Publications

Found 41 results
Filters: Author is Gilbert, Hélène  [Clear All Filters]
2024
Devailly G, Feve K, Saci S, et al. Divergent selection for feed efficiency in pigs altered the duodenum transcriptomic response to feed intake and its DNA methylation profiles. Physiol Genomics. 2024. doi:10.1152/physiolgenomics.00123.2023.
Déru V, Tiezzi F, Carillier-Jacquin C, et al. The potential of microbiota information to better predict efficiency traits in growing pigs fed a conventional and a high-fiber diet. Genet Sel Evol. 2024;56(1):8. doi:10.1186/s12711-023-00865-4.
2023
Muráni E, Gilbert H, Rauw WM. Editorial: Genotype-by-environment interaction in farm animals: from measuring to understanding. Front Genet. 2023;14:1267334. doi:10.3389/fgene.2023.1267334.
Liaubet L, Guilmineau C, Lefort G, et al. Plasma H-NMR metabolic and amino acid profiles of newborn piglets from two lines divergently selected for residual feed intake. Sci Rep. 2023;13(1):7127. doi:10.1038/s41598-023-34279-5.
2022
Mollandin F, Gilbert H, Croiseau P, Rau A. Accounting for overlapping annotations in genomic prediction models of complex traits. BMC Bioinformatics. 2022;23(1):365. doi:10.1186/s12859-022-04914-5.
Mora M, David I, Gilbert H, Rosa GJM, Sánchez JPablo, Piles M. Analysis of the causal structure of traits involved in sow lactation feed efficiency. Genet Sel Evol. 2022;54(1):53. doi:10.1186/s12711-022-00744-4.
Mohammadpanah M, Mehrgardi AAyatollahi, Gilbert H, et al. Genic and non-genic SNP contributions to additive and dominance genetic effects in purebred and crossbred pig traits. Sci Rep. 2022;12(1):3795. doi:10.1038/s41598-022-07767-3.
Demars J, Labrune Y, Iannuccelli N, et al. A genome-wide epistatic network underlies the molecular architecture of continuous color variation of body extremities. Genomics. 2022;114(3):110361. doi:10.1016/j.ygeno.2022.110361.
Déru V, Tiezzi F, Carillier-Jacquin C, et al. Gut microbiota and host genetics contribute to the phenotypic variation of digestive and feed efficiency traits in growing pigs fed a conventional and a high fiber diet. Genet Sel Evol. 2022;54(1):55. doi:10.1186/s12711-022-00742-6.
Aliakbari A, Zemb O, Cauquil L, Barilly C, Billon Y, Gilbert H. Microbiability and microbiome-wide association analyses of feed efficiency and performance traits in pigs. Genet Sel Evol. 2022;54(1):29. doi:10.1186/s12711-022-00717-7.
Poullet N, Rauw WM, Renaudeau D, et al. Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs. Sci Rep. 2022;12(1):847. doi:10.1038/s41598-021-04752-0.
David I, Ricard A, Huynh-Tran V-H, Dekkers JCM, Gilbert H. Quality of breeding value predictions from longitudinal analyses, with application to residual feed intake in pigs. Genet Sel Evol. 2022;54(1):32. doi:10.1186/s12711-022-00722-w.
2021
Messad F, Louveau I, Renaudeau D, Gilbert H, Gondret F. Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs. BMC Genomics. 2021;22(1):501. doi:10.1186/s12864-021-07843-4.
Monteiro ANTR, Brossard L, Gilbert H, Dourmad J-Y. Environmental Impacts and Their Association With Performance and Excretion Traits in Growing Pigs. Front Vet Sci. 2021;8:677857. doi:10.3389/fvets.2021.677857.
Piles M, Bergsma R, Gianola D, Gilbert H, Tusell L. Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning. Front Genet. 2021;12:611506. doi:10.3389/fgene.2021.611506.
Aliakbari A, Zemb O, Billon Y, et al. Genetic relationships between feed efficiency and gut microbiome in pig lines selected for residual feed intake. J Anim Breed Genet. 2021. doi:10.1111/jbg.12539.
Gourdine J-L, Rauw WMercedes, Gilbert H, Poullet N. The Genetics of Thermoregulation in Pigs: A Review. Front Vet Sci. 2021;8:770480. doi:10.3389/fvets.2021.770480.
Douhard F, Douhard M, Gilbert H, Monget P, Gaillard J-M, Lemaître J-F. How much energetic trade-offs limit selection? Insights from livestock and related laboratory model species. Evol Appl. 2021;14(12):2726-2749. doi:10.1111/eva.13320.
Delpuech E, Aliakbari A, Labrune Y, et al. Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency. Genet Sel Evol. 2021;53(1):49. doi:10.1186/s12711-021-00642-1.
David I, Tran V-HHuynh, Gilbert H. New residual feed intake criterion for longitudinal data. Genet Sel Evol. 2021;53(1):53. doi:10.1186/s12711-021-00641-2.
Montagne L, Gilbert H, Muller N, Le Floc'h N. Physiological response to the weaning in two pig lines divergently selected for residual feed intake. J Anim Physiol Anim Nutr (Berl). 2021. doi:10.1111/jpn.13622.
2020
Déru V, Bouquet A, Labussière E, et al. Genetics of digestive efficiency in growing pigs fed a conventional or a high-fibre diet. J Anim Breed Genet. 2020. doi:10.1111/jbg.12506.
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.
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.
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.

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