Publications

Found 28 results
Filters: Keyword is Breeding  [Clear All Filters]
2021
Bovo S, Schiavo G, Ribani A, et al. Describing variability in pig genes involved in coronavirus infections for a One Health perspective in conservation of animal genetic resources. Sci Rep. 2021;11(1):3359. doi:10.1038/s41598-021-82956-0.
2020
Garcia-Baccino CA, Lourenco DAL, Miller S, Cantet RJC, Vitezica ZG. Estimating dominance genetic variances for growth traits in American Angus males using genomic models. J Anim Sci. 2020;98(1). doi:10.1093/jas/skz384.
Bovo S, Ribani A, Muñoz M, et al. Whole-genome sequencing of European autochthonous and commercial pig breeds allows the detection of signatures of selection for adaptation of genetic resources to different breeding and production systems. Genet Sel Evol. 2020;52(1):33. doi:10.1186/s12711-020-00553-7.
2019
Tusell L, Gilbert H, Vitezica ZG, Mercat MJ, Legarra A, Larzul C. Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits. Animal. 2019;13(11):2429-2439. doi:10.1017/S1751731119001046.
Gourdine J-L, Riquet J, Rosé R, et al. Genotype by environment interactions for performance and thermoregulation responses in growing pigs1,2. J Anim Sci. 2019;97(9):3699-3713. doi:10.1093/jas/skz245.
Macé T, Hazard D, Carrière F, Douls S, Foulquié D, González-García E. Relationships between body reserve dynamics and rearing performances in meat ewes1. J Anim Sci. 2019;97(10):4076-4084. doi:10.1093/jas/skz273.
2018
Raoul J, Palhiere I, Astruc JM, Swan A, Elsen JM. Optimal mating strategies to manage a heterozygous advantage major gene in sheep. Animal. 2018;12(3):454-463. doi:10.1017/S1751731117001835.
2017
Parejo M, Wragg D, Henriques D, Vignal A, Neuditschko M. Genome-wide scans between two honeybee populations reveal putative signatures of human-mediated selection. Anim Genet. 2017;48(6):704-707. doi:10.1111/age.12599.
Amills M, Capote J, Tosser-Klopp G. Goat domestication and breeding: a jigsaw of historical, biological and molecular data with missing pieces. Anim Genet. 2017;48(6):631-644. doi:10.1111/age.12598.
Masuda Y, Misztal I, Legarra A, et al. Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient. J Anim Sci. 2017;95(1):49-52. doi:10.2527/jas.2016.0699.
2016
Boitard S, Rodríguez W, Jay F, Mona S, Austerlitz F. Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach. PLoS Genet. 2016;12(3):e1005877. doi:10.1371/journal.pgen.1005877.
Phocas F, Belloc C, Bidanel J, et al. Review: Towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes: I-selection goals and criteria. Animal. 2016;10(11):1749-1759. doi:10.1017/S1751731116000926.
2015
Ricard A. Does heterozygosity at the DMRT3 gene make French trotters better racers?. Genet Sel Evol. 2015;47:10. doi:10.1186/s12711-015-0095-7.
Mukiibi R, Rochus CM, Andersson G, Johansson AM. The use of endogenous retroviruses as markers to describe the genetic relationships among local Swedish sheep breeds. Anim Genet. 2015;46(2):220-3. doi:10.1111/age.12264.
2014
Riggio V, Abdel-Aziz M, Matika O, Moreno C, Carta A, Bishop SC. Accuracy of genomic prediction within and across populations for nematode resistance and body weight traits in sheep. Animal. 2014;8(4):520-8. doi:10.1017/S1751731114000081.
Martin P, Raoul J, Bodin L. Effects of the FecL major gene in the Lacaune meat sheep population. Genet Sel Evol. 2014;46:48. doi:10.1186/1297-9686-46-48.
Drouilhet L, Basso B, Bernadet M-D, et al. Improving residual feed intake of mule progeny of Muscovy ducks: genetic parameters and responses to selection with emphasis on carcass composition and fatty liver quality. J Anim Sci. 2014;92(10):4287-96. doi:10.2527/jas.2014-8064.
Riggio V, Pong-Wong R, Sallé G, et al. A joint analysis to identify loci underlying variation in nematode resistance in three European sheep populations. J Anim Breed Genet. 2014;131(6):426-36. doi:10.1111/jbg.12071.
Lee MOk, Yang E, Morisson M, et al. Mapping and genotypic analysis of the NK-lysin gene in chicken. Genet Sel Evol. 2014;46:43. doi:10.1186/1297-9686-46-43.
Misztal I, Legarra A, Aguilar I. Using recursion to compute the inverse of the genomic relationship matrix. J Dairy Sci. 2014;97(6):3943-52. doi:10.3168/jds.2013-7752.
2013
Theron L, Fernandez X, Marty-Gasset N, et al. Proteomic analysis of duck fatty liver during post-mortem storage related to the variability of fat loss during cooking of "foie gras". J Agric Food Chem. 2013;61(4):920-30. doi:10.1021/jf302979q.
2012
Mormède P, Terenina E. Molecular genetics of the adrenocortical axis and breeding for robustness. Domest Anim Endocrinol. 2012;43(2):116-31. doi:10.1016/j.domaniend.2012.05.002.
Hocquette J-F, Capel C, David V, et al. Objectives and applications of phenotyping network set-up for livestock. Anim Sci J. 2012;83(7):517-28. doi:10.1111/j.1740-0929.2012.01015.x.
Rohart F, Paris A, Laurent B, et al. Phenotypic prediction based on metabolomic data for growing pigs from three main European breeds. J Anim Sci. 2012;90(13):4729-40. doi:10.2527/jas.2012-5338.
2011
Amigues Y, Boitard S, Bertrand C, San Cristobal M, Rocha D. Genetic characterization of the Blonde d’Aquitaine cattle breed using microsatellite markers and relationship with three other French cattle populations. Journal of animal breeding and genetics. 2011;128:201-8. doi:10.1111/j.1439-0388.2010.00890.x.

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