Abstract:

This article explain the influence of meteorological factors to the empty corn rate and the relationship between the factors through correlation analysis and regression analysis of 18 meteorological stations of spring maize empty corn rate and meteorological factors, so as to control or reduce the occurrence of empty corn and provide theoretical basis. Results show that the empty corn rate is in a significant positive correlation with seedling precipitation >25 mm days (Xa3), spike period accumulated temperature (Xc5); the empty corn rate is in a significant negative correlation with panicle stage rainfall >25 mm days (Xc3), ratooning buds of rain >0.1 mm days (Xd2) and the average daily temperature (Xd4). Regression analysis results show that the size coefficient Xa3, Xd4 in the model in significant highest, Xc3, Xc5, Xd2 significant is relatively low. Regression equation quantified empty corn rate and meteorological factors, and influence within meteorological factors, this conclusion could be used to alleviate empty corn loss and guiding corn variety extension.