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United States Department of Agriculture

Agricultural Research Service

Research Project: Enhancing Water Conservation and Crop Productivity in Irrigated Agriculture

Location: Water Management and Conservation Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Lesquerella seed and oil yield response to split-applied N fertilizer - (Peer Reviewed Journal)
Jiangang, L., Bronson, K.F., Thorp, K.R., Mon, J., Mohammad, B., Mccloskey, W., Ray, D.T., Qingquan, C., Guangyao, W. 2014. Lesquerella seed and oil yield response to split-applied N fertilizer. Industrial Crops and Products. 60:273-279.
Development and application of process-based simulation models for cotton production: A review of past, present, and future directions - (Peer Reviewed Journal)
Thorp, K.R., Ale, S., Bange, M.P., Barnes, E.M., Hoogenboom, G., Lascano, R.J., Mccarthy, A.C., Nair, S., Paz, J.O., Rajan, N., Reddy, K.R., Wall, G.W., White, J.W. 2014. Development and application of process-based simulation models for cotton production: A review of past, present, and future directions. Journal of Cotton Science. 18:10-47.
Wetted-perimeter dependent furrow infiltration and its implication for the hydraulic analysis of furrow irrigation systems - (Proceedings)
Bautista, E., Warrick, A.W., Schlegel, J.L. 2014. Wetted-perimeter dependent furrow infiltration and its implication for the hydraulic analysis of furrow irrigation systems. Proceedings of the World Environmental and Water Resources Congress Conference. p. 1-12.
Cultivar and nitrogen fertilizer rate affect yield and nitrogen use efficiency in irrigated durum wheat - (Peer Reviewed Journal)
Liang, Z., Bronson, K.F., Thorp, K.R., Mon, J., Badaruddin, M., Wang, G. 2014. Cultivar and nitrogen fertilizer rate affect yield and nitrogen use efficiency in irrigated durum wheat. Crop Science. 54:1175-1183.
Multiple leaf measurements improve effectiveness of the cholorophyll meter in drum wheat nitrogen management - (Peer Reviewed Journal)
Wang, G., Bronson, K.F., Thorp, K.R., Mon, J., Badaruddin, M. 2014. Multiple leaf measurements improve effectiveness of the cholorophyll meter in drum wheat nitrogen management. Crop Science. 54:817-826.
Effects of nitrogen and planting seed size on cotton growth, development, and yield - (Peer Reviewed Journal)
Main, C.L., Barber, L.T., Bowman, R.K., Chapman, K., Dodds, D.M., Duncan, S., Edmisten, K.L., Horn, P., Jones, M.A., Morgan, G.D., Norton, E.R., Osborne, S., Whitaker, J.R., Nichols, R.L., Bronson, K.F. 2013. Effects of nitrogen and planting seed size on cotton growth, development, and yield. Agronomy Journal. 105:1853-1859.
A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations - (Peer Reviewed Journal)
(05-Sep-13)
Geospatial simulation: an open-source, model-independent geospatial tool for managing point-based environmental models at multiple spatial locations - (Abstract Only)
Thorp, K.R., Bronson, K.F. 2013. Geospatial Simulation: An open-source, model-independent geospatial tool for managing point-based environmental models at multiple spatial locations. Agro-Ecosystems Modelling International Congress Proceedings. 50:25-36.
A book review of Spatial data analysis in ecology and agriculture using R - (Review Article)
Thorp, K.R. 2013. A book review of Spatial data analysis in ecology and agriculture using R. Field Crops Research. 149:261.
Current developments in software for surface irrigation analysis:winSRFR4/SRFR5 - (Proceedings)
Bautista, E., Strelkoff, T., Schlegel, J.L. 2012. Current developments in software for surface irrigation analysis:WinSRFR4/SRFR5. Proceedings of the World Environmental and Water Resources Congress Conference. p. 2128-2137.
Relationship between cotton yield and soil electrical conductivity, topography, and landsat imagery     Reprint Icon - (Peer Reviewed Journal)
Guo, W., Maas, S.J., Bronson, K.F. 2012. Relationship between cotton yield and soil electrical conductivity, topography, and landsat imagery. Precision Agriculture. doi:10.1007/s11119-012-9277-2.
Last Modified: 8/1/2014
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