Integrating and optimizing genomic, weather, and secondary trait data for multiclass cation

HIGHLIGHTS

• who: March and collaborators from the Bayer Crop Science, United States South Dakota State University have published the paper: Integrating and optimizing genomic, weather, and secondary trait data for multiclass cation, in the Journal: (JOURNAL)
• what: The aim of the method is to integrate genomic, weather, and secondary trait information to classify a trait of interest which can be modeled as a binary variable. The authors build on the overview presented above by describing all the pertinent details to implement the proposed method for GS. The authors proposed using principal component analysis (PCA) to combine . . .
  

   

  

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