Literature DB >> 25373206

Stochastic modeling of economic injury levels with respect to yearly trends in price commodity.

Petros Damos1.   

Abstract

The economic injury level (EIL) concept integrates economics and biology and uses chemical applications in crop protection only when economic loss by pests is anticipated. The EIL is defined by five primary variables: the cost of management tactic per production unit, the price of commodity, the injury units per pest, the damage per unit injury, and the proportionate reduction of injury averted by the application of a tactic. The above variables are related according to the formula EIL = C/VIDK. The observable dynamic alteration of the EIL due to its different parameters is a major characteristic of its concept. In this study, the yearly effect of the economic variables is assessed, and in particular the influence of the parameter commodity value on the shape of the EIL function. In addition, to predict the effects of the economic variables on the EIL level, yearly commodity values were incorporated in the EIL formula and the generated outcomes were further modelled with stochastic linear autoregressive models having different orders. According to the AR(1) model, forecasts for the five-year period of 2010-2015 ranged from 2.33 to 2.41 specimens per sampling unit. These values represent a threshold that is in reasonable limits to justify future control actions. Management actions as related to productivity and price commodity significantly affect costs of crop production and thus define the adoption of IPM and sustainable crop production systems at local and international levels. This is an open access paper. We use the Creative Commons Attribution 3.0 license that permits unrestricted use, provided that the paper is properly attributed.

Entities:  

Keywords:  AR model; crop quality assurance; integrated pest management; plant protection

Mesh:

Year:  2014        PMID: 25373206      PMCID: PMC4207529          DOI: 10.1093/jis/14.1.59

Source DB:  PubMed          Journal:  J Insect Sci        ISSN: 1536-2442            Impact factor:   1.857


  3 in total

1.  Integrated pest management (IPM): definition, historical development and implementation, and the other IPM.

Authors:  Lester E Ehler
Journal:  Pest Manag Sci       Date:  2006-09       Impact factor: 4.845

2.  Developing optimum sample size and multistage sampling plans for Lobesia botrana (Lepidoptera: Tortricidae) larval infestation and injury in northern Greece.

Authors:  A A Ifoulis; M Savopoulou-Soultani
Journal:  J Econ Entomol       Date:  2006-10       Impact factor: 2.381

3.  The probabilistic economic injury level: incorporating uncertainty into pest management decision-making.

Authors:  Robert K D Peterson; Thomas E Hunt
Journal:  J Econ Entomol       Date:  2003-06       Impact factor: 2.381

  3 in total
  1 in total

1.  Do Insect Populations Die at Constant Rates as They Become Older? Contrasting Demographic Failure Kinetics with Respect to Temperature According to the Weibull Model.

Authors:  Petros Damos; Polyxeni Soulopoulou
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

  1 in total

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