ArticleMolecular genetics and genomics : MGG2016
Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population.
Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 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
- Precise 3D geometric phenotyping and phenotype interaction network construction of maize kernels.Frontiers in plant science · 2025Article
- Maize kernel development.Molecular breeding : new strategies in plant improvement · 2021Review
- Genetic and genomic analysis of the seed-filling process in maize based on a logistic model.Heredity · 2020Article
- Identification of quantitative trait loci for kernel-related traits and the heterosis for these traits in maize (Zea mays L.).Molecular genetics and genomics : MGG · 2020Article
- Fine mapping and candidate gene analysis of qhkw5-3, a major QTL for kernel weight in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Chromosomes A07 and A05 associated with stable and major QTLs for pod weight and size in cultivated peanut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Verification and fine mapping of qGW1.05, a major QTL for grain weight in maize (Zea mays L.).Molecular genetics and genomics : MGG · 2017Article
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10 authors.
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Abstract
Kernel development is an important dynamic trait that determines the final grain yield in maize. To dissect the genetic basis of maize kernel development process, a conditional quantitative trait locus (QTL) analysis was conducted using an immortalized F2 (IF2) population comprising 243 single crosses at two locations over 2 years. Volume (KV) and density (KD) of dried developing kernels, together with kernel weight (KW) at different developmental stages, were used to describe dynamic changes during kernel development. Phenotypic analysis revealed that final KW and KD were determined at DAP22 and KV at DAP29. Unconditional QTL mapping for KW, KV and KD uncovered 97 QTLs at different kernel development stages, of which qKW6b, qKW7a, qKW7b, qKW10b, qKW10c, qKV10a, qKV10b and qKV7 were identified under multiple kernel developmental stages and environments. Among the 26 QTLs detected by conditional QTL mapping, conqKW7a, conqKV7a, conqKV10a, conqKD2, conqKD7 and conqKD8a were conserved between the two mapping methodologies. Furthermore, most of these QTLs were consistent with QTLs and genes for kernel development/grain filling reported in previous studies. These QTLs probably contain major genes associated with the kernel development process, and can be used to improve grain yield and quality through marker-assisted selection.
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