Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum

Peat is considered as a problem soil in tropical countries due to the very acidic nature, low bulk density, low bearing capacity, high loss of ignition and poor .structure. Comprehensive and sustainable peat management could increase productivity and economic return. Over the past 2-4 years, recent...

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Main Author:	Luhum, James Lopaz
Format:	Thesis
Language:	English
Published:	2004
Subjects:	Analytical chemistry
Online Access:	http://ir.uitm.edu.my/id/eprint/27606/ http://ir.uitm.edu.my/id/eprint/27606/1/TM_JAMES%20LOPAZ%20LUHUM%20AS%2004_5.pdf

id	uitm-27606
recordtype	eprints
spelling	uitm-276062020-02-05T04:38:14Z http://ir.uitm.edu.my/id/eprint/27606/ Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum Luhum, James Lopaz Analytical chemistry Peat is considered as a problem soil in tropical countries due to the very acidic nature, low bulk density, low bearing capacity, high loss of ignition and poor .structure. Comprehensive and sustainable peat management could increase productivity and economic return. Over the past 2-4 years, recent achievements by site-specific management approach significantly foster, spur and sustain price of commodity crops in global market. As a matter of fact, modem technology and good agronomic practices if worked in parallel, can benefit the agriculture industry. In line with current demand for food and environmental constraints, this is the right time to treat crops with precise nutrients and specific treatments. In this study, approximately 310 soil samples were taken at the depth of 0-15 em and 153 plant tissues were collected from the oil palm trees. A geostatistical sampling was conducted along the palms rows (within and in between the palm nucleus). Based on the data analysis, it showed that the coefficient of variations (CV's) for certain parameters indicated an extreme variability within the field i.e. exchangeable potassium, exchangeable magnesium and exchangeable calcium compared to other parameters. Positive correlation coefficients were obtained from the analysis particularly in total nitrogen with organic carbon content, phosphorus with exchangeable potassium, soil pH with exchangeable potassium, soil pH with exchangeable magnesium, soil pH with exchangeable calcium, exchangeable potassium with exchangeable magnesium, exchangeable potassium with exchangeable calcium and exchangeable magnesium with exchangeable calcium. Obviously, the spatial variability for each parameter under study was classified according to the nutrient level in soils and plant tissues. In addition, the best fit model was developed to predict the spatial variability of data. It is understood that, a high variability would result in a considerable amount of nutrients required for oil palm growth whereas low variability would results in lesser amount of nutrient available for the palms. In order to get a precise estimation on field management zone, the spatial maps were digitized from raster to vector image. At the end of the study, this intelligent system (GPS, GIS and Geostatistical) would help modern planters and oil palm growers to apply the input at right amount, time, place and way in the field. Hence, it could help to prevent input wastage particularly fertilizers and minimize the environmental risk. 2004 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/27606/1/TM_JAMES%20LOPAZ%20LUHUM%20AS%2004_5.pdf Luhum, James Lopaz (2004) Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Analytical chemistry
spellingShingle	Analytical chemistry Luhum, James Lopaz Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
description	Peat is considered as a problem soil in tropical countries due to the very acidic nature, low bulk density, low bearing capacity, high loss of ignition and poor .structure. Comprehensive and sustainable peat management could increase productivity and economic return. Over the past 2-4 years, recent achievements by site-specific management approach significantly foster, spur and sustain price of commodity crops in global market. As a matter of fact, modem technology and good agronomic practices if worked in parallel, can benefit the agriculture industry. In line with current demand for food and environmental constraints, this is the right time to treat crops with precise nutrients and specific treatments. In this study, approximately 310 soil samples were taken at the depth of 0-15 em and 153 plant tissues were collected from the oil palm trees. A geostatistical sampling was conducted along the palms rows (within and in between the palm nucleus). Based on the data analysis, it showed that the coefficient of variations (CV's) for certain parameters indicated an extreme variability within the field i.e. exchangeable potassium, exchangeable magnesium and exchangeable calcium compared to other parameters. Positive correlation coefficients were obtained from the analysis particularly in total nitrogen with organic carbon content, phosphorus with exchangeable potassium, soil pH with exchangeable potassium, soil pH with exchangeable magnesium, soil pH with exchangeable calcium, exchangeable potassium with exchangeable magnesium, exchangeable potassium with exchangeable calcium and exchangeable magnesium with exchangeable calcium. Obviously, the spatial variability for each parameter under study was classified according to the nutrient level in soils and plant tissues. In addition, the best fit model was developed to predict the spatial variability of data. It is understood that, a high variability would result in a considerable amount of nutrients required for oil palm growth whereas low variability would results in lesser amount of nutrient available for the palms. In order to get a precise estimation on field management zone, the spatial maps were digitized from raster to vector image. At the end of the study, this intelligent system (GPS, GIS and Geostatistical) would help modern planters and oil palm growers to apply the input at right amount, time, place and way in the field. Hence, it could help to prevent input wastage particularly fertilizers and minimize the environmental risk.
format	Thesis
author	Luhum, James Lopaz
author_facet	Luhum, James Lopaz
author_sort	Luhum, James Lopaz
title	Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
title_short	Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
title_full	Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
title_fullStr	Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
title_full_unstemmed	Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum
title_sort	site-specific management of immature oil palm on peat: gps, gis and geostatistical approach / james lopaz luhum
publishDate	2004
url	http://ir.uitm.edu.my/id/eprint/27606/ http://ir.uitm.edu.my/id/eprint/27606/1/TM_JAMES%20LOPAZ%20LUHUM%20AS%2004_5.pdf
first_indexed	2023-09-18T23:18:41Z
last_indexed	2023-09-18T23:18:41Z
_version_	1777419285410349056

Site-specific management of immature oil palm on peat: GPS, GIS and geostatistical approach / James Lopaz Luhum

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