tool for the selection of Varroa resistant honey bees

Author: Sann, Christina, POQUET, Yannick, Basso, Benjamin, Mondet, Fanny, Eynard, Sonia, Servin, Bertrand, Phocas, Florence, François, Guillaume, Bidanel, Jean Pierre, Moulay-Cluzeau, Sophie, ProdInra, Migration, Abeilles & Environnement (UR 406 ), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'analyses, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, EVOLUTION, and ITSAP
Subjects: [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], [SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT], apidology, selection, genetic, genome, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2018

28. Cinquante années d’amélioration génétique du porc en France : bilan et perspectives

Author: Bidanel, Jean Pierre, Silalahi, Parsaoran, Tribout, Thierry, Canario, Laurianne, Ducos, Alain, Garreau, Hervé, Gilbert, Hélène, Larzul, Catherine, Milan, Denis, Riquet, Juliette, Schwob, Sandrine, Mercat, Marie-José, Hessenfratz, Claire, Bouquet, Alban, Bazin, Christophe, and Bidanel, Joël
Published: 2018

29. Le contexte du phénotypage animal, ses acteurs

Author: Urban, Bernadette, Ingrand, Stéphane, Bidanel, Jean Pierre, Pradel, Philippe, Martignon, Mélanie, Ricard, Edmond, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-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), Territoires (Territoires), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Herbipôle, Institut National de la Recherche Agronomique (INRA), Département Santé Animale (DEPT SA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut National de la Recherche Agronomique (INRA)-AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), and Université de Toulouse (UT)-Université de Toulouse (UT)
Subjects: Animal biology, qualité, outils informatiques, [SDV.BA]Life Sciences [q-bio]/Animal biology, haut débit, élevage, dispositif expérimental, outil informatique, phénotypage, phénotypage animal, communauté de pratiques, Biologie animale, équipement, animal, précision, expérimentation, mutualisation
Abstract: Chapitre 1 : Le contexte du phénotypage animal; National audience; Développer et mettre en production des outils informatiques mutualisés de phénotypage animal relève certes d’un collectif d’informaticiens mais fait aussi appel à des collaborations multiples de nombreux acteurs de différents métiers de la recherche et requiert l’adhésion de différents maillons d’un dispositif complexe. Cet article vise à décrire les principaux intervenants du phénotypage animal mobilisés par les Départements de Recherche Génétique Animale (GA) et Physiologie Animale et Systèmes d’Élevage (Phase) : l’ensemble du dispositif expérimental concerné, la CNUE (Commission Nationale des Unités Expérimentales), le CTIG (Centre de Traitement de l’Information Génétique) qui héberge les bases de données et les applications, et le Cati (Centre Automatisé de Traitement de l’Information) Sicpa (Systèmes d’Informations et de Calcul pour le Phénotypage Animal) en charge de produire des outils informatiques mutualisés de phénotypage animal pour les deux Départements de Recherche.
Published: 2018

30. Progeny-testing of full-sibs IBD in a SSC2 QTL region highlights epistatic interactions for fatness traits in pigs

Author: Iannuccelli Nathalie, Gilbert Hélène, Fève Katia, Sanchez Marie-Pierre, Tortereau Flavie, Billon Yvon, Milan Denis, Bidanel Jean-Pierre, and Riquet Juliette
Subjects: Genetics, QH426-470
Abstract: Abstract Background Many QTL have been detected in pigs, but very few of them have been fine-mapped up to the causal mutation. On SSC2, the IGF2-intron3-G3072A mutation has been described as the causative polymorphism for a QTL underlying muscle mass and backfat deposition, but further studies have demonstrated that at least one additional QTL should segregate downstream of this mutation. A marker-assisted backcrossing design was set up in order to confirm the segregation of this second locus, reduce its confidence interval and better understand its mode of segregation. Results Five recombinant full-sibs, with genotype G/G at the IGF2 mutation, were progeny-tested. Only two of them displayed significant QTL for fatness traits although four inherited the same paternal and maternal chromosomes, thus exhibiting the same haplotypic contrast in the QTL region. The hypothesis of an interaction with another region in the genome was proposed to explain these discrepancies and after a genome scan, four different regions were retained as potential interacting regions with the SSC2 QTL. A candidate interacting region on SSC13 was confirmed by the analysis of an F2 pedigree, and in the backcross pedigree one haplotype in this region was found to mask the SSC2 QTL effect. Conclusions Assuming the hypothesis of interactions with other chromosomal regions, the QTL could be unambiguously mapped to a 30 cM region delimited by recombination points. The marker-assisted backcrossing design was successfully used to confirm the segregation of a QTL on SSC2 and, because full-sibs that inherited the same alleles from their two parents were analysed, the detection of epistatic interactions could be performed between alleles and not between breeds as usually done with the traditional Line-Cross model. Additional analyses of other recombinant sires should provide more information to further improve the fine-mapping of this locus, and confirm or deny the interaction identified between chromosomes 2 and 13.
Published: 2011
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31. Number and mode of inheritance of QTL influencing backfat thickness on SSC2p in Sino-European pig pedigrees

