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为了科学管理谷田杂草,探索谷田单子叶杂草对谷子的危害特征。采用田间小区试验和SPSS18.0非线性回归分析的方法,对几个主要的经验模型进行模拟和比较。结果表明:谷子产量损失率与单子叶杂草密度呈极显著正相关;幂双曲线函数模型拟合优度最大,高达99.6%,残差平方和(23.947)最小,是模拟单子叶杂草与谷子竞争关系的最优模型。预测式为Y=d0.083/(0.793+0.013d0.083),单子叶杂草种间最大竞争力和种内竞争力分别为1.2610和0.0164,谷子产量最大损失率为76.92%,弹性系数r=0.083<1,谷子产量损失率随单子叶杂草密度的增加而减速增加。本研究将为谷田单子叶杂草综合治理提供理论支撑。
In order to scientifically manage the weeds in the valley, we explore the damage characteristics of the monocotyledonous weeds to the millet. Field experiment and SPSS18.0 nonlinear regression analysis were used to simulate and compare several major empirical models. The results showed that the yield loss of millet was significantly and positively correlated with the density of monocotyledonous weeds. The power hyperbola function model had the highest goodness of fit (up to 99.6%) and the smallest sum of squared residuals (23.947) The Optimal Model of Millet Competition. The prediction formula was Y = d0.083 / (0.793 + 0.013d0.083). The maximum and intraspecific competitiveness of monocotyledonous weed species were 1.2610 and 0.0164, respectively, and the maximum loss rate of millet was 76.92%. The elastic coefficient r = 0.083 <1, the yield loss of millet increased with the increase of monocotyledon weed density. This study will provide theoretical support for the comprehensive management of monocotyledonous weeds.