Fig. 4: Genotypic values of leaf area index (LAI) measured in the field were correlated with values of LAI derived via a crop model taking into account traits measured indoor and environmental data measured in the considered field.
From: Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field
a well-watered; b water-deficit. Field values (on y axis) were obtained at flowering time from UAV images via inversion of the model PROSAIL41, 42. Values on x axis were obtained via the crop model of Lacube et al.11, fed with measured values of (i) environmental conditions in the same field, (ii) genotypic values measured in the platform for leaf appearance rate (LAR), maximum leaf growth rate (LER), responses of leaf growth rate to vapor pressure deficit (VPD) and soil water potential, and final leaf number per plant. Each point, one genotype. In a, r = 0.64 (95% CI = 0.45-0.78), n = 51, df = 49, p-value = 3.6E-07, CVRMSE = 15.7%. In b, r = 0.44 (95% CI = 0.18–0.64), n = 51, df = 49, p-value = 1.3E-03, CVRMSE = 19.6%. Significance of the correlation coefficients was tested using two-sided t-test. For rho and other statistics, see Supplementary Table 4. Source data are provided as a Source Data file.
