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A Hybrid Artificial Intelligence Model for Aeneolamia varia (Hemiptera: Cercopidae) Populations in Sugarcane Crops
Journal of Insect Science ( IF 2.2 ) Pub Date : 2021-02-25 , DOI: 10.1093/jisesa/ieab017
Luis Figueredo 1 , Adriana Villa-Murillo 2 , Yelitza Colmenarez 3 , Carlos Vásquez 3, 4
Affiliation  

Sugarcane spittlebugs are considered important pests in sugarcane crops ranging from the southeastern United States to northern Argentina. To evaluate the effects of climate variables on adult populations of Aeneolamia varia (Fabricius) (Hemiptera: Cercopidae), a 3-yr monitoring study was carried out in sugarcane fields at week-long intervals during the rainy season (May to November 2005–2007). The resulting data were analyzed using the univariate Forest-Genetic method. The best predictive model explained 75.8% variability in physiological damage threshold. It predicted that the main climatic factors influencing the adult population would be, in order of importance, evaporation; evapotranspiration by 0.5; evapotranspiration, cloudiness at 2:00 p.m.; average sunshine and relative humidity at 8:00 a.m. The optimization of the predictive model established that the lower and upper limits of the climatic variables produced a threshold in the population development rate of 184 to 267 adult insects under the agroecological conditions of the study area. These results provide a new perspective on decision-making in the preventive management of A. varia adults in sugarcane crops.

中文翻译:

甘蔗作物 Aeneolamia varia(半翅目:Cercopidae)种群的混合人工智能模型

甘蔗臭虫被认为是从美国东南部到阿根廷北部的甘蔗作物中的重要害虫。为了评估气候变量对 Aeneolamia varia (Fabricius) (Hemiptera: Cercopidae) 成年种群的影响,在雨季期间(2005 年 5 月至 2007 年 11 月)每隔一周在甘蔗田进行为期 3 年的监测研究)。使用单变量森林遗传方法分析所得数据。最佳预测模型解释了生理损伤阈值的 75.8% 可变性。它预测影响成年人口的主要气候因素将是蒸发,按重要性排序;蒸散量减少 0.5;蒸散量,下午 2:00 多云;上午 8:00 的平均日照和相对湿度 预测模型的优化确定了气候变量的上下限在研究区农业生态条件下对184至267只成虫的种群发展率产生了一个阈值。这些结果为甘蔗作物中变种曲霉成虫的预防性管理决策提供了新的视角。
更新日期:2021-02-25
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