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Delineation of management zones with soil apparent electrical conductivity to improve nutrient management

机译:划定具有土壤表观电导率的管理区,以改善养分管理

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Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determining subfield areas is difficult bEC(a)use of complex correlations and the spatial variability of soil properties and nutrient concentrations, responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties and nutrients, and a tool for the delimitation of homogeneous zones. Two field sites with several soil series were studied in southeastern Cordoba Province, Argentina. Soil properties and nutrient concentrations were compared with ECa using principal components (PC)stepwise regression and ANOVA. The PC-stepwise regression showed that soil properties (pH, EC1:2.5, CEC, SOM) and nutrients (Ne2+, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2) are key loading factors to explain the ECa (R-2 > 0.90). In contrast, K+, P, NO3--N and SO4-2-S), content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited two homogeneous soil zones associated with the spatial distribution of soil properties and some nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ce+2, Zn+2, Fe+2). These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.
机译:特定地点的管理要求识别具有均一特征(管理区域)的子区域。但是,要确定子田地面积是困难的,因为要使用复杂的相关性以及土壤特性和养分浓度的空间变异性,这是造成田间农作物产量变化的原因。我们评估了表观电导率(ECa)是否是土壤性质和养分的潜在估计值,以及划定均质区的工具。在阿根廷科尔多瓦省东南部研究了具有几种土壤系列的两个野外地点。使用主成分(PC)逐步回归和ANOVA,将土壤性质和养分含量与ECa进行比较。 PC逐步回归显示土壤性质(pH,EC1:2.5,CEC,SOM)和养分(Ne2 +,Mg + 2,Mn + 2,Cu + 2,Ca + 2,Zn + 2,Fe + 2)为解释ECa的关键负载因子(R-2> 0.90)。相反,K +,P,NO3--N和SO4-2-S的含量不能解释ECa。方差分析表明,ECa测量成功地划定了两个与土壤特性和某些养分(Na + 2,Mg + 2,Mn + 2,Cu + 2,Ce + 2,Zn + 2,Fe + 2)。这些结果表明,现场规模的ECa地图具有设计采样区以实施特定于站点的管理策略的潜力。

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