Search

Your search keyword '"Caritez, J.-C."' showing total 109 results
Start Over Author "Caritez, J.-C."
109 results on '"Caritez, J.-C."'

1. Genetic parameters for residual feed intake in growing pigs, with emphasis on genetic relationships with carcass and meat quality traits

Author

Gilbert, H., Bidanel, J.-P., Gruand, J., Caritez, J.-C., Billon, Y., Guillouet, P., Lagant, H., Noblet, J., and Sellier, P.

Subjects
Swine -- Growth, Swine -- Genetic aspects, Swine -- Food and nutrition, Heredity -- Research, Animal feeding behavior -- Genetic aspects, Meat -- Quality, Meat -- Genetic aspects, Company growth, Zoology and wildlife conservation
Abstract

Data were collected over the first 4 generations of a divergent selection experiment for residual feed intake of Large White pigs having ad libitum access to feed. This data set was used to obtain estimates of heritability for residual feed intake and genetic correlations ([r.sub.a]) between this trait and growth, carcass, and meat quality traits. Individual feed intake of group-housed animals was measured by single-space electronic feeders. Upward and downward selection lines were maintained contemporarily, with 6 boars and 35 to 40 sows per line and generation. Numbers of records were 793 for residual feed intake (RFI1) of boar candidates for selection issued from first-parity (P1) litters and tested over a fixed BW range (35 to 95 kg) and 657 for residual feed intake (RFI2) and growth, carcass, and meat quality traits of castrated males and females issued from second-parity (P2) litters and tested from 28 to 107 kg of BW. Variance and covariance components were estimated using REML methodology applied to a series of multitrait animal models, which always included the criterion for selection as 1 of the traits. Estimates of heritability for RFI 1 and RFI2 were 0.14 [+ or -] 0.03 and 0.24 [+ or -] 0.03, respectively, whereas the estimate of [r.sub.a] between the 2 traits was 0.91 [+ or -] 0.08. Estimates of [r.sub.a] indicated that selection for low residual feed intake has the potential to improve feed conversion ratio and reduce daily feed intake, with minimal correlated effect for ADG of P2 animals. Estimates of [r.sub.a] between RFI2 and body composition traits of P2 animals were positive for traits related to the amount of fat depots ([r.sub.a] = 0.44 [+ or -] 0.16 for carcass backfat thickness) and negative for carcass lean meat content ([r.sub.a] = -0.55 [+ or -] 0.14). There was a tendency for a negative genetic correlation between RFI2 and carcass dressing percent ([r.sub.a] = -0.36 [+ or -] 0.21). Moreover, selection for low residual feed intake is expected, through lower ultimate pH and lighter color, to decrease pork quality ([r.sub.a] = 0.77 [+ or -] 0.14 between RFI2 and a meat quality index intended to predict the ratio of the weight of ham after curing and cooking to the weight of defatted and boneless fresh ham). Key words: carcass composition, growth, meat quality, pig, residual feed intake

Published
2007

2. Effects of quantitative trait loci on chromosomes 1, 2, 4, and 7 on growth, carcass, and meat quality traits in backcross Meishan x Large White pigs

Author

Sanchez, M.-P., Riquet, J., Iannuccelli, N., Gogue, J., Billon, Y., Demeure, O., Caritez, J.-C., Burgaud, G., Feve, K., Bonnet, M., Pery, C., Lagant, H., Le Roy, P., Bidanel, J.-P., and Milan, D.

Subjects
Swine -- Genetic aspects, Swine -- Physiological aspects, Body composition -- Research, Quantitative trait loci -- Analysis, Meat -- Quality, Meat -- Research, Zoology and wildlife conservation
Abstract

