Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction

HIGHLIGHTS

• who: Mitchell Gill from the (UNIVERSITY) have published the research: Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction, in the Journal: (JOURNAL)
• what: The authors build robust prediction models for seven agronomic traits in soybean and compare the suitability of prediction models for use in crop breeding. The majority of the significant GWAS loci identified in this study had an overlapping ROI whilst three out of six ROI identified had an overlapping significant GWAS loci from this study and a previous study. Machine learning performance Here . . .
  

   

  

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