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Publications

Found 1231 results
2020
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.
Beaumont M, Cauquil L, Bertide A, et al. Gut Microbiota-Derived Metabolite Signature in Suckling and Weaned Piglets. J Proteome Res. 2020. doi:10.1021/acs.jproteome.0c00745.
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.
Déru V, Bouquet A, Hassenfratz C, Blanchet B, Carillier-Jacquin C, Gilbert H. Impact of a high-fibre diet on genetic parameters of production traits in growing pigs. Animal. 2020:1-10. doi:10.1017/S1751731120001275.
Aliakbari A, Delpuech E, Labrune Y, Riquet J, Gilbert H. The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs. Genet Sel Evol. 2020;52(1):57. doi:10.1186/s12711-020-00576-0.
Granado-Tajada I, Rodriguez-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.
David I, Aliakbari A, Déru V, Garreau H, Gilbert H, Ricard A. Inclusive inheritance for residual feed intake in pigs and rabbits. J Anim Breed Genet. 2020. doi:10.1111/jbg.12494.
Zhang Q, Degen A, Hao L, et al. An increase in dietary lipid content from different forms of double-low rapeseed reduces enteric methane emission in Datong yaks on the Qinghai-Tibetan Plateau. Anim Sci J. 2020;91(1):e13489. doi:10.1111/asj.13489.
Robic A, Demars J, Kühn C. In-Depth Analysis Reveals Production of Circular RNAs from Non-Coding Sequences. Cells. 2020;9(8). doi:10.3390/cells9081806.
Litt J, Leterrier C, Savietto D, Fortun-Lamothe L. Influence of dietary strategy on progression of health and behaviour in mule ducks reared for fatty liver production. Animal. 2020;14(6):1258-1269. doi:10.1017/S1751731119003367.
Paës C, Fortun-Lamothe L, Coureaud G, et al. Insights into suckling rabbit feeding behaviour: acceptability of different creep feed presentations and attractiveness for sensory feed additives. Animal. 2020:1-9. doi:10.1017/S1751731120000038.
Jehl F, Muret K, Bernard M, et al. An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Sci Rep. 2020;10(1):20457. doi:10.1038/s41598-020-77586-x.
Tusell L, Bergsma R, Gilbert H, Gianola D, Piles M. Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms. Front Genet. 2020;11:567818. doi:10.3389/fgene.2020.567818.
Lefort G, Servien R, Quesnel H, et al. The maturity in fetal pigs using a multi-fluid metabolomic approach. Sci Rep. 2020;10(1):19912. doi:10.1038/s41598-020-76709-8.
Grandhaye J, Douard V, Rodriguez-Mateos A, et al. Microbiota Changes Due to Grape Seed Extract Diet Improved Intestinal Homeostasis and Decreased Fatness in Parental Broiler Hens. Microorganisms. 2020;8(8). doi:10.3390/microorganisms8081141.
Bazile J, Jaffrézic F, Dehais P, et al. Molecular signatures of muscle growth and composition deciphered by the meta-analysis of age-related public transcriptomics data. Physiol Genomics. 2020;52(8):322-332. doi:10.1152/physiolgenomics.00020.2020.
Klopp C, Cabau C, Lasalle A, Di Landro S, Greif G, Vizziano-Cantonnet D. Multi-tissue Siberian sturgeon RNA sequencing data. Data Brief. 2020;31:105820. doi:10.1016/j.dib.2020.105820.
Rodriguez-Ramilo ST, Reverter A, Sánchez JP, et al. Networks of inbreeding coefficients in a selected population of rabbits. J Anim Breed Genet. 2020. doi:10.1111/jbg.12500.
Calvo JHugo, Chantepie L, Serrano M, et al. A new allele in the BMP15 gene (FecX) that affects prolificacy co-segregates with FecX and FecX in Rasa aragonesa sheep. Theriogenology. 2020;144:107-111. doi:10.1016/j.theriogenology.2020.01.010.
Racine C, Genet C, Bourgneuf C, et al. New anti-Müllerian hormone target genes involved in granulosa cell survival in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2020. doi:10.1210/clinem/dgaa879.
Arnaud-Haond S, Stoeckel S, Bailleul D. New insights into the population genetics of partially clonal organisms: When seagrass data meet theoretical expectations. Mol Ecol. 2020. doi:10.1111/mec.15532.
Fabre S, Chantepie L, Plisson-Petit F, et al. A novel homozygous nonsense mutation in ITGB4 gene causes epidermolysis bullosa in Mouton Vendéen sheep. Anim Genet. 2020. doi:10.1111/age.13026.
Kasper C, Ribeiro D, de Almeida AM, Larzul C, Liaubet L, Muráni E. Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs. Genes (Basel). 2020;11(8). doi:10.3390/genes11080920.
Massimino W, Davail S, Secula A, et al. Ontogeny of hepatic metabolism in mule ducks highlights different gene expression profiles between carbohydrate and lipid metabolic pathways. BMC Genomics. 2020;21(1):742. doi:10.1186/s12864-020-07093-w.
Solaymani S, Mehrgardi AAyatollahi, Esmailizadeh A, Tusell L, Momen M. Performance of pedigree and various forms of marker-derived relationship coefficients in genomic prediction and their correlations. J Anim Breed Genet. 2020. doi:10.1111/jbg.12467.

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