墨西哥州“哈斯”鳄梨上黑圆蚧的空间行为

Nancy Martínez-Martínez, J. F. Ramírez-Dávila, J. Mejía-Carranza, Sara Vera-Noguez
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引用次数: 0

摘要

牛油果出口受到牛油果半虫的影响,主要危害是美观和破坏果实品质。目的:确定墨西哥州“哈斯”鳄梨作物中黑圆蚧的空间分布。方法:实验在三个鳄梨种植区(Coatepec Harinas, Donato Guerra和Ixtapan del Oro)进行。采用样方法进行采样,从2019年8月至2020年7月,每个区共采样400棵树。树木被分为三层(高、中、低),并从每个基点标记一个终端分支。每棵树都用差分GPS进行了标记和地理参考。结果:每个区域共生成24个样本,所有样本均具有聚集的白圆蚧空间行为。半变分函数拟合到球形、指数和高斯模型中。研究的局限性:地质统计学是在密度图中提供害虫和样本准确位置的唯一方法。原创性:本研究建议实施综合管理策略,以减少因滥用杀虫剂和水果残留而造成的生态破坏。结论:本研究通过对墨西哥州3个“哈斯”牛油果产区的密度图,了解了牛油果半虫的空间分布,发现其空间分布较为集中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial behaviour of Hemiberlesia lataniae (Signoret) on ‘Hass’ avocado in Estado de Mexico
Introduction: Avocado exports have been affected by the presence of Hemiberlesia lataniae, the main damage is aesthetic and undermines fruit quality. Objective: To determine the spatial distribution of Hemiberlesia lataniae in a ‘Hass’ avocado crop in Estado de Mexico. Methodology: The experiment was developed in three avocado growing areas (Coatepec Harinas, Donato Guerra and Ixtapan del Oro). Sampling was carried out using the quadrat methodology, a total of 400 trees were sampled per zone from August 2019 to July 2020. The trees were divided into three strata (high, medium and low), and a terminal branch from each cardinal point was marked. Each tree was marked and georeferenced with a differential GPS. Results: A total of 24 samples per zone were generated, and all cases had an aggregated spatial behavior of Hemiberlesia lataniae. Semivariograms were fitted to spherical, exponential, and Gaussian models. Limitation of the study: Geostatistics is the only method that provides the exact location of the pest and the sample in density maps. Originality: The present study proposes to implement integrated management strategies to reduce ecological damage, due to indiscriminate use of insecticides, and presence of residues in fruits. Conclusions: The following study allowed us to know the spatial distribution of Hemiberlesia lataniae by means of density maps in three ‘Hass’ avocado producing areas in Estado de Mexico, where an aggregated spatial distribution was observed.
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