Metabolic prediction of important agronomic traits in hybrid rice (Oryza sativa L.).

ABSTRACT: Hybrid crops have contributed greatly to improvements in global food and fodder production over the past several decades. Nevertheless, the growing population and changing climate have produced food crises and energy shortages. Breeding new elite hybrid varieties is currently an urgent task, but present breeding procedures are time-consuming and labour-intensive. In this study, parental metabolic information was utilized to predict three polygenic traits in hybrid rice. A complete diallel cross population consisting of eighteen rice inbred lines was constructed, and the hybrids' plant height, heading date and grain yield per plant were predicted using 525 metabolites. Metabolic prediction models were built using the partial least square regression method, with predictive abilities ranging

SUBMITTER: Dan Z 

PROVIDER: S-EPMC4764848 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature