Table 1
Description of the nine experiments, sowing and harvesting dates, sowing time, genotypes, and growth variables evaluated, between 2014 and 2020, Curitibanos, SC, Brazil.
Table 2
Indices of goodness of fit: intrinsic non-linearity (cI) and parametric (cθ), adjusted coefficient of determination (R2adj), random standard error (RSE), standard deviation of fit (SDF), Akaike information criterion (AIC) and Bayesian information criterion (BIC), in the non-linear logistic model, in the growing years from 2014 to 2020, for the variables plant height, number of leaves, total dry mass and number of secondary stems.
Table 3
Indices of the goodness of fit: intrinsic (cI) and parametric (cθ) non-linearity, adjusted coefficient of determination (R2adj), random standard error (RSE), standard deviation of fit (SDF), Akaike information criterion (AIC), and Bayesian information criterion (BIC), in the logistic non-linear model, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the plant height variable.
Table 4
Estimation parameters β1, β2, and β3 and critical points: inflection point (IP), maximum acceleration point (MAP), maximum deceleration point (MDP), and asymptotic deceleration point (ADP), in the logistic non-linear model, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the plant height variable.
Table 5
Indices of the goodness of fit: adjusted coefficient of determination (R2adj), random standard error (RSE), standard deviation of fit (SDF), Akaike information criterion (AIC), and Bayesian information criterion (BIC), in the logistic non-linear model, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the total dry mass variable.
Table 6
Estimation parameters β1, β2, and β3 and critical points: inflection point (IP), maximum acceleration point (MAP), maximum deceleration point (MDP) and asymptotic deceleration (ADP), in the non-linear logistic model, after meeting the quality indices, for the Aguará INTA and Caburé INTA cultivars and Golden variety, for the variable total dry mass.
Table 7
Indices of the goodness of fit: adjusted coefficient of determination (R2adj), random standard error (RSE), standard deviation of fit (SDF), Akaike information criterion (AIC), and Bayesian information criterion (BIC), in the logistic non-linear model, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the variable number of leaves.
Table 8
Estimation parameters β1, β2, and β3 and critical points: inflection point (IP), maximum acceleration point (MAP), maximum deceleration point (MDP) and asymptotic deceleration (ADP), in the logistic non-linear model, after meeting the quality indices, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the variable number of leaves.
Table 9
Indices of the goodness of fit: adjusted coefficient of determination (R2adj), random standard error (RSE), standard deviation of fit (SDF), Akaike information criterion (AIC) and Bayesian information criterion (BIC) in the logistic non-linear model, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the variable number of secondary stems.
Table 10
Estimation parameters β1, β2, and β3 and critical points: inflection point (IP), maximum acceleration point (MAP), maximum deceleration point (MDP) and asymptotic deceleration (ADP), in the logistic non-linear model, after meeting the quality indices, for the Aguará INTA and Caburé INTA cultivars and Golden and Brown varieties, for the variable number of secondary stems.