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Zemb O, Achard CS, Hamelin J, et al. Absolute quantitation of microbes using 16S rRNA gene metabarcoding: A rapid normalization of relative abundances by quantitative PCR targeting a 16S rRNA gene spike-in standard. Microbiologyopen. 2020;9(3):e977. doi:10.1002/mbo3.977.
Reverter A, Vitezica ZG, Naval-Sánchez M, et al. Association analysis of loci implied in "buffering" epistasis. J Anim Sci. 2020;98(3). doi:10.1093/jas/skaa045.
Macedo FL, Reverter A, Legarra A. Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. J Dairy Sci. 2020;103(1):529-544. doi:10.3168/jds.2019-16603.
Macedo FL, Christensen OF, Astruc J-M, Aguilar I, Masuda Y, Legarra A. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genet Sel Evol. 2020;52(1):47. doi:10.1186/s12711-020-00567-1.
Lo B, Marty-Gasset N, Manse H, et al. Cellular markers of mule duck livers after force-feeding. Poult Sci. 2020;99(7):3567-3573. doi:10.1016/j.psj.2020.03.048.
Cervantes I, Bodin L, Valera M, Molina A, Gutiérrez JPablo. Challenging the selection for consistency in the rank of endurance competitions. Genet Sel Evol. 2020;52(1):20. doi:10.1186/s12711-020-00539-5.
Paës C, Aymard P, Debrusse A-M, et al. Data set on early feed intake and growth performances of rabbits fed during the suckling period with pellets differing in diameter or compression rate using a double-choice testing design. Data Brief. 2020;29:105196. doi:10.1016/j.dib.2020.105196.
Grimm P, Combes S, Pascal G, Cauquil L, Julliand V. Dietary composition and yeast/microalgae combination supplementation modulate the microbial ecosystem in the caecum, colon and faeces of horses. Br J Nutr. 2020;123(4):372-382. doi:10.1017/S0007114519002824.
Penadés M, Arnau-Bonachera A, Selva L, et al. Early deviations in performance, metabolic and immunological indicators affect stayability in rabbit females. Animal. 2020;14(4):780-789. doi:10.1017/S1751731119002489.
Thépault A, Roulleau X, Loiseau P, et al. Effect of Litter Treatment on in Broilers and on Cecal Microbiota. Pathogens. 2020;9(5). doi:10.3390/pathogens9050333.
Aguilar I, Fernandez EN, Blasco A, Ravagnolo O, Legarra A. Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP. J Anim Breed Genet. 2020. doi:10.1111/jbg.12470.
Mendowski S, Chapoutot P, Chesneau G, et al. Effects of pretreatment with reducing sugars or an enzymatic cocktail before extrusion of fava bean on nitrogen metabolism and performance of dairy cows. J Dairy Sci. 2020;103(1):396-409. doi:10.3168/jds.2019-17286.
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.
Lerch S, De La Torre A, Huau C, et al. Estimation of dairy goat body composition: A direct calibration and comparison of eight methods. Methods. 2020. doi:10.1016/j.ymeth.2020.06.014.
Arnal M, Larroque H, Leclerc H, Ducrocq V, Robert-Granié C. Estimation of genetic parameters for dairy traits and somatic cell score in the first 3 parities using a random regression test-day model in French Alpine goats. J Dairy Sci. 2020;103(5):4517-4531. doi:10.3168/jds.2019-17465.
Granado-Tajada I, Legarra A, Ugarte E. Exploring the inclusion of genomic information and metafounders in Latxa dairy sheep genetic evaluations. J Dairy Sci. 2020;103(7):6346-6353. doi:10.3168/jds.2019-18033.
Dugué C, Prunier A, Mercat MJ, Monziols M, Blanchet B, Larzul C. Genetic determinism of boar taint and relationship with growth traits, meat quality and lesions. Animal. 2020;14(7):1333-1341. doi:10.1017/S1751731120000105.
Hazard D, Macé T, Kempeneers A, et al. Genetic parameters estimates for ewes' behavioural reactivity towards their litter after lambing. J Anim Breed Genet. 2020. doi:10.1111/jbg.12474.
Shrestha M, Garreau H, Balmisse E, et al. Genetic parameters of resistance to pasteurellosis using novel response traits in rabbits. Genet Sel Evol. 2020;52(1):34. doi:10.1186/s12711-020-00552-8.
Talouarn E, Bardou P, Palhière I, et al. Genome wide association analysis on semen volume and milk yield using different strategies of imputation to whole genome sequence in French dairy goats. BMC Genet. 2020;21(1):19. doi:10.1186/s12863-020-0826-9.
Bovo S, Ribani A, Muñoz M, et al. Genome-wide detection of copy number variants in European autochthonous and commercial pig breeds by whole-genome sequencing of DNA pools identified breed-characterising copy number states. Anim Genet. 2020;51(4):541-556. doi:10.1111/age.12954.
Chantepie L, Bodin L, Sarry J, et al. Genome-Wide Identification of a Regulatory Mutation in BMP15 Controlling Prolificacy in Sheep. Front Genet. 2020;11:585. doi:10.3389/fgene.2020.00585.
Beaumont M, Paës C, Mussard E, et al. Gut microbiota derived metabolites contribute to intestinal barrier maturation at the suckling-to-weaning transition. Gut Microbes. 2020:1-19. doi:10.1080/19490976.2020.1747335.
Alassane-Kpembi I, Canlet C, Tremblay-Franco M, et al. H-NMR metabolomics response to a realistic diet contamination with the mycotoxin deoxynivalenol: Effect of probiotics supplementation. Food Chem Toxicol. 2020;138:111222. doi:10.1016/j.fct.2020.111222.
Granado-Tajada I, Rodríguez-Ramilo ST, Legarra A, Ugarte E. Inbreeding, effective population size, and coancestry in the Latxa dairy sheep breed. J Dairy Sci. 2020;103(6):5215-5226. doi:10.3168/jds.2019-17743.