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土壤物理性质纵剖面空间变异性。

Spatial variability of soil physical properties in longitudinal profiles.

机构信息

Universidade Federal de Lavras/ UFLA, Departamento de Engenharia Agrícola, Campus Universitário, Av. Sul UFLA, sn, Aquenta Sol, 37200-000 Lavras, MG, Brazil.

Universidade Estadual de Santa Cruz/UESC, Departamento de Ciências Agrárias e Ambientais, Campus Soane Nazaré de Andrade, Rod. Jorge Amado, Km 16, 45662-900 Salobrinho, Ilhéus, BA, Brazil.

出版信息

An Acad Bras Cienc. 2022 Mar 25;94(2):e20200411. doi: 10.1590/0001-3765202220200411. eCollection 2022.

Abstract

The spatial variability of physical properties, such as bulk density, penetration resistance and gravimetric moisture, obtained by applying geostatistics in precision agriculture, can effectively indicate the physical behavior of agricultural soils in longitudinal profiles. In this way, the spatial dependence of physical properties in streets of coffee plantations with different lengths was evaluated in the southern Minas Gerais, Brazil. For this purpose, five longitudinal profiles were measured in streets, each one with depths ranging from 0 to 0.60 m, in six layers of 0.10 m, being the database composed of 432 property, 144 by property, submitted to the ordinary kriging geostatistical method in order to obtain spatial variability maps using the R software. They were evaluated by the lower mean cross-validation error of theoretical models fitted by ordinary least squares (OLS), being detected in higher superficial layers, from 0 to 0.30 m, lower bulk density and lower penetration resistance, with variable gravimetric moisture in the length direction of some streets of coffee plantations, being that these properties presented different structures of spatial dependence for each street.

摘要

应用于精准农业的地统计学可以有效地表示农业土壤在纵剖面中的物理行为,其可以用来确定物理特性(如体积密度、贯入阻力和重量湿度)的空间变异性。本文以巴西米纳斯吉拉斯南部的不同长度咖啡种植园街道为例,评估了物理特性的空间相关性。为此,在街道上测量了五个纵剖面,每个剖面的深度范围从 0 到 0.60 米,分为 0.10 米的 6 层,数据库由 432 个属性和 144 个属性组成,使用 R 软件进行普通克里金地质统计方法,以获得空间变异性图。使用普通最小二乘(OLS)拟合的理论模型的较低平均交叉验证误差对其进行了评估,在较高的表层(0 至 0.30 米)中检测到,土壤体积密度和贯入阻力较低,一些咖啡种植园街道的重量湿度在长度方向上存在变化,这些特性对于每条街道的空间相关性都具有不同的结构。

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