ArticleBreeding science2019
Combined linkage and association mapping reveal candidate loci for kernel size and weight in maize.
Article in Breeding science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Genetic dissection of hundred-kernel weight through combined genome-wide association study and linkage analysis in tropical maize.BMC genomics · 2025Article
- Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize.BMC plant biology · 2025Article
- Genetic architecture of kernel-related traits in sweet and waxy maize revealed by genome-wide association analysis.Frontiers in genetics · 2024Article
- Identification of Candidate QTLs and Genes for Ear Diameter by Multi-Parent Population in Maize.Genes · 2023Article
- The double round-robin population unravels the genetic architecture of grain size in barley.Journal of experimental botany · 2022Article
- Genome wide association analysis for yield related traits in maize.BMC plant biology · 2022Article
- Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.International journal of molecular sciences · 2022Review
- Exploiting natural variation in crown root traits via genome-wide association studies in maize.BMC plant biology · 2021Article
- Maize kernel development.Molecular breeding : new strategies in plant improvement · 2021Review
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Authors and funding
9 authors.
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Abstract
Yield improvement is a top priority for maize breeding. Kernel size and weight are important determinants of maize grain yield. In this study, a recombinant inbred line (RIL) population and an association panel were used to identify quantitative trait loci (QTLs) for four maize kernel-related traits: kernel length, width, thickness and 100-kernel weight. Twenty-seven QTLs were identified for kernel-related traits across three environments and the best linear unbiased predictions (BLUPs) of each trait by linkage analysis, and four QTLs were stably detected in more than two environments. Additionally, 29 single nucleotide polymorphisms (SNPs) were identified as significantly associated with the four kernel-related traits and BLUPs by genome-wide association study, and two loci could be stably detected in both environments. In total, four QTLs/SNPs were co-associated with various traits in both populations. Using combined-linkage analysis and association mapping, PZE-101066560 on chromosome 1, associated with kernel width and with 100-kernel weight in the association panel, was co-localized within the QTL interval of
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