Plant Phenomics / 2020 / Article / Fig 1

Research Article

Ground-Based LiDAR Improves Phenotypic Repeatability of Above-Ground Biomass and Crop Growth Rate in Wheat

Figure 1

Phenotypic correlations, at individual sampling events, of the best linear unbiased predictors of genotype effects (BLUPs) for the three experiments: (a) GES15, (b) Yan16, and (c) Yan17. AGB: above-ground biomass; GAI: green area index; LAI: leaf area index; LiDAR biomass indices (3D vegetation index (3DVI) and 3D profile index (3DPI)); NDVI: normalized difference vegetation index; LiDAR crop height. For (a) GES15 and (c) Yan17, the sampling date is indicated and the phenological growth stage is shown in parentheses. For (b) Yan16, the phenological growth stage (GS) is indicated, and for AGB sampled at GS65, entries were sampled on the actual date they reached anthesis (or within two days of); therefore, the lines were sampled on different dates. 3DVI, 3DPI, NDVI, and height were interpolated between individual sampling events for the GS65 date of each entry.