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Subjects crop yield Remove constraint crop yield: crop yield Subjects irrigated farming Remove constraint irrigated farming: irrigated farming Subjects phenology Remove constraint phenology: phenology

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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. Crop Coefficients Specific to Multiple Phenological Stages for Evapotranspiration-based Irrigation Management of Onion and Spinach

Description:: Includes references
Author:: Piccinni, Giovanni , Ko, Jonghan , Marek, Thomas , Leskovar, Daniel I.
Subject:: Allium cepa , onions , Spinacia oleracea , spinach , crop production , crop yield , irrigated farming , irrigation management , soil water content , measurement , lysimeters , phenology , seasonal variation , developmental stages , evapotranspiration , soil-plant-atmosphere interactions , water use efficiency , plant growth , Texas
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2009

3. Genotypic Differences in Current Peanut (Arachis hypogaea L.) Cultivars in Phenology and Stability of These Traits under Different Irrigation Scheduling Methods

Description:: Includes references
Author:: Rowland, D.L. , Beasley, J.P. Jr. , Faircloth, W.H.
Subject:: Arachis hypogaea , peanuts , phenology , genetic variation , genotype , irrigation scheduling , irrigated farming , environmental factors , genotype-environment interaction , prediction , crop yield , plant growth , plant architecture , cultivars , plant development , rain , irrigation rates , leaf area index , dry matter accumulation , stable isotopes , water use efficiency , pods , dry matter partitioning , Georgia
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2010

4. 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