首页|棉蚜群体在棉花上的时空分布规律及数量监测模型研究

棉蚜群体在棉花上的时空分布规律及数量监测模型研究

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为准确地获得棉蚜发生量情况,本试验通过对棉株不同部位的棉蚜数量进行调查,采用不同部位棉蚜数量与单株、百株棉蚜数量构建一元线性回归模型(SLR),以实现棉蚜发生量的快速监测预测.结果表明,棉蚜数量随着时间的推移呈现先增加后降低的趋势,大部分分布在上部叶片以及茎秆上,中部较少.在单株棉蚜数量模型中,基于上层茎秆(S1)、下层叶片(L3)变量所建立模型的效果最好;在构建的百株棉蚜数量模型中,基于中层茎秆(S2)、上层叶片(L1)和下层茎秆(S1)变量所建立模型的效果最好.单株棉蚜数量模型精度更高,'新陆中 81 号'不同部位预测单株棉蚜数量和百株棉蚜数量的精度较好,能够很好地用来预测棉蚜数量.
Study on the spatiotemporal distribution pattern and quantity monitoring model of cotton aphid population on cotton
In order to accurately obtain the occurrence of cotton aphids,this experiment investigated the number of cotton aphids in different parts of the cotton plant.A linear regression model(SLR)was constructed using the number of cotton aphids in different parts and the number of cotton aphids per plant or per hundred plants to achieve rapid monitoring and prediction of cotton aphid occurrence.The results showed that cotton aphids showed a trend of first increasing and then decreasing over time,with most of them distributed on the upper leaves and stems,and fewer in the middle.In the model of the number of cotton aphids per plant,the model based on upper stem(S1)and lower leaf(L3)variables has the best effect.In the single plant cotton aphid quantity model,the model based on the variables of upper stem(S1)and lower leaf(L3)has the best performance;In the constructed model for the number of 100 cotton aphids,the model based on the variables of middle stem(S2),upper leaf(L1),and lower stem(S1)showed the best performance.The accuracy of the single plant cotton aphid quantity model is higher,and the accuracy of predicting the single plant cotton aphid quantity and the hundred plant cotton aphid quantity in different parts of'Xinluzhong 81'is better,which can be well used to predict the cotton aphid quantity.

cotton aphidpopulationspatiotemporal distributionmodelcotton

张家琪、王磊、王玉龙、胡强、林皎

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塔里木大学农学院/南疆干旱区特色作物遗传改良与高效生产兵团重点实验室,新疆 阿拉尔 843300

棉蚜 种群数量 时空分布 模型 棉花

2024

塔里木大学学报
塔里木大学

塔里木大学学报

CHSSCD
影响因子:0.313
ISSN:1009-0568
年,卷(期):2024.36(4)