A new version of this entry is available:
Loading...
Article
2023
Maximization through optimization? On the relationship between hybrid performance and parental genetic distance
Maximization through optimization? On the relationship between hybrid performance and parental genetic distance
Abstract (English)
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.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Other version
Notes
Publication license
Publication series
Published in
Theoretical and applied genetics, 136 (2023), 9, 186.
https://doi.org/10.1007/s00122-023-04436-5.
ISSN: 1432-2242
ISSN: 0040-5752
Other version
Faculty
Institute
Examination date
Supervisor
Cite this publication
Würschum, T., Zhu, X., Zhao, Y., Jiang, Y., Reif, J. C., & Maurer, H. P. (2023). Maximization through optimization? On the relationship between hybrid performance and parental genetic distance. Theoretical and applied genetics, 136(9). https://doi.org/10.1007/s00122-023-04436-5
Edition / version
Citation
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
570 Biology
Original object
University bibliography
Standardized keywords (GND)
Sustainable Development Goals
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},
}