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Study the Spatial-Temporal Variation of Wheat Growth Under Different Site-Specific Nitrogen Fertilization Approaches

机译:研究不同位点特异性氮肥方法下小麦生长的空间变化

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Many variable fertilization approaches based on 'real-time' crop N status were developed for making N fertilizer management in precision agriculture. Unfortunately, to date, only few papers reported the effect of variable fertilization algorithms on the spatial and temporal variability of crop parameters. Based on these problems, this study designed three different variable fertilization algorithms based on vegetation index (Y), SPAD (S) and crop growth model (Z), respectively, with uniform fertilization and no fertilization as controls. Results showed that wheat growth had strong spatial dependence, which become stronger after fertilization. Wheat yield also had strong spatial dependence. There were some similar spatial distribution between NDVIs, soil TN and yield, indicating that spatial variability of yield had strong relationship with crop growth status and soil TN content. The site-specific fertilization treatment based on crop growth model (Z) had the best adjustment capacity to promote crop growth and yield, and reduce their spatial variation, compared with other fertilization treatments.
机译:基于“实时”作物N地位的许多可变施肥方法是开发用于在精密农业中进行N肥料管理。迄今为止,迄今为止,只有很少的论文报告了可变施肥算法对作物参数的空间和时间变异性的影响。基于这些问题,该研究分别设计了基于植被指数(Y),SPAD和作物生长模型(Z)的三种不同的可变施肥算法,其具有均匀的施肥,并且无菌作为对照。结果表明,小麦生长具有强烈的空间依赖性,受精后变得更强。小麦产量也具有很强的空间依赖性。 NDVIS,土壤TN和产量之间存在一些类似的空间分布,表明产量的空间变异与作物生长状态和土壤TN含量有很强的关系。与其他施肥治疗相比,基于作物生长模型(Z)的特异性施肥治疗具有最佳的调整能力,并降低其空间变异,与其他受精处理相比。

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