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1. Assessment of Soil Testing As It Relates to Corn Ear Leaf Nutrition in the MidwestSoil testing for P, K and Zn for corn production the Midwest is based on the probability of crop yield response to an applied fertilizer and not on crop nutritional status. Results of three years of observational data from 98 field sites show soil test M3-K only predicted 26% of the variability in ear leaf K at growth stage R1-R2, whereas K base fraction (KBF) predicted 44% of the ear leaf variability and 56% of the variability in the ear leaf K:Mg ratio. Soil M3-P was inconsistent in predicting... R. Miller |
2. Optimizing Irrigation and Fertilizer Management in Cotton to Increase Nitrogen Use EfficiencyNitrogen (N) fertilizer is an important nutrient in cotton production, and if the optimal amount is not applied yield penalty may occur (Hutmacher et al. 2004). A more efficient application of N fertilizer based on plant N requirements, soil texture, and N availability can increase cotton yield and N-use efficiency (NUE). The main objective of this research was to determine the relationship between cotton lint yield and normalized difference vegetation index (NDVI) across multiple irrigation levels,... A. Bumguardner, T. Wheeler, K. Lewis |
3. Relationship Between Plant Nitrogen and NDVI of Cotton on the Texas High PlainsNitrogen (N) is one of the most limiting factors in Texas High Plains cotton production (Bronson et al., 2001). Nitrogen build-up in cotton is near maximum for the season at first open boll, when leaf senescence begins (Li et al., 2001). Lint yield response to N is difficult to predict due to N response relying on water management and initial soil nitrate (NO3--N) (Morrow and Krieg, 1990). Normalized difference vegetative index (NDVI) is a tool that has been used to manage... A. Bumguardner, K. Lewis, G. Ritchie, K. Bronson, M. Maeda |