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相关矩阵分析法是在《多因子综合相关法》和《加权列联表分析法》的基础上加以改进,采用了代表性更好的列联系数作为相关权重,并引入了更符合其运算规律的矩阵乘法,因而进一步提高了准确率,简化了计算步骤。 本文介绍相关矩阵分析法对二代(即棉田一代)棉铃虫进行多级预测。 资料的筛选与分级: 一般上代残虫基数是影响下代发生量的主要因子,但由于当地早期主要寄主(豌豆)极少,棉铃虫第一代的田间幼虫量很难确定,
Correlation matrix analysis method is based on the “multi-factor comprehensive correlation method” and “weighted contingency table analysis method” based on improved, using the representative of a better cohort coefficient as the relevant weight, and introduced more in line with its law of operation Matrix multiplication, thus further improving the accuracy, simplifying the calculation steps. This article describes the correlation matrix analysis of the second generation (ie, cotton field) cotton bollworm multi-level forecast. Data screening and grading: Generally, the generational rootstock number is the main factor affecting the generation of the next generation. However, due to the very few early host hosts (peas), the amount of first-generation larvae of cotton bollworm is difficult to determine.