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QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.
- Source :
-
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2024 Sep 26; Vol. 137 (10), pp. 233. Date of Electronic Publication: 2024 Sep 26. - Publication Year :
- 2024
-
Abstract
- Key Message: This study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as parents. After four years of trait investigation and analysis, 25 quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content were identified, with six QTLs showing a significant contribution value exceeding 10% in the phenotype. Furthermore, a comparison was made between the QTLs identified in this study and those from previous research on maize kernel moisture content and dehydration rate, followed by screening through the omics analysis of the parental lines. Three candidate genes related to kernel dehydration rate were identified, primarily involving carbohydrate metabolism, energy metabolism processes (Zm00001d014030 and Zm00001d006476), and stimulus resistance (Zm00001d040113). These findings provide valuable insights to assist and guide future breeding efforts for mechanical harvesting of maize.<br /> (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1432-2242
- Volume :
- 137
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
- Publication Type :
- Academic Journal
- Accession number :
- 39325221
- Full Text :
- https://doi.org/10.1007/s00122-024-04715-9