SSSAJ Journal of Natural Resources and Life Sciences Education
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Published online 27 October 2006
Published in Soil Sci Soc Am J 70:2154-2160 (2006)
DOI: 10.2136/sssaj2005.0244
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Nutrient Management & Soil & Plant Analysis

Spatially Variable Corn Yield is a Weak Predictor of Optimal Nitrogen Rate

Peter C. Scharfa,*, Newell R. Kitchenb, Kenneth A. Sudduthb and J. Glenn Davisc

a Plant Sciences Division, Univ. of Missouri, Columbia, MO 65211
b USDA-ARS, Cropping Systems and Water Quality Research Unit, Columbia, MO 65211
c USDA-NRCS, Columbia, MO 65203

* Corresponding author (scharfp{at}missouri.edu)

Historically, a mass-balance approach (yield goal times a factor) has been the dominant method for making N fertilizer rate recommendations. Although several states have moved away from the mass-balance approach for N rate recommendations for corn (Zea mays L.), much of the effort that has gone into variable-rate N research has focused on combining spatial yield predictions with a mass-balance approach. Our objectives were to evaluate, at field scale, the relationship between spatially variable yield levels and economically optimal N fertilizer rates (EONR) and to evaluate the performance of yield-based N rate recommendations. Eight experiments were conducted in three major soil areas (Mississippi delta alluvial, deep loess, claypan) over 3 yr. Treatments were field-length strips of discrete N rates from 0 to 280 kg N ha–1. Yield data were partitioned into 20-m increments and a quadratic-plateau function was used to describe yield response to N rate for each 20-m yield cell. The EONR varied much more widely than did plateau yield. Yield level explained on average only 15% of the variability in EONR. Averaged over the eight fields, variable application of mass-balance-based N rates based on actual yields would have increased yield by only 31 kg ha–1, and profit by $2 ha–1, relative to uniform mass-balance N rates based on field average yields. In comparison, variable-rate application of EONR would have increased profit by an average of $38 ha–1. Of this, $14 ha–1 could have been obtained by uniform application of the median optimal N rate for each field. We conclude that although we observed considerable spatial variability in optimal N rates, this was due mainly to variations in soil N supply and N uptake efficiency, rather than to variations in crop demand for N. Yield variability appears to be at best a small part of the information that must be used to make successful variable-rate N recommendations for corn.

Abbreviations: EONR, economically optimal N rate







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