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The genetic architecture of the dynamic changes in grain moisture in maize.

Authors :
Li, Wenqiang
Yu, Yanhui
Wang, Luxi
Luo, Yun
Peng, Yong
Xu, Yuancheng
Liu, Xiangguo
Wu, Shenshen
Jian, Liumei
Xu, Jieting
Xiao, Yingjie
Yan, Jianbing
Source :
Plant Biotechnology Journal. Jun2021, Vol. 19 Issue 6, p1195-1205. 11p.
Publication Year :
2021

Abstract

Summary: Low grain moisture at harvest is crucial for safe production, transport and storage, but the genetic architecture of this trait in maize (Zea mays) remains elusive. Here, we measured the dynamic changes in grain moisture content in an association‐mapping panel of 513 diverse maize inbred lines at five successive stages across five geographical environments. Genome‐wide association study (GWAS) revealed 71 quantitative trait loci (QTLs) that influence grain moisture in maize. Epistatic effects play vital roles in the variability in moisture levels, even outperforming main‐effect QTLs during the early dry‐down stages. Distinct QTL–environment interactions influence the spatio‐temporal variability of maize grain moisture, which is primarily triggered at specific times. By combining genetic population analysis, transcriptomic profiling and gene editing, we identified GRMZM5G805627 and GRMZM2G137211 as candidate genes underlying major QTLs for grain moisture in maize. Our results provide insights into the genetic architecture of dynamic changes in grain moisture, which should facilitate maize breeding. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14677644
Volume :
19
Issue :
6
Database :
Academic Search Index
Journal :
Plant Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
150870376
Full Text :
https://doi.org/10.1111/pbi.13541