Software for monitoring the production process of rice agrocenosis based on a database

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Abstract

Background. The results of the study of the production process of intensive and extensive rice varieties are summarized in a single database (DB) registered in Rospatent No. 202462462. It includes two main parts: descriptions of the object of study and tabular data having a structure and interrelations according to the logical scheme, which was created in the Microsoft Access program. The latter manages the database (DBMS) of biological features that form the rice yield. The database contains data for identifying the interaction of biological features of plants with their optical characteristics in the formation of the yield of rice agrophytocenoses and the introduction of scientifically sound methods for monitoring the physiological state of crops and forecasting the yield. In vegetation and microfield experiments, the patterns of growth and formation of productivity of different types of rice varieties are considered. Particular attention is paid to the characteristics of donor-acceptor relationships in plants and crops as the main stage of the production process, determining the economic productivity of genotypes.

Purpose. The aim of the research is to study the production process of intensive and extensive rice varieties.

Materials and methods. The research was carried out in two experiments: a vegetation-microfield experiment and a field experiment (2017-2024).

Results. The developed database contains a set of data reflecting information on the biological characteristics of plants that determine rice yield. Research on monitoring rice crops was conducted in the physiology laboratory of the Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”. The developed database is necessary to identify the interaction of biological characteristics of plants with their optical characteristics. In this version of the program, five basic forms are used to enter the initial data, with the help of which data is entered, edited and viewed: information on the yield and its structure (productivity); optical characteristics of the object (optical indicators); information on the research material (research material); information on climatic conditions (climatic data); Variety passport (characteristics of the variety under study).

Conclusion. The structure of the DB of morphophysiological features of rice plants is presented. Information support for monitoring rice agrophytocenoses is carried out based on the entered data on biological features that form rice yield. Specialists of rice-growing farms to monitor the state of rice crops, adjust nitrogen fertilization and forecast the yield use the presented DB.

About the authors

Sergey V. Garkusha

Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”

Author for correspondence.
Email: arri_kub@mail.ru

Doctor of Agricultural Sciences, Professor, Corresponding Member of the Russian Academy of Sciences, Director

 

Russian Federation, 3, Belozerny settlement, Krasnodar, 350921, Russian Federation

Mikhail A. Skazhennik

Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”

Email: sma_49@mail.ru

Doctor of Biological Sciences, Senior Researcher, Head of the Physiology Laboratory

 

Russian Federation, 3, Belozerny settlement, Krasnodar, 350921, Russian Federation

Victor S. Kovalev

Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”

Email: arri_kub@mail.ru

Doctor of Agricultural Sciences, Professor, Deputy Director

 

Russian Federation, 3, Belozerny settlement, Krasnodar, 350921, Russian Federation

Vitaly N. Chizhikov

Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”

Email: agrohim-vt@yandex.ru

Candidate of Agricultural Sciences, Head of the Laboratory of Agrochemistry and Soil Science

 

Russian Federation, 3, Belozerny settlement, Krasnodar, 350921, Russian Federation

Alexey F. Petrushin

Saint-Petersburg State University

Email: agrohim-vt@yandex.ru

Candidate of Technical Sciences, Lecturer of the Department of Programming Technologies

 

Russian Federation, 7-9, Universitetskaya Embankment, Saint-Petersburg, 199034, Russian Federation

Tatiana S. Pshenitsyna

Federal State Budgetary Scientific Institution “Federal Scientific Center of Rice”

Email: sma_49@mail.ru

Senior Researcher of the Physiology Laboratory

 

Russian Federation, 3, Belozerny settlement, Krasnodar, 350921, Russian Federation

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