Genome-to-phenome research in agriculture aims to improve crops through in silico predictions. Genome-wide association study (GWAS) is potent in identifying genomic loci that underlie important traits

NIAID Data Ecosystem20

Table_3_Accurate Prediction of a Quantitative Trait Using the Genes Controlling the Trait for Gene-Based Breeding in Cotton.XLSX

作物育种基因组

数量预测

Accurate phenotype prediction of quantitative traits is paramount to enhanced plant research and breeding. Here, we report the accurate prediction of cotton fiber length, a typical quantitative trait,

NIAID Data Ecosystem80

A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

基因分型测序

作物育种基因组

Advances in next generation technologies have driven the costs of DNA sequencing down to the point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, w

Figshare2016-01-18 更新30

Genetic association of 7 genes for rice grain size traits.

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