GC-MS based metabolite profiling as a means to hybrid performance prediction in winter wheat

摘要

The obtained results demonstrated the usefulness of metabolite fingerprints as a means to predict the phenotypic performance of winter wheat hybrid combinations. The prediction values reached were lower than the ones obtained by using solely the genotypic data set as predictor variable.