Stochastic modeling of economic injury levels with respect to yearly trends in price commodity.
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.
Laboratory of Applied Zoology and Parasitilogy, Department of Crop Production (Field Crops and Ecology,Horticulture and Viticulture, and Plant Protection), Faculty of Agriculture, Forestry and Natural Environment,Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
Petros
P
Damos
D000818:Animals; D003132:Commerce / Q000191:economics*; D005506:Food Contamination; D005638:Fruit / Q000469:parasitology; D007300:Insect Control / Q000191:economics*; D007313:Insecta; D015233:Models, Statistical; D013269:Stochastic Processes; D013997:Time Factors
AR model; crop quality assurance; integrated pest management; plant protection