ArticleFrontiers in plant science2023
Genetic dissection of QTLs for oil content in four maize DH populations.
Article in Frontiers in plant science, 2023. 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, 11 citations in OpenAlex.
- Genetic dissection of oil content in maize kernel using combined genome-wide association analysis and linkage mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Meta-QTLs and candidate genes for kernel protein content in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Molecular breeding approaches for the improvement of oil content and fatty acid composition in exotic-derived maize germplasm.The New phytologist · 2025Article
- Meta-QTL analysis for mining key genes associated with seed oil content in maize.BMC plant biology · 2025Article
- Dissecting the genetic architecture of polygenic nutritional traits in maize through meta-QTL analysis.Food chemistry. Molecular sciences · 2025Article
- Review
- Mining of Oil Content Genes in Recombinant Maize Inbred Lines with Introgression from Temperate and Tropical Germplasm.International journal of molecular sciences · 2024Article
- Genetic analysis of QTLs for lysine content in four maize DH populations.BMC genomics · 2024Article
- Linkage mapping and genomic prediction of grain quality traits in tropical maize (Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oil is one of the main components in maize kernels. Increasing the total oil content (TOC) is favorable to optimize feeding requirement by improving maize quality. To better understand the genetic basis of TOC, quantitative trait loci (QTL) in four double haploid (DH) populations were explored. TOC exhibited continuously and approximately normal distribution in the four populations. The moderate to high broad-sense heritability (67.00-86.60%) indicated that the majority of TOC variations are controlled by genetic factors. A total of 16 QTLs were identified across all chromosomes in a range of 3.49-30.84% in term of phenotypic variation explained. Among them, six QTLs were identified as the major QTLs that explained phenotypic variation larger than 10%. Especially,
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