Found 27 results
Filters: Author is Gilbert, Hélène [Clear All Filters]
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..
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..
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..
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.
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.
New residual feed intake criterion for longitudinal data. Genet Sel Evol. 2021;53(1):53. doi:10.1186/s12711-021-00641-2..
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..
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.
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..
Inclusive inheritance for residual feed intake in pigs and rabbits. J Anim Breed Genet. 2020. doi:10.1111/jbg.12494..
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..
Prospects for sustainability of pig production in relation to climate change and novel feed resources. J Sci Food Agric. 2020. doi:10.1002/jsfa.10338.
Effect of chronic and acute heat challenges on fecal microbiota composition, production, and thermoregulation traits in growing pigs1,2. J Anim Sci. 2019;97(9):3845-3858. doi:10.1093/jas/skz222.
Estimating direct genetic and maternal effects affecting rabbit growth and feed efficiency with a factorial design. J Anim Breed Genet. 2019;136(3):168-173. doi:10.1111/jbg.12380.
Genotype by environment interactions for performance and thermoregulation responses in growing pigs1,2. J Anim Sci. 2019;97(9):3699-3713. doi:10.1093/jas/skz245.
Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs. BMC Genomics. 2019;20(1):659. doi:10.1186/s12864-019-6010-9..
Responses to weaning in two pig lines divergently selected for residual feed intake depending on diet. J Anim Sci. 2019;97(1):43-54. doi:10.1093/jas/sky416..
Fecal microbial composition associated with variation in feed efficiency in pigs depends on diet and sex. J Anim Sci. 2018;96(4):1405-1418. doi:10.1093/jas/sky060.
Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case. Front Genet. 2018;9:467. doi:10.3389/fgene.2018.00467..
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.
A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality. Genetics, selection, evolution : GSE. 2014;46:12. doi:10.1186/1297-9686-46-12.
Thermoregulatory responses during thermal acclimation in pigs divergently selected for residual feed intake. Int J Biometeorol. 2014;58(7):1545-57. doi:10.1007/s00484-013-0759-3.
Genome-wide association studies identify two novel BMP15 mutations responsible for an atypical hyperprolificacy phenotype in sheep. PLoS Genet. 2013;9(4):e1003482. doi:10.1371/journal.pgen.1003482.
Fine mapping of complex traits in non-model species: using next generation sequencing and advanced intercross lines in Japanese quail. BMC Genomics. 2012;13:551. doi:10.1186/1471-2164-13-551.
A locally congenic backcross design in pig: a new regional fine QTL mapping approach miming congenic strains used in mouse. BMC Genet. 2011;12:6. doi:10.1186/1471-2156-12-6.