Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains

Limited water supplies for agriculture in the Texas High Plains will require new irrigation technologies and techniques for agriculture to continue in this area. The potential for using one such technology, site-specific irrigation, was evaluated using the Cotton2k crop simulation model. This model...

Full description

Bibliographic Details
Main Author: Clouse, Randy Wayne
Other Authors: Searcy, Stephen W.
Format: Others
Language:en_US
Published: Texas A&M University 2007
Subjects:
Online Access:http://hdl.handle.net/1969.1/5887
id ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-5887
record_format oai_dc
spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-58872013-01-08T10:38:52ZSpatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High PlainsClouse, Randy Waynecrop modelglobal optimizationdeficit irrigationcottonLimited water supplies for agriculture in the Texas High Plains will require new irrigation technologies and techniques for agriculture to continue in this area. The potential for using one such technology, site-specific irrigation, was evaluated using the Cotton2k crop simulation model. This model and two other simulation models were evaluated for their ability to track water movement and usage over three growing seasons. The models were tested for sites in Lubbock and Hale County, Texas. Cotton2k performed well compared to the other two models on tests of cumulative evapotranspiration and applied water yield relations and equal to the other models for tracking soil water profiles. A global optimization method, simulated annealing, was tested for its ability to spatially calibrate soil water parameters of Cotton2k. The algorithm found multiple parameter sets for the same objective function results. This result runs contrary to expectations for the simulated annealing algorithm, but is possibly from the relationship between available water capacity and crop yield. The annealing algorithm was applied to each sampling point at the Hale County site and improved yield predictions for 32 of 33 points as compared to simulations made with soil textural information alone. The spatially calibrated model was used with historic weather from five seasons to evaluate a site-specific strategy where water was shifted from lower to higher yielding areas of fields. Two irrigation strategies, one with irrigations weekly and one with irrigations applied when 30% of available water was depleted, were tested. With sitespecific management, the weekly interval strategy produced higher yields for two of three water levels, as compared to uniform management. With the soil moisture depletion strategy, site-specific management produced lower yields than uniform management for all three water levels examined. Yield improvement and water savings were also demonstrated for implementing site-specific irrigation when non-producing portions of fields were previously being watered.Texas A&M UniversitySearcy, Stephen W.2007-09-17T19:36:45Z2007-09-17T19:36:45Z2003-052007-09-17T19:36:45ZBookThesisElectronic Dissertationtext1163356 byteselectronicapplication/pdfborn digitalhttp://hdl.handle.net/1969.1/5887en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic crop model
global optimization
deficit irrigation
cotton
spellingShingle crop model
global optimization
deficit irrigation
cotton
Clouse, Randy Wayne
Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
description Limited water supplies for agriculture in the Texas High Plains will require new irrigation technologies and techniques for agriculture to continue in this area. The potential for using one such technology, site-specific irrigation, was evaluated using the Cotton2k crop simulation model. This model and two other simulation models were evaluated for their ability to track water movement and usage over three growing seasons. The models were tested for sites in Lubbock and Hale County, Texas. Cotton2k performed well compared to the other two models on tests of cumulative evapotranspiration and applied water yield relations and equal to the other models for tracking soil water profiles. A global optimization method, simulated annealing, was tested for its ability to spatially calibrate soil water parameters of Cotton2k. The algorithm found multiple parameter sets for the same objective function results. This result runs contrary to expectations for the simulated annealing algorithm, but is possibly from the relationship between available water capacity and crop yield. The annealing algorithm was applied to each sampling point at the Hale County site and improved yield predictions for 32 of 33 points as compared to simulations made with soil textural information alone. The spatially calibrated model was used with historic weather from five seasons to evaluate a site-specific strategy where water was shifted from lower to higher yielding areas of fields. Two irrigation strategies, one with irrigations weekly and one with irrigations applied when 30% of available water was depleted, were tested. With sitespecific management, the weekly interval strategy produced higher yields for two of three water levels, as compared to uniform management. With the soil moisture depletion strategy, site-specific management produced lower yields than uniform management for all three water levels examined. Yield improvement and water savings were also demonstrated for implementing site-specific irrigation when non-producing portions of fields were previously being watered.
author2 Searcy, Stephen W.
author_facet Searcy, Stephen W.
Clouse, Randy Wayne
author Clouse, Randy Wayne
author_sort Clouse, Randy Wayne
title Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
title_short Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
title_full Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
title_fullStr Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
title_full_unstemmed Spatial application of a cotton growth model for analysis of site-specific irrigation in the Texas High Plains
title_sort spatial application of a cotton growth model for analysis of site-specific irrigation in the texas high plains
publisher Texas A&M University
publishDate 2007
url http://hdl.handle.net/1969.1/5887
work_keys_str_mv AT clouserandywayne spatialapplicationofacottongrowthmodelforanalysisofsitespecificirrigationinthetexashighplains
_version_ 1716503676751708160