Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV
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Title
Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV
Authors
Keywords
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Journal
THEORETICAL AND APPLIED GENETICS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-02-26
DOI
10.1007/s00122-019-03304-5
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- Impact of seed protein alleles from three soybean sources on seed composition and agronomic traits
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- (2017) Jeffrey D. Boehm et al. THEORETICAL AND APPLIED GENETICS
- Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
- (2017) Gunvant Patil et al. THEORETICAL AND APPLIED GENETICS
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- (2016) Rhiannon Schneider et al. BMC GENOMICS
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- (2016) Myungsik Kim et al. CROP SCIENCE
- Quantitative Trait Loci (QTL) Mapping for Glycinin and β-Conglycinin Contents in Soybean (Glycine max L. Merr.)
- (2016) Yujie Ma et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Analyzing the Effects of Climate Factors on Soybean Protein, Oil Contents, and Composition by Extensive and High-Density Sampling in China
- (2016) Wenwen Song et al. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
- Landscape of genomic diversity and trait discovery in soybean
- (2016) Babu Valliyodan et al. Scientific Reports
- Confirmation of a Seed Yield QTL in Soybean
- (2015) Carolyn M. Fox et al. CROP SCIENCE
- QTL for seed protein and amino acids in the Benning × Danbaekkong soybean population
- (2015) C. V. Warrington et al. THEORETICAL AND APPLIED GENETICS
- LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms
- (2015) Daniel Money et al. G3-Genes Genomes Genetics
- A Population Structure and Genome-Wide Association Analysis on the USDA Soybean Germplasm Collection
- (2015) Nonoy Bandillo et al. Plant Genome
- A genome-wide association study of seed protein and oil content in soybean
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- NONRUMINANT NUTRITION SYMPOSIUM: Potential of defatted microalgae from the biofuel industry as an ingredient to replace corn and soybean meal in swine and poultry diets12
- (2014) S. Gatrell et al. JOURNAL OF ANIMAL SCIENCE
- Identification of quantitative trait loci associated with soybean seed protein content using two populations derived from crosses between Glycine max and Glycine soja
- (2014) Long Yan et al. Plant Genetic Resources-Characterization and Utilization
- Genetic Mapping and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Contents and Seed Weight in Soybean
- (2013) Safiullah M. Pathan et al. CROP SCIENCE
- Identification of quantitative trait loci underlying seed protein and oil contents of soybean across multi-genetic backgrounds and environments
- (2013) Tingting Mao et al. PLANT BREEDING
- Development and Evaluation of SoySNP50K, a High-Density Genotyping Array for Soybean
- (2013) Qijian Song et al. PLoS One
- GAPIT: genome association and prediction integrated tool
- (2012) Alexander E. Lipka et al. BIOINFORMATICS
- Registration of ‘Summit,’ a High-Yielding Soybean with Race-Specific Resistance to
- (2012) Leah K. McHale et al. Journal of Plant Registrations
- Comparative population genomics of maize domestication and improvement
- (2012) Matthew B Hufford et al. NATURE GENETICS
- An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
- (2012) Vincent Segura et al. NATURE GENETICS
- A mixed-model approach for genome-wide association studies of correlated traits in structured populations
- (2012) Arthur Korte et al. NATURE GENETICS
- A Map-Based Cloning Strategy Employing a Residual Heterozygous Line Reveals that theGIGANTEAGene Is Involved in Soybean Maturity and Flowering
- (2011) Satoshi Watanabe et al. GENETICS
- STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method
- (2011) Dent A. Earl et al. Conservation Genetics Resources
- Mixed linear model approach adapted for genome-wide association studies
- (2010) Zhiwu Zhang et al. NATURE GENETICS
- Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection
- (2010) Hon-Ming Lam et al. NATURE GENETICS
- Mapeamento de QTL para conteúdos de proteína e óleo em soja
- (2010) Josiane Isabela da Silva Rodrigues et al. PESQUISA AGROPECUARIA BRASILEIRA
- Genetic relationship between lipid content and linolenic acid concentration in soybean seeds
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