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Systems for predicting fertilizer N rates on dryland winter wheat (Triticum aestivum L) in Montana have needed refinement for several years. The objective of this study was to develop a comprehensive N fertilizer management model for dryland winter wheat based on soil properties and climatic factors. Data for multiple regression analysis were gathered from 47 locations rep resenting 4 growing seasons. A stepwise multiple linear regression technique was used to generate equations for predicting optimum grain yield, grain protein content at optimum yield levels, N fertilizer rate needed to achieve optimum yield, post-harvest soil NO3-N in surface 30 an of soil, and grain yield and protein content without N fertilization. Statistically significant equations were developed for all functions except post-harvest NO3-N when excessive N fertilizer rates were used. Growing season rainfall, pan evaporation rate, soil temperature, initial soil NO3-N, soil organic matter content, available soil water, grain yield, and grain protein content were the important variables.
Key Words: Grain yield and protein prediction Post-harvest soil NO3-N Soil properties Climatic factors Stepwise multiple linear regression
2 Former graduate student and professor of soils, respectively. Present address of senior author: Montana Cooperative Service, Montana State Univ., Bozeman, MT 59715.
Received for publication May 5, 1976.
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