A model for explaining variations in oil palm yield on field or estate basis

Chow C.S., . (1992) A model for explaining variations in oil palm yield on field or estate basis. [Proceedings Paper]

A model incorporating four factors viz. the trend season rainfall and cycle was proposed to explain the variations of palm oil production in Peninsular Malaysia CHOW 1987. For the purpose of establishing the trend an average yield profile relating oil palm yield to palm age for Peninsular Malaysia and East Malaysia by means of a mathematical function was used. The objective of this paper is to discuss a model for explaining yield variations in oil palm fields of estates by incorporating the yield profile equation referred to and variables of the other factors i.e. the season rainfall and cycle as considered for the Peninsular palm oil production model. The model may be used to predict the yield of an oil palm estate. While the model may be satisfactory for explaining variabilities of oil palm yield in the past it is less so for prediction. However on the basis of the present model with its four main factors modifications of the statistical techniques may eventually give improved results in prediction

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Abstract

A model incorporating four factors viz. the trend season rainfall and cycle was proposed to explain the variations of palm oil production in Peninsular Malaysia CHOW 1987. For the purpose of establishing the trend an average yield profile relating oil palm yield to palm age for Peninsular Malaysia and East Malaysia by means of a mathematical function was used. The objective of this paper is to discuss a model for explaining yield variations in oil palm fields of estates by incorporating the yield profile equation referred to and variables of the other factors i.e. the season rainfall and cycle as considered for the Peninsular palm oil production model. The model may be used to predict the yield of an oil palm estate. While the model may be satisfactory for explaining variabilities of oil palm yield in the past it is less so for prediction. However on the basis of the present model with its four main factors modifications of the statistical techniques may eventually give improved results in prediction

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Item Type:	Proceedings Paper
Additional Information:	7 tables 3 figs. 3 appendices 11 ref. Summary En
AGROVOC Term:	ELAEIS GUINEENSIS
AGROVOC Term:	RENDIMIENTO DE CULTIVOS
AGROVOC Term:	MALASIA PENINSULAR
Geographical Term:	MALAYSIA
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:26
URI:	http://webagris.upm.edu.my/id/eprint/14966

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