scholarly journals Controlling Pest by Integrated Pest Management: A Dynamical Approach

Author(s):  
Vandana Kumari ◽  
Sudipa Chauhan ◽  
Joydip Dhar

Integrated Pest Management technique is used to formulate a mathematical model by using biological and chemical control impulsively. The uniform boundedness and the existence of pest extinction and nontrivial equilibrium points is discussed. Further, local stability of pest extinction equilibrium point is studied and it has been derived that if T≤T_max, the pest extinction equilibrium point is locally stable and for T>T_max, the system is permanent. It has also been obtained that how delay helps in eradicating pest population more quickly. Finally, analytic results have been validated numerically.

2017 ◽  
Vol 16 (1) ◽  
pp. 25
Author(s):  
Mahardika Puspitasari ◽  
Purnama Hidayat ◽  
Pudjianto . ◽  
Marwoto . ◽  
Bambang Tri Rahardjo

Effect of pest management systems to the insect pests population on Anjasmoro and Wilis soybean varieties. The integrated pest management (IPM) is a pest control approach which is based on ecological and economic considerations. The objective of this research was to study the effect of different pest management systems on the insect pest population using two soybean varieties, Anjasmoro and Wilis.The experiments were done in a randomized complete block design, repeated twice. The pest management systems under the different plots were integrated pest management, non-chemical control, chemical control, and the control (which received neither chemicals nor IPM). Observations were made on the pest population and the intensity of the damage caused by primary soybean pests. The primary pests observed were Ophiomya phaseoli, Aphis gossypii, Lamprosema indicata, Spodoptera litura, Bemisia tabaci, Riptortus linearis and Etiella zinckenella. Integrated pest management significantly affect the population of whitefly on Anjasmoro variety but not on Wilis variety. The populations of bean fly, aphid, leaf roller, armyworm, stink bug and pod borer were not affected by pest management system. The lower yield of Anjasmoro variety was attributed to the attack by a viral infection whose disease incidence reached 80% on the plots without a pest management system. IPM management system was more efficient than chemical management system.


Insects ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 74
Author(s):  
Xiao-wei Li ◽  
Xin-xin Lu ◽  
Zhi-jun Zhang ◽  
Jun Huang ◽  
Jin-ming Zhang ◽  
...  

Intercropping of aromatic plants provides an environmentally benign route to reducing pest damage in agroecosystems. However, the effect of intercropping on natural enemies, another element which may be vital to the success of an integrated pest management approach, varies in different intercropping systems. Rosemary, Rosmarinus officinalis L. (Lamiaceae), has been reported to be repellent to many insect species. In this study, the impact of sweet pepper/rosemary intercropping on pest population suppression was evaluated under greenhouse conditions and the effect of rosemary intercropping on natural enemy population dynamics was investigated. The results showed that intercropping rosemary with sweet pepper significantly reduced the population densities of three major pest species on sweet pepper, Frankliniella intonsa, Myzus persicae, and Bemisia tabaci, but did not affect the population densities of their natural enemies, the predatory bug, Orius sauteri, or parasitoid, Encarsia formosa. Significant pest population suppression with no adverse effect on released natural enemy populations in the sweet pepper/rosemary intercropping system suggests this could be an approach for integrated pest management of greenhouse-cultivated sweet pepper. Our results highlight the potential of the integration of alternative pest control strategies to optimize sustainable pest control.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Lazarus Kalvein Beay ◽  
Maryone Saija

We proposed and analyzed a stage-structure Rosenzweig-MacArthur model incorporating a prey refuge.  It is assumed that the prey is a stage-structure population consisting of two compartments known as immature prey and mature prey. The model incorporates the functional response Holling type-II. In this work, we investigate all the biologically feasible equilibrium points, and it is shown that the system has three equilibrium points. Sufficient conditions for the local stability of the non-negative equilibrium point of the model are also derived. All points are conditionally locally asymptotically stable. By constructing Jacobian matrix and determined eigenvalues, we analyzed the local stability of the trivial equilibrium and non-predator equilibrium points. Specifically for coexistence equilibrium point, Routh-Hurwitz criterion used to analyze local stability. In addtion, we investigated the effect of immature prey refuge. Our mathematical analysis exhibits that immature prey refuge have played a crucial role in the behavioral system. When the effect of immature prey refuge (constant m) increases, it is can stabilize non-predator equilibrium point, where all the species can not exists together. And conversely, if contant m decreases, it is can stabilize coexistence equilibrium point then all the species can exists together. The work is completed with a numerical simulation to confirmed analitical results


2019 ◽  
Vol 10 (4) ◽  
pp. 355-376
Author(s):  
Shashi Kant

AbstractIn this paper, we investigate the deterministic and stochastic prey-predator system with refuge. The basic local stability results for the deterministic model have been performed. It is found that all the equilibrium points except the positive coexisting equilibrium point of the deterministic model are independent of the prey refuge. The trivial equilibrium point, predator free equilibrium point and prey free equilibrium point are always unstable (saddle point). The existence and local stability of the coexisting equilibrium point is related to the prey refuge. The permanence and extinction conditions of the proposed biological model have been studied rigourously. It is observed that the stochastic effect may be seen in the form of decaying of the species. The numerical simulations for different values of the refuge values have also been included for understanding the behavior of the model graphically.


