Abstract
Today, rice blast remains the most dangerous disease, therefore, along with breeding developments, it is necessary to study the dependence of the pathogen’s behavior on agroclimatic conditions. In addition, an understanding of the dynamics of blast development in the non-growing season is necessary. The studies conducted are aimed at establishing agroclimatic patterns that contribute to the development of the disease in the pre-growing and growing periods by analyzing the results of the implementation of the mathematical model. As a result of research, the dependence of the intensity of damage to rice crops on the intensity of environmental influences in the pre-growing season was established, which suggests that it is necessary to apply agrotechnological measures before sowing to reduce the phytosanitary load on plants and the environment.
Highlights
Blast development during the growing season of rice plants remains one of the most dangerous phenomena manifested during the cultivation of crops [1]
Pyricularia oryzae Cav. [2 - 4] is played by agroclimatic conditions and agrotechnological measures [5, 6]
As a result of retrospective studies, the nature of the influence of agroclimatic conditions on the dynamics of the distribution and development of Pyricularia orizae Cav. pathogen was revealed on the territory of Krasnodar region during the pre-growing and growing periods
Summary
Blast development during the growing season of rice plants remains one of the most dangerous phenomena manifested during the cultivation of crops [1]. [2 - 4] is played by agroclimatic conditions and agrotechnological measures [5, 6]. Today, to prevent and combat blast, it is necessary to monitor agroclimatic conditions and develop approaches and methods to combat the pathogen based on meteorological data processing. Based on the results of the studies, a model was developed [7], which allows one to assess the dynamics of the development of the pathogen during the growing season of rice plants. Based on agroclimatic data obtained under homogeneous conditions (geographical localization, agrotechnical measures), the model allows one to obtain an assessment of the dynamics of blast development during any period. The use of this model allows a retrospective study of a ten-year cycle of agricultural production in the Krasnodar region
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
