Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice.

ABSTRACT: Improvement of the breeding efficiencies of heterotic crops adaptive to different conditions can mitigate the food shortage crisis due to overpopulation and climate change. To date, diverse molecular markers have been used to guide field phenotypic selection, whereas accurate predictions of complex heterotic traits are rarely reported. Here, we present a practical metabolome-based strategy for predicting yield heterosis in rice. The dissection of population structure based on untargeted metabolite profiles as the initial critical step in multivariate modeling performed better than the screening of predictive variables. Then the assessment of each predictive variable's contribution to predictive models according to all latent factors was more precise than the conventional first one. Metabol

SUBMITTER: Dan Z 

PROVIDER: S-EPMC6918511 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature