Found 1055 results
Warren WC, Hillier LW, Tomlinson C, et al. A New Chicken Genome Assembly Provides Insight into Avian Genome Structure . G3-Genes Genomes Genetics. 2017;7(1):109-117.
Dou S, Villa-Vialaneix N, Liaubet L, et al. (NMR)-N-1H-Based metabolomic profiling method to develop plasma biomarkers for sensitivity to chronic heat stress in growing pigs. Plos One. 2017;12(11):Non Paginé.
Legendre H, Hoste H, Gidenne T. Nutritive value and anthelmintic effect of sainfoin pellets fed to experimentally infected growing rabbits. Animal. 2017;11(9):1464-1471. doi:10.1017/S1751731117000209.
Vitezica ZG, Legarra A, Toro MA, Varona L. Orthogonal estimates of variances for additive, dominance, and epistatic effects in populations. Genetics. 2017;206(3):1297-1307.
Fernández EN, Legarra A, Martínez R, Sánchez JP, Baselga M. Pedigree-based estimation of covariance between dominance deviations and additive genetic effects in closed rabbit lines considering inbreeding and using a computationally simpler equivalent model. J Anim Breed Genet. 2017;134(3):184-195. doi:10.1111/jbg.12267.
Manfredi E, Tusell L, Vitezica ZG. Prediction of complex traits: Conciliating genetics and statistics. J Anim Breed Genet. 2017;134(3):178-183. doi:10.1111/jbg.12269.
Ferlay A, Bernard L, Meynadier A, Malpuech-Brugère C. Production of trans and conjugated fatty acids in dairy ruminants and their putative effects on human health: A review. Biochimie. 2017;141:107-120. doi:10.1016/j.biochi.2017.08.006.
Gandar A, Laffaille P, Marty-Gasset N, Viala D, Molette C, Jean S. Proteome response of fish under multiple stress exposure: Effects of pesticide mixtures and temperature increase. Aquat Toxicol. 2017;184:61-77. doi:10.1016/j.aquatox.2017.01.004.
Huang Y, Marden JP, Benchaar C, Julien C, Auclair E, Bayourthe C. Quantitative Analysis of the Relationship between Ruminal Redox Potential and pH in Dairy Cattle: Influence of Dietary Characteristics. Agricultural Sciences. 2017;8(7):616-630.
Kadi SA, Mouhous A, Djellal F, Gidenne T. Replacement of barley grains and dehydrated alfalfa by Sulla Hay (Hedysarum flexuosum) and common reed leaves (Phragmites australis) in fattening rabbits diet. Journal of Fundamental and Applied Sciences. 2017;9(1):13-22.
Fernández EN, Sánchez JP, Martínez R, Legarra A, Baselga M. Role of inbreeding depression, non-inbred dominance deviations and random year-season effect in genetic trends for prolificacy in closed rabbit lines. J Anim Breed Genet. 2017;134(6):441-452. doi:10.1111/jbg.12284.
Enjalbert F, Combes S, Zened A, Meynadier A. Rumen microbiota and dietary fat : a mutual shaping. Journal of Applied Microbiology. 2017;123(4):782-797.
Chergui N, Mormède P, Foury A, Khammar F, Amirat Z. Seasonal effects on plasma cortisol concentrations in the Bedouin buck: circadian studies and response to ACTH. Animal. 2017;11(3):445-451. doi:10.1017/S1751731116001671.
Gilbert H, Billon Y, Brossard L, et al. Sélection pour la consommation alimentaire moyenne journalière résiduelle chez le porc : impacts sur les caractères et défis pour la filière. . INRA Productions Animales. 2017;30(5):439-453.
Fustier M-A, Brandenburg J-T, Boitard S, et al. Signatures of local adaptation in lowland and highland teosintes from whole-genome sequencing of pooled samples. Mol Ecol. 2017;26(10):2738-2756. doi:10.1111/mec.14082.
Perez-Rodriguez P, Crossa J, Rutkoski J, et al. Single-Step Genomic and Pedigree Genotype x Environment Interaction Models for Predicting Wheat Lines in International Environments. Plant Genome. 2017;10(2):Non paginé.
Knudsen C, Combes S, Briens C, et al. Substituting starch with digestible fiber does not impact on health status or growth in restricted fed rabbits. Animal Feed Science and Technology. 2017;226:152-161.
Badouin H, Gouzy J, Grassa CJ, et al. The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Nature. 2017;546(7656):148-152. doi:10.1038/nature22380.
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.
Xiang T, Christensen OF, Legarra A. Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders. J Anim Sci. 2017;95(4):1472-1480. doi:10.2527/jas.2016.1155.
Terenina E, Sautron V, Ydier C, et al. Time course study of the response to LPS targeting the pig immune gene networks. BMC Genomics. 2017;18(1):988. doi:10.1186/s12864-017-4363-5.
Carillier-Jacquin C, Larroque H, Granié R. Toward genomic selection in dairy goats. INRA Productions Animales. 2017;30(1):19-29.
Gondret F, Vincent A, Houée-Bigot M, et al. A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs. BMC Genomics. 2017;18(1):244. doi:10.1186/s12864-017-3639-0.
Wilkesman J, Padrón MFernanda, Kurz L, Rémignon H. Two-Dimensional Zymography of Proteases from Steatotic Duck Liver. Methods Mol Biol. 2017;1626:157-166. doi:10.1007/978-1-4939-7111-4_14.
Raoul J, Swan AA, Elsen J-M. Using a very low-density SNP panel for genomic selection in a breeding program for sheep. Genet Sel Evol. 2017;49(1):76. doi:10.1186/s12711-017-0351-0.