The aim of this work was to estimate whether genetic dissection of QTL on chromosomes 1, 2, 4, and 7, detected in an [F.sub.2] Meishan x Large White population, can be achieved with a recombinant backcross progeny test approach. For this purpose, a first generation of backcross (B[C.sub.1]) was produced by using frozen semen of [F.sub.1] Large White x Meishan boars with Large White females. Four B[C.sub.1] boars were selected because of t8heir heterozygosity for at least 1 of the 4 regions. The B[C.sub.1] boars were crossed with Large White sows, and the resulting B[C.sub.2] offspring were measured for several growth and body composition traits. Contrary to the [F.sub.2] animals, B[C.sub.2] animals were also measured for meat quality traits in adductor, gluteus superficialis (GS), longissimus dorsi, and biceps femoris (BF) muscles. Each B[C.sub.1] boar was tested for a total of 39 traits and for the 4 regions with statistical interval mapping analyses. The QTL effects obtained in B[C.sub.1] families showed some differences compared with those described in [F.sub.1] families. However, we confirmed QTL effects for growth in the SW1301-SW2512 markers interval on chromosome 1 and also for body composition in the SW1828-SW2512 markers interval on chromosome 1, in the SW2443-SWR783 markers interval on chromosome 2, and in the SW1369-SW632 markers interval on chromosome 7. In addition, we detected new QTL for growth traits on chromosome 2 and for meat quality traits on chromosomes 1 and 2. Growth of animals from weaning to the end of the test was influenced by the IGF2 gene region on chromosome 2. Concerning meat quality, ultimate pH of adductor, longissimus dorsi, and BF were affected by the interval delimited by UMNP3000 and SW2512 markers on chromosome 1, and [a.sup.*] of GS, [L.sup.*] of BF, and water-holding capacity of GS were affected by QTL located between marker loci SW2443 and SWR783 on chromosome 2. Recombinant progeny testing appeared to be a suitable strategy for the genetic dissection of the QTL investigated. Key words: backcross, body composition, growth, meat quality, pig, quantitative trait loci

Published
2006

4. The PiGMaP consortium linkage map of the pig (Sus scrofa)

Author

Archibald, A. L., Haley, C. S., Brown, J. F., Couperwhite, S., McQueen, H. A., Nicholson, D., Coppieters, W., Van de Weghe, A., Stratil, A., Winterø, A. K., Fredholm, M., Larsen, N. J., Nielsen, V. H., Milan, D., Woloszyn, N., Robic, A., Dalens, M., Riquet, J., Gellin, J., Caritez, J. -C., Burgaud, G., Ollivier, L., Bidanel, J. -P., Vaiman, M., Renard, C., Geldermann, H., Davoli, R., Ruyter, D., Verstege, E. J. M., Groenen, M. A. M., Davies, W., Høyheim, B., Keiserud, A., Andersson, L., Ellegren, H., Johansson, M., Marklund, L., Miller, J. R., Anderson Dear, D. V., Signer, E., Jeffreys, A. J., Moran, C., Le Tissier, P., Muladno, Rothschild, M. F., Tuggle, C. K., Vaske, D., Helm, J., Liu, H. -C., Rahman, A., Yu, T. -P., Larson, R. G., and Schmitz, C. B.

Published
1995
Full Text
View/download PDF

14. Exclusion of the SLA as candidate region and reduction of the position interval for the porcine chromosome 7 QTL affecting growth and fatness

Author

Olivier Demeure, Marie Pierre Sanchez, Juliette Riquet, Nathalie Iannuccelli, Julie Demars, Katia Feve, Laëtitia Kernaléguen, Jean-Marcel Gogué, Yvon Billon, Caritez, J. C., Denis Milan, Jean Pierre Bidanel, ProdInra, Migration, Génétique Animale (GARen), 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)-Ecole Nationale Supérieure Agronomique de Rennes, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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, and Génétique Expérimentale en Productions Animales (GEPA)

Subjects
[SDV] Life Sciences [q-bio], FATNESS, QTL, [SDV]Life Sciences [q-bio], CROISEMENT EN RETOUR, BACKCROSS, GROWTH, PIGS, MHC, SLA, SWINE LEUKOCYTE ANTIGEN, LOCUS A EFFETS QUANTITATIFS
Published
2005

15. Exclusion of the swine leukocyte antigens as candidate region and reduction of the position interval for the Sus scrofa chromosome 7 QTL

Author

Olivier Demeure, Marie-Pierre Sanchez, Juliette Riquet, Nathalie Iannuccelli, Julie Demars, Katia Feve, Laëtitia Kernaléguen, Jean-Marcel Gogué, Yvon Billon, Caritez, J. C., Denis Milan, Jean Pierre Bidanel, Génétique Animale (GARen), 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)-Ecole Nationale Supérieure Agronomique de Rennes, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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, and Génétique Expérimentale en Productions Animales (GEPA)

