Dokument: 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
| 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 | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=69612 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20250509-123046-9 | |||||||
| Kollektion: | Publikationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
| Medientyp: | Text | |||||||
| Autoren: | Wu, Po-Ya [Autor] Stich, Benjamin [Autor] Hartje, Stefanie [Autor] Muders, Katja [Autor] Prigge, Vanessa [Autor] van Inghelandt, Delphine [Autor] | |||||||
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| Beschreibung: | 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.
Plain Language Summary A necessary step in breeding programs is the choice of new crosses for the next breeding cycle to create new varieties with improved target traits while preserving diversity. The common cross-selection (CS) methods are based on prediction of progeny mean. However, those methods are either not precise for highly heterozygous and tetraploid crops like potato or lead to a quick loss of diversity. Thus, considering dominance effects in this crop is crucial. We investigated new CS methods, among others EUCD, which combine genomic prediction-based progeny mean and genetic diversity. In our simulation results, the CS method based on progeny mean with additive and dominance effects reached higher long-term genetic gain than the one with only additive effects. Moreover, EUCD had a high genetic gain but kept a higher diversity than other CS methods. Therefore, potato breeders could use EUCD to select new crosses to increase genetic gain and address population growth and climate challenges | |||||||
| Rechtliche Vermerke: | Originalveröffentlichung:
Wu, P.-Y., Stich, B., Hartje, S., Muders, K., Prigge, V., & Van Inghelandt, D. (2025). 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, 18(1), Article e70000. https://doi.org/10.1002/tpg2.70000 | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät | |||||||
| Dokument erstellt am: | 09.05.2025 | |||||||
| Dateien geändert am: | 09.05.2025 |
