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采用均匀设计方法,通过播期、密度、水肥管理等措施创造不同的玉米生长状态,在动态调查玉米关键生育时期生长及穗粒形成的基础上,建立玉米穗粒数与干物质积累、出苗-吐丝持续时间、比茎重(单位茎长的干物质重)的关系模型,模型模拟的相对误差(RE)为0.08%,相关系数(R)为0.857,模拟值与观测值吻合度高,拟合效果显著。模型预测效果的t测验表明,预测值与观测值之间没有显著性差异,方程可以很好地预测玉米穗粒数。通过对玉米穗粒数形成过程的分析表明,模型变量基本反映了玉米穗粒数决定过程涉及的因素,从统计学及生物学方面均能较好地解释玉米穗粒数的形成。本研究也建立了玉米比茎重与种植密度的关系模型,两者在9叶期、12叶期和吐丝期均呈负相关关系,模型的拟合及预测效果较好。
A uniform design method was adopted to create different growth states of maize through sowing date, density, water and fertilizer management and other measures. On the basis of dynamic investigation of growth and spike grain formation during the critical growth period of maize, grain number per spike and dry matter accumulation, The relative error (RE) of model simulation was 0.08%, the correlation coefficient (R) was 0.857, the simulated value was in good agreement with the observed value, Fitting effect is remarkable. The t-test of model predictive results shows that there is no significant difference between the predicted value and the observed value, and the equation can predict the grain number per ear well. The analysis of the formation process of corn grains per spike showed that the model variables basically reflected the factors involved in the process of determining the number of grains per ear and explained the formation of grains per spike from the aspects of statistics and biology. In this study, the relationship model between the stem weight and plant density was also established. The results showed that there was a negative correlation between 9-leaf stage, 12-leaf stage and silking stage.