ArticleFrontiers in genetics2020
Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Efficiency of indirect selection in sorghum breeding for target production environments in moisture deficit areas of Ethiopia.Scientific reports · 2026Article
- Genetic connectedness and genotype-by-environment interaction in a maternal pig line across countries.Journal of animal science · 2026Article
- Derivation of Economic Values for Breeding Objective Traits of Chinese Holstein Dairy Cows Using a Bio-Economic Model.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Genetic improvement and genomic resources of important cyprinid species: status and future perspectives for sustainable production.Frontiers in genetics · 2024Review
- Assessing Genetic Variation amongPlants (Basel, Switzerland) · 2023Article
- Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.PloS one · 2023Article
- A simulation-based assessment of the efficiency of QTL mapping under environment and genotype x environment interaction effects.PloS one · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genotype × environment interaction (G × E) is of increasing importance for dairy cattle breeders due to international multiple-environment selection of animals as well as the differentiation of production environments within countries. This theoretical simulation study tested the hypothesis that genomic selection (GS) breeding programs realize larger genetic benefits by cooperation in the presence of G × E than conventional pedigree-based selection (PS) breeding programs. We simulated two breeding programs each with their own cattle population and environment. Two populations had either equal or unequal population sizes. Selection of sires was done either across environments (cooperative) or within their own environment (independent). Four scenarios, (GS/PS) × (cooperative/independent), were performed. The genetic correlation (
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