Author: Bidanel Jean-Pierre, Heuven Henri CM, Gilbert Hélène, Tortereau Flavie, Groenen Martien AM, and Riquet Juliette
Subjects: Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract Background In the pig, multiple QTL associated with growth and fatness traits have been mapped to chromosome 2 (SSC2) and among these, at least one shows paternal expression due to the IGF2-intron3-G3072A substitution. Previously published results on the position and imprinting status of this QTL disagree between analyses from French and Dutch F2 crossbred pig populations obtained with the same breeds (Meishan crossed with Large White or Landrace). Methods To study the role of paternal and maternal alleles at the IGF2 locus and to test the hypothesis of a second QTL affecting backfat thickness on the short arm of SSC2 (SSC2p), a QTL mapping analysis was carried out on a combined pedigree including both the French and Dutch F2 populations, on the progeny of F1 males that were heterozygous (A/G) and homozygous (G/G) at the IGF2 locus. Simulations were performed to clarify the relations between the two QTL and to understand to what extent they can explain the discrepancies previously reported. Results The QTL analyses showed the segregation of at least two QTL on chromosome 2 in both pedigrees, i.e. the IGF2 locus and a second QTL segregating at least in the G/G F1 males and located between positions 30 and 51 cM. Statistical analyses highlighted that the maternally inherited allele at the IGF2 locus had a significant effect but simulation studies showed that this is probably a spurious effect due to the segregation of the second QTL. Conclusions Our results show that two QTL on SSC2p affect backfat thickness. Differences in the pedigree structures and in the number of heterozygous females at the IGF2 locus result in different imprinting statuses in the two pedigrees studied. The spurious effect observed when a maternally allele is present at the IGF2 locus, is in fact due to the presence of a second closely located QTL. This work confirms that pig chromosome 2 is a major region associated with fattening traits.
Published: 2011
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32. A locally congenic backcross design in pig: a new regional fine QTL mapping approach miming congenic strains used in mouse

Author: Billon Yvon, Iannuccelli Nathalie, Sanchez Marie-Pierre, Servin Bertrand, Gilbert Hélène, Riquet Juliette, Bidanel Jean-Pierre, and Milan Denis
Subjects: Genetics, QH426-470
Abstract: Abstract Background In previous studies, a major QTL affecting fatness and growth has been mapped to pig chromosome 1q (SSC1q) using Large White - Meishan intercrosses. A higher fat depth and a larger growth rate have been reported for the allele of MS origin. Additionally the LW allele showed partial dominance effects over the MS allele for both traits. In order to refine the QTL mapping interval, advanced backcross generations were produced. Recombinant heterozygous sires were mated to LW sows in order to progeny test the sire segregation of the QTL and refine the QTL localisation. However due to the partial dominance of the LW allele, BC scheme using LW as the receiving population was not optimal. Results To overcome the difficulties related to the dominance of the LW QTL allele, a population of dams locally homozygous for the MS haplotype in the QTL region, but with an overall 29/32 LW genetic background, has been set up. Progeny testing results, using these receiver dams, were much more significant than those previously obtained with LW dams, and the SSC1 QTL interval was refined to 8 cM. Considering the results obtained, a powerful experimental design for farm animals is proposed, mimicking locally genetically identical strains used in mouse for QTL fine mapping. Conclusions We have further characterized the fatness QTL on pig chromosome 1 and refined its map position from a 30 cM interval to a 8 cM interval, using a locally congenic BC design. We have obtained highly significant results and overcome difficulties due to the dominance of the LW allele. This design will be used to produce additional, advanced BC families to further refine this QTL localization.
Published: 2011
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33. Combining two Meishan F2 crosses improves the detection of QTL on pig chromosomes 2, 4 and 6

