Atenas Tapia-Rodríguez, J. F. Ramírez-Dávila, Alfredo Ruiz-Orta, D. K. Figueroa-Figueroa, A.D. Acosta-Guadarrama
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In order to measure the incidence, 48 fruits were selected from every tree. Using these data, the experimental semivariogram was estimated, and adjustments were made to models that explain the spatial arrangement. Maps were created using ordinary kriging, and the infection area was estimated. The maps generated show the presence of aggregation centers and a spatial distribution mostly fitting Gaussian and exponential models, with ranges fluctuating between 12 and 56 m, indicating spatial association between data. Likewise, the greatest percentage of infected areas was 98 %, while the lowest was 45 %. 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引用次数: 0
摘要
炭疽病是由 Colletotrichum spp.引起的一种真菌病害,影响鳄梨(Persea americana Mill.)作物,给农业部门造成重大经济损失。为了使控制措施有的放矢,必须了解该病害在田间条件下的空间分布和动态变化。使用空间统计方法有助于完成这项任务。本研究的目的是利用地理统计和距离指数空间分析,确定墨西哥墨西哥州多纳托-格拉市(Donato Guerra)Persea americana Mill.在该市地区选取了 400 棵树并进行了地理坐标定位。为了测量发病率,从每棵树上选取了 48 个果实。利用这些数据估算了实验半变量图,并对解释空间排列的模型进行了调整。使用普通克里金法绘制了地图,并估算了感染面积。生成的地图显示存在聚集中心,空间分布大多符合高斯和指数模型,范围在 12 至 56 米之间波动,表明数据之间存在空间关联。同样,疫区所占比例最大为 98%,最小为 45%。地质统计学有助于准确了解墨西哥州牛油果种植区炭疽病等病害的分布模式,从而更有效地实施综合管理计划。
SPATIAL ANALYSIS OF ANTHRACNOSE IN AVOCADO (Persea americana Mill.) IN DONATO GUERRA, MEXICO
Anthracnose is a fungal disease caused by Colletotrichum spp. that affects the avocado (Persea americana Mill.) crop and causes significant economic losses in the farming sector. To focus control measures, it is important to understand the spatial distribution and the dynamics followed by the disease under field conditions. The use of methods derived from spatial statistics facilitates this task. The aim of this study was to determine the spatial behavior of anthracnose in Persea americana Mill. cv. Hass in Donato Guerra, a municipality in the State of Mexico, Mexico, using a geostatistical and spatial analysis by distance indices. Four hundred trees were selected and georeferenced in the municipal area. In order to measure the incidence, 48 fruits were selected from every tree. Using these data, the experimental semivariogram was estimated, and adjustments were made to models that explain the spatial arrangement. Maps were created using ordinary kriging, and the infection area was estimated. The maps generated show the presence of aggregation centers and a spatial distribution mostly fitting Gaussian and exponential models, with ranges fluctuating between 12 and 56 m, indicating spatial association between data. Likewise, the greatest percentage of infected areas was 98 %, while the lowest was 45 %. Geostatistics enables a precise understanding of the distribution patterns of diseases such as anthracnose in avocado-growing areas of the State of Mexico, which facilitates the implementation of integrated management programs with greater effectiveness.