Cotton lint yield variability in a heterogeneous soil at a landscape scale |
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Authors: | Hong Li Robert J. Lascano Jill Booker L. Ted Wilson Kevin F. Bronson |
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Affiliation: | a Texas A & M University, Rt. 3, Box 219, Lubbock, TX 79403, USA b Texas A & M University-USDA-ARS, 3810 4th Street, Lubbock, TX 79415, USA c Texas A & M University, 1509 Aggie Drive, Beaumont, TX 77713, USA |
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Abstract: | Landscape variability associated with topographic features affects the spatial pattern of soil water and N redistribution, and thus N uptake and crop yield. A landscape-scale study was conducted in a center pivot irrigated field on the southern High Plains of Texas in 1999 to assess soil water, soil NO3-N, cotton (Gossypium hirsutum L.) lint yield, and N uptake variability in the landscape, and to determine the spatial correlation between these landscape variables using a state-space approach. The treatments were irrigation at 50 and 75% cotton potential evapotranspiration (ET). Neutron access tubes were placed at a 15-m interval along a 710 m (50% ET) and 820 m (75% ET) transect across the field. Soil NO3-N in early spring was autocorrelated at a distance varying between 60 and 80 m. Measured soil volumetric water content (WC), total N uptake, and lint yield were generally higher on lower landscape positions. Cotton lint yield was significantly correlated to soil WC (r=0.76), soil NO3-N (r=0.35), and site elevation (r=−0.54). Differences of site elevation between local neighboring points explained the soil water, NO3-N and lint yield variability at the micro-scale level in the landscape. Soil WC, cotton lint yield, N uptake, and clay content were crosscorrelated with site elevation across a lag distance of ±30–40 m. The state-space analysis showed that cotton lint yield was positively weighted on soil WC availability and negatively weighted on site elevation. Cotton lint yield state-space models give insights on the association of soil physical and chemical properties, lint yield, and landscape processes, and have the potential to improve water and N management at the landscape-scale. |
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Keywords: | Author Keywords: Landscape-scale Soil heterogeneity Water NO3-N Cotton lint yield N uptake Clay Site elevation State-space analysis |
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