ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012
QTL analysis of soybean seed weight across multi-genetic backgrounds and environments.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed, 138 citations in OpenAlex.
- Photosynthesis-informed breeding to enhance Soybean (Glycine max) yield potential: a framework integrating high-throughput phenomics, genomic prediction and G×E×M.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Fine mapping and candidate gene analysis of a major QTL qHSW_11 for seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrative haplotype and SNP-based GWAS supports the identification of stable genomic loci controlling yield-related traits in soybean.Frontiers in plant science · 2026Article
- Identification of Novel Genetic Loci Related to 100-Seed Weight in the Korean Soybean Core Collection Using a Genome-Wide Association Study.International journal of molecular sciences · 2025Article
- Genetic loci and functional genes conferring deep-sowing tolerance across multiple environments in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population.Molecular breeding : new strategies in plant improvement · 2025Article
- Soybean genome‑wide association study of seed weight, protein, and oil content in the southeastern USA.Molecular genetics and genomics : MGG · 2025Article
- GWAS analysis revealed genomic loci and candidate genes associated with the 100-seed weight in high-latitude-adapted soybean germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
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- Genome-wide association and selection studies for pod dehiscence resistance in the USDA soybean germplasm collection.PloS one · 2025Article
- Identification of candidate genes and development of KASP markers for soybean pod-related traits using GWAS.Frontiers in plant science · 2025Article
- Establishment of efficient hypocotyl-derived protoplast isolation and its application in soybean (Frontiers in plant science · 2025Article
- Identification of the domestication gene GmCYP82C4 underlying the major quantitative trait locus for the seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-Wide Association Studies Prioritize Genes Controlling Seed Size and Reproductive Period Length in Soybean.Plants (Basel, Switzerland) · 2024Article
- Genetic Diversity Analysis of Soybean Collection Using Simple Sequence Repeat Markers.Plants (Basel, Switzerland) · 2023Article
- Major genetic locus with pleiotropism determined seed-related traits in cultivated and wild soybeans.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genetic regulatory networks of soybean seed size, oil and protein contents.Frontiers in plant science · 2023Review
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
- Identification of major quantitative trait loci and candidate genes for seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genome-wide association study of soybean (Frontiers in plant science · 2023Article
7 more citing papers are in PubMed but not listed here.
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Seed weight, measured as mass per seed, is an important yield component of soybean and is generally positively correlated with seed yield (Burton et al, Crop Sci 27:1093, 1987). In previous reports, quantitative trait loci (QTL) associated with seed weight, were identified in single genetic background. The objective of the present study was to identify QTL and epistatic QTL underlying soybean seed weight in three RIL populations (with one common male parent 'Hefeng25') and across three different environments. Overall, 18, 11, and 17 seed weight QTL were identified in HC ('Hefeng25' × 'Conrad'), HM ('Hefeng25' × 'Maple Arrow'), and HB ('Hefeng25' × 'Bayfield') populations, respectively. The amount of phenotypic variation explained by a single QTL underlying seed weight was usually less than 10 %. The environment and background-independent QTL often had higher additive (a) effects. In contrast, the environment or background-dependent QTL were probably due to weak expression of QTL. QTL by environment interaction effects were in the opposite direction of a effects and/or epistasis effects. Four QTL and one QTL could be identified (2.0 < LOD < 9.06) in the HC and HB populations, respectively, across three environments (swHCA2-1, swHCC2-1, swHCD1b-1, swHCA2-2 (linked to Satt233, Satt424, Satt460, Satt428, respectively) and swHBA1-1(Satt449). Seven QTL could be identified in all three RIL populations in at least one location. Two QTL could be identified in the three RIL populations across three environments. These two QTL may have greater potential for use in marker-assisted selection of seed weight in soybean.
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