Evidence map›Paper›PMID 40573725›Full record

ArticlePlants (Basel, Switzerland)2025

Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize.

Huawei Li, Hao Li, Jian Chen, Xiangbo Zhang, Baobao Wang, Shujun Zhi, Haiying Guan, Weibin Song, Jinsheng Lai, Haiming Zhao and 1 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Huawei LiCrop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID 0000-0001-8871-6684
Hao LiSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jian ChenState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.
Xiangbo ZhangGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Bioengineering, Guangdong Academy of Sciences, Guangzhou 510316, China.
Baobao WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Shujun ZhiMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Haiying GuanMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Weibin SongState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-3496-2585
Jinsheng LaiState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.
Haiming ZhaoState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.
Rixin GaoMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID 0009-0002-4467-6021

Funding

Agricultural Scientific and Technological Innovation Project of Shandong Academy of Agricultural Sciences CXGC2025B10Science and Technology Demonstration Project of Shandong Province 2024SFGC0402
6 · The paper itself

Abstract

Grain yield establishment is a complex progress and the genetic basis of one of the most important yield components, 100-kernel weight, remains largely unknown. Here, we employed a double haploid (DH) population containing 477 lines which was developed from a cross of two maize elite inbred lines, PHBA6 and Chang7-2, to identify quantitative trait loci (QTL) that related to 100-kernel weight. The phenotypes of the DH population were acquired over three years in two different locations, while the DH lines were genotyped by next-generation sequencing technology of massively parallel 3' end RNA sequencing (MP3RNA-seq). Eventually, 28,874 SNPs from 436 DH lines were preserved after SNP calling and filtering and a genetic map with a length of 837 cM was constructed. Then, single environment QTL analysis was performed using the R/qtl program, and it was found that a total of 17 QTLs related to 100-kernel weight were identified and distributed across the whole genome except chromosomes 5 and 6. The total phenotypic variation explained by QTLs detected in three different environments (BJ2016, BJ2107, and HN2018) was 22.2%, 32.9%, and 51.38%, respectively. Among these QTLs, three of them were identified across different environments as environmentally stable QTLs and explained more than 10% of the phenotypic variance each. Together, the results provided in this study preliminarily revealed the genetic basis of 100-kernel weight and will enhance molecular breeding for key agronomic kernel-related traits in maize.

Indexed as

100-kernel weightDH populationmaize (Zea mays L.)QTL mapping

Identifiers

PMID40573725
PMCPMC12197198

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