Found 1370 results
Colli L, Milanesi M, Talenti A, et al. Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes. Genet Sel Evol. 2018;50(1):58. doi:10.1186/s12711-018-0422-x.
Xiang T, Christensen OFredslund, Vitezica ZGladis, Legarra A. Genomic Model with Correlation Between Additive and Dominance Effects. Genetics. 2018;209(3):711-723. doi:10.1534/genetics.118.301015.
Varona L, Legarra A, Herring W, Vitezica ZG. Genomic selection models for directional dominance: an example for litter size in pigs. Genet Sel Evol. 2018;50(1):1. doi:10.1186/s12711-018-0374-1.
Elsen J-M. Genomic selection-the final step or another step in an endless race?. J Anim Breed Genet. 2018;135(2):95-96. doi:10.1111/jbg.12316.
Legarra A, Ricard A, Varona L. GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait. G3 (Bethesda). 2018;8(7):2301-2308. doi:10.1534/g3.118.200336.
Rainard P, Gitton C, Chaumeil T, et al. Host factors determine the evolution of infection with Staphylococcus aureus to gangrenous mastitis in goats. Vet Res. 2018;49(1):72. doi:10.1186/s13567-018-0564-4.
Le Bihan-Duval E, Hennequet-Antier C, Berri C, et al. Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL. BMC Genomics. 2018;19(1):294. doi:10.1186/s12864-018-4690-1.
Rodríguez W, Mazet O, Grusea S, et al. The IICR and the non-stationary structured coalescent: towards demographic inference with arbitrary changes in population structure. Heredity (Edinb). 2018;121(6):663-678. doi:10.1038/s41437-018-0148-0.
Chikhi L, Rodríguez W, Grusea S, Santos P, Boitard S, Mazet O. The IICR (inverse instantaneous coalescence rate) as a summary of genomic diversity: insights into demographic inference and model choice. Heredity (Edinb). 2018;120(1):13-24. doi:10.1038/s41437-017-0005-6.
Alanoshahr FF, Rafat SA, Alanoshahr RF, Alijani S, Robert-Granié C. The Impact of Different Genetic Architectures on Accuracy of Genomic Selection Using Three Bayesian Methods. Iranian Journal of Applied Animal Science. 2018;8(1):53-59.
Chatelet A, Gondret F, Merlot E, Gilbert H, Friggens NC, Le Floc'h N. Impact of hygiene of housing conditions on performance and health of two pig genetic lines divergent for residual feed intake. Animal. 2018;12(2):350-358. doi:10.1017/S1751731117001379.
Eynard SE, Windig JJ, Hulsegge I, Hiemstra S-J, Calus MPL. The impact of using old germplasm on genetic merit and diversity-A cattle breed case study. J Anim Breed Genet. 2018. doi:10.1111/jbg.12333.
Tamioso PR, Molento CFM, Boivin X, et al. Inducing positive emotions: Behavioural and cardiac responses to human and brushing in ewes selected for high vs low social reactivity. Applied Animal Behaviour Science. 2018;208:56-65.
Lemaître J-F, Cheynel L, Douhard F, et al. The influence of early-life allocation to antlers on male performance during adulthood: Evidence from contrasted populations of a large herbivore. J Anim Ecol. 2018;87(4):921-932. doi:10.1111/1365-2656.12833.
Devailly G, Joshi A. Insights into mammalian transcription control by systematic analysis of ChIP sequencing data. BMC Bioinformatics. 2018;19(Suppl 14):409. doi:10.1186/s12859-018-2377-x.
Voillet V, San Cristobal M, Pere MC, et al. Integrated analysis of proteomic and transcriptomic data highlights late fetal muscle maturation process. Molecular and Cellular Proteomics. 2018;17(4):672-693.
Mary N, Ferchaud S, Barasc H, et al. Intraindividual Variation of Meiotic Recombination Parameters in Pig Spermatocytes: A Preliminary Study. Cytogenet Genome Res. 2018;154(4):229-233. doi:10.1159/000488789.
Rainard P, Foucras G, Boichard D, Rupp R. Invited review : Low milk somatic cell count and susceptibility to mastitis. J Dairy Sci. 2018;101(8):6703-6714. doi:10.3168/jds.2018-14593.
Garreau H, Gunia M. La Génomique du Lapin : Avancées, applications et perspectives. INRA Productions Animales. 2018;31(1):13-22.
David I, Sánchez J-P, Piles M. Longitudinal analysis of direct and indirect effects on average daily gain in rabbits using a structured antedependence model. Genet Sel Evol. 2018;50(1):25. doi:10.1186/s12711-018-0395-9.
Arnau-Bonachera A, Savietto D, Pascual JJ. Long-term implications of feed energy source in different genetic types of reproductive rabbit females: III. Fitness and productivity. Animal. 2018;12(9):1886-1894. doi:10.1017/S1751731117003305.
Pampouille E, Berri C, Boitard S, et al. Mapping QTL for white striping in relation to breast muscle yield and meat quality traits in broiler chickens. BMC Genomics. 2018;19(1):202. doi:10.1186/s12864-018-4598-9.
Mary N, Villagómez DAF, Revay T, et al. Meiotic Synapsis and Gene Expression Altered by a Balanced Y-Autosome Reciprocal Translocation in an Azoospermic Pig. Sex Dev. 2018;12(5). doi:10.1159/000491804.
Bouwman AC, Daetwyler HD, Chamberlain AJ, et al. Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nat Genet. 2018;50(3):362-367. doi:10.1038/s41588-018-0056-5.
Nakov D, Hristov S, Stankovic B, et al. Methodologies for Assessing Disease Tolerance in Pigs. Front Vet Sci. 2018;5:329. doi:10.3389/fvets.2018.00329.