Author: Bidanel Jean-Pierre, Heuven Henri CM, Gilbert Hélène, Tortereau Flavie, Groenen Martien AM, and Riquet Juliette
Subjects: Animal culture, SF1-1100, Genetics, QH426-470
Abstract: Abstract Background In pig, a number of experiments have been set up to identify QTL and a multitude of chromosomal regions harbouring genes influencing traits of interest have been identified. However, the mapping resolution remains limited in most cases and the detected QTL are rather inaccurately located. Mapping accuracy can be improved by increasing the number of phenotyped and genotyped individuals and/or the number of informative markers. An alternative approach to overcome the limited power of individual studies is to combine data from two or more independent designs. Methods In the present study we report a combined analysis of two independent design (a French and a Dutch F2 experimental designs), with 2000 F2 individuals. The purpose was to further map QTL for growth and fatness on pig chromosomes 2, 4 and 6. Using QTL-map software, uni- and multiple-QTL detection analyses were applied separately on the two pedigrees and then on the combination of the two pedigrees. Results Joint analyses of the combined pedigree provided (1) greater significance of shared QTL, (2) exclusion of false suggestive QTL and (3) greater mapping precision for shared QTL. Conclusions Combining two Meishan x European breeds F2 pedigrees improved the mapping of QTL compared to analysing pedigrees separately. Our work was facilitated by the access to raw phenotypic data and DNA of animals from both pedigrees and the combination of the two designs with the addition of new markers allowed us to fine map QTL without phenotyping additional animals.
Published: 2010
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34. Likelihood and Bayesian analyses reveal major genes affecting body composition, carcass, meat quality and the number of false teats in a Chinese European pig line

Author: Marie-Pierre, Sanchez, Bidanel, Jean-Pierre, Zhang, Siqing, Naveau, Jean, Burlot, Thierry, and Le Roy, Pascale
Published: 2003
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35. Detection of quantitative trait loci for carcass composition traits in pigs

Author: Milan, Denis, Bidanel, Jean-Pierre, Iannuccelli, Nathalie, Riquet, Juliette, Amigues, Yves, Gruand, Joseph, Le Roy, Pascale, Renard, Christine, and Chevalet, Claude
Published: 2002
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36. A further look at quantitative trait loci affecting growth and fatness in a cross between Meishan and Large White pig populations

Author: Quintanilla, Raquel, Milan, Denis, and Bidanel, Jean-Pierre
Published: 2002
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37. Selection for litter size in pigs. II. Efficiency of closed and open selection lines*

Author: Bolet, Gérard, Bidanel, Jean-Pierre, and Ollivier, Louis
Published: 2001
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38. Detection of quantitative trait loci for growth and fatness in pigs

Author: Bidanel, Jean-Pierre, Milan, Denis, Iannuccelli, Nathalie, Amigues, Yves, Boscher, Marie-Yvonne, Bourgeois, Florence, Caritez, Jean-Claude, Gruand, Joseph, Le Roy, Pascale, Lagant, Hervé, Quintanilla, Raquel, Renard, Christine, Gellin, Joël, Ollivier, Louis, and Chevalet, Claude
Published: 2001
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39. Identification of QTL with effects on intramuscular fat content and fatty acid composition in a Duroc × Large White cross

