ArticleGenetics, selection, evolution : GSE2015
Response and inbreeding from a genomic selection experiment in layer chickens.
Article in Genetics, selection, evolution : GSE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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46 citing papers in PubMed, 95 citations in OpenAlex.
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- Integrated Analysis of SNPs and Structural Variations via High-depth Whole-genome Sequencing Reveals the Genetic Architecture and Optimizes Genomic Prediction in Chickens.Poultry science · 2026Article
- First high-density linkage map based on GBS derived genome wide SNP markers in Labeo catla (Hamilton, 1822).Scientific data · 2026Article
- Application of optimal contribution selection, trait distribution management, and group selection in layer chickens.Genetics, selection, evolution : GSE · 2026Article
- Molecular Mechanisms and Regulatory Factors Governing Feed Utilization Efficiency in Laying Hens: Insights for Sustainable Poultry Production and Breeding Optimization.International journal of molecular sciences · 2025Review
- Genetic Strategies for Enhancing Rooster Fertility in Tropical and Humid Climates: Challenges and Opportunities.Animals : an open access journal from MDPI · 2025Review
- Analysis of different genotyping and selection strategies in laying hen breeding programs.Genetics, selection, evolution : GSE · 2025Article
- Genomic selection optimization in blueberry: Data-driven methods for marker and training population design.The plant genome · 2024Article
- Genetic diversity analysis of Inner Mongolia cashmere goats (Erlangshan subtype) based on whole genome re-sequencing.BMC genomics · 2024Article
- Genome-Wide Association Analysis and Genetic Parameters for Egg Production Traits in Peking Ducks.Animals : an open access journal from MDPI · 2024Article
- Genomic Selection for Weaning Weight in Alpine Merino Sheep Based on GWAS Prior Marker Information.Animals : an open access journal from MDPI · 2024Article
- Evolutionary computing to assemble standing genetic diversity and achieve long-term genetic gain.The plant genome · 2024Article
- Genomic Selection for Live Weight in the 14th Month in Alpine Merino Sheep Combining GWAS Information.Animals : an open access journal from MDPI · 2023Article
- Runs of homozygosity and signatures of selection for number of oocytes and embryos in the Gir Indicine cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- Genetic diversity and genome-scale population structure of wild Indian major carp,Frontiers in genetics · 2023Article
- Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study.Frontiers in genetics · 2023Article
- Using Genomic Selection to Develop Performance-Based Restoration Plant Materials.International journal of molecular sciences · 2022Review
- Genome-wide association study and genomic prediction for yield and grain quality traits of hybrid rice.Molecular breeding : new strategies in plant improvement · 2022Article
- Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022Review
- Integrated model for genomic prediction under additive and non-additive genetic architecture.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenomic selection (GS) using estimated breeding values (GS-EBV) based on dense marker data is a promising approach for genetic improvement. A simulation study was undertaken to illustrate the opportunities offered by GS for designing breeding programs. It consisted of a selection program for a sex-limited trait in layer chickens, which was developed by deterministic predictions under different scenarios. Later, one of the possible schemes was implemented in a real population of layer chicken.
methodsIn the simulation, the aim was to double the response to selection per year by reducing the generation interval by 50 %, while maintaining the same rate of inbreeding per year. We found that GS with retraining could achieve the set objectives while requiring 75 % fewer reared birds and 82 % fewer phenotyped birds per year. A multi-trait GS scenario was subsequently implemented in a real population of brown egg laying hens. The population was split into two sub-lines, one was submitted to conventional phenotypic selection, and one was selected based on genomic prediction. At the end of the 3-year experiment, the two sub-lines were compared for multiple performance traits that are relevant for commercial egg production.
resultsBirds that were selected based on genomic prediction outperformed those that were submitted to conventional selection for most of the 16 traits that were included in the index used for selection. However, although the two programs were designed to achieve the same rate of inbreeding per year, the realized inbreeding per year assessed from pedigree was higher in the genomic selected line than in the conventionally selected line.
conclusionsThe results demonstrate that GS is a promising alternative to conventional breeding for genetic improvement of layer chickens.
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