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Genetic dissection of maize grain moisture content and dehydration rate using high-density bin mapping in a recombinant inbred line population

文献类型： 外文期刊

作者： Zhang, Jun 1 ; Zhang, Yingying 2 ; Zhang, Fengqi 1 ; Tian, Lei 3 ; Ma, Zhiyan 1 ; Wu, Xiaopan 4 ; Zhou, Qingwei 5 ; Zhang, Qianjin 1 ; Mu, Xinyuan 1 ; Fan, Yanping 1 ; Xia, Laikun 1 ; Ding, Yong 1 ;

作者机构： 1.Henan Acad Agr Sci, Cereal Crops Res Inst, Henan Prov Key Lab Maize Biol, Zhengzhou 450002, Peoples R China

2.Anyang Acad Agr Sci, Anyang 455000, Peoples R China

3.Henan Agr Univ, Coll Agron, Ctr Crop Genome Engn, State Key Lab Wheat & Maize Crop Sci, Zhengzhou 450046, Peoples R China

4.Zhengzhou Beiqing Seed Ind Co Ltd, Zhengzhou 450002, Peoples R China

5.Henan Sutai Agr Technol Co Ltd, Zhengzhou 450002, Peoples R China

关键词： Maize; Grain moisture content; Grain dehydration rate; Quantitative trait loci mapping; High-density bin mapping; Recombinant inbred line population; Marker-assisted selection; Transcriptomic analysis

期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.8； 五年影响因子：5.4 ）

ISSN： 1471-2229

年卷期： 2025 年 25 卷 1 期

页码：

收录情况： SCI

摘要： Maize (Zea mays L.) grain moisture content (GMC) at harvest is a key determinant of seed preservation, grain quality, and drying costs, with the grain dehydration rate (GDR) playing a critical role in determining GMC. This study focused on understanding the genetic basis of GDR by utilizing a recombinant inbred line population of 310 lines derived from PB80 and PHJ65, assessed across three environments with high-density SNP markers. A genetic linkage map spanning 1237.36 cM with 5235 bin markers was constructed, leading to the identification of 23 quantitative trait loci (QTLs) associated with GMC and Area Under the Dry Down Curve (AUDDC) across multiple chromosomes, with several QTLs explaining over 10% of the phenotypic variance. Significant QTLs, including qGMC1.1, qGMC2.2, and qAUDDC2.2, were consistently detected across various environments and developmental stages. Transcriptomic analysis identified 21 candidate genes within these QTL regions, including key transcription factors and metabolism-related genes. These findings contribute to a better understanding of the genetic control of GMC and GDR, may serve as a foundation for future breeding efforts in maize breeding to enhance mechanized production efficiency and reduce post-harvest drying costs.

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