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Delineating productivity zones in a citrus grove using citrus production, tree growth and temporally stable soil data

机译:使用柑桔产量,树木生长和时间稳定的土壤数据描绘柑桔树林的生产力区

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The productivity of a citrus grove with variation in tree growth was mapped to delineate zones of productivity based on several indicator properties. These properties were fruit yield, ultrasonically measured tree canopy volume, normalized difference vegetation index (NDVI), elevation and apparent electrical conductivity (ECa). The spatial patterns of soil series, soil color and ECa, and their correspondence with the variation in yield emphasized the importance of variation in the soil in differentiating the productivity of the grove. Citrus fruit yield was positively correlated with canopy volume, NDVI and ECa, and yield was negatively correlated with elevation. Although all the properties were strongly correlated with yield and were able to explain the productivity of the grove, citrus tree canopy volume was most strongly correlated (r = 0.85) with yield, explaining 73% of its variation. Tree canopy volume was used to classify the citrus grove into five productivity zones termed as ‘very poor’, ‘poor’, ‘medium’, ‘good’ and ‘very good’ zones. The study showed that productivity of citrus groves can be mapped using various attributes that directly or indirectly affect citrus production. The productivity zones identified could be used successfully to plan soil sampling and characterize soil variation in new fields.
机译:根据几个指标属性,将树木生长变化的柑橘树的生产力映射到描绘生产力的区域。这些特性包括水果产量,超声波测量的树冠体积,归一化差异植被指数(NDVI),海拔和表观电导率(EC a )。土壤系列,土壤颜色和EC a 的空间格局及其与产量变化的对应关系强调了土壤变化对区分小树林生产力的重要性。柑桔产量与冠层体积,NDVI和EC a 正相关,产量与海拔高度呈负相关。尽管所有特性都与产量密切相关,并且能够解释小树林的生产力,但柑桔树冠层体积与产量之间的相关性最高(r = 0.85),可以解释其变化的73%。树木冠层的体积用于将柑橘树分为五个生产力区域,分别称为“非常贫穷”,“贫穷”,“中等”,“好”和“非常好”。研究表明,可以使用直接或间接影响柑橘产量的各种属性来绘制柑橘树的生产力。确定的生产力区可以成功地用于计划土壤采样和表征新田地的土壤变化。

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