Literature DB >> 31725912

Molecular mapping of quantitative trait loci for grain moisture at harvest and field grain drying rate in maize (Zea mays L.).

Jun Zhang1, Fengqi Zhang1, Baojun Tang1, Yong Ding1, Laikun Xia1, Jianshuang Qi1, Xinyuan Mu1, Limin Gu1, Daowen Lu2, Yanhui Chen3.   

Abstract

Maize (Zea mays L.) grain moisture (GM) at harvest is an important trait that affects seed preservation during storage, grain quality and artificial drying costs. To date, most of the work on understanding GM dynamics in maize has focused on the grain filling period, while the period of postmaturity grain drying remains unexplored. The field grain drying rate (FDR) is one of the most important factors in determining GM at harvest. Therefore, understanding the genetic basis of FDR will be useful for obtaining low-GM varieties. In this study, a single-cross population (330 F2:3 -generation plants) derived from a cross of two divergent inbred lines was evaluated in two planting environments with a measurement method - Area under the Dry Down Curve (AUDDC). A high-density genetic linkage map of 2491 single nucleotide polymorphism (SNP) loci covering 2415.56 cM was constructed. Using composite interval mapping, four quantitative trait loci (QTL), q45dGM1-1, qHTGM2-2, qAUDDC2-1 and qAUDDC10-1, which were detected on chromosomes 1, 2 and 10, were stable across environments and could explain more than 10% of phenotypic variance. These may be the major QTLs, with non-significant environmental interactions for GM at 45 days, GM at harvest and FDR, respectively. Additionally, several predicted candidate genes for FDR were identified, including several transcription factors, hormone responsive genes, energy-related and DNA replication-related genes. These results will provide useful information for our understanding of the genetic basis of FDR, as well as providing tools for marker-assisted selection in maize breeding.
© 2019 Scandinavian Plant Physiology Society.

Entities:  

Year:  2019        PMID: 31725912     DOI: 10.1111/ppl.13048

Source DB:  PubMed          Journal:  Physiol Plant        ISSN: 0031-9317            Impact factor:   4.500


  3 in total

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

Authors:  Wenqiang Li; Yanhui Yu; Luxi Wang; Yun Luo; Yong Peng; Yuancheng Xu; Xiangguo Liu; Shenshen Wu; Liumei Jian; Jieting Xu; Yingjie Xiao; Jianbing Yan
Journal:  Plant Biotechnol J       Date:  2021-02-11       Impact factor: 9.803

2.  Molecular mapping of quantitative trait loci for 3 husk traits using genotyping by sequencing in maize (Zea mays L.).

Authors:  Jun Zhang; Fengqi Zhang; Lei Tian; Yong Ding; Jianshuang Qi; Hongfeng Zhang; Xinyuan Mu; Zhiyan Ma; Laikun Xia; Baojun Tang
Journal:  G3 (Bethesda)       Date:  2022-09-30       Impact factor: 3.542

3.  Multi-Locus Genome-Wide Association Study and Genomic Selection of Kernel Moisture Content at the Harvest Stage in Maize.

Authors:  Guangfei Zhou; Qiuli Zhu; Yuxiang Mao; Guoqing Chen; Lin Xue; Huhua Lu; Mingliang Shi; Zhenliang Zhang; Xudong Song; Huimin Zhang; Derong Hao
Journal:  Front Plant Sci       Date:  2021-07-09       Impact factor: 5.753

  3 in total

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