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Subjects Triticum aestivum Remove constraint Triticum aestivum: Triticum aestivum Subjects Zea mays Remove constraint Zea mays: Zea mays Subjects prediction Remove constraint prediction: prediction

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1. A Model for Prediction of Heat Stability of Photosynthetic Membranes

Description:: Includes references
Author:: Ristic, Z. , Bukovnik, U. , Prasad, P.V.V. , West, M.
Subject:: Triticum aestivum , winter wheat , Triticum turgidum , Zea mays , corn , thylakoids , photosynthesis , heat stress , air temperature , simulation models , prediction , fluorescence , chlorophyll , species differences , cell membranes
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2008

2. Climate change impacts on soil erosion in Midwest United States with changes in crop management

Description:: Includes references
Author:: O'Neal, M.R. , Nearing, M.A. , Vining, R.C. , Southworth, J. , Pfeifer, R.A.
Subject:: climate change , soil erosion , crop yield , planting date , crop rotation , Zea mays , Glycine max , Triticum aestivum , agricultural runoff , precipitation , temperature , soil erosion models , prediction , Water Erosion Prediction Project , simulation models , climate models , Midwestern United States
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2005

3. Effectiveness of the soil conditioning index as a carbon management tool in the southeastern USA based on comparison with EPIC

Description:: Includes references
Author:: Abrahamson, D.A. , Norfleet, M.L. , Causarano, H.J. , Williams, J.R. , Shaw, J.N. , Franzluebbers, A.J.
Subject:: carbon sequestration , soil organic carbon , conventional tillage , no-tillage , crop rotation , Gossypium hirsutum , cotton , Cynodon dactylon , grasses , Zea mays , corn , Triticum aestivum , wheat , cover crops , crop yield , water use efficiency , soil properties , prediction , simulation models , Southeastern United States , Texas , Georgia , South Carolina
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2007

4. Evaluating and predicting agricultural management effects under tile drainage using modified APSIM

Description:: Includes references
Author:: Malone, R.W. , Huth, N. , Carberry, P.S. , Ma, L. , Kaspar, T.C. , Karlen, D.L. , Meade, T. , Kanwar, R.S. , Heilman, P.
Subject:: agricultural soils , tile drainage , leaching , nitrates , losses from soil , continuous cropping , crop rotation , crop yield , Zea mays , Glycine max , simulation models , prediction , winter wheat , Triticum aestivum , water quality , Iowa
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2007

5. Scaling Effects of Standing Crop Residues on the Wind Profile

Description:: Includes references
Author:: Aiken, R.M. , Nielsen, D.C. , Ahuja, L.R.
Subject:: stubble , wind , algorithms , equations , prediction , accuracy , surface roughness , Triticum aestivum , Zea mays , Panicum miliaceum , Helianthus annuus , canopy , stems , corn , wheat , millets , mathematical models , wind speed
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

6. Simulation of within-canopy radiation exchange

Description:: Includes references
Author:: Flerchinger, G.N. , Xiao, W. , Sauer, T.J. , Yu, Q.
Subject:: canopy , energy transfer , energy balance , microclimate , simulation models , Zea mays , Glycine max , corn , soybeans , Triticum aestivum , wheat , leaves , solar radiation , evapotranspiration , soil-plant-atmosphere interactions , vegetation structure , prediction , equations
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2009