Agronomy Journal Journal of Natural Resources and Life Sciences Education
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Published in Agron. J. 97:514-523 (2005).
© American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA

Spatial Variability

Management, Topographical, and Weather Effects on Spatial Variability of Crop Grain Yields

A. N. Kravchenkoa,*, G. P. Robertsonb, K. D. Thelena and R. R. Harwooda

a Dep. of Crop and Soil Sci., Michigan State Univ., East Lansing, MI, 48824-1325
b W.K. Kellogg Biol. Stn. and Dep. of Crop and Soil Sci., Michigan State Univ., Hickory Corners, MI 49060-9516

* Corresponding author (kravche1{at}msu.edu)

Received for publication April 26, 2004. The quantitative characterization of spatiotemporal variability in crop grain yields is an important component for successful precision-agriculture applications. The objective of this study was to analyze and quantify effects of management practices, topographical features, and weather conditions on spatial variability of crop yields. A one-factor randomized complete block design experiment with six replications was established at the Long Term Ecological Research site in southwest Michigan in 1988. The treatments used in this study were two treatments with conventional chemical inputs (chisel plow and no-till) and two organic-based chisel-plowed treatments with a winter leguminous cover crop (low chemical input and zero chemical input). The data consisted of corn (Zea mays L.)–soybean [Glycine max (L.) Merr.]–wheat (Triticum aestivum L.) yields collected via combine monitors from 1996 to 2001. We observed that stressful conditions, regardless of the stress origin, were associated with increase in the overall yield variability (coefficient of variation) as well as the small-scale yield variability (variogram values at short lag distances and variogram slopes near the origin) with yields probably being more sensitive to the small-scale variations in growth conditions due to soil and microtopographical differences. Coefficients of variation were as high as 45% in years with low precipitation and as low as 14% in years with above-average precipitation. During the years with low precipitation, both the coefficients of variation and the small-scale variability were often significantly higher in the zero chemical input treatment than in the treatments that received fertilizer inputs. The coefficients of variation and the small-scale variability parameters also tended to be higher in corn stressed by antagonism from previous wheat crop in the no-till treatment.

Abbreviations: ChiselConv-T1, chisel-plowed treatment with conventional chemical inputs • ChiselLow-T3, chisel-plowed treatment with low chemical input and a winter leguminous cover crop • ChiselNoChem-T4, organic-based chisel plowed with zero chemical input and a winter leguminous cover crop • CV, coefficient of variation • LTER, Long Term Ecological Research (site) • NoTillConv-T2, no-till treatment with conventional chemical inputs • Var1.5, general relative variogram value at lag distance 1.5 m




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