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Analysis of the spatial variability of crop yield and soil properties in small agricultural plots

机译:小农区作物产量和土壤特性的空间变异性分析

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The objective of this study was to assess spatial variability of soil properties and crop yield under no tillage as a function of time, in two soil/climate conditions in S?o Paulo State, Brazil. The two sites measured approximately one hectare each and were cultivated with crop sequences which included corn, soybean, cotton, oats, black oats, wheat, rye, rice and green manure. Soil fertility, soil physical properties and crop yield were measured in a 10-m grid. The soils were a Dusky Red Latossol (Oxisol) and a Red Yellow Latossol (Ultisol). Soil sampling was performed in each field every two years after harvesting of the summer crop. Crop yield was measured at the end of each crop cycle, in 2 x 2.5 m sub plots. Data were analysed using semivariogram analysis and kriging interpolation for contour map generation. Yield maps were constructed in order to visually compare the variability of yields, the variability of the yield components and related soil properties. The results show that the factors affecting the variability of crop yield varies from one crop to another. The changes in yield from one year to another suggest that the causes of variability may change with time. The changes with time for the cross semivariogram between phosphorus in leaves and soybean yield is another evidence of this result.
机译:这项研究的目的是在巴西圣保罗州的两种土壤/气候条件下,评估免耕条件下土壤性质和作物产量的空间变异性随时间的变化。这两个地点的面积分别约为1公顷,并以包括玉米,大豆,棉花,燕麦,黑燕麦,小麦,黑麦,水稻和绿肥的农作物序列进行耕种。在10米长的网格中测量土壤肥力,土壤物理性质和农作物产量。土壤是暗红色拉托索尔(Oxisol)和红色黄色拉托索尔(Ultisol)。夏季作物收获后每两年在每个田间进行土壤采样。在每个作物周期结束时以2 x 2.5 m的子图测量作物产量。使用半变异函数分析和克里金插值法对数据进行分析,以生成等高线图。为了直观地比较产量的变化,产量成分的变化和相关的土壤特性,绘制了产量图。结果表明,影响作物产量变异性的因素因作物而异。从一年到另一年的产量变化表明,变化的原因可能会随时间而变化。叶片中磷与大豆产量的交叉半变异函数随时间的变化是该结果的另一个证据。

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