Issues:
Sections:
Issue 96
GENERAL BIOLOGY
UDK: 631.45:633:11
FORECASTING THE YIELD OF WINTER WHEAT BASED ON THE AGROPHYSICAL AND AGROCHEMICAL PROPERTIES OF ORDINARY CHERNOZEM OF THE AZOV ZONE OF THE ROSTOV REGION
The research was conducted in a long-term field experiment in 2019-2022 on the erosion-prone slope of the southeastern exposure with a steepness of up to 3.5-4<sup>o</sup> of the Bolshoy Log gulch in the Aksai district of the Rostov region. A close positive correlation has been established between soil moisture (r = 0.76), nitrate (r = 0.86) and ammonium (r = 0.75) nitrogen, the amount of agronomically valuable aggregates (r = 0.47), mobile phosphorus (r = 0.44), exchangeable potassium (r = 0.47), runoff (r = -0.54) and flushing (r = -0.46), humus (r = 0.46) and grain yield of winter wheat. The maximum and minimum limits of fluctuations in the values, parameters of soil fertility and yield of winter wheat have been determined. Based on correlation and regression analysis, a multi-parametric model for predicting winter wheat yields based on the agrochemical and agrophysical properties of common chernozem has been compiled. The proposed equation has a high approximation reliability between the actual and theoretical yields of winter wheat (R<sup>2 </sup>= 0.98). The obtained model can be used to increase the efficiency of fertilizers, prevent degradation processes occurring on medium-eroded common chernozems, increase the profit of agricultural production and reduce the cost of restoring soil fertility.
Pages: 40 - 45
Date: 30.03.2025