Subjects
FATNESS, QTL, [SDV]Life Sciences [q-bio], GROWTH, PIGS, SLA, SWINE LEUKOCYTE ANTIGEN
Abstract

Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access; International audience

Published
2005

16. Exemple de cartographie fine : le cas du gène RN chez le porc

Author

Denis Milan, Annie Robic, Patrick Chardon, Nathalie Iannuccelli, Caritez, J. C., Martine Yerle, Joel Gellin, Looft, C., Andersson, L., Jean Michel Elsen, Pascale Le Roy, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Laboratoire de radiobiologie et d'étude du génome (LREG), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Unité expérimentale du GEVES du Magneraud, Institut National de la Recherche Agronomique (INRA), Christian-Albrechts University of Kiel, Swedish University of Agricultural Sciences (SLU), Station d'Amélioration Génétique des Animaux (SAGA), Station de Génétique Quantitative et Appliquée (SGQA), 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, and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA)

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

Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access; National audience; En 1986, un gène majeur ayant un effet défavorable sur le rendement à la cuisson de la viande de porc a été mis en évidence. La constitution de familles informatives nous a permis de cartographier ce gène appelé RN sur le chromosome 15. Pour identifier le gène RN, nous avons successivement réalisé : la cartographie génétique fine de RN, la cartographie cytogénétique de marqueurs proches, des études de carte comparée, le développement de cartes d’irradiation de la région de RN chez le porc et chez l’Homme, le développement d’un contig de BAC couvrant près de 2 Mb, le développement d’une carte du déséquilibre de liaison de la région de RN chez le porc, le séquençage d’un BAC contenant le gène RN, l’identification d’un gène encore inconnu membre d’une famille de gènes impliqués dans le métabolisme du glucose/glycogène, l’identification d’une mutation causale dans la séquence codante de ce gène.

Published
2000

17. Mapping of quantitative Trait Loci (QTL)in F2 crosses between Meishan and Large White pig breeds in France

Author

Jean Pierre Bidanel, Denis Milan, Claude Chevalet, Nathalie Iannuccelli, Bourgeois, F., Caritez, J. C., Joseph Gruand, Pascale Le Roy, Bonneau, M., Louis Lefaucheur, Jacques Mourot, Armelle Prunier, Desautes, C., Pierre Mormède, Christine Renard, Vaiman, M., Annie Robic, Gellin, L., Laurence Ollivier, Christian Legault, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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 Expérimentale en Productions Animales (GEPA), Unité de selection porcine, Station de recherches porcines, Neurogénétique et Stress (NS), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA), Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; International audience

Published
1998

18. Chromosome 7 mapping of a quantitative trait locus for fat androstenone level in Meishan X Large White F2 entire male pigs

Author

Jean Pierre Bidanel, Denis Milan, Claude Chevalet, Nathalie Iannuccelli, Caritez, J. C., Joseph Gruand, Pascale Le Roy, Bonneau, M., Christine Renard, Vaiman, M., Joel Gellin, Laurence Ollivier, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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 Expérimentale en Productions Animales (GEPA), Unité de selection porcine, Station de recherches porcines, Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), and Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

Subjects
androstenone, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; International audience

Published
1997

19. Between-breed variability of stillbirth and its relationship with sow and piglet characteristics

Author

Canario, Laurianne, Cantoni, E., Le Bihan, Etienne, Caritez, J.-C., Billon, Bidanel, J.-P., Foulley, J.-L., Canario, Laurianne, Cantoni, E., Le Bihan, Etienne, Caritez, J.-C., Billon, Bidanel, J.-P., and Foulley, J.-L.

