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Toward the Discrimination of Manganese, Zinc, Copper, and Iron Deficiency in `Bragg' Soybean Using Spectral Detection Methods

Matthew L. Adamsa, Wendell A. Norvellb, William D. Philpotc and John H. Peverlyd

a CSIRO Land and Water, Private Bag, P.O., Wembley 6014, WA, Australia
b USDA Plant, Soil & Nutrition Lab., Tower Rd., Ithaca, NY 14853 USA
c Dep. of Civil and Environmental Engineering, Hollister Hall, Cornell University, Ithaca, NY 14853 USA
d Dep. of Soil, Crop & Atmospheric Sciences, Bradfield Hall, Cornell University, Ithaca, NY 14853 USA



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Fig. 1 The 68.3% contour (i.e., 1 SD) for the bivariate normal distributions of yellowness index (top) and Fo/F5min (bottom) vs. Fo/Fv for observations from Mn, Zn, Cu, Fe, and control groups from the training data set. The coordinates of the center of each ellipse are the respective means for each variable. The number of observations used to derive the ellipses are 24 for Mn, 10 for Zn, 13 for Cu, 10 for Fe, and 110 for controls

 





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