Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain

Abstract Different cross‐selection (CS) methods incorporating genomic selection (GS) have been used in diploid species to improve long‐term genetic gain and preserve diversity. However, their application to heterozygous and autotetraploid crops such as potato (Solanum tuberosum L.) is lacking so far...

Full description

Saved in:
Bibliographic Details
Main Authors: Po‐Ya Wu, Benjamin Stich, Stefanie Hartje, Katja Muders, Vanessa Prigge, Delphine Van Inghelandt
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:The Plant Genome
Online Access:https://doi.org/10.1002/tpg2.70000
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849340337345003520
author Po‐Ya Wu
Benjamin Stich
Stefanie Hartje
Katja Muders
Vanessa Prigge
Delphine Van Inghelandt
author_facet Po‐Ya Wu
Benjamin Stich
Stefanie Hartje
Katja Muders
Vanessa Prigge
Delphine Van Inghelandt
author_sort Po‐Ya Wu
collection DOAJ
description Abstract Different cross‐selection (CS) methods incorporating genomic selection (GS) have been used in diploid species to improve long‐term genetic gain and preserve diversity. However, their application to heterozygous and autotetraploid crops such as potato (Solanum tuberosum L.) is lacking so far. The objectives of our study were to (i) assess the effects of different CS methods and the incorporation of GS and genetic variability monitoring on both short‐ and long‐term genetic gains compared to strategies using phenotypic selection (PS); (ii) evaluate the changes in genetic variability and the efficiency of converting diversity into genetic gain across different CS methods; and (iii) investigate the interaction effects between different genetic architectures and CS methods on long‐term genetic gain. In our simulation results, implementing GS with optimal selected proportions had increased short‐ and long‐term genetic gain compared to any PS strategy. The CS method considering additive and dominance effects to predict progeny mean based on simulated progenies (MEGV‐O) achieved the highest long‐term genetic gain among the assessed mean‐based CS methods. Compared to MEGV‐O and usefulness criteria (UC), the linear combination of UC and genome‐wide diversity (called EUCD) maintained the same level of genetic gain but resulted in higher diversity and a lower number of fixed QTLs. Moreover, EUCD had a relatively high degree of efficiency in converting diversity into genetic gain. However, choosing the most appropriate weight to account for diversity in EUCD depends on the genetic architecture of the target trait and the breeder's objectives. Our results provide breeders with concrete methods to improve their potato breeding programs.
format Article
id doaj-art-5458dde0a7ca4733b18a843de7490ead
institution Kabale University
issn 1940-3372
language English
publishDate 2025-03-01
publisher Wiley
record_format Article
series The Plant Genome
spelling doaj-art-5458dde0a7ca4733b18a843de7490ead2025-08-20T03:43:57ZengWileyThe Plant Genome1940-33722025-03-01181n/an/a10.1002/tpg2.70000Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gainPo‐Ya Wu0Benjamin Stich1Stefanie Hartje2Katja Muders3Vanessa Prigge4Delphine Van Inghelandt5Institute of Quantitative Genetics and Genomics of PlantsHeinrich Heine UniversityDüsseldorfGermanyInstitute of Quantitative Genetics and Genomics of PlantsHeinrich Heine UniversityDüsseldorfGermanyBöhm‐Nordkartoffel Agrarproduktion GmbH & Co. OHGLüneburgGermanyNORIKA GmbHSanitzGermanySaKa Pflanzenzucht GmbH & Co. KGWindebyGermanyInstitute of Quantitative Genetics and Genomics of PlantsHeinrich Heine UniversityDüsseldorfGermanyAbstract Different cross‐selection (CS) methods incorporating genomic selection (GS) have been used in diploid species to improve long‐term genetic gain and preserve diversity. However, their application to heterozygous and autotetraploid crops such as potato (Solanum tuberosum L.) is lacking so far. The objectives of our study were to (i) assess the effects of different CS methods and the incorporation of GS and genetic variability monitoring on both short‐ and long‐term genetic gains compared to strategies using phenotypic selection (PS); (ii) evaluate the changes in genetic variability and the efficiency of converting diversity into genetic gain across different CS methods; and (iii) investigate the interaction effects between different genetic architectures and CS methods on long‐term genetic gain. In our simulation results, implementing GS with optimal selected proportions had increased short‐ and long‐term genetic gain compared to any PS strategy. The CS method considering additive and dominance effects to predict progeny mean based on simulated progenies (MEGV‐O) achieved the highest long‐term genetic gain among the assessed mean‐based CS methods. Compared to MEGV‐O and usefulness criteria (UC), the linear combination of UC and genome‐wide diversity (called EUCD) maintained the same level of genetic gain but resulted in higher diversity and a lower number of fixed QTLs. Moreover, EUCD had a relatively high degree of efficiency in converting diversity into genetic gain. However, choosing the most appropriate weight to account for diversity in EUCD depends on the genetic architecture of the target trait and the breeder's objectives. Our results provide breeders with concrete methods to improve their potato breeding programs.https://doi.org/10.1002/tpg2.70000
spellingShingle Po‐Ya Wu
Benjamin Stich
Stefanie Hartje
Katja Muders
Vanessa Prigge
Delphine Van Inghelandt
Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
The Plant Genome
title Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
title_full Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
title_fullStr Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
title_full_unstemmed Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
title_short Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross‐selection method on long‐term genetic gain
title_sort optimal implementation of genomic selection in clone breeding programs exemplified in potato ii effect of selection strategy and cross selection method on long term genetic gain
url https://doi.org/10.1002/tpg2.70000
work_keys_str_mv AT poyawu optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain
AT benjaminstich optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain
AT stefaniehartje optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain
AT katjamuders optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain
AT vanessaprigge optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain
AT delphinevaninghelandt optimalimplementationofgenomicselectioninclonebreedingprogramsexemplifiedinpotatoiieffectofselectionstrategyandcrossselectionmethodonlongtermgeneticgain