Abstract

Litter characteristics at birth were recorded in 4 genetic types of sows with differing maternal abilities. Eighty-two litters from F1 Duroc × Large White sows, 651 litters from Large White sows, 63 litters from Meishan sows, and 173 litters from Laconie sows were considered. Statistical models included random effects of sow, litter, or both; fixed effects of sow genetic type, parity, birth assistance, and piglet sex, as well as gestation length, farrowing duration, piglet birth weight, and litter size as linear covariates. The quadratic components of the last 2 factors were also considered. For statistical analyses, GLM were first considered, assuming a binomial distribution of stillbirth. Hierarchical models were also fitted to the data to take into account correlations among piglets from the same litter. Model selection was performed based on deviance and deviance information criterion. Finally, standard and robust generalized estimating equations (GEE) procedures were applied to quantify the importance of each effect on a piglet’s probability of stillbirth. The 5 most important factors involved were, in decreasing order (contribution of each effect to variance reduction): difference between piglet birth weight and the litter mean (2.36%), individual birth weight (2.25%), piglet sex (1.01%), farrowing duration (0.99%), and sow genetic type (0.94%). Probability of stillbirth was greater for lighter piglets, for male piglets, and for piglets from small or very large litters. Probability of stillbirth increased with sow parity number and with farrowing duration. Piglets born from Meishan sows had a lower risk of stillbirth (P < 0.0001) and were little affected by the sources of variation mentioned above compared with the 3 other sow genetic types. Standard and robust GEE approaches gave similar results despite some disequilibrium in the data set structure highlighted with the robust GEE approach.

Published
2006

20. Mapping quantitative trait loci in a Meishan x large white F2 population

Author

Jean Pierre Bidanel, Denis Milan, Claude Chevalet, Nathalie Iannuccelli, Caritez, J. C., Joseph Gruand, Pascale Le Roy, Bonneau, M., Christine Renard, Vaiman, M., Joel Gellin, Laurence Ollivier, Unité de selection porcine, Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Génétique Expérimentale en Productions Animales (GEPA), Station de Génétique Quantitative et Appliquée (SGQA), Station de recherches porcines, Laboratoire de radiobiologie et d'étude du génome (LREG), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), 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, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; International audience

Published
1996

21. Mapping quantitative trait loci in a Meishan X Large White F2 population

Author

Claude Chevalet, Jean Pierre Bidanel, Pascale Le Roy, Denis Milan, Vaiman, M., Christine Renard, Nathalie Iannuccelli, Bourgeois, F., Caritez, J. C., Joseph Gruand, Joel Gellin, Laurence Ollivier, Laboratoire de Génétique Cellulaire (LGC), 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, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Génétique Expérimentale en Productions Animales (GEPA), Unité de selection porcine, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; International audience

Published
1996

22. The PiGMaP consortium linkage map of the pig (Sus scrofa)

Author

Archibald, A L, Haley, C S, Brown, J F, Couperwhite, S, McQueen, H A, Nicholson, D, Coppieters, W, Van de Weghe, A, Stratil, A, Winterø, A K, Fredholm, M, Larsen, Niels Jensen, Nielsen, Vivi Hunnicke, Milan, D, Woloszyn, N, Robic, A, Dalens, M, Riquet, J, Gellin, J, Caritez, J-C, Burgaud, G, Ollivier, L, Bidanel, J-P, Vaiman, M, Renard, C, Geldermann, H, Davoli, R, Ruyter, D, Verstege, E J M, Groenen, M A M, Davies, W, Høyheim, B, Keiserud, A, Andersson, L, Ellegren, H, Johansson, M, Marklund, L, Miller, J R, Anderson Dear, D V, Signer, E, Jeffreys, A J, Moran, C, Le Tissier, P, Muladno, A, Rotchild, M F, Tuggle, C K, Vaske, D, Helm, J, Liu, H-C, Rahman, A, Yu, T-P, Larson, R G, and Schmitz, C B

Published
1995

25. Effects of quantitative trait loci on chromosomes 1, 2, 4, and 7 on growth, carcass, and meat quality traits in backcross Meishan × Large White pigs1

Author

Sanchez, M.-P., primary, Riquet, J., additional, Iannuccelli, N., additional, Gogué, J., additional, Billon, Y., additional, Demeure, O., additional, Caritez, J.-C., additional, Burgaud, G., additional, Fève, K., additional, Bonnet, M., additional, Péry, C., additional, Lagant, H., additional, Le Roy, P., additional, Bidanel, J.-P., additional, and Milan, D., additional

Published
2006
Full Text
View/download PDF

26. Exclusion of the swine leukocyte antigens as candidate region and reduction of the position interval for the Sus scrofa chromosome 7 QTL affecting growth and fatness1

Author

Demeure, O., primary, Sanchez, M. P., additional, Riquet, J., additional, Iannuccelli, N., additional, Demars, J., additional, Fève, K., additional, Kernaleguen, L., additional, Gogué, J., additional, Billon, Y., additional, Caritez, J. C., additional, Milan, D., additional, and Bidanel, J. P., additional

Published
2005
Full Text
View/download PDF

32. Exclusion of the swine leukocyte antigens as candidate region and reduction of the position interval for the Sus scrofachromosome 7 QTL affecting growth and fatness1

Author

Demeure, O., Sanchez, M. P., Riquet, J., Iannuccelli, N., Demars, J., Fève, K., Kernaleguen, L., Gogué, J., Billon, Y., Caritez, J. C., Milan, D., and Bidanel, J. P.

