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1. Adapting CROPGRO for simulating spring canola growth with both RZWQM2 and DSSAT 4.0

Description:
Includes references
Author:
Saseendran, S.A. , Nielsen, D.C. , Ma, L. , Ahuja, L.R.
Subject:
Brassica napus , canola , plant growth , simulation models , crop models , crop acreage , cropping systems , crop yield , agroecological zones , climatic factors , Root Zone Water Quality Model , decision support systems , technology transfer , soil water content , phenology , leaf area index , dry matter accumulation , height , irrigated farming , model validation , calibration , cultivars , accuracy , seasonal growth , Colorado
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2010

2. Testing DAYCENT Model Simulations of Corn Yields and Nitrous Oxide Emissions in Irrigated Tillage Systems in Colorado

Description:
In the special issue: the 4th USDA Greenhouse Gas Symposium. Paper presented at the 4th USDA Greenhouse Gas Symposium "Positioning Agriculture and Forestry to meet the Challenges of Climate Change", February 6-8, 2007, Baltimore, Maryland.
Author:
Del Grosso, S.J. , Halvorson, A.D. , Parton, W.J.
Subject:
irrigated farming , crop models , simulation models , gas emissions , nitrous oxide , crop yield , corn , Zea mays , agricultural soils , greenhouse gases , conventional tillage , soil organic carbon , no-tillage , nitrogen fertilizers , biogeochemical cycles , nitrogen , meteorological data , soil texture , land management , soil water content , estimation , nitrates , nitrification , model validation , soil microorganisms , community structure , Colorado
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2008

3. Using EPIC model to manage irrigated cotton and maize

Description:
Includes references
Author:
Ko, Jonghan , Piccinni, Giovanni , Steglich, Evelyn
Subject:
Gossypium hirsutum , cotton , Zea mays , corn , irrigated farming , crop management , crop models , decision support systems , decision making , irrigation management , crop yield , water use efficiency , evapotranspiration , calibration , phenology , Texas
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Year:
2009