Models of Winter Wheat Yield Based on Calcareous Chernozem Fertility Parameters

Olga A Biryukova,Anna M Medvedeva,Tatiana M Minkina,Dmitry V Bozhkov,Ivan I Elnikov

doi:10.3844/ajabssp.2015.186.196

Olga A Biryukova, Anna M Medvedeva + Show 3 more

Open Access

https://doi.org/10.3844/ajabssp.2015.186.196

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Abstract

The use of polyelement diagnostics and regression analysis for predicting the yield of winter wheat at different stages of vegetation is considered. It has been established that the prediction and integrated assessment of grain yield and quality should be performed with consideration for the balance of macro-and micronutrients in the grain and the aboveground biomass of plants. Possibility of predicting the contents of macro-and micronutrients in wheat grain from the chemical composition of plants at the shooting stage has been revealed. Scientifically based recommendations are presented for managing the grain yield and quality of winter wheat.

Highlights

The current development stage of monitoring systems is characterized by active integration and globalization processes
For the prediction of grain yield and quality of winter wheat grown on calcareous chernozem, the following models were obtained: Ut = –132.00 + 5.65N – 9.76Si +13.65P –12.60K +0.20Mn – 0.05Fe – 0.47Ni + 0.16Sr + 0.56Cu + 3.74Ps
Long-term studies showed that calcareous chernozem is characterized by the high variation of agrochemical parameters

Summary

Introduction

The current development stage of monitoring systems is characterized by active integration and globalization processes. The most known of these processes is the development of the Global Earth Observation System of Systems (GEOSS), which integrates data of remote sensing, in situ observations and models for the development of support systems for management decision making within the framework of food safety (Bereza et al, 2015; Kogan et al, 2013). The concept of agro monitoring includes two main components: the estimation of crop areas and the prediction of crop yield (Kolotii, 2012). The use of models allows agronomists and farmers to develop sustainable agricultural systems, which are adapted to the less favorable agro-ecological conditions (Spiertz, 2013). Increased agricultural sustainability is one of the main directions the economic efficiency of agricultural production and related industries improvement, which consists of increasing profits and profitability, efficiency of production and use of resources

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