Figure 2 | Scientific Reports

Figure 2

From: Evaluating maize and soybean grain dry-down in the field with predictive algorithms and genotype-by-environment analysis

Figure 2

Parameterization of the dry-down models with various x-explanatory variables: days after physiological maturity (day), relative humidity (h), temperature (t), wind speed (w) and their combinations, using the training dataset (see Table 1). Model fit was evaluated using Akaike information criterion (AIC), Bayesian information criterion (BIC), modeling efficiency (M_Eff), adjusted coefficient of determination (r2_adj), and root mean square error (RMSE). Dark blue shading indicates better fit. Measured data are represented with open circles, while solid lines show fitted models.

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