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Spatial analysis for management zone delineation in a humid tropic cocoa plantation

机译:热带潮湿可可林人工林管理区划定的空间分析

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Identifying spatio-temporal patterns of key soil properties could ensure efficient management and input use in agricultural fields with possible increase in yields. A multi-variate geostatistical approach was used to characterize the spatio-temporal variability of the key soil variables to determine management zones in a cocoa field (5.81 ha). One hundred and twenty soil samples were collected. Additionally, a total of nine apparent electrical conductivity (ECa) sampling campaigns at shallow, ECas (0-0.75 m) and deep, ECad (0.75-1.5 m) were conducted with a DUALEM-1S EC meter at the International Cocoa GeneBank, Trinidad between 2009 and 2010. ECad and ECas gave the strongest linear correlation with clay-silt content (r = 0.67 and r = 0.78, respectively) and soil solution electrical conductivity (ECe), ECe (r = 0.76 and r = 0.60, respectively). Multiple linear regressions indicated that clay-silt content and ECe dominated the signal surface response of both ECad and ECas accounting for 66.7 and 63.2 % of ECa variability, respectively. Spearman's rank correlation coefficients (r(s)) ranged between 0.89 and 0.97 for ECad and 0.81 and 0.95 for ECas signifying strong temporal stability. Since ECas covers the depth where cocoa feeder roots concentrate, ECas of the wettest month surveyed (August 2009) was used as secondary data in cokriging to improve the spatial and temporal estimation of clay-silt content and ECe. Cokriged data was subjected to fuzzy cluster classification using the Management Zone Analyst software. Two was determined to be the optimum number of management zones. This zone delineation potentially facilitates cost-effective, environmentally friendly and energy efficient management of the field.
机译:确定关键土壤特性的时空格局可以确保有效管理和投入农业生产,并可能增加产量。使用多变量地统计方法来表征关键土壤变量的时空变化,以确定可可田(5.81公顷)的管理区。收集了120个土壤样品。此外,在特立尼达的国际可可基因银行使用DUALEM-1S EC测量仪在浅层ECas(0-0.75 m)和深层ECad(0.75-1.5 m)上总共进行了9次表观电导率(ECa)采样活动。在2009年至2010年之间。ECad和ECas与黏土粉含量(分别为r = 0.67和r = 0.78)以及土壤溶液电导率(ECe),ECe(分别为r = 0.76和r = 0.60)之间的线性关系最强。 。多元线性回归表明,粘土淤泥含量和ECe主导着ECad和ECas的信号表面响应,分别占ECa变异性的66.7和63.2%。 Spearman的秩相关系数(r(s))对于ECad为0.89至0.97,对于ECas为0.81至0.95,表明时间稳定性强。由于ECas覆盖了可可豆根部集中的深度,因此,在调查的最湿月份(2009年8月)的ECas被用作辅助克里金法中的次要数据,以改善粘土-淤泥含量和ECe的时空估算。使用Management Zone Analyst软件对混合的数据进行模糊聚类分类。确定两个为管理区域的最佳数量。该区域划分潜在地促进了该领域的成本效益,环境友好和能源高效管理。

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