Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity

Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for pred...

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Main Author:	Salmiyati, Salmiyati
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QH Natural history
Online Access:	http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf
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id	my-utm-ep.79504
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spelling	my-utm-ep.795042018-10-31T12:42:01Z Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity 2017 Salmiyati, Salmiyati QH Natural history Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for prediction of FFB productivity. To identify the factors, data were collected from literature, survey, focus group discussion, and field observation of 200 blocks of oil palm plantation in an area of 2,300 hectares in the Riau province. Correlation among bioenvironmental factors and FFB productivity was statistically analysed using linear regression. From the findings, a model was developed based on multiple regression of the Cobb Douglas function. The new model was simulated using Dynamic System software (Stella 9.0.2) to define the relationship between factors and estimate the FFB productivity of oil palm until it reaches its productive age. Simulations were conducted and verified by comparing the results with previous related studies. Besides, results were also validated using a Chi Square test from field survey in oil palm plantations. The statistical results confirmed that FFB productivity was affected by ten groups of bioenvironmental factors. These factors that can increase FFB productivity by nearly 7.58% include good management of oil palm biophysics, bioagent, water conservation, soil conservation, fertilizer, topography, and climate. On the contrary, management of pest, diseases, and herbicide can decrease FFB productivity by nearly 0.31%. Furthermore, simulation results indicated that the optimum productive oil palm was 30 years old, and that there were no significant differences in the validation results between the field survey and simulation, showing that the model is sustainable. These results have shown that the model can be used as support for FFB productivity management based on bioenvironmental factors. 2017 Thesis http://eprints.utm.my/id/eprint/79504/ http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering Faculty of Biosciences and Medical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QH Natural history
spellingShingle	QH Natural history Salmiyati, Salmiyati Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
description	Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for prediction of FFB productivity. To identify the factors, data were collected from literature, survey, focus group discussion, and field observation of 200 blocks of oil palm plantation in an area of 2,300 hectares in the Riau province. Correlation among bioenvironmental factors and FFB productivity was statistically analysed using linear regression. From the findings, a model was developed based on multiple regression of the Cobb Douglas function. The new model was simulated using Dynamic System software (Stella 9.0.2) to define the relationship between factors and estimate the FFB productivity of oil palm until it reaches its productive age. Simulations were conducted and verified by comparing the results with previous related studies. Besides, results were also validated using a Chi Square test from field survey in oil palm plantations. The statistical results confirmed that FFB productivity was affected by ten groups of bioenvironmental factors. These factors that can increase FFB productivity by nearly 7.58% include good management of oil palm biophysics, bioagent, water conservation, soil conservation, fertilizer, topography, and climate. On the contrary, management of pest, diseases, and herbicide can decrease FFB productivity by nearly 0.31%. Furthermore, simulation results indicated that the optimum productive oil palm was 30 years old, and that there were no significant differences in the validation results between the field survey and simulation, showing that the model is sustainable. These results have shown that the model can be used as support for FFB productivity management based on bioenvironmental factors.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Salmiyati, Salmiyati
author_facet	Salmiyati, Salmiyati
author_sort	Salmiyati, Salmiyati
title	Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_short	Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_full	Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_fullStr	Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_full_unstemmed	Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_sort	modelling bioenvironmental factors for oil palm plantations in riau indonesia towards fresh fruit bunch productivity
granting_institution	Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering
granting_department	Faculty of Biosciences and Medical Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf
_version_	1747818242452226048

Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity

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