ArticlePloS one2015
Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize.Frontiers in plant science · 2024Article
- Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize.International journal of molecular sciences · 2022Article
- Heterotic quantitative trait loci analysis and genomic prediction of seedling biomass-related traits in maize triple testcross populations.Plant methods · 2021Article
- Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size.Frontiers in plant science · 2021Article
- Maize kernel development.Molecular breeding : new strategies in plant improvement · 2021Review
- The genetic basis of hybrid male sterility in sympatric Primulina species.BMC evolutionary biology · 2020Article
- The retromer protein ZmVPS29 regulates maize kernel morphology likely through an auxin-dependent process(es).Plant biotechnology journal · 2020Article
- Genetic architecture of phenotypic means and plasticities of kernel size and weight in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Transcriptomic and presence/absence variation in the barley genome assessed from multi-tissue mRNA sequencing and their power to predict phenotypic traits.BMC genomics · 2019Article
- Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers.Genes & genomics · 2019Article
- Heterotic loci identified for maize kernel traits in two chromosome segment substitution line test populations.Scientific reports · 2018Article
- A novel allele of TaGW2-A1 is located in a finely mapped QTL that increases grain weight but decreases grain number in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Genetic Diversity and Genome-Wide Association Study of Major Ear Quantitative Traits Using High-Density SNPs in Maize.Frontiers in plant science · 2018Article
- The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice.Plant physiology · 2017Article
- Identification of Heterosis-Associated Stable QTLs for Ear-Weight-Related Traits in an Elite Maize Hybrid Zhengdan 958 by Design III.Frontiers in plant science · 2017Article
- Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize.BMC plant biology · 2016Article
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4 authors.
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Abstract
Kernel shape related traits (KSRTs) have been shown to have important influences on grain yield. The previous studies that emphasize kernel length (KL) and kernel width (KW) lack a comprehensive evaluation of characters affecting kernel shape. In this study, materials of the basic generations (B73, Mo17, and B73 × Mo17), 82 intermated B73 × Mo17 (IBM) individuals, and the corresponding triple testcross (TTC) populations were used to evaluate heterosis, investigate correlations, and characterize the quantitative trait loci (QTL) for six KSRTs: KL, KW, length to width ratio (LWR), perimeter length (PL), kernel area (KA), and circularity (CS). The results showed that the mid-parent heterosis (MPH) for most of the KSRTs was moderate. The performance of KL, KW, PL, and KA exhibited significant positive correlation with heterozygosity but their Pearson's R values were low. Among KSRTs, the strongest significant correlation was found between PL and KA with R values was up to 0.964. In addition, KW, PL, KA, and CS were shown to be significant positive correlation with 100-kernel weight (HKW). 28 QTLs were detected for KSRTs in which nine were augmented additive, 13 were augmented dominant, and six were dominance × additive epistatic. The contribution of a single QTL to total phenotypic variation ranged from 2.1% to 32.9%. Furthermore, 19 additive × additive digenic epistatic interactions were detected for all KSRTs with the highest total R2 for KW (78.8%), and nine dominance × dominance digenic epistatic interactions detected for KL, LWR, and CS with the highest total R2 (55.3%). Among significant digenic interactions, most occurred between genomic regions not mapped with main-effect QTLs. These findings display the complexity of the genetic basis for KSRTs and enhance our understanding on heterosis of KSRTs from the quantitative genetic perspective.
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