Economic Loss due to Ganoderma Disease in Oil Palm

Authors: K. Assis, K. P. Chong, A. S. Idris, C. M. Ho

Abstract:

Oil palm or Elaeis guineensis is considered as the golden crop in Malaysia. But oil palm industry in this country is now facing with the most devastating disease called as Ganoderma Basal Stem Rot disease. The objective of this paper is to analyze the economic loss due to this disease. There were three commercial oil palm sites selected for collecting the required data for economic analysis. Yield parameter used to measure the loss was the total weight of fresh fruit bunch in six months. The predictors include disease severity, change in disease severity, number of infected neighbor palms, age of palm, planting generation, topography, and first order interaction variables. The estimation model of yield loss was identified by using backward elimination based regression method. Diagnostic checking was conducted on the residual of the best yield loss model. The value of mean absolute percentage error (MAPE) was used to measure the forecast performance of the model. The best yield loss model was then used to estimate the economic loss by using the current monthly price of fresh fruit bunch at mill gate.

Keywords: Ganoderma, oil palm, regression model, yield loss, economic loss.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1111999

References:

D. Ariffin, A. S. Idris, and G. Singh, “Status of Ganoderma in oil palm,” in Ganoderma diseases of perennial crops, J. Flood, P. D. Bridge, and M. Holderness, Eds. United Kingdom: Cabi Publishing, 2000.
[2] R. Hushiarian, N. A. Yusof, and S. W. Dutse, “Detection and control of Ganoderma boninense: strategies and perspectives,” Springerplus, vol. 2, p. 555, 2013.
[3] A. Roslan and A. S. Idris, “Economic Impact of Ganoderma Incidence on Malaysian Oil Palm Plantation – A Case Study in Johor,” Oil Palm Ind. Econ. J., vol. 12, no. 1, pp. 24–30, 2012.
[4] G. F. Chung, “Management of Ganoderma Diseases in Oil Palm Plantations,” Plant., vol. 87, no. 1022, pp. 325–339, 2011.
[5] K. H. Lim, S. S. Lim, P. Faizal, and R. Suharto, Eds., RSPO Manual on Best Management Practices (BMPs) for Existing Oil Palm Cultivation on Peat. Kuala Lumpur: Roundtable on Sustainable Palm Oil (RSPO), 2012.
[6] J. C. Zadoks, “On the Conceptual Basis of Crop Loss Assessment: The Threshold Theory,” Annu. Rev. Phytopathol., vol. 23, pp. 455–473, 1985.
[7] S. Savary, P. S. Teng, L. Willocquet, and F. W. Nutter, “Quantification and modeling of crop losses: a review of purposes.,” Annu. Rev. Phytopathol., vol. 44, pp. 89–112, 2006.
[8] J.-B. T. Noubissié, H. T. Yadji, and I. Baldena, “Screening Sorghum Populations for Resistance to Striga hermonthica (Del.) Benth in Northern Cameroon Scholars Research Library,” Ann. Biol. Res., vol. 3, no. 5, pp. 2357–2364, 2012.
[9] D. N. Gujarati, Basic Econometrics. Singapore: McGraw-Hill, 2003.
[10] C. D. Lewis, Industrial and Business Forecasting Methods: A Practical Guide to Exponential Smoothing and Curve Fitting. London: Butterworth Scientific, 1982.
[11] D. Mohd Tayeb, Technologies for Planting Oil Palm On Peat. Kuala Lumpur: Malaysian Palm Oil Board (MPOB), 2005.
[12] A. Field, Discovering statistics using SPSS. London: Sage Publication Inc., 2009.
[13] Anonymous, “Monthly price of FFB,” Malaysian Palm Oil Board (MPOB), 2015. (Online). Available: www.mpob.gov.my.