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Wuerschum-Theor Appl Genet-2023.pdf 996,55KB
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1000 Titel
  • Maximization through optimization? On the relationship between hybrid performance and parental genetic distance
1000 Autor/in
  1. Würschum, Tobias |
  2. Zhu, Xintian |
  3. Zhao, Yusheng |
  4. Jiang, Yong |
  5. Reif, Jochen |
  6. Maurer, Hans Peter |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-08-12
1000 Erschienen in
1000 Quellenangabe
  • 136(9):186
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1007/s00122-023-04436-5 |
  • https://pmc.ncbi.nlm.nih.gov/articles/PMC10423127/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Heterosis is the improved performance of hybrids compared with their parental components and is widely exploited in agriculture. According to quantitative genetic theory, genetic distance between parents at heterotic quantitative trait loci is required for heterosis, but how heterosis varies with genetic distance has remained elusive, despite intensive research on the topic. Experimental studies have often found a positive association between heterosis and genetic distance that, however, varied in strength. Most importantly, it has remained unclear whether heterosis increases continuously with genetic distance or whether there is an optimum genetic distance after which heterosis declines again. Here, we revisit the relationship between heterosis and genetic distance and provide perspectives on how to maximize heterosis and hybrid performance in breeding, as well as the consequences for the design of heterotic groups and the utilization of more exotic material and genetic resources.
1000 Sacherschließung
lokal genetic
lokal hybridization
lokal quantitative trait loci
lokal hybrid vigor
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7397-7731|https://orcid.org/0000-0001-8597-2762|https://orcid.org/0000-0001-6783-5182|https://orcid.org/0000-0002-2824-677X|https://orcid.org/0000-0002-6742-265X|https://orcid.org/0000-0002-6261-1347
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