Literature DB >> 32183696

Genetic dissection of grain water content and dehydration rate related to mechanical harvest in maize.

Jianju Liu1, Hui Yu1, Yuanliang Liu1, Suining Deng1, Qingcai Liu1, Baoshen Liu2, Mingliang Xu3.   

Abstract

BACKGROUND: The low grain water content (GWC) at harvest is a prerequisite to mechanical harvesting in maize, or otherwise would cause massive broken kernels and increase drying costs. The GWC at harvest in turn depends on GWC at the physiological maturity (PM) stage and grain dehydration rate (GDR). Both GWC and GDR are very complex traits, governed by multiple quantitative trait loci (QTL) and easily influenced by environmental conditions. So far, a number of experiments have been conducted to reveal numbers of GWC and GDR QTL, however, very few QTL have been confirmed, and no QTL has been fine-mapped or even been cloned.
RESULTS: We demonstrated that GWCs after PM were positively correlated with GWC at PM, whereas negatively with GDRs after PM. With a recombinant inbred line (RIL) population, we identified totally 31 QTL related to GWC and 17 QTL related to GDR in three field trials. Seven GWC QTL were consistently detected in at least two of the three field trials, each of which could explain 6.92-24.78% of the total GWC variation. Similarly, one GDR QTL was consistently detected, accounting for 9.44-14.46% of the total GDR variation. Three major GWC QTL were found to overlap with three GDR QTL in bins 1.05/06, 2.06/07, and 3.05, respectively. One of the consistent GWC QTL, namely qGwc1.1, was fine-mapped from a 27.22 Mb to a 2.05 Mb region by using recombinant-derived progeny test. The qGwc1.1 acted in a semi-dominant manner to reduce GWC by 1.49-3.31%.
CONCLUSIONS: A number of consistent GWC and GDR QTL have been identified, and one of them, QTL-qGwc1.1, was successfully refined into a 2.05 Mb region. Hence, it is realistic to clone the genes underlying the GWC and GDR QTL and to make use of them in breeding of maize varieties with low GWC at harvest.

Entities:  

Keywords:  Grain dehydration rate; Grain water content; Maize; Mechanical harvesting; Physiological maturity

Year:  2020        PMID: 32183696     DOI: 10.1186/s12870-020-2302-0

Source DB:  PubMed          Journal:  BMC Plant Biol        ISSN: 1471-2229            Impact factor:   4.215


  5 in total

1.  Genomic Prediction Strategies for Dry-Down-Related Traits in Maize.

Authors:  Pengzun Ni; Mahlet Teka Anche; Yanye Ruan; Dongdong Dang; Nicolas Morales; Lingyue Li; Meiling Liu; Shu Wang; Kelly R Robbins
Journal:  Front Plant Sci       Date:  2022-06-30       Impact factor: 6.627

2.  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

3.  Genome-Wide Association Study Reveals the Genetic Basis of Kernel and Cob Moisture Changes in Maize at Physiological Maturity Stage.

Authors:  Minyan Zhang; Chaoyang Xiangchen; Jiaquan Yan; Yujuan Chengxu; Hao Liu; Chaoying Zou; Guangtang Pan; Yaou Shen; Langlang Ma
Journal:  Plants (Basel)       Date:  2022-07-30

4.  Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.

Authors:  Wei Wang; Zhaobin Ren; Lu Li; Yiping Du; Yuyi Zhou; Mingcai Zhang; Zhaohu Li; Fei Yi; Liusheng Duan
Journal:  BMC Plant Biol       Date:  2022-07-16       Impact factor: 5.260

5.  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

  5 in total

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