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Evaluating optimal fertilizer rates using plant measurements

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  • T. Antoniadou
  • D. Wallach

Abstract

Correctly adjusting the amount of nitrogen fertilizer to crop needs is important for both economic and environmental reasons. A recent development in nitrogen fertilization is the use of plant measurements to indicate plant nitrogen status. We present a theoretical treatment of this practice. We assume that yield response to nitrogen dose can be described using a random parameter model. The lack of precise knowledge of the parameter values leads to calculated nitrogen doses that are not optimal. The plant measurement allows one to calculate a conditional distribution of the parameter values, which leads to improved calculated nitrogen doses. We apply the treatment to a data set for wheat in northern France. It is shown that the use of a plant measurement, compared with no measurement, has only a minor effect on net profit, but achieves this with less nitrogen and, in particular, reduces the probability of large excesses of nitrogen beyond crop needs.

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  • T. Antoniadou & D. Wallach, 2002. "Evaluating optimal fertilizer rates using plant measurements," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 1083-1099.
    • Handle: RePEc:taf:japsta:v:29:y:2002:i:7:p:1083-1099
    DOI: 10.1080/0266476022000006757
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    References listed on IDEAS

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    1. Joyotee Smith & Gloria Umali, 1985. "Production Risk and Optimal Fertilizer Rates: A Random Coefficient Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 654-659.
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