Optimizing training population size and content to improve prediction accuracy of fhb-related traits in wheat

HIGHLIGHTS

  • who: Emmanuel Adeyemo et al. from the Department of Agronomy and Plant Genetics, University of Minnesota, Borlaug Hall have published the Article: Optimizing Training Population Size and Content to Improve Prediction Accuracy of FHB-Related Traits in Wheat, in the Journal: (JOURNAL)
  • what: The aim is to reduce variability within clusters while increasing variability among clusters. The aims of this study are to determine if: a small sized TP selected by stratified sampling will improve predictive abilities compared to a same size TP selected without stratification; the addition of parents to the TP will improve . . .

     

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