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Aguilar I, Legarra A, Cardoso F, Masuda Y, Lourenco D, Misztal I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. Genet Sel Evol. 2019;51(1):28. doi:10.1186/s12711-019-0469-3.
Oget C, Tosser-Klopp G, Rupp R. Genetic and genomic studies in ovine mastitis. Small Ruminant Research . 2019;176:55-64.
Oget C, Servin B, Palhiere I. Genetic diversity analysis of French goat populations reveals selective sweeps involved in their differentiation. Anim Genet. 2019;50(1):54-63. doi:10.1111/age.12752.
Terenina EE, Cavigelli S, Mormède P, et al. Genetic Factors Mediate the Impact of Chronic Stress and Subsequent Response to Novel Acute Stress. Front Neurosci. 2019;13:438. doi:10.3389/fnins.2019.00438.
Tortereau F, Marie-Etancelin C, Weisbecker J-L, et al. Genetic parameters for feed efficiency in Romane rams and responses to single-generation selection. Animal. 2019:1-7. doi:10.1017/S1751731119002544.
Arnal M, Larroque H, Leclerc H, Ducrocq V, Robert-Granie C. Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model. Genet Sel Evol. 2019;51(1):43. doi:10.1186/s12711-019-0485-3.
Kempf F, Chambellon E, Helloin E, Garreau H, Lantier F. Genome Sequences of 17 Pasteurella multocida Strains Involved in Cases of Rabbit Pasteurellosis. Microbiol Resour Announc. 2019;8(37). doi:10.1128/MRA.00681-19.
Muñoz M, Bozzi R, García-Casco J, et al. Genomic diversity, linkage disequilibrium and selection signatures in European local pig breeds assessed with a high density SNP chip. Sci Rep. 2019;9(1):13546. doi:10.1038/s41598-019-49830-6.
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.
Vignal A, Boitard S, Thebault N, et al. A guinea fowl genome assembly provides new evidence on evolution following domestication and selection in galliformes. Molecular ecology resources. 2019;19:997—1014. doi:10.1111/1755-0998.13017.
Legendre H, Goby J-P, Duprat A, Gidenne T, Martin G. Herbage intake and growth of rabbits under different pasture type, herbage allowance and quality conditions in organic production. Animal. 2019;13(3):495-501. doi:10.1017/S1751731118001775.
Ben Jemaa S, Ruesche J, Sarry J, Woloszyn F, Lassoued N, Fabre S. The high prolificacy of D'man sheep is associated with the segregation of the FecL mutation in the B4GALNT2 gene. Reprod Domest Anim. 2019;54(3):531-537. doi:10.1111/rda.13391.
Mulligan MK, Lu L, Cavigelli SA, et al. Impact of Genetic Variation on Stress-Related Ethanol Consumption. Alcohol Clin Exp Res. 2019;43(7):1391-1402. doi:10.1111/acer.14073.
Pallotta MMichela, Barbato V, Pinton A, et al. In vitro exposure to CPF affects bovine sperm epigenetic gene methylation pattern and the ability of sperm to support fertilization and embryo development. Environ Mol Mutagen. 2019;60(1):85-95. doi:10.1002/em.22242.
Rodriguez-Ramilo ST, Elsen JM, Legarra A. Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates. J Dairy Sci. 2019;102(5):4227-4237. doi:10.3168/jds.2018-15405.
Paris C, Servin B, Boitard S. Inference of Selection from Genetic Time Series Using Various Parametric Approximations to the Wright-Fisher Model. G3 (Bethesda). 2019;9(12):4073-4086. doi:10.1534/g3.119.400778.
Arroyo J, Molette C, Lavigne F, Knudsen C, Deneufbourg C, Fortun-Lamothe L. Influence of the corn form in the diet and length of fasting before slaughter on the performance of overfed mule ducks. Poult Sci. 2019;98(2):753-760. doi:10.3382/ps/pey432.
David I, Canario L, Combes S, Demars J. Intergenerational Transmission of Characters Through Genetics, Epigenetics, Microbiota, and Learning in Livestock. Front Genet. 2019;10:1058. doi:10.3389/fgene.2019.01058.
Macé T, González-García E, Carrière F, et al. Intra-flock variability in the body reserve dynamics of meat sheep by analyzing BW and body condition score variations over multiple production cycles. Animal. 2019;13(9):1986-1998. doi:10.1017/S175173111800352X.
Messad F, Louveau I, Koffi B, Gilbert H, Gondret F. Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs. BMC Genomics. 2019;20(1):659. doi:10.1186/s12864-019-6010-9.
Low A, Zhao S, Rogers MJ, et al. Isolation, characterization and bioaugmentation of an acidotolerant 1,2-dichloroethane respiring Desulfitobacterium species from a low pH aquifer. FEMS Microbiol Ecol. 2019;95(5). doi:10.1093/femsec/fiz055.
Le Sciellour M, Renaudeau D, Zemb O. Longitudinal Analysis of the Microbiota Composition and Enterotypes of Pigs from Post-Weaning to Finishing. Microorganisms. 2019;7(12). doi:10.3390/microorganisms7120622.
Dubois O, Allanic C, Charvet CL, et al. Lupin (Lupinus spp.) seeds exert anthelmintic activity associated with their alkaloid content. Sci Rep. 2019;9(1):9070. doi:10.1038/s41598-019-45654-6.
Le Boulch M, Dehais P, Combes S, Pascal G. The MACADAM database: a MetAboliC pAthways DAtabase for Microbial taxonomic groups for mining potential metabolic capacities of archaeal and bacterial taxonomic groups. Database (Oxford). 2019;2019. doi:10.1093/database/baz049.
Knudsen C, Neyrinck AM, Lanthier N, Delzenne NM. Microbiota and nonalcoholic fatty liver disease: promising prospects for clinical interventions?. Curr Opin Clin Nutr Metab Care. 2019;22(5):393-400. doi:10.1097/MCO.0000000000000584.