Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.1371/journal.pone.0158602
The growth period traits are important traits that affect soybean yield. The insights into the genetic basis of growth period traits can provide theoretical basis for cultivated area division, rational distribution, and molecular breeding for soybean varieties. In this study, genome-wide association analysis (GWAS) was exploited to detect the quantitative trait loci (QTL) for number of days to flowering (ETF), number of days from flowering to maturity (FTM), and number of days to maturity (ETM) using 4032 single nucleotide polymorphism (SNP) markers with 146 cultivars mainly from Northeast China. Results showed that abundant phenotypic variation was presented in the population, and variation explained by genotype, environment, and genotype by environment interaction were all significant for each trait. The whole accessions could be clearly clustered into two subpopulations based on their genetic relatedness, and accessions in the same group were almost from the same province. GWAS based on the unified mixed model identified 19 significant SNPs distributed on 11 soybean chromosomes, 12 of which can be consistently detected in both planting densities, and 5 of which were pleotropic QTL. Of 19 SNPs, 7 SNPs located in or close to the previously reported QTL or genes controlling growth period traits. The QTL identified with high resolution in this study will enrich our genomic understanding of growth period traits and could then be explored as genetic markers to be used in genomic applications in soybean breeding.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0158602
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158602&type=printable
- OA Status
- gold
- Cited By
- 20
- References
- 88
- Related Works
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- OpenAlex ID
- https://openalex.org/W2472913907
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- OpenAlex ID
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https://openalex.org/W2472913907Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0158602Digital Object Identifier
- Title
-
Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association MappingWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2016Year of publication
- Publication date
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2016-07-01Full publication date if available
- Authors
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Zhangxiong Liu, Huihui Li, Xuhong Fan, Wen Huang, Jiyu Yang, Candong Li, Zixiang Wen, Yinghui Li, Rongxia Guan, Yong Guo, Ruzhen Chang, Dechun Wang, Shuming Wang, Lijuan QiuList of authors in order
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https://doi.org/10.1371/journal.pone.0158602Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158602&type=printableDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158602&type=printableDirect OA link when available
- Concepts
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Quantitative trait locus, Biology, Single-nucleotide polymorphism, Genome-wide association study, Genetics, Genotype, Trait, Genetic association, Family-based QTL mapping, Population, Genetic variation, Gene, Gene mapping, Chromosome, Demography, Programming language, Sociology, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 4, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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88Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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