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针对小麦发育后期茎秆抗倒伏性问题,首先运用了数理统计与分析的相关知识,建立了各品种小麦的抗倒伏指数模型并对其进行了求解;其次,通过建立相关性系数模型并结合SPSS软件分析研究了抗倒伏指数与茎秆外部形态特征之间的关系;然后,建立了以抗倒伏能力最强和经济系数最大为目标的双目标优化模型来确定不同单穗重小麦的理想株型结构;最后,建立了基于力学分析的小麦茎秆抗倒伏性能的综合评价模型与抗倒伏风速模型.
In order to solve the problem of stem lodging resistance in the late stage of wheat development, the lodging index model of wheat was established by using the relevant knowledge of mathematical statistics and analysis. Secondly, by establishing the correlation coefficient model and combining SPSS The relationship between the lodging resistance index and the morphological characteristics of stems was analyzed by software. Then, a dual-objective optimization model with the highest anti-lodging ability and the largest economic coefficient was established to determine the ideal plant type Structure. Finally, a comprehensive evaluation model and lodging wind speed model of lodging resistance of wheat stem were established based on mechanical analysis.