ArticleBMC genetics2016
Quantitative trait locus analysis for pod- and kernel-related traits in the cultivated peanut (Arachis hypogaea L.).
Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Whole genome-wide association study reveals genetic insights into leaf spot disease resistances and seed germination/dormancy in peanut.Frontiers in plant science · 2026Article
- Genetic mapping of time-to-maturity trait in hypogaea x fastigiata peanut background reveals a significant effect of pod-related and flowering pattern.BMC plant biology · 2025Article
- Fine mapping and candidate gene analysis of major QTLs for number of seeds per pod in Arachis hypogaea L.BMC genomics · 2025Article
- Article
- Using cross-country datasets for association mapping in Arachis hypogaea L.The plant genome · 2024Article
- Co-localization of quantitative trait loci for pod and kernel traits and development of molecular marker for kernel weight on chromosome Arahy05 in peanut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association study and development of molecular markers for yield and quality traits in peanut (Arachis hypogaea L.).BMC plant biology · 2024Article
- Molecular tagging of seed size using MITE markers in an induced large seed mutant with higher cotyledon cell size in groundnut.3 Biotech · 2024Article
- Fine-mapping of a QTL and identification of candidate genes associated with the lateral branch angle of peanuts (Frontiers in plant science · 2024Article
- Article
- Fine mapping of qAHPS07 and functional studies of AhRUVBL2 controlling pod size in peanut (Arachis hypogaea L.).Plant biotechnology journal · 2023Article
- Review
- Genetic mapping identifies genomic regions and candidate genes for seed weight and shelling percentage in groundnut.Frontiers in genetics · 2023Article
- Multi-Omics Profiling Identifies Candidate Genes Controlling Seed Size in Peanut.Plants (Basel, Switzerland) · 2022Article
- Detection of a major QTL and development of KASP markers for seed weight by combining QTL-seq, QTL-mapping and RNA-seq in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Insights into the Genomic Architecture of Seed and Pod Quality Traits in the U.S. Peanut Mini-Core Diversity Panel.Plants (Basel, Switzerland) · 2022Article
- Article
- Construction of ddRADseq-Based High-Density Genetic Map and Identification of Quantitative Trait Loci for Trans-resveratrol Content in Peanut Seeds.Frontiers in plant science · 2021Article
- Comprehensive Transcriptome Analyses Reveal Candidate Genes for Variation in Seed Size/Weight During Peanut (Frontiers in plant science · 2021Article
- Dissection of the Genetic Basis of Yield-Related Traits in the Chinese Peanut Mini-Core Collection Through Genome-Wide Association Studies.Frontiers in plant science · 2021Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe cultivated peanut (Arachis hypogaea L.) is an important oil and food crop in the world. Pod- and kernel-related traits are direct factors involved in determining the yield of the peanut. However, the genetic basis underlying pod- and kernel-related traits in the peanut remained largely unknown, which hampered the improvement of peanut through marker-assisted selection. To understand the genetic basis underlying pod- and kernel-related traits in the peanut and provide more useful information for marker-assisted breeding, we conducted quantitative trait locus (QTL) analysis for pod length and width and seed length and width by use of two F2:3 populations derived from cultivar Fuchuan Dahuasheng × ICG 6375 (FI population) and cultivar Xuhua 13 × cultivar Zhonghua 6 (XZ population) in this study.
resultsTwo genetic maps containing 347 and 228 polymorphic markers were constructed for FI and XZ populations respectively. In total, 39 QTLs explaining 1.25-26.11% of the phenotypic variations were detected in two populations. For the FI population, 26 QTLs were detected between the two environments, among which twelve were not mapped before. For the XZ population, thirteen QTLs were detected, among which eight were not reported before. One QTL for pod width was repeatedly mapped between the two populations.
conclusionThe QTL analyses for pod length and width and seed length and width were conducted in this study using two mapping populations. Novel QTLs were identified, which included two for pod length, four for pod width, five for seed length and one for seed width in the FI population, and three for pod length, three for pod width and two for seed width in the XZ population. Our results will be helpful for improving pod- and seed-related traits in peanuts through marker-assisted selection.
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