Plant Phenomics / 2019 / Article / Fig 5

Research Article

Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean

Figure 5

Spearman rank correlation and classification metrics (specificity=SPE, balanced accuracy=BAC, F score=FS) of random forest model test prediction using only optimized wavebands (blue line) and selected canopy traits (red line). Applicability of using phenomic prediction in plant breeding operations was tested using four training/testing splits (80/20, 60/40, 40/60, 20/80) and performance metrics were computed for each split. Seed yield and phenomic predictor trait data were collected from 292 genotypes grown in six environments and data collected at two growth stages in each environment.