The study of the dependence of spring crops yield on the abiotic environmental factors using nonlinear interpolation

Abstract

The article discusses the effect of abiotic environmental factors on crop yields. Abiotic factors cannot be changed by human activity; therefore, considering their impact on yield is very important for predicting crop yields. The article analyzes the dependence of spring wheat yield on such abiotic environmental factors as average ten-day air temperatures during the growing season, ten-day amounts of precipitation during the growing season and the Selyaninov hydrothermal coefficient during the growing season. To identify dependencies, the authors applied a non-linear approximation method using a third-degree polynomial dependence with one variable. The study was conducted during the most important growing season of spring wheat, in May and June. The authors show the equations of the third-degree polynomial dependences and graphs, as well as their graphic interpretation. Based on the obtained graphs, the authors have analyzed favorable intervals of abiotic factors for the formation of high yields of spring wheat. The authors indicate the most optimal temperature and humidity conditions for each ten days of May and June. These dependences are suitable not only for spring wheat but also for other spring grain crops, such as oats and barley.