| Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 8 | |
| Section | Agricultural Innovation Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202343101005 | |
| Published online | 13 October 2023 | |
Assessing fertility complexity of Agro-gray soil on the East European Plain using correlation-regression analysis
1 Ryazan State Agrotechnological University named after P.A. Kostychev, 390044 Ryazan, Russia
2 Ryazan State University named after S.A. Yesenin, 390000 Ryazan, Russia
3 Academy of Law and Administration of the Federal Penitentiary Service of Russia, 390000 Ryazan, Russia
* Corresponding author: bashkireva32@gmail.com
According to classical concepts, soil fertility is an integrating indicator of soil properties. Correlation-regression analysis allows for the evaluation of the complexity of Agro-gray soil fertility in the East European Plain of Russia. The participation of all recorded soil properties and their equal contribution is the criteria for optimal assessment. The initial data array on soil properties divided into two clusters using the cluster analysis method. The absence of significant differences between clusters and some parameters in the model determined the need for correction. An acceptable level of fertility of Agro-gray soil established. The minimum requirements for the soil include 3.2% humus, 181 mg/kg of mobile phosphorus, and 144 mg/kg of exchangeable potassium pH and 1.5 mg-eq/100 g, respectively, the ratio of saturation of the soil with bases is not lower than 92%. With such a numerical combination of soil properties, the complexity of fertility ensured.
© The Authors, published by EDP Sciences, 2023
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