Abstract

Pig chromosome 7 (SSC 7) has been shown to be rich in QTL affecting performance and quality traits. Most studies mapped the QTL close to the swine leukocyte antigens (SLA), which has a large effect on adaptability and natural selection. Previous comparative mapping studies suggested that the 15-cM region limited by markers LRA1(mapped at 55 cM) and S0102(mapped at 70 cM) contains hundreds of genes. To decrease the number of candidate genes, we improved the mapping resolution with a genetic chromosome dissection through a backcross recombinant progeny test program between Meishan (MS) and European (EU; i.e., Large White or Landrace) breeds. Three first-generation backcross—(EU × MS) × EU—and two second-generation backcross—([EU × MS] × EU) × EU—sires carrying a recombination in the QTL mapping interval were progeny-tested (i.e., measured for a total of 44 growth, fatness, carcass and meat quality traits). Progeny family size varied from 29 to 119 pigs. Animals were genotyped for markers covering the region of interest. Progeny-test results allowed the QTL interval to be decreased from 15 to 20 cM down to 10 cM, and even less than 6 cM if we assumed that the EU pigs used in this study share only one QTL allele. Except for a putative QTL affecting some carcass composition traits, the SLA is excluded as a candidate region, suggesting that it might be possible to apply a marker-assisted selection strategy for this QTL, while controlling SLA allele diversity. The strong QTL effects remaining in animals with only 12.5% (issued from first-generation backcross boars) and 6.25% (issued from second-generation back-cross boars) Meishan genetic background shows that epistatic interactions are likely to be limited. Finally, the QTL does not have strong effects on meat quality traits.

Published
2005
Full Text
View/download PDF

33. Intranasal midazolam in piglets: pharmacodynamics (0.2 vs0.4 mg/kg) and pharmacokinetics (0.4 mg/kg) with bioavailability determination

Author

Lacoste, L., Bouquet, S., Ingrand, P., Caritez, J. C., Carretier, M., and Debaene, B.

Abstract

Intranasal midazolam was studied in two series of piglets: series 1, n= 20 (18 ± 3 kg), a randomized double blind pharmacodynamic study to compare doses of 0.2 mg/kg and 0.4 mg/kg; series 2, n= 9 (42 ± 8 kg), a pharmacokinetic study with a 0.4 mg/kg dose administered either intravenously (i.v.) or intranasally (i.n.) in a cross-over protocol with a one-week wash-out period between each. In series 1, midazolam caused significant anxiolysis and sedation within 3 to 4 min, without a significant difference between 0.2 and 0.4 mg/kg doses for any of the studied parameters. In series 2, after intranasal midazolam administration of 0.4 mg/kg, plasma concentrations attained a maximum (Cmax) of 0.13 ± 0.04 mg/l at 5 min (median Tmax) and remained higher than 0.04 mg/l until 60 min. The bioavailability factor (F) in this study was F = 0.64 ± 0.17 by the intranasal route. The terminal half-life (T1/2 λz) = 145 ± 138 min was comparable with the i.v. administration half-life (158 ± 127 min). In conclusion, optimal intranasal midazolam dose in piglets was 0.2 mg/kg, which procures rapid and reliable sedation, adapted to laboratory piglets.

Published
2000
Full Text
View/download PDF

35. Accurate mapping of the “acid meat” RNgene on genetic and physical maps of pig Chromosome 15

Author

Milan, D., Woloszyn, N., Yerle, M., Roy, P. Le, Bonnet, M., Riquet, J., Lahbib-Mansais, Y., Caritez, J. -C., Robic, A., Sellier, P., Elsen, J. -M., and Gellin, J.

