Using EPIC model to manage irrigated cotton and maize

Agricultural Water Management

Volumn 96, Issue 9, 2009, Pages 1323-1331

  Ko, Jonghan ^a   Piccinni, Giovanni ^b   Steglich, Evelyn ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b MONSANTO COMPANY   (United States)

^c BLACKLAND RESEARCH AND EXTENSION CENTER   (United States)

Author keywords

Crop evapotranspiration; Crop model; EPIC; Irrigation management

Indexed keywords

CROP COEFFICIENT; CROP EVAPOTRANSPIRATION; CROP MODEL; CROP PRODUCTION; CROP WATER USE; CROP YIELD; DECISION SUPPORT TOOLS; DEFICIT IRRIGATION; ENVIRONMENTAL POLICY INTEGRATED CLIMATE MODELS; EPIC; EPIC MODEL; FIELD SAMPLING; IRRIGATED COTTON; IRRIGATION MANAGEMENT; IRRIGATION REGIMES; SIMULATION MODEL; SIMULATION RESULT; WATER-USE EFFICIENCY; YIELD RESPONSE;

ARTIFICIAL INTELLIGENCE; BIOCHEMICAL OXYGEN DEMAND; COTTON; CULTIVATION; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; ENVIRONMENTAL PROTECTION; EVAPOTRANSPIRATION; IRRIGATION; LYSIMETERS; SIMULATORS; SOIL SURVEYS; WATER SUPPLY;

CROPS;

COTTON; CROP YIELD; DECISION SUPPORT SYSTEM; ECOLOGICAL MODELING; EVAPOTRANSPIRATION; IRRIGATION; MAIZE; MEASUREMENT METHOD; MODEL VALIDATION; WATER MANAGEMENT; WATER USE EFFICIENCY;

NORTH AMERICA; TEXAS; UNITED STATES;

GOSSYPIUM HIRSUTUM; ZEA MAYS;

EID: 65849156535     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2009.03.021     Document Type: Article

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