Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize
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, P...
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2025-06-01
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| author | Huawei Li Hao Li Jian Chen Xiangbo Zhang Baobao Wang Shujun Zhi Haiying Guan Weibin Song Jinsheng Lai Haiming Zhao Rixin Gao |
| author_facet | Huawei Li Hao Li Jian Chen Xiangbo Zhang Baobao Wang Shujun Zhi Haiying Guan Weibin Song Jinsheng Lai Haiming Zhao Rixin Gao |
| author_sort | Huawei Li |
| collection | DOAJ |
| description | 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 3ʹ 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. |
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| institution | DOAJ |
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| publishDate | 2025-06-01 |
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| spelling | doaj-art-fd47cc181028475bae1407a33cb7fc8e2025-08-20T03:16:36ZengMDPI AGPlants2223-77472025-06-011412173710.3390/plants14121737Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in MaizeHuawei Li0Hao Li1Jian Chen2Xiangbo Zhang3Baobao Wang4Shujun Zhi5Haiying Guan6Weibin Song7Jinsheng Lai8Haiming Zhao9Rixin Gao10Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, ChinaGuangdong Sugarcane Genetic Improvement Engineering Center, Institute of Bioengineering, Guangdong Academy of Sciences, Guangzhou 510316, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, ChinaMaize Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaGrain 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 3ʹ 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.https://www.mdpi.com/2223-7747/14/12/1737maize (<i>Zea mays</i> L.)QTL mapping100-kernel weightDH population |
| spellingShingle | Huawei Li Hao Li Jian Chen Xiangbo Zhang Baobao Wang Shujun Zhi Haiying Guan Weibin Song Jinsheng Lai Haiming Zhao Rixin Gao Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize Plants maize (<i>Zea mays</i> L.) QTL mapping 100-kernel weight DH population |
| title | Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize |
| title_full | Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize |
| title_fullStr | Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize |
| title_full_unstemmed | Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize |
| title_short | Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize |
| title_sort | genetic mapping of qtl associated with 100 kernel weight using a dh population in maize |
| topic | maize (<i>Zea mays</i> L.) QTL mapping 100-kernel weight DH population |
| url | https://www.mdpi.com/2223-7747/14/12/1737 |
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