Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs

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 gen...

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Main Authors: Lu Cao, Huiming Liu, Han A. Mulder, Mark Henryon, Jørn Rind Thomasen, Morten Kargo, Anders Christian Sørensen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00251/full
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spelling doaj-5225ef0222ae4083af03dacdf7ba91a12020-11-25T01:43:18ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-04-011110.3389/fgene.2020.00251511626Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding ProgramsLu Cao0Huiming Liu1Han A. Mulder2Mark Henryon3Mark Henryon4Jørn Rind Thomasen5Morten Kargo6Morten Kargo7Anders Christian Sørensen8Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, DenmarkCenter for Quantitative Genetics and Genomics, Aarhus University, Tjele, DenmarkWageningen University & Research, Animal Breeding and Genomics, Wageningen, NetherlandsDanish Pig Research Centre, SEGES, Copenhagen, DenmarkSchool of Agriculture and Environment, The University of Western Australia, Crawley, WA, AustraliaVikingGenetics, Randers, DenmarkCenter for Quantitative Genetics and Genomics, Aarhus University, Tjele, DenmarkSEGES, Aarhus, DenmarkCenter for Quantitative Genetics and Genomics, Aarhus University, Tjele, DenmarkGenotype × 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 (rg) between the single breeding goal trait expressed in two environments was varied between 0.5 and 0.9. We compared scenarios for genetic gain, rate of inbreeding, proportion of selected external sires, and the split-point rg that is the lowest value of rg for long-term cooperation. Between two equal-sized populations, cooperative GS breeding programs achieved a maximum increase of 19.3% in genetic gain and a maximum reduction of 24.4% in rate of inbreeding compared to independent GS breeding programs. The increase in genetic gain and the reduction in rate of inbreeding realized by GS breeding programs with cooperation were respectively at maximum 9.7% and 24.7% higher than those realized by PS breeding programs with cooperation. Secondly, cooperative GS breeding programs allowed a slightly lower split-point rg than cooperative PS breeding programs (0.85∼0.875 vs ≥ 0.9). Between two unequal-sized populations, cooperative GS breeding programs realized higher increase in genetic gain and showed greater probability for long-term cooperation than cooperative PS breeding programs. Secondly, cooperation using GS were more beneficial to the small population while also beneficial but much less to the large population. In summary, by cooperation in the presence of G × E, GS breeding programs realize larger improvements in terms of the genetic gain and rate of inbreeding, and have greater possibility of long-term cooperation than conventional PS breeding programs. Therefore, we recommend cooperative GS breeding programs in situations with mild to moderate G × E, depending on the sizes of two populations.https://www.frontiersin.org/article/10.3389/fgene.2020.00251/fulljoint genetic evaluationacross-environment selection of siresstochastic simulationgenetic gainrate of inbreedinglong-term cooperation
collection DOAJ
language English
format Article
sources DOAJ
author Lu Cao
Huiming Liu
Han A. Mulder
Mark Henryon
Mark Henryon
Jørn Rind Thomasen
Morten Kargo
Morten Kargo
Anders Christian Sørensen
spellingShingle Lu Cao
Huiming Liu
Han A. Mulder
Mark Henryon
Mark Henryon
Jørn Rind Thomasen
Morten Kargo
Morten Kargo
Anders Christian Sørensen
Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
Frontiers in Genetics
joint genetic evaluation
across-environment selection of sires
stochastic simulation
genetic gain
rate of inbreeding
long-term cooperation
author_facet Lu Cao
Huiming Liu
Han A. Mulder
Mark Henryon
Mark Henryon
Jørn Rind Thomasen
Morten Kargo
Morten Kargo
Anders Christian Sørensen
author_sort Lu Cao
title Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
title_short Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
title_full Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
title_fullStr Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
title_full_unstemmed Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
title_sort genomic breeding programs realize larger benefits by cooperation in the presence of genotype × environment interaction than conventional breeding programs
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2020-04-01
description 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 (rg) between the single breeding goal trait expressed in two environments was varied between 0.5 and 0.9. We compared scenarios for genetic gain, rate of inbreeding, proportion of selected external sires, and the split-point rg that is the lowest value of rg for long-term cooperation. Between two equal-sized populations, cooperative GS breeding programs achieved a maximum increase of 19.3% in genetic gain and a maximum reduction of 24.4% in rate of inbreeding compared to independent GS breeding programs. The increase in genetic gain and the reduction in rate of inbreeding realized by GS breeding programs with cooperation were respectively at maximum 9.7% and 24.7% higher than those realized by PS breeding programs with cooperation. Secondly, cooperative GS breeding programs allowed a slightly lower split-point rg than cooperative PS breeding programs (0.85∼0.875 vs ≥ 0.9). Between two unequal-sized populations, cooperative GS breeding programs realized higher increase in genetic gain and showed greater probability for long-term cooperation than cooperative PS breeding programs. Secondly, cooperation using GS were more beneficial to the small population while also beneficial but much less to the large population. In summary, by cooperation in the presence of G × E, GS breeding programs realize larger improvements in terms of the genetic gain and rate of inbreeding, and have greater possibility of long-term cooperation than conventional PS breeding programs. Therefore, we recommend cooperative GS breeding programs in situations with mild to moderate G × E, depending on the sizes of two populations.
topic joint genetic evaluation
across-environment selection of sires
stochastic simulation
genetic gain
rate of inbreeding
long-term cooperation
url https://www.frontiersin.org/article/10.3389/fgene.2020.00251/full
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