Author(s):  
Patricia J. Vittum

This chapter examines the principles of integrated pest management (IPM). IPM often is defined as a program that, in the context of the environment and the population dynamics of pests, uses many different techniques and strategies in as compatible a manner as possible to maintain pest population levels below those causing economic injury. The concept of IPM was initially developed in traditional agriculture, where the success of a crop was measured in economic yield (quantity and quality of produce). The key to such agricultural IPM programs has always been establishing consistent and reliable “economic thresholds” — pest populations at which the cost of expected crop damage exceeds the cost of implementing control. In turf, the expected economic benefit from reducing a pest population usually is much more difficult to measure than in agriculture. It is difficult, if not impossible, to determine the economic value of suppressing pest insects. As a result, “economic thresholds” in turf IPM usually are more accurately described as “tolerance levels,” or “action thresholds.” In a turf IPM program, the turf manager must determine what pest populations can be tolerated without incurring unacceptable damage. The basic components of an IPM approach include assessing a site, monitoring and predicting pest activity, setting thresholds, managing turf stress, identifying and optimizing management options, and evaluating the results.


2008 ◽  
Author(s):  
Paul Horne ◽  
Jessica Page

Integrated Pest Management for Crops and Pastures describes in straightforward language what is required for farmers to successfully implement Integrated Pest Management (IPM) in cropping and grazing operations. It explains the differences between conventional pesticide-based controls and IPM, and demonstrates the advantages of IPM. Effective control of pests depends on a number of approaches, not just chemical or genetic engineering. The opening chapters cover the different approaches to pest management, and the importance of identification and monitoring of pests and beneficials. Most farmers and advisors can identify major pests but would struggle to recognise a range of beneficial species. Without this information it is impossible to make appropriate decisions on which control methods to use, especially where pests are resistant to insecticides. The book goes on to deal with the control methods: biological, cultural and chemical. The biological control agents discussed include both native and introduced species that attack pests. Cultural changes that have led to an increase in the incidence or severity of pest attack are also examined. The chapter on chemical control describes the different ways chemicals can affect beneficial species, also detailing acute, sub-lethal and transient toxicities of pesticides, drawing on examples from horticulture where necessary. Finally, the authors bring all the components of integrated pest management together and show farmers how to put their IPM plan into action.


2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Isa Abdullahi Baba ◽  
Bashir Abdullahi Baba ◽  
Parvaneh Esmaili

In this paper, we developed a model that suggests the use of robots in identifying COVID-19-positive patients and which studied the effectiveness of the government policy of prohibiting migration of individuals into their countries especially from those countries that were known to have COVID-19 epidemic. Two compartmental models consisting of two equations each were constructed. The models studied the use of robots for the identification of COVID-19-positive patients. The effect of migration ban strategy was also studied. Four biologically meaningful equilibrium points were found. Their local stability analysis was also carried out. Numerical simulations were carried out, and the most effective strategy to curtail the spread of the disease was shown.


Author(s):  
A. A. Motaphale ◽  
B. B. Bhosle

The investigation was carried out during kharif 2010-2011 and 2011-2012 in order to know the effect of different IPM module on insect pests of soybean. Significantly lower population of (2.54 larvae/ mrl) H.armigera, per cent pod damage (4.23%) by H.armigera were observed in MAU module. The minimum larval population of semilooper (3.62 larvae/mrl), S.litura (2.64 larvae/mrl) and per cent leaflet damage (6.71%) due to leaf miner, the minimum per cent defoliation (10.49%) due to defoliators were observed in chemical control followed by MAU module.


2010 ◽  
Vol 47 (4) ◽  
pp. 543-552 ◽  
Author(s):  
Jérémy Bouyer ◽  
Momar Talla Seck ◽  
Baba Sall ◽  
Elhadji Youssou Ndiaye ◽  
Laure Guerrini ◽  
...  

Abstract The riverine tsetse species Glossina palpalis gambiensis Vanderplank 1949 (Diptera: Glossinidae) inhabits riparian forests along river systems in West Africa. The government of Senegal has embarked on a project to eliminate this tsetse species, and African animal trypanosomoses, from the Niayes area using an area-wide integrated pest management approach. A stratified entomological sampling strategy was therefore developed using spatial analytical tools and mathematical modeling. A preliminary phytosociological census identified eight types of suitable habitat, which could be discriminated from LandSat 7 ETM + satellite images and denominated wet areas. At the end of March 2009, 683 unbaited Vavoua traps had been deployed, and the observed infested area in the Niayes was 525 km2. In the remaining area, a mathematical model was used to assess the risk that flies were present despite a sequence of zero catches. The analysis showed that this risk was above 0.05 in 19% of this area that will be considered as infested during the control operations. The remote sensing analysis that identified the wet areas allowed a restriction of the area to be surveyed to 4% of the total surface area (7,150 km2), whereas the mathematical model provided an efficient method to improve the accuracy and the robustness of the sampling protocol. The final size of the control area will be decided based on the entomological collection data. This entomological sampling procedure might be used for other vector or pest control scenarios.


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