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Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology

Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nu...

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Main Authors:	Tajudin, Nur Shuhada, Musa, Mohamed Hanafi, Abu Seman, Idris, Balasundram, Sivakumar
Format:	Article
Language:	English English
Published:	Penerbit UTM Press 2015
Subjects:	S Agriculture (General) T Technology (General)
Online Access:	http://irep.iium.edu.my/46912/1/6717-18458-1-SM.pdf http://irep.iium.edu.my/46912/4/46912_Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf_SCOPUS.pdf http://irep.iium.edu.my/46912/ http://www.penerbit.utm.my/
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spelling	my.iium.irep.469122017-12-13T09:50:48Z http://irep.iium.edu.my/46912/ Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Balasundram, Sivakumar S Agriculture (General) T Technology (General) Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nutrients. Hence, to observe and predict the fertility status of the oil palm plantation area, a 12 hectare study site was used and a total of 60 geo-referenced soil and leaf samples were collected for determinations of pH and selected micronutrients of Cu and Zn content. The data were explored and mapped using geostatistic and Geographic Information System (GIS). The study area had acidic type of soil with pH ranged from 3.25-5.85. The analysis showed that almost 78% of the study area had high content of Cu in soil, while another 22% of area was low to moderate in Cu. However, Cu content in leaf were categorized as insufficient as 100% of the area was observed to have Cu less than 3 ppm. About 80% of the study area showed a low to moderate content of Zn in soil, while another 20% of area showed a high content of Zn. Zinc content in leaf ranged from optimum to high categories. However, this value did not reach the excess level of Zn (50 ppm). These results suggest that, this plantation area need a site specific management approach in order to increase its crop productivity in regards to nutrient management. As a preliminary recommendation, a zone management practice would be applied in future as it is beneficial in term of protecting the environment from excessive fertilizer. Penerbit UTM Press 2015-10-15 Article REM application/pdf en http://irep.iium.edu.my/46912/1/6717-18458-1-SM.pdf application/pdf en http://irep.iium.edu.my/46912/4/46912_Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf_SCOPUS.pdf Tajudin, Nur Shuhada and Musa, Mohamed Hanafi and Abu Seman, Idris and Balasundram, Sivakumar (2015) Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology. Jurnal Teknologi, 77 (24). pp. 113-118. ISSN 2180-3722 http://www.penerbit.utm.my/
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English
topic	S Agriculture (General) T Technology (General)
spellingShingle	S Agriculture (General) T Technology (General) Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Balasundram, Sivakumar Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
description	Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nutrients. Hence, to observe and predict the fertility status of the oil palm plantation area, a 12 hectare study site was used and a total of 60 geo-referenced soil and leaf samples were collected for determinations of pH and selected micronutrients of Cu and Zn content. The data were explored and mapped using geostatistic and Geographic Information System (GIS). The study area had acidic type of soil with pH ranged from 3.25-5.85. The analysis showed that almost 78% of the study area had high content of Cu in soil, while another 22% of area was low to moderate in Cu. However, Cu content in leaf were categorized as insufficient as 100% of the area was observed to have Cu less than 3 ppm. About 80% of the study area showed a low to moderate content of Zn in soil, while another 20% of area showed a high content of Zn. Zinc content in leaf ranged from optimum to high categories. However, this value did not reach the excess level of Zn (50 ppm). These results suggest that, this plantation area need a site specific management approach in order to increase its crop productivity in regards to nutrient management. As a preliminary recommendation, a zone management practice would be applied in future as it is beneficial in term of protecting the environment from excessive fertilizer.
format	Article
author	Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Balasundram, Sivakumar
author_facet	Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Balasundram, Sivakumar
author_sort	Tajudin, Nur Shuhada
title	Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
title_short	Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
title_full	Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
title_fullStr	Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
title_full_unstemmed	Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
title_sort	predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology
publisher	Penerbit UTM Press
publishDate	2015
url	http://irep.iium.edu.my/46912/1/6717-18458-1-SM.pdf http://irep.iium.edu.my/46912/4/46912_Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf_SCOPUS.pdf http://irep.iium.edu.my/46912/ http://www.penerbit.utm.my/
_version_	1643613086917066752
score	13.211869

Predicting the variability of copper and zinc in leaf and soil of oil palm planted on a 12 ha land using geospatial information system technology

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