Abstract

It has been shown that a major gene, called RN, is responsible for the RTN technological yield, a meat quality porcine trait. Experimental families informative for the segregation of RNgene were constituted from animals belonging to the Laconie composite line. We have previously mapped the RNgene to Chromosome (Chr) 15 (Milan et al. Genet. Sel. Evol. 27, 195-199, 1995). A Chr 15 map was established with 16 markers. The RNgene was found to be located between markers Sw120and Sw936, at 2 cM from Sw936(LOD = 38.1). In addition, by localizing Sw936at 15q21–22 using DISC-PCR, we also located RNon the physical map.

Published
1996
Full Text
View/download PDF

36. Programme de cartographie fine de QTL sur les chromosomes porcins 1, 2, 4 et 7 : résultats préliminaires

Author

Marie Pierre Sanchez, Juliette Riquet, Nathalie Iannuccelli, Jean-Marcel Gogué, Yvon Billon, Olivier Demeure, Caritez, J. C., Germaine Burgaud, Katia Feve, Christophe Péry, Herve Lagant, Pascale Le Roy, Jean Pierre Bidanel, Denis Milan, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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, Domaine expérimental Bourges-La Sapinière (BOURGES), and Génétique Expérimentale en Productions Animales (GEPA)

Subjects
BODY COMPOSITION, MEAT, QTL, [SDV]Life Sciences [q-bio], GROWTH, BACKCROSS, PIGS, ComputingMilieux_MISCELLANEOUS, LOCUS A EFFETS QUANTITATIFS
Abstract

International audience

37. Recherche de QTL dans le croisement entre les races porcines Meishan et Large White

Author

Jean Pierre Bidanel, Denis Milan, Claude Chevalet, Nathalie Woloszyn, Caritez, J. C., Joseph Gruand, Pascale Le Roy, Christine Renard, Vaiman, M., Bonneau, M., Louis Lefaucheur, Jacques Mourot, Armelle Prunier, Desautes, C., Pierre Mormede, Duval-Iflah, Y., Mouricout, M., Yves Amigues, Bourgeois, F., Laurence Ollivier, Joel Gellin, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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 Expérimentale en Productions Animales (GEPA), Unité de selection porcine, Laboratoire de radiobiologie et d'étude du génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Recherche Agronomique (INRA), Station de recherches porcines, Neurogénétique et Stress (NS), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA), Unité de recherche d'Écologie et Physiologie du Système Digestif (UEPSD), Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; National audience

38. Mapping of quantitative trait loci (QTL) in F2 crosses between Meishan and Large White pig breeds. Experimental design and first results

Author

Jean Pierre Bidanel, Denis Milan, Claude Chevalet, Nathalie Iannuccelli, Bourgeois, F., Caritez, J. C., Joseph Gruand, Pascale Le Roy, Bonneau, M., Louis Lefaucheur, Jacques Mourot, Armelle Prunier, Desautes, C., Pierre Mormède, Christine Renard, Vaiman, M., Annie Robic, Joel Gellin, Laurence Ollivier, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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 Expérimentale en Productions Animales (GEPA), Insémination Caprine et Porcine (ICP), Station de recherches porcines, Neurogénétique et Stress (NS), and Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)

Subjects
locus à effet quantitatif, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], génétique
Abstract

"Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; National audience

46. Detection of quantitative trait loci for teat number and female reproductive traits in Meishan × Large White F2 pigs.

Author

Bidanel JP, Rosendo A, Iannuccelli N, Riquet J, Gilbert H, Caritez JC, Billon Y, Amigues Y, Prunier A, and Milan D

Abstract

A quantitative trait locus (QTL) analysis of female reproductive data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six F1 boars and 23 F1 sows, progeny of six LW boars and six MS sows, produced 573 F2 females and 530 F2 males. Six traits, i.e. teat number (TN), age at puberty (AP), ovulation rate (OR), weight at mating (WTM), number of viable embryos (NVE) and embryo survival (ES) at 30 days of gestation were analysed. Animals were genotyped for a total of 137 markers covering the entire porcine genome. Analyses were carried out based on interval mapping methods, using a line-cross (LC) regression and a half-full sib (HFS) maximum likelihood test. Genome-wide (GW) highly significant (P < 0.001) QTL were detected for WTM on SSC 7 and for AP on SSC 13. They explained, respectively, 14.5% and 8.9% of the trait phenotypic variance. Other GW significant (P < 0.05) QTL were detected for TN on SSC 3, 7, 8, 16 and 17, for OR on SSC 4 and 5, and for ES on SSC 9. Two additional chromosome-wide significant (P < 0.05) QTL were detected for TN, three for WTM, four for AP, three for OR, three for NVE and two for ES. With the exception of the two above-mentioned loci, the QTL explained from 1.2% to 4.6% of trait phenotypic variance. QTL alleles were in most cases not fixed in the grand-parental populations and Meishan alleles were not systematically associated with higher reproductive performance.

