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1000 Titel
  • 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
1000 Autor/in
  1. Wu, Po-Ya |
  2. Stich, Benjamin |
  3. Hartje, Stefanie |
  4. Muders, Katja |
  5. Prigge, Vanessa |
  6. Van Inghelandt, Delphine |
1000 Erscheinungsjahr 2025
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2025-02-18
1000 Erschienen in
1000 Quellenangabe
  • 18(1):e70000
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2025
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1002/tpg2.70000 |
  • https://pmc.ncbi.nlm.nih.gov/articles/PMC11835509/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal computer simulation
lokal Solanum tuberosum
lokal genetic variation
lokal plant breeding
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7342-2867|https://orcid.org/0000-0001-6791-8068|https://frl.publisso.de/adhoc/uri/SGFydGplLCBTdGVmYW5pZQ==|https://frl.publisso.de/adhoc/uri/TXVkZXJzLCBLYXRqYSA=|https://frl.publisso.de/adhoc/uri/UHJpZ2dlLCBWYW5lc3Nh|https://orcid.org/0000-0002-2819-843X
1000 Label
1000 Förderer
  1. Bundesministerium für Ernährung und Landwirtschaft |
1000 Fördernummer
  1. 22011818;2222NR078A
1000 Förderprogramm
  1. PotatoTools;PotatoPredict
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Ernährung und Landwirtschaft |
    1000 Förderprogramm PotatoTools;PotatoPredict
    1000 Fördernummer 22011818;2222NR078A
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6510978.rdf
1000 Erstellt am 2025-04-10T15:30:22.984+0200
1000 Erstellt von 325
1000 beschreibt frl:6510978
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2025-09-12T15:06:41.724+0200
1000 Objekt bearb. Wed Jun 04 11:17:26 CEST 2025
1000 Vgl. frl:6510978
1000 Oai Id
  1. oai:frl.publisso.de:frl:6510978 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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