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Dependency of Cotton Leaf Nitrogen, Chlorophyll, and Reflectance on Nitrogen and Potassium Availability

Dep. of Plant and Soil Sci., Mississippi State Univ., Mississippi State, MS 39762

View larger version (20K): [in a new window]   Fig. 1. Graphical illustration of the standard error of prediction (SEP) vs. the number of factors used in the partial least-squares regression model.

View larger version (23K): [in a new window]   Fig. 2. Mean spectral reflectance of recently matured cotton leaves for each N rate at first bloom in 2000 with 112 kg K ha–1.

View larger version (22K): [in a new window]   Fig. 3. Predicted vs. actual leaf N concentrations at first bloom in 2000 obtained using partial least-squares regression to relate spectral reflectance data in the visible/near-infrared wavelength range to the reference leaf N values. The graphed line represents a 1:1 relationship. SEP, standard error of prediction.

View larger version (22K): [in a new window]   Fig. 4. Predicted vs. actual leaf N concentrations at peak bloom in 2000 obtained using partial least-squares regression to spectral reflectance data in the visible/near-infrared wavelength range to the reference leaf N values. The graphed line represents a 1:1 relationship. SEP, standard error of prediction.

View larger version (27K): [in a new window]   Fig. 5. Reflectance spectra and red-edge (re) shift for healthy and N-deficient leaves with an adequate supply of K at (left) first bloom and (right) peak bloom in 2000.