Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean
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Title
Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean
Authors
Keywords
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Journal
Frontiers in Plant Science
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-12-05
DOI
10.3389/fpls.2018.01793
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Related references
Note: Only part of the references are listed.- Genome-wide association mapping of QTL underlying seed oil and protein contents of a diverse panel of soybean accessions
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- (2016) Shi-Bo Wang et al. Scientific Reports
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- Establishment of a 100-seed weight quantitative trait locus–allele matrix of the germplasm population for optimal recombination design in soybean breeding programmes
- (2015) Yinghu Zhang et al. JOURNAL OF EXPERIMENTAL BOTANY
- Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean
- (2015) Zhengkui Zhou et al. NATURE BIOTECHNOLOGY
- A genome-wide association study of seed protein and oil content in soybean
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- Identification of loci governing eight agronomic traits using a GBS-GWAS approach and validation by QTL mapping in soya bean
- (2014) Humira Sonah et al. PLANT BIOTECHNOLOGY JOURNAL
- Does genomic selection have a future in plant breeding?
- (2013) Elisabeth Jonas et al. TRENDS IN BIOTECHNOLOGY
- Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean
- (2012) Junyi Gai et al. BREEDING SCIENCE
- An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
- (2012) Vincent Segura et al. NATURE GENETICS
- Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows
- (2010) LAURENT EXCOFFIER et al. Molecular Ecology Resources
- Status and Prospects of Association Mapping in Plants
- (2008) Chengsong Zhu et al. Plant Genome
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