Replicability of nitrogen recommendations from ramped calibration strips in winter wheat

Roberts, David C. and Brorsen, B. Wade and Taylor, Randal K. and Solie, John B. and Raun, William R. (2011): Replicability of nitrogen recommendations from ramped calibration strips in winter wheat. Published in: Precision Agriculture , Vol. 5, No. 12 (2011): pp. 653-655.

Abstract

Ramped calibration strips have been suggested as a way for grain producers to determine nitrogen needs more accurately. The strips use incrementally increasing levels of nitrogen and enable producers to conduct an experiment in each field to determine nitrogen needs. This study determines whether predictions from the program Ramp Analyzer 1.2 are replicable in Oklahoma hard red winter wheat (Triticum aestivum). Predictions are derived from 36 individual strips from on-farm experiments—two pairs of adjacent strips at each of nine winter wheat fields in Canadian County, OK. The two pairs of strips within each field were between 120 and 155 m apart. Each strip was analyzed three times during the 2006–2007 growing season. Nitrogen recommendations from Ramp Analyzer 1.2 are not correlated even for strips that were placed side by side, and recommendations from strips in the same field show no more homogeneity than randomly selected strips throughout the county. The results indicate that ramped calibration strips are unlikely to produce accurate nitrogen requirement predictions at any spatial scale, whether at the county level or for subsections of a single field. In contrast, a procedure that uses only measures from the plot with no nitrogen and the plot with the highest level of nitrogen applied does show replicability. Thus, improvements in the ramped calibration strip technology are needed if it is to become viable.

• Item Type: MPRA Paper
• Language: English
• Keywords: Fertilizer; Nitrogen; Precision agriculture; Ramped calibration strip; Winter wheat
• Subjects: N - Economic History > N5 - Agriculture, Natural Resources, Environment, and Extractive Industries

References

Arnall, D.B., Edwards, J.T., & Godsey, C.B. (2008). Reference strip series: Applying your nitrogen-rich and ramped calibration strips. Oklahoma Cooperative Extension Service Fact Sheet CR-2255, Stillwater,OK, USA.

Babcock, B.A. (1992). The effects of uncertainty on optimal nitrogen applications. Review of Agricultural Economics, 14, 271–280.

Bakker, M.M., Govers, G., Ewert, F., Rounsevell, M., & Jones, R. (2005). Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding. Agriculture, Ecosystems and Environment, 110, 195–209.

Batte, M.T. (2000). Factors influencing the profitability of precision farming systems. Journal of Soil and Water Conservation, 55, 12–18.

Biermacher, J., Epplin, F.M., Brorsen, B.W., Solie, J.B., & Raun, W.R. (2009). Economic feasibility of site-specific optical sensing for managing nitrogen fertilizer for growing wheat. Precision Agriculture, 10, 213–230.

Blackmer, T.M., Schepers, J.S., Varvel, G.E., & Meyer, G.E. (1996). Analysis of aerial photography for nitrogen stress within corn fields. Agronomy Journal, 88, 729–733.

Boyer, C.N., Brorsen, B.W., Solie, J.B., & Raun, W.R. (2010). Profitability of variable rate nitrogen application in wheat production. Precision Agriculture. http://dx.doi.org/10.1007/s11119-010-9190-5.

Cassman, K.G., Peng, S., Olk, D.C., Ladha, J.K., Reichardt, W., Doberman, A., et al. (1998). Opportunities for increased nitrogen-use efficiency from improved resource management in irrigated rice systems. Field Crops Research, 56, 7–39.

Coelli, T. (1996). A guide to FRONTIER version 4.1: A computer program for frontier production and cost function estimation. CEPA working paper 96/07. Armidale, Australia: University of New England.

Easterling, W.E., Weiss, A., Hays, C.J., & Mearns, L.O. (1998). Spatial scales of climate information for simulating wheat and maize productivity: The case of the US Great Plains. Agricultural and Forest Meteorology, 90, 51–63.