Author: Legault Christian, Larzul Catherine, Gilbert Hélène, Gandemer Gilles, Billon Yvon, Bidanel Jean-Pierre, Basso Benjamin, Iannuccelli Nathalie, Sanchez Marie-Pierre, Riquet Juliette, Milan Denis, and Le Roy Pascale
Subjects: Genetics, QH426-470
Abstract: Abstract Background Improving pork quality can be done by increasing intramuscular fat (IMF) content. This trait is influenced by quantitative trait loci (QTL) sought out in different pig populations. Considering the high IMF content observed in the Duroc pig, it was appealing to determine whether favourable alleles at a major gene or QTL could be found. The detection was performed in an experimental F2 Duroc × Large White population first by segregation analysis, then by QTL mapping using additional molecular information. Results Segregation analysis provided evidence for a major gene, with a recessive Duroc allele increasing IMF by 1.8% in Duroc homozygous pigs. However, results depended on whether data were normalised or not. After Box-Cox transformation, likelihood ratio was indeed 12 times lower and no longer significant. The QTL detection results were partly consistent with the segregation analysis. Three QTL significant at the chromosome wide level were evidenced. Two QTL, located on chromosomes 13 and 15, showed a high IMF Duroc recessive allele with an overall effect slightly lower than that expected from segregation analysis (+0.4 g/100 g muscle). The third QTL was located on chromosome 1, with a dominant Large White allele inducing high IMF content (+0.5 g/100 g muscle). Additional QTL were detected for muscular fatty acid composition. Conclusion The study presented results from two complementary approaches, a segregation analysis and a QTL detection, to seek out genes involved in the higher IMF content observed in the Duroc population. Discrepancies between both methods might be partially explained by the existence of at least two QTL with similar characteristics located on two different chromosomes for which different boars were heterozygous. The favourable and dominant allele detected in the Large White population was unexpected. Obviously, in both populations, the favourable alleles inducing high IMF content were not fixed and improving IMF by fixing favourable alleles using markers can then be applied both in Duroc and LW populations. With QTL affecting fatty acid composition, combining an increase of IMF content enhancing monounsaturated fatty acid percentage would be of great interest.
Published: 2007
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40. Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. II. Genetic trends

Author: Zhang, Siqing, Bidanel, Jean-Pierre, Burlot, Thierry, Legault, Christian, and Naveau, Jean
Published: 2000
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41. Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. I. Genetic parameters

Author: Zhang, Siqing, Bidanel, Jean-Pierre, Burlot, Thierry, Legault, Christian, and Naveau, Jean
Published: 2000
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42. 49èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Corrégé, Isabelle, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Salaün, Yvon, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-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 du Porc (IFIP), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2017

43. Estimation of the effects of selection on French Large White sow and piglet performance during the suckling period

Author: Silalahi, Parsaoran, Tribout, Thierry, Billon, Yvon, Gogué, Jean-Marcel, Bidanel, Jean Pierre, Bogor Agricultural University - IPB (INDONESIA), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Domaine expérimental Bourges-La Sapinière (BOURGES), Institut National de la Recherche Agronomique (INRA), Action innovante du Ministère de l'Agriculture, and Génétique, Expérimentation et Système Innovants (GenESI)
Subjects: Male, Swine, Colostrum, animal diseases, [SDV]Life Sciences [q-bio], Stillbirth, Animals, Suckling, Eating, Random Allocation, Milk, fluids and secretions, Pregnancy, Animals, Birth Weight, Female, Semen Preservation
Abstract: Autre unité expérimentale impliquée : INRA, UE332 Domaine Expérimental de Bourges; The effects of 21 yr of selection were estimated for sow and piglet performance during the suckling period in a French Large White (LW) pig population using frozen semen. Two experimental groups (EXP = L77 and L98) were produced by inseminating LW sows with either stored frozen semen from 17 LW boars born in 1977 (EXP = L77) or with fresh semen from 23 LW boars born in 1998 (EXP = L98). Seventy-four L77 and 89 L98 randomly chosen females were mated to 15 L77 and 15 L98, respectively, randomly chosen boars for 6 successive parities. They produced 2,796 L77 progeny (G77) and 3,529 L98 progeny (G98) piglets including stillbirths. To disentangle direct and maternal effects on piglet growth, a 2 × 2 factorial design was set by cross-fostering half-litters across genetic groups the day after farrowing, resulting in mixed G77/G98 litters nursed by either L77 or L98 sows. Piglet traits investigated included individual weight at birth (IWB), at 21 d of age (IW21d), and at weaning at 4 wk of age (IWW) and ADG from birth to 21 d of age (ADG21d) and from birth to weaning (ADGBW) as well as probability of stillbirth, probability of mortality on the first day after farrowing and from d 2 to weaning. Sow traits analyzed included weight before farrowing and at weaning, feed intake, milk production, colostrum, and milk composition. The variability of performance across genetic groups and litters was also investigated. The data were analyzed using generalized (piglet mortality) or linear mixed models (other traits). Results showed an increase in IWB (+240 ± 72 g in 21 yr for IWB adjusted for total number born), and a negative maternal genetic trend was observed on piglet growth during the suckling period (e.g., +33 ± 13 g/d in 21 yr for ADG21d, that is, 14% of the mean), whereas direct genetic effects remained unchanged. Piglets from L98 litters also had a 40% larger probability of being stillborn and a 28% larger probability of dying on d 1 and had a more heterogeneous IWB (358 vs. 336 g; P < 0.001) and growth during the suckling period (60 vs. 56 g/d; P < 0.001). Sows from L77 and L98 experimental groups did not differ in weight, feed intake, colostrum, and milk composition. These results give evidence of negative correlated effects of selection for piglet traits related to robustness. These adverse effects are at least partly of maternal origin.
Published: 2017

