ArticleFrontiers in genetics2016
Genomic Selection Improves Response to Selection in Resilience by Exploiting Genotype by Environment Interactions.
Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Review and Meta-Analysis of Genotype by Environment Interaction in Commercial Shrimp Breeding.Genes · 2024Pooled it
- Effects of Expected Progeny Difference and Feeding Systems on Carcass Characteristics in Hanwoo Steers.Animals : an open access journal from MDPI · 2026Article
- Multi-trait GWAS of reaction norm parameters reveals environment-responsive loci influencing reproductive performance in heifers.Journal of animal science and biotechnology · 2026Article
- Genotype-By-Environment Interaction for Scrotal Circumference in Young Nellore Bulls Under Pasture and Feedlot Conditions and Its Correlation With Days to Calving.Animal genetics · 2026Article
- The impacts of prenatal drought and heat stress on genetic parameter estimates for birth and weaning weights in Namibian Simmentaler and Simbra cattle.Journal of animal science · 2026Article
- Genetic connectedness and genotype-by-environment interaction in a maternal pig line across countries.Journal of animal science · 2026Article
- Genomic Prediction for Growth-Related Traits in Golden Pompano (Evolutionary applications · 2025Article
- Evaluating genomic selection and speed breeding for Fusarium head blight resistance in wheat using stochastic simulations.Molecular breeding : new strategies in plant improvement · 2025Article
- Enhancing Across-Population Genomic Prediction for Maize Hybrids.Plants (Basel, Switzerland) · 2024Article
- Investigating genotype by environment interaction for beef cattle fertility traits in commercial herds in northern Australia with multi-trait analysis.Genetics, selection, evolution : GSE · 2024Article
- Unravelling the genetic variability of host resilience to endo- and ectoparasites in Nellore commercial herds.Genetics, selection, evolution : GSE · 2023Article
- Polyploidization and genomic selection integration for grapevine breeding: a perspective.Frontiers in plant science · 2023Review
- Exploring the value of genomic predictions to simultaneously improve production potential and resilience of farmed animals.Frontiers in genetics · 2023Article
- Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models.The plant genome · 2022Article
- Animal board invited review: Widespread adoption of genetic technologies is key to sustainable expansion of global aquaculture.Animal : an international journal of animal bioscience · 2022Review
- Genomic analysis of the slope of the reaction norm for body weight in Australian sheep.Genetics, selection, evolution : GSE · 2022Article
- Environmental variation effects fertility in tropical beef cattle.Translational animal science · 2022Article
- Genotype by Environment Interaction and Selection Response for Milk Yield Traits and Conformation in a Local Cattle Breed Using a Reaction Norm Approach.Animals : an open access journal from MDPI · 2022Article
- Sustainable Intensification of Beef Production in the Tropics: The Role of Genetically Improving Sexual Precocity of Heifers.Animals : an open access journal from MDPI · 2022Review
- Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022Article
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Authors and funding
1 author.
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Abstract
Genotype by environment interactions (GxE) are very common in livestock and hamper genetic improvement. On the other hand, GxE is a source of genetic variation: genetic variation in response to environment, e.g., environmental perturbations such as heat stress or disease. In livestock breeding, there is tendency to ignore GxE because of increased complexity of models for genetic evaluations and lack of accuracy in extreme environments. GxE, however, creates opportunities to increase resilience of animals toward environmental perturbations. The main aim of the paper is to investigate to which extent GxE can be exploited with traditional and genomic selection methods. Furthermore, we investigated the benefit of reaction norm (RN) models compared to conventional methods ignoring GxE. The questions were addressed with selection index theory. GxE was modeled according to a linear RN model in which the environmental gradient is the contemporary group mean. Economic values were based on linear and non-linear profit equations. Accuracies of environment-specific (G)EBV were highest in intermediate environments and lowest in extreme environments. RN models had higher accuracies of (G)EBV in extreme environments than conventional models ignoring GxE. Genomic selection always resulted in higher response to selection in all environments than sib or progeny testing schemes. The increase in response was with genomic selection between 9 and 140% compared to sib testing and between 11 and 114% compared to progeny testing when the reference population consisted of 1 million animals across all environments. When the aim was to decrease environmental sensitivity, the response in slope of the RN model with genomic selection was between 1.09 and 319 times larger than with sib or progeny testing and in the right direction in contrast to sib and progeny testing that still increased environmental sensitivity. This shows that genomic selection with large reference populations offers great opportunities to exploit GxE to increase resilience of animals.
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