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Probabilistic model for determining possible yield level

  • Modeling
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Russian Agricultural Sciences Aims and scope

Abstract

On the basis of the methodology for stochastic modeling and long-term statistical data about spring wheat productivity obtained in comparative precision farming tests on the bioground of the Agrophysical RI, an approach to establishing the law of distribution of the actual possible yield of the farm crop in particular soil climatic conditions is considered. The knowledge of this law will make it possible to objectively determine the potential yield level on a given field and develop, on reasonable grounds, the respective individual technology with regard to yield value.

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Authors and Affiliations

  1. Agrophysical Research Institute, St. Petersburg, 195220, Russia

    V. P. Yakushev, V. M. Bure, V. V. Yakushev & A. V. Bure

Authors
  1. V. P. Yakushev
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  2. V. M. Bure
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  3. V. V. Yakushev
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  4. A. V. Bure
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Corresponding author

Correspondence to V. V. Yakushev.

Additional information

Original Russian Text © V.P. Yakushev, V.M. Bure, V.V. Yakushev, A.V. Bure, 2014, published in Doklady Rossiiskoi Akademii Sel’skokhozyaistvennykh Nauk, 2014, No. 6, pp. 59–62.

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Yakushev, V.P., Bure, V.M., Yakushev, V.V. et al. Probabilistic model for determining possible yield level. Russ. Agricult. Sci. 41, 71–74 (2015). https://doi.org/10.3103/S1068367415010231

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  • DOI: https://doi.org/10.3103/S1068367415010231

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