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United States Department of Agriculture

Agricultural Research Service

Title: Linking Within-Field Crop Response with Soil Characteristics

Authors
item Kaul, Monisha
item Walthall, Charles
item Pachepsky, Yakov
item Timlin, Dennis

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: October 1, 2002
Publication Date: November 10, 2002
Citation: Kaul, M., Walthall, C.L., Pachepsky, Y.A., Timlin, D.J. 2002. Linking within-field crop response with soil characteristics [abstract]. In: Abstracts of Agronomy Socieity of America, Soil Science Society of America, Crop Science Society of America, Annual Meeting, November 10-15, 2002. Indianapolis, Indiana [CDROM].

Technical Abstract: Management zones for precision farming can be determined by identifying areas where soil, water, and management factors result in similar crop responses. Given the spatial distribution of LAI of a field, factors determining response patterns may be obtained via inversion of a model linking environmental factors with LAI. Soil water holding capacity (SWHC) is critical for determining crop response in non-irrigated fields and is therefore a major consideration when delineating crop response zones. Multiple linear regression (MLR), a neural network, a crop growth simulation model, and regression trees were tested for their ability to estimate LAI from SWHC, soil depth, slope, and leaf count using two years of data collected at the USDA-ARS in Beltsville, MD. Simulated LAI versus SWHC relationships were then compared to observed relationships for both years. The LAI and SWHC relationship appeared to fit a nonlinear function. Neural network and regression tree models resulted in R-square values ranging from 0.60 to 0.85. The MLR and simulation models resulted in r-squares ranging from 0.33 to 0.68. The latter two techniques were deemed inadequate for predicting LAI.

Last Modified: 4/19/2014
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