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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-nutri...

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Main Authors: Muhamad Tajudin, Nur Shuhada, Musa, Mohamed Hanafi, Abu Seman, Idris, Balasundram, Siva Kumar
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Online Access:http://psasir.upm.edu.my/id/eprint/52438/1/Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf%20and%20soil%20of%20oil%20palm%20planted%20on%20a%2012%20ha%20land%20using%20geospatial%20information%20system%20technology.pdf
http://psasir.upm.edu.my/id/eprint/52438/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6717
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spelling my.upm.eprints.524382017-06-06T09:09:05Z http://psasir.upm.edu.my/id/eprint/52438/ 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 Muhamad Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Balasundram, Siva Kumar 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 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/52438/1/Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf%20and%20soil%20of%20oil%20palm%20planted%20on%20a%2012%20ha%20land%20using%20geospatial%20information%20system%20technology.pdf Muhamad Tajudin, Nur Shuhada and Musa, Mohamed Hanafi and Abu Seman, Idris and Balasundram, Siva Kumar (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 (Sciences & Engineering), 77 (24). pp. 113-118. ISSN 0127-9696; ESSN: 2180-3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6717
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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 Muhamad Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Balasundram, Siva Kumar
spellingShingle Muhamad Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Balasundram, Siva Kumar
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
author_facet Muhamad Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Balasundram, Siva Kumar
author_sort Muhamad 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://psasir.upm.edu.my/id/eprint/52438/1/Predicting%20the%20variability%20of%20copper%20and%20zinc%20in%20leaf%20and%20soil%20of%20oil%20palm%20planted%20on%20a%2012%20ha%20land%20using%20geospatial%20information%20system%20technology.pdf
http://psasir.upm.edu.my/id/eprint/52438/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/6717
_version_ 1643835249509007360
score 13.211869

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