Greene, W.H. (2008). Econometric analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.

Greenhalgh, S., & Faeth, P. (2001). A potential integrated water quality strategy for the Mississippi River Basin and the Gulf of Mexico. The Scientific World, 1, 976–983.

Large, E.C. (1954). Growth stages in cereals: Illustration of the Feekes Scale. Plant Pathology, 3, 128–129.

Lobell, D.B., Ortiz-Monasterio, J.I., Asner, G.P., Naylor, R.L., & Falcon, W.P. (2005). Combining field surveys, remote sensing, and regression trees to understand yield variations in an irrigated wheat landscape. Agronomy Journal, 97, 241–249.

Lopez-Bellido, R.J., & Lopez-Bellido, L. (2001). Efficiency of nitrogen in wheat under Mediterranean conditions: Effect of tillage, crop rotation and N fertilization. Field Crops Research, 71, 31–46.

Lopez-Bellido, R.J., Shepherd, C.E., & Barraclough, P.B. (2004). Predicting post-anthesis N requirements of bread wheat with a Minolta SPAD Meter. European Journal of Agronomy, 20, 313–320.

Mamo, M., Malzer, G.L., Mulla, D.J., Huggins, D.R., & Strock, J. (2003). Spatial and temporal variation in economically optimum nitrogen rate for corn. Agronomy Journal, 95, 958–964.

Moen, T.N., Kaiser, H.M., & Riha, S.J. (1994). Regional yield estimation using a crop simulation model: Concepts, methods and validation. Agricultural Systems, 46, 79–92.

Raun, W.R., & Johnson, G.V. (1999). Improving nitrogen use efficiency for cereal production. Agronomy Journal, 91, 357–363.

Raun, W.R., Solie, J.B., Johnson, G.V., Stone, M.L., Mullen, R.W., Freeman, K.W., et al. (2002). Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application. Agronomy Journal, 94, 815–820.

Raun, W.R., Solie, J.B., Stone, M.L., Martin, K.L., Freeman, K.W., Mullen, R.W., et al. (2005a). Optical sensor-based algorithm for crop nitrogen fertilization. Communications in Soil Science and Plant Analysis, 36, 2759–2781.

Raun, W.R., Solie, J.B., Stone, M.L., Zavodny, D.L., Martin, K.L., & Freeman, K.W. (2005b). Automated calibration stamp technology for improved in-season nitrogen fertilization. Agronomy Journal, 97, 338–342.

Raun, W.R., Solie, J.B., Taylor, R.K., Arnall, D.B., Mack, C.J., & Edmonds, D.E. (2008). Ramp calibration strip technology for determining midseason nitrogen rates in corn and wheat. Agronomy Journal, 100, 1088–1093.

Scharf, P.C., Kitchen, N.R., Sudduth, K.A., Davis, J.G., Hubbard, V.C., & Lory, J.A. (2005). Field-scale variability in optimal nitrogen fertilizer rate for corn. Agronomy Journal, 97, 452–461.

Solie, J.B., Raun, W.R., & Stone, M.L. (1999). Submeter spatial variability of selected soil and Bermuda grass production variables. Soil Science Society of America Journal, 63, 1724–1733.

Stenberg, B., Jonsson, A., & Borjesson, T. (2005). Use of near infrared reflectance spectroscopy to predict nitrogen uptake by winter wheat within fields with high variability in organic matter. Plant and Soil, 269, 251–258.

Tembo, G., Brorsen, B.W., Epplin, F.M., & Tostao, E. (2008). Crop input response functions with stochastic plateaus. American Journal of Agricultural Economics, 90, 424–437.

Washmon, C.N., Solie, J.B., Raun, W.R., & Itenfisu, D.D. (2002). Within field variability in wheat grain yields over nine years in Oklahoma. Journal of Plant Nutrition, 25, 2655–2662.