Maximization through optimization? On the relationship between hybrid performance and parental genetic distance

dc.contributor.authorWürschum, Tobias
dc.contributor.authorZhu, Xintian
dc.contributor.authorZhao, Yusheng
dc.contributor.authorJiang, Yong
dc.contributor.authorReif, Jochen C.
dc.contributor.authorMaurer, Hans Peter
dc.date.accessioned2026-01-29T13:11:03Z
dc.date.available2026-01-29T13:11:03Z
dc.date.issued2023
dc.date.updated2025-12-04T16:37:09Z
dc.description.abstractHeterosis 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.en
dc.description.sponsorshipOpen Access funding enabled and organized by Projekt DEAL.
dc.description.sponsorshipUniversität Hohenheim (3153)
dc.identifier.urihttps://doi.org/10.1007/s00122-023-04436-5
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/18610
dc.language.isoeng
dc.rights.licensecc_by
dc.subjectHeterosis
dc.subjectGenetic distance
dc.subjectQuantitative genetics
dc.subjectHybrid breeding
dc.subjectHeterotic group design
dc.subject.ddc570
dc.titleMaximization through optimization? On the relationship between hybrid performance and parental genetic distanceen
dc.type.diniArticle
dcterms.bibliographicCitationTheoretical and applied genetics, 136 (2023), 9, 186. https://doi.org/10.1007/s00122-023-04436-5. ISSN: 1432-2242 ISSN: 0040-5752
dcterms.bibliographicCitation.issn0040-5752
dcterms.bibliographicCitation.issn1432-2242
dcterms.bibliographicCitation.issue9
dcterms.bibliographicCitation.journaltitleTheoretical and applied genetics
dcterms.bibliographicCitation.originalpublishernameSpringer Berlin Heidelberg
dcterms.bibliographicCitation.volume136
local.export.bibtex@article{Würschum2023, doi = {10.1007/s00122-023-04436-5}, author = {Würschum, Tobias and Zhu, Xintian and Zhao, Yusheng et al.}, title = {Maximization through optimization? On the relationship between hybrid performance and parental genetic distance}, journal = {Theoretical and applied genetics}, year = {2023}, volume = {136}, number = {9}, }
local.subject.sdg2
local.subject.sdg15
local.title.fullMaximization through optimization? On the relationship between hybrid performance and parental genetic distance
local.university.bibliographyhttps://hohcampus.verw.uni-hohenheim.de/qisserver/a/fs.res.frontend/pub/view/42965

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