Modeling Plant Insect Interaction and Biological Control of Insect Pest

Abstract

To preserve the quality and abundance of food, feed, and fibre provided by growers newlinearound the world, plant diseases must be managed. Plant diseases can be avoided, reduced, newlineor controlled using a variety of strategies. Growers usually depend significantly newlineon chemical pesticides and fertilisers in addition to sound agricultural and horticulture newlinemethods. Over the past hundred years, crop yield and quality have significantly newlineimproved in large part due to such agricultural inputs. However, by certain pesticide newlineenemies and the environmental damage brought on by improper and excessive use of newlinepesticides have significantly altered people s views on the use of pesticides in agriculture. newlineWe must generate enough food to feed the expanding global population. Food newlinemade from plants is a significant option that benefits both the environment and human newlinehealth. Plant diseases or viruses reduce crop yield, which costs the agricultural industry. newlineThese diseases might obstruct how host plants and their herbivorous visitors interact. newlineAdditionally, it may have an indirect impact on how herbivores and their predator interact. newlineTo reduce losses and increase food production, it is essential to know how plants newlinebehave when insects and predators are present. Nowadays, the use of chemical pesticides newlineis subject to strict controls, and political pressure is growing for the removal of the newlinemost dangerous chemicals from the market. Additionally, because of the potential scale newlineat which such treatments would be required, the spread of plant diseases in natural environments newlinemay make it impossible to successfully apply chemicals. As a result, several newlineresearchers in pest management have concentrated their efforts on generating synthetic newlinechemical-free alternatives to control pests and diseases. These possibilities are known newlineas biological controls. Mathematical modelling is very useful in understanding the impact newlineof different key parameters which can lead to better crop production. Present study newlineis focusing on study of plant-insect interaction and biologica