44. Understanding the French honeybee populations by whole genome sequencing of haploid drones

Author: Wragg, David, Basso, Benjamin, Beguin, Maxime, Canale-Tabet, Kamila, Costa, Cecilia, Gregorc, Aleš, Bienefeld, Kaspar, Pinto, Alice, Parejo, Melanie, Gauthier, Laurent, Abrahams, Andrew, Delatte, Hélène, Clémencet, Johanna, Bidanel, Jean Pierre, Le Conte, Yves, Vignal, Alain, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], University of Edinburgh, Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Council for Agricultural Research and Economics (CREA), Agricultural Institute of Slovenia, Institute for Bee Research Hohen Neuendorf, Insituto Politécnico de Bragança, Centro de Investigação de Montanha (CIMO), Agroscope, University of Bern, Aviso, Inc Stanford University, Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de La Réunion (UR)-Institut National de la Recherche Agronomique (INRA), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Centro de Investigação de Montanha [Bragança, Portugal] (CIMO), Instituto Politécnico de Bragança-Instituto Politécnico de Bragança, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), and ProdInra, Archive Ouverte
Subjects: [SDV] Life Sciences [q-bio], animal structures, [SDV]Life Sciences [q-bio], fungi, abeille, genome, sequence, population, behavior and behavior mechanisms, food and beverages
Abstract: The endemic honeybee subspecies Apis mellifera mellifera has gradually been replaced in many beekeeper operations in France by other subspecies and by hybrids between A. m. ligustica, A.m. caucasica, and A. m. mellifera, which were found to be more efficient producers of honey and royal jelly, and also to be less aggressive. In order to understand the impact of these practices on the genome makeup of bee populations, we sequenced over 600 haploid drones, each from one colony belonging to various populations including black bee conservatories, queen breeders (honey and royal jelly production) as well as a few out-groups from various European locations. Results show that sequencing haploid individuals allows high confidence genotyping at a low cost, yielding millions of SNP. Chromosomal regions highly differentiated between populations are observed, presumably as a response to artificial selection on traits such as honey or royal jelly production, but also to other unknown events such as pathogen pressure and otherenvironment variables. Varying degrees of admixture between the local black bee Apis mellifera mellifera (M mitotype) and C-type sub-species that were imported by beekeepers are observed.
Published: 2016

45. Perceptions des pratiques d’élevage et des biotechnologies animales

Author: Selmi, Adel, Fostier, Alexis, Bidanel, Jean Pierre, Dupraz, Pierre, Hostiou, Nathalie, Le Bourhis, Maria-Céleste, Toureau, Valerie, Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés (LISIS), Institut National de la Recherche Agronomique (INRA)-Université Paris-Est Marne-la-Vallée (UPEM)-ESIEE Paris-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Structures et Marché Agricoles, Ressources et Territoires (SMART-LERECO), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Mutations des activités des espaces et des formes d'organisation dans les territoires ruraux (UMR METAFORT), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroParisTech, Pôle d'Expérimentation Avicole de Tours (UE PEAT), Institut National de la Recherche Agronomique (INRA), Collège de Direction (CODIR), 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), AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Subjects: [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, gouvernance, [SDV]Life Sciences [q-bio], contreverses, biotechnologies, [INFO]Computer Science [cs], science et société, élevage, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract: National audience
Published: 2016

