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Different Techniques to Identify Management Zones Impact Nitrogen and Phosphorus Sampling Variability

Jiyul Changa, David E. Clay*,a, Charles G. Carlsona, Sharon A. Claya, Douglas D. Maloa, Robert Bergb, Jon Kleinjana and William Wieboldc

a Plant Science Dep., South Dakota State Univ., Brookings, SD 57007
b Southeast Research Farm, South Dakota Agric. Exp. Stn., South Dakota State Univ., Beresford, SD 57004
c Univ. of Missouri, Columbia, MO 65211



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Fig. 1. Black-and-white images (top) collected from the Brookings, SD, field in 1956 and (bottom) a near-infrared image collected in May 2001.

 


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Fig. 2. The selected data layers and classification maps for Moody, SD, are: (a) Olsen-P contour map, (b) black-and-white aerial photo collected in 1984, (c) management zones based on geographic information systems (GIS) analysis of electrical conductivity (EC) and elevation information, (d) management zones based on cluster analysis of EC and elevation information, (e) management zones based on an Order 1 soil survey, and (f) management zones based on GIS analysis of EC and distance information. For c, d, e, and f each color represents a different management zone.

 





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