Published
2008
Full Text
View/download PDF

47. Detection of quantitative trait loci for growth and fatness in pigs.

Author

Bidanel JP, Milan D, Iannuccelli N, Amigues Y, Boscher MY, Bourgeois F, Caritez JC, Gruand J, Le Roy P, Lagant H, Quintanilla R, Renard C, Gellin J, Ollivier L, and Chevalet C

Subjects
Alleles, Animals, Body Weight, Chromosome Mapping, Data Collection, Female, Genetic Linkage, Genetic Markers, Genotype, Inbreeding, Likelihood Functions, Male, Models, Genetic, Multifactorial Inheritance, Pedigree, Polymorphism, Genetic, Swine genetics, Adipose Tissue growth & development, Quantitative Trait, Heritable, Swine growth & development
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
Full Text
View/download PDF

48. Comparison between the three porcine RN genotypes for growth, carcass composition and meat quality traits.

Author

Le Roy P, Elsen JM, Caritez JC, Talmant A, Juin H, Sellier P, and Monin G

Abstract

A three-step experimental design has been carried out to add evidence about the existence of the RN gene, with two segregating alleles RN- and rn+, having major effects on meat quality in pigs, to estimate its effects on production traits and to map the RN locus. In the present article, the experimental population and sampling procedures are described and discussed, and effects of the three RN genotypes on growth and carcass traits are presented. The RN genotype had no major effect on growth performance and killing out percentage. Variables pertaining to carcass tissue composition showed that the RN- allele is associated with leaner carcasses (about 1 s.d. effect without dominance for back fat thickness, 0.5 s.d. effect with dominance for weights of joints). Muscle glycolytic potential (GP) was considerably higher in RN- carriers, with a maximum of a 6.85 s.d. effect for the live longissimus muscle GP. Physico-chemical characteristics of meat were also influenced by the RN genotype in a dominant way, ultimate pH differing by about 2 s.d. between homozygous genotypes and meat colour by about 1 s.d. Technological quality was also affected, with a 1 s.d. decrease in technological yield for RN- carriers. The RN genotype had a more limited effect on eating quality. On the whole, the identity between the acid meat condition and the RN- allele effect is clearly demonstrated (higher muscle GP, lower ultimate pH, paler meat and lower protein content), and the unfavourable relationship between GP and carcass lean to fat ratio is confirmed.

Published
2000
Full Text
View/download PDF

49. Ischemia-reperfusion injury is associated with inflammatory cell infiltration: evaluation in a pig kidney autotransplant model.

Author

Richer JP, Gibelin H, Planet M, Bardou A, Ben Amor I, Germonville T, Caritez JC, Carretier M, Eugene M, and Hauet T

Subjects
Animals, Creatinine blood, Graft Survival, Hypertonic Solutions, Inflammation, Kidney Transplantation physiology, Organ Preservation Solutions, Reperfusion Injury physiopathology, Swine, Transplantation, Autologous, Kidney, Kidney Transplantation pathology, Organ Preservation methods, Reperfusion Injury pathology
Published
2000
Full Text
View/download PDF

50. Early evaluation of renal medulla injury by (1)H nuclear magnetic resonance spectroscopy after preservation and transplantation.

Author

Baumert H, Richer JP, Gibelin H, Ben Amor I, Caritez JC, Germonville T, Carretier M, Eugene M, and Hauet T

Subjects
Adenosine, Allopurinol, Animals, Creatinine metabolism, Glutathione, Hydrogen, Hypertonic Solutions, Insulin, Magnetic Resonance Spectroscopy methods, Methylamines pharmacokinetics, Organ Preservation Solutions, Oxidants pharmacokinetics, Raffinose, Swine, Kidney Medulla pathology, Kidney Transplantation pathology, Kidney Transplantation physiology, Organ Preservation
Published
2000
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results