Application of the Chow method for evaluation of morphometric parameters of the sunflower root system

Abstract

When growing sunflower, great importance is provided to the issue of accumulation and preservation of moisture in deep soil horizons, which in turn affects the productivity of crops. In arid regions, providing plants with moisture is of particular importance. The technologies of conservation agriculture in relation to sunflower cultivation allow varying the depth of autumn tillage from 17 to 33 cm, which, in combination with the metered use of mineral fertilizers and considering the difference in moisture consumption for the growing season from a meter layer of soil, provide an increase in yield compared to the traditional main autumn tillage. Moreover, the ratio of income from the sale of sunflower seeds grown in an arid steppe to production costs depends on the combination of the depth of strip processing and the dose of fertilization. Wherein, in the main zones of commercial sunflower production, high yield increases are provided by the application of nitrogen-phosphorus fertilizers, which contribute to the intensive formation of underground vegetative organs, which has unlimited growth in length and positive geotropism. The article presents the results of the application of multivariate regression analysis to study the morphobiological features of formation of the root system of sunflower grown using Strip-Till technology on the experimental field of the Povolzhye Educational and Scientific Production Association of the Saratov State Agrarian University named after N.I. Vavilov. The results of the morphometric assessment indicate a better development of the root system of plants in the treated strips compared to traditional types of basic tillage. To determine the limits of applicability of the piecewise linear regression model and develop practical recommendations for implementation of resource-saving potential of the Strip-Till technology in the dry steppe zone of the South-East of Russia used a reliable and sensitive criterion based on the method of J. Chow.