46. 48èmes journées de la recherche porcine

Author: Bidanel, Jean Pierre, Brossard, Ludovic, Corrégé, Isabelle, Dourmad, Jean-Yves, Louveau, Isabelle, Oswald, Isabelle P., Quiniou, Nathalie, Renaudeau, David, Roguet, Christine, Salaün, Yvon, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-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 du Porc (IFIP), Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2016

47. Estimates of genetic parameters for content of boar taint compounds in adipose tissue of intact males at 160 and 220 days of age

Author: Rostellato, Roberta, Bonfatti, V., Larzul, Catherine, Bidanel, Jean Pierre, Carnier, P., Department of Comparative Biomedicine and Food Science, Universita degli Studi di Padova, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Génétique Animale et Biologie Intégrative (GABI), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech
Subjects: Male, Aging, Indoles, Adipose Tissue, Swine, [SDV]Life Sciences [q-bio], Animals, [INFO]Computer Science [cs], Bayes Theorem, Breeding, Chromatography, High Pressure Liquid, Skatole
Abstract: International audience; The aims of this study were to investigate variation in content of androstenone (AND), skatole (SKA), and indole (IND), quantified in adipose tissue of intact male pigs at 160 d of age (105 kg BW) and 220 d of age (155 kg BW), to estimate genetic parameters and to investigate the genetic relationships for AND, SKA, IND, and growth traits. A sample of adipose tissue was collected in vivo, using a biopsy device, from the neck of 500 intact males at the 2 ages and at slaughter from the ham of 100 of the investigated animals. Backfat depth was measured at 220 d of age, whereas BW was recorded at each sampling. Quantification of AND, SKA, and IND was performed by HPLC with fluorescence detection. Estimates of genetic parameters were obtained through Bayesian analyses after logarithmic transformations of original measures. Contents of boar taint compounds (BTC) measured at 220 d were higher than those at 160 d of age. Correlations between contents of BTC in backfat and ham fat ranged from 0.7 (IND) to 0.88 (SKA). Medium-high h were estimated for BTC at both ages, but estimates at 220 d (0.58, 0.60, and 0.69 for AND, SKA, and IND, respectively) were greater than those at 160 d. The genetic correlation between contents at 160 and 220 d of each BTC was positive, but the probability that such estimates were greater than 0.8 was very low, indicating that contents at 160 and 220 d were traits controlled by different genetic backgrounds. Different rankings were observed when breeding values for the content at 160 and 220 d of age were used to rank animals. As a consequence, performance testing programs for BTC should be based preferably on phenotypes measured at 220 d of age. Weak genetic correlations were observed between content of BT compounds and growth traits (BW, backfat depth, and daily gain from 160 to 220 d of age), indicating that selective breeding to reduce the risk of tainted pork is expected to exert trivial effects on growth performance and fat deposition. Results indicate that prevalence of BTC is high in mature and heavy pigs relative to young and light pigs. High heritability; positive genetic correlations between AND, SKA, and IND; and trivial effects on growth traits suggest that reduction of BTC through selective breeding is feasible and exploitable as an alternative to surgical castration also for pigs slaughtered at heavy BW.
Published: 2015

48. Genomic selection for more sustainable livestock production: the French situation

Author: Bidanel, Jean Pierre, Boichard, Didier, Milan, Denis, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: livestock, [SDV]Life Sciences [q-bio], production animale, livestock farms, sélection génomique, genomic selection
Abstract: Genomic selection for more sustainable livestock production: the French situation. 3. International Seminar on Animal Industry
Published: 2015

49. Effects of selection on the efficiency and variability of sow reproduction and maternal ability

Author: Silalahi, Parsaoran, Tribout, Thierry, Gogué, J., Billon, Yvon, Bidanel, Jean Pierre, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Bogor Agricultural University - IPB (INDONESIA), Domaine expérimental Bourges-La Sapinière (BOURGES), Institut National de la Recherche Agronomique (INRA), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Génétique, Expérimentation et Système Innovants (GenESI)
Subjects: reproduction, [SDV]Life Sciences [q-bio], selection, genetic, performance
Abstract: Effects of selection on the efficiency and variability of sow reproduction and maternal ability. 66. Annual Meeting of the European Federation of Animal Science (EAAP)
Published: 2015

50. Genetics as a tool towards more sustainable and agro-‐ecological animal production systems

Author: Bidanel, Jean Pierre, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, INRAE - Ambassade de France en Chine, and AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Subjects: [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2015

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