MODEL OF PRODUCTIVITY ELEMENTS VARIATION IN MAIZE UNDER THE INFLUENCE OF SILICON TREATMENT
Abstract
The study evaluated the influence of silicon (Si) on the productivity elements of corn cobs, the Lovrin 400 hybrid. Very high correlations were found between Si and Ccw (r=0.967), Si and Gw (r=0.900); high correlation between Si and CvG (r=-0.873), and medium, respectively low correlations between Si and Md (r=0.878), Si and Bd (r=0.785), Si and Cw (r=0.624), Si and L (r=0.561). Very high and high correlations have been recorded between L and Cw (r=0.959), Bd and CvG (r=-0.963), Bd and Cw (r=0.908), Ccw and Gw (r=0.977), CvG and Ccw (r=-0.819), and respectively between CvG and Cw (r=-0.841). Polynomial equations facilitated the estimation of Gw according to Ccw (p<<0.001, R2=0.951, F=136.63, RMSE=6.089), according to Bd (p<<0.001, R2=0.701, F=25.738, RMSE=15.0927), and accordint to L (p<<0.001, R2=0.584, F=15.414, RMSE=17.7996).
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