On determination of ETL – a distributional approach

Satyabrata Pal; Arunava Ghosh; Tapamay Dhar

Biometrical Letters (2013)

  • Volume: 50, Issue: 2, page 107-116
  • ISSN: 1896-3811

Abstract

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Economic threshold level (ETL) is an important component in pest management and control. Usually, it is determined by the grower/technologist utilizing his experience on a crop; however, for cereals the values of these indices are available. Knowledge of ETL helps reduce crop loss (and ensure less pesticide application), and as a consequence, profit is increased. Also substantial knowledge is required on the dynamics of the pest population, in order to determine the density at which the economic injury level (EIL) may be prevented (Weersink et al. 1991). This paper is devoted to the development of an analytical method (probabilistic) for determination of ETL, which is defined as the density at which control measures should be determined to prevent an increasing pest population from reaching the economic injury level. A method to model the dynamics of the pest population is also proposed. The above method is demonstrated on a real life data set on pest (whitefly) incidence on betelvine, obtained from an experiment designed for that purpose.

How to cite

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Satyabrata Pal, Arunava Ghosh, and Tapamay Dhar. "On determination of ETL – a distributional approach." Biometrical Letters 50.2 (2013): 107-116. <http://eudml.org/doc/268817>.

@article{SatyabrataPal2013,
abstract = {Economic threshold level (ETL) is an important component in pest management and control. Usually, it is determined by the grower/technologist utilizing his experience on a crop; however, for cereals the values of these indices are available. Knowledge of ETL helps reduce crop loss (and ensure less pesticide application), and as a consequence, profit is increased. Also substantial knowledge is required on the dynamics of the pest population, in order to determine the density at which the economic injury level (EIL) may be prevented (Weersink et al. 1991). This paper is devoted to the development of an analytical method (probabilistic) for determination of ETL, which is defined as the density at which control measures should be determined to prevent an increasing pest population from reaching the economic injury level. A method to model the dynamics of the pest population is also proposed. The above method is demonstrated on a real life data set on pest (whitefly) incidence on betelvine, obtained from an experiment designed for that purpose.},
author = {Satyabrata Pal, Arunava Ghosh, Tapamay Dhar},
journal = {Biometrical Letters},
keywords = {Economic Threshold Level (ETL); Nonparametric and semi-parametric models; Occurrence Probability; Kolmogorov-Smirnov (K-S) Test},
language = {eng},
number = {2},
pages = {107-116},
title = {On determination of ETL – a distributional approach},
url = {http://eudml.org/doc/268817},
volume = {50},
year = {2013},
}

TY - JOUR
AU - Satyabrata Pal
AU - Arunava Ghosh
AU - Tapamay Dhar
TI - On determination of ETL – a distributional approach
JO - Biometrical Letters
PY - 2013
VL - 50
IS - 2
SP - 107
EP - 116
AB - Economic threshold level (ETL) is an important component in pest management and control. Usually, it is determined by the grower/technologist utilizing his experience on a crop; however, for cereals the values of these indices are available. Knowledge of ETL helps reduce crop loss (and ensure less pesticide application), and as a consequence, profit is increased. Also substantial knowledge is required on the dynamics of the pest population, in order to determine the density at which the economic injury level (EIL) may be prevented (Weersink et al. 1991). This paper is devoted to the development of an analytical method (probabilistic) for determination of ETL, which is defined as the density at which control measures should be determined to prevent an increasing pest population from reaching the economic injury level. A method to model the dynamics of the pest population is also proposed. The above method is demonstrated on a real life data set on pest (whitefly) incidence on betelvine, obtained from an experiment designed for that purpose.
LA - eng
KW - Economic Threshold Level (ETL); Nonparametric and semi-parametric models; Occurrence Probability; Kolmogorov-Smirnov (K-S) Test
UR - http://eudml.org/doc/268817
ER -

References

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  1. Eubank R. (1988): Spline Smoothing and Nonparametric Regression. Marcel Dekker, New York. Zbl0702.62036
  2. Afzal M., Yasin M., Sherawat S.M. (2002): Evaluation and Demonstration of Economic Threshold Level (ETL) for Chemical Control of Rice Stem Borers Scirpophagaincertulus Wlk. And S.innotata Wl. International Journal of Agriculture and Biology 3: 323-325. 
  3. Simonoff J. (1995): Smoothing Methods of Statistics. Springer. New York. Zbl0850.62332
  4. Thisted R.A. (1988): Elements of Statistical Computing. Chapman and Hall, New York. Zbl0663.62001
  5. Weersink A., Deen W., Weaver S. (1991): Defining and Measuring Economic Threshold Levels. Canadian Journal of Agricultural Economics 39(4): 619-625.[Crossref] 

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