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Using a topographic factor to explain soil and cotton lint variability in the landscape

机译:使用地形因素来解释景观中的土壤和棉花棉绒可变性

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A landscape-scale study conducted in a center pivot irrigated field in Lamesa on the southern High Plains of Texas showed that site elevation affected the spatial pattern of soil water content (SWC), soil NO_3-N, total N uptake, and lint yield of cotton (Gossypium hirsutum L.), irrigated with 50 percent and 75 percent cotton potential evapotranspiration (ET). In this study, soil and cotton crop variables were measured on a 15-m interval along a 710 m (50 percent ET) and 820 m (75 percent ET) transect across the field. Geostatistical methods (autocorrelation and crosscorrelation analysis), and multivariate autoregressive state-space analysis were used to quantify and describe the spatial association of soil water, sand, N uptake, and lint yield with site elevation. Here we use a topographic factor, determined from neighboring site slopes, to explain variability of SWC, cotton N uptake, and lint yield measured in this landscape-scale study. The coefficient of determination (R~2) increased when thetopographic factor was included in the regression of lint yield vs. N uptake. This simple method gives insights on the association of soil water and N use with site elevation and slope in a large field.
机译:在德克萨斯州南高平原的洛杉矶中央枢轴灌溉场中进行的景观规模研究表明,部位高程影响了土壤含水量(SWC)的空间模式,土壤NO_3-N,总净吸收和棉绒产量棉花(Gossypium hirsutum L.),灌溉了50%和75%的棉潜力蒸散(ET)。在本研究中,沿着710米(50%et)和820米(75%et)横跨该领域的横断面的横跨该域,测量土壤和棉花作物变量。地质统计方法(自相关和互相关分析),和多变量回归状态空间分析被用来量化和描述土壤水,沙子的空间关联,N摄取,并与现场高程皮棉产量。在这里,我们使用从相邻网站斜率确定的地形因素,以解释在这种景观级研究中测量的SWC,棉N吸收和棉绒收益的可变性。当棉绒产率与N吸收的回归时,测定系数(R〜2)增加。这种简单的方法在大场中提供了对土壤水和地区高度和坡度的洞察的见解。

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