Open Access
Database of biological indicators of control of legume agrocenoses productivity
Author(s) -
С.В. Дидович
Publication year - 2021
Publication title -
tavričeskij vestnik agrarnoj nauki
Language(s) - English
Resource type - Journals
ISSN - 2542-0720
DOI - 10.33952/2542-0720-2021-1-25-85-97
Subject(s) - visual basic for applications , computer science , microsoft excel , database , productivity , software , visual basic , agricultural engineering , engineering , operating system , economics , macroeconomics
Experimental data gained through research requires systematization and interpretation of the effectiveness of applicable objects, methods and agricultural technologies. This data is of scientific and practical value for proper decision-making in agricultural practice. The purpose of the research is twofold: 1) to develop a structured database based on the results of long-term field experiments using various plant-microbial symbioses in legumes agrocenoses under soil and climatic conditions of the Crimea; 2) to generalize information to search for the possibility of biological control of plant productivity. The database has the minimum software requirements: Microsoft Office suite for Microsoft Windows operating systems (XP or higher OS) and software package for statistical analysis Statistica_10. Data collection, sorting and systematization, as well as matrix writing was carried out in Microsoft Excel; database structure development and design – using Microsoft Visual Basic for Application (VBA); data analysis and processing, as well as agrocenosis productivity modelling, were carried out with the help of Statistica (StatSoft) version 10. The database size is 8 MB. It has three structured VBA blocks: 1) biological activity of the soil, 2) physiological and biochemical status, productivity of plants and 3) matrices of indicators of biological activity of the soil and plant biology. Information on the structural and functional organization of the soil microbiocenosis, enzymatic activity and soil respiration, symbiotic efficiency, intensity and direction of microbiological and biochemical processes in the rhizosphere of legumes, as well as their physiological status, productivity and seed quality included sequentially. The Database is implemented on 23 electronic sheets in Microsoft Excel, integrates and interacts with the Statistica_10. The Database allows searching for interactive links in the system “microorganisms–plants–soil”, modelling the productivity of agrocenoses, identifying plant-microbial systems with the active interface when using polyfunctional microbial preparations in the technology of growing legumes under soil and climatic conditions of the Crimea. With the help of the database, we found that the use of polyfunctional microbial preparations causes different potential in the system “microorganisms–plants–soil”. Bacterization of plants with microbial preparations has 1.8 times factorial effect more on the physiology and productivity of legumes (76 %) compared to a factorial effect on the biological activity of the soil in the agrocenosis (42 %). The potential of the interaction of the cyanorhizobial consortium with legumes was revealed. It had a minimal total factor difference (29 %) between the physiological and biochemical state, productivity of legumes and indicators of biological activity of soil compared to ‘Rhizobofit’ (36 %), ‘Rhizobofit’, ‘Phosphoenterin’, ‘Biopolycid’ (33 %), ‘Rhizobofit’ and arbuscular mycorrhizal fungi (39 %).