Plant Phenomics / 2019 / Article / Fig 4

Research Article

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

Figure 4

Spearman rank correlation obtained after random forest model prediction (seed yield = dependent variable) performance of predictors trained with remotely sensed phenomic traits (canopy traits, waveband, vegetation indices, and combination) in 292 soybean genotypes grown at six environments and data collected at two growth stages in each environment. Error bars represent standard deviation around the mean.