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a Texas A&M Univ., current address: Dept. of Soil Science, North Carolina State Univ., Raleigh, NC 27695
b Texas A&M UniversityUSDA-ARS, 3810 4th Street, Lubbock, TX 79415
c Texas A&M University, 1509 Aggie Drive, Beaumont, TX 77713
d Texas A&M Univ., Rt. 3, Box 219, Lubbock, TX 79403
e Economics, Texas Tech University, Lubbock, TX 79409
* Corresponding author (r-lascano{at}tamu.edu)
Field heterogeneity in soil texture and site elevation (SE) may affect crop water and N use. A 2-yr (19981999) study was conducted on the Texas High Plains to determine the interdependence between management (irrigation and N fertilization), soil heterogeneity (texture, soil water, and NO3-N) and topography, and their impact on cotton (Gossypium hirsutum L.) lint yield and N uptake. Treatments were irrigation at 50 and 75% estimated cotton evapotranspiration (ET) and N rates at 0, 90, and 135 kg ha-1. Soil water content (SWC), lint yield, N uptake, and N fertilizer recovery, measured as a function of management and space, were higher on low positions. Mixed model analysis showed that irrigation was significant on SWC, lint yield, and N uptake (P < 0.05) each year. The N treatment had no effect on lint yield or N uptake in 1998 because of high soil residual NO3-N, and the model residual was significant for all measured variables (P < 0.0001). Sand, SWC, lint yield, and N uptake were negatively correlated with SE (r
-0.64). In 1998, lint yield, SWC, clay, sand, and SE were cross correlated within 60 to 80 m. Multivariate state-space analysis showed that lint yield at position i was weighted on lint yield, SWC, clay, sand, and SE at previous position i - 1. It is concluded that 75% ET and N rate at 90 kg ha-1 would be the basis to consider variable water and N rates related to field conditions, and the state-space model quantified spatial interdependence between irrigation, fertilization, and field heterogeneity.
Abbreviations: ET, evapotranspiration ICB, incomplete block design LEPA, Low Energy Precision Application RE, relative elevation SD, standard deviation SE, site elevation SWC, soil water content
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