ArticleFrontiers in genetics2020
Quantitative Trait Locus Analysis of Protein and Oil Content in Response to Planting Density in Soybean (
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Genome-Wide Association and RNA-Seq Analyses Reveal a Potential Candidate Gene Related to Oil Content in Soybean Seeds.International journal of molecular sciences · 2024Article
- Integrating Genome-Wide Association Study, Transcriptome and Metabolome Reveal Novel QTL and Candidate Genes That Control Protein Content in Soybean.Plants (Basel, Switzerland) · 2024Article
- Genetic analysis of protein content and oil content in soybean by genome-wide association study.Frontiers in plant science · 2023Article
- Mapping QTL/QTN and mining candidate genes for plant height and its response to planting densities in soybean [Molecular breeding : new strategies in plant improvement · 2021Article
- QTL for Main Stem Node Number and Its Response to Plant Densities in 144 Soybean FW-RILs.Frontiers in plant science · 2021Article
- Detecting QTL and Candidate Genes for Plant Height in SoybeanFrontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean varieties suitable for high planting density allow greater yields. However, the seed protein and oil contents, which determine the value of this crop, can be influenced by planting density. Thus, it is important to understand the genetic basis of the responses of different soybean genotypes to planting density. In this study, we quantified the protein and oil contents in a four-way recombinant inbred line (FW-RIL) soybean population under two planting densities and the response to density. We performed quantitative trait locus (QTL) mapping using a single nucleotide polymorphism (SNP) linkage map generated by inclusive composite interval mapping. We identified 14 QTLs for protein content and 17 for oil content at a planting density of 2.15 × 10
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