Аграрная наука Евро-Северо-Востока (Dec 2022)

Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals

  • D. S. Fomin,
  • N. N. Yarkova,
  • S. S. Polyakova

DOI
https://doi.org/10.30766/2072-9081.2022.23.6.852-859
Journal volume & issue
Vol. 23, no. 6
pp. 852 – 859

Abstract

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The purpose of the research is to study the influence of hydrothermal conditions of vegetation of 2011-2022 on the yield of spring barley of the Rodnik Prikamya variety in the conditions of the Middle Trans-Urals. Barley was cultivated in a traditional field grain-grassfallow seven-field crop rotation against two backgrounds of mineral nutrition (without fertilizers, N60P30K60). In the conditions of a long stationary experiment, the influence of indicators of moisture and heat supply of vegetation periods (air temperature, precipitation amount, G. T. Selyaninov hydrothermal coefficient) and mineral fertilizers on barley yield was analyzed. The analysis proves the reliability of the relationship, and the regression equations for the curvilinear dependence make it possible to predict the yield of spring barley for both backgrounds of mineral nutrition in typical soil and climatic conditions for the Middle Trans-Urals. For the variant with the introduction of mineral nutrition, with a prediction accuracy of 84.56 %: Y = -1.22163X2 + 0.69X + 4.01388626, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of May. For the variant without mineral fertilizers: Y = -0.080X2 + 0.5844X + 2.5506, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of June. The accuracy of forecasting the yield of spring barley by the hydrothermal coefficient of June is 77.89 %.

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