Fig. 5: Stomatal conductance can be measured at plant level in an indoor phenotyping platform and predicted from genomic information.
From: Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field
a Comparison between values obtained at leaf level via gas exchange, and at plant level via inversion of the Penman-Monteith equation14, in well-watered and water deficit treatments. b Comparison of observed mean genotypic values and mean (G-BLUP) predicted values in a 5-fold cross-validation scheme with 10 iterations for plant stomatal conductance. In a and b, each symbol, one genotype; blue, well-watered; red, water deficit. In a, black line, linear regression. In b, black line is the 1:1 line. In a, r = 0.92 (95% CI = 0.83–0.96), n = 26, df = 24, p-value = 2.4E-11, CVRMSE = 13%. In b, r = 0.56 (95% CI = 0.47–0.63), n = 302, df = 293, p-value < 2.2E-16, CVRMSE = 8.4%. Significance of the correlation coefficients was tested using two-sided t-test. For rho and other statistics, see Supplementary Table 5. Source data are provided as a Source Data file.
