On determination of ETL – a distributional approach

• Autorzy: Satyabrata Pal , Arunava Ghosh , Tapamay Dhar
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Economic Threshold Level (ETL); Nonparametric and semi-parametric models; Occurrence Probability; Kolmogorov-Smirnov (K-S) Test

• Wydawca: De Gruyter Open
• Czasopismo: Biometrical Letters
• Rocznik: 2013
• Tom: 50
• Numer: 2
• Strony: 107-116

Daty

wydano

2013-12-01

online

2013-12-10

Twórcy

autor

Satyabrata Pal

• Former Dean, Post Graduate Studies and Professor of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya, Faculty of Agriculture, Mohanpur, Nadia, West Bengal, 741252, India

autor

Arunava Ghosh

• Uttar Banga Krishi Viswavidyalaya, Department of Agricultural Statistics, Pundibari, Coochbehar, West Bengal, 736165, India

autor

Tapamay Dhar

• Uttar Banga Krishi Viswavidyalaya, Regional Research Sub Station, Malda, West Bengal, 732203, India Uttar Banga Krishi Viswavidyalaya, Regional Research Sub Station, Malda, West Bengal, 732203, India

Bibliografia

• Eubank R. (1988): Spline Smoothing and Nonparametric Regression. Marcel Dekker, New York.
• 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.
• Simonoff J. (1995): Smoothing Methods of Statistics. Springer. New York.
• Thisted R.A. (1988): Elements of Statistical Computing. Chapman and Hall, New York.
• Weersink A., Deen W., Weaver S. (1991): Defining and Measuring Economic Threshold Levels. Canadian Journal of Agricultural Economics 39(4): 619-625.[Crossref]

Identyfikatory

DOI

10.2478/bile-2013-0021