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Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system

Basal stem rot disease (BSR) is known to be responsible for yield losses in oil palm plantations in Southeast Asia. A balance nutrient in soil and leaf is known to improve the plant health and disease resistance. In order to observe how nitrogen (N), potassium (P) and phosphorus (K) content in soil...

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Main Authors: Tajudin, Nur Shuhada, Musa, Mohamed Hanafi, Abu Seman, Idris, Che Amri, Che Nurul Aini
Format: Article
Published: Malaysian Palm Oil Board 2020
Online Access:http://psasir.upm.edu.my/id/eprint/87378/
http://jopr.mpob.gov.my/quantifying-spatial-variability-of-soil-and-leaf-nitrogen-phosphorous-and-potassium-of-basal-stem-rot-infected-oil-palms-using-geospatial-information-system/
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spelling my.upm.eprints.873782023-09-18T03:28:28Z http://psasir.upm.edu.my/id/eprint/87378/ Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system Tajudin, Nur Shuhada Musa, Mohamed Hanafi Abu Seman, Idris Che Amri, Che Nurul Aini Basal stem rot disease (BSR) is known to be responsible for yield losses in oil palm plantations in Southeast Asia. A balance nutrient in soil and leaf is known to improve the plant health and disease resistance. In order to observe how nitrogen (N), potassium (P) and phosphorus (K) content in soil and leaf affect the BSR occurrence, a field study was conducted in infected blocks of oil palms at two different ages. Nutrients variability (N, P and K) were obtained, analysed and mapped using classical statistics and geospatial method. Correlated to BSR disease, total N and available P in soil were found to be high in both blocks. However, exchangeable K exhibited low level. Total N and available P in soil of Blocks 1 and 2, and N and P in leaves of Block 1 showed a significant association with the disease (p<0.01). The generated variability map and significant correlations revealed that imbalanced nutrient content occurred in the study area. This would be one of the causes that lead to the disease outbreak. Malaysian Palm Oil Board 2020-08-27 Article PeerReviewed Tajudin, Nur Shuhada and Musa, Mohamed Hanafi and Abu Seman, Idris and Che Amri, Che Nurul Aini (2020) Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system. Journal of Oil Palm Research, 32 (3). 427 - 438. ISSN 2811-4701 http://jopr.mpob.gov.my/quantifying-spatial-variability-of-soil-and-leaf-nitrogen-phosphorous-and-potassium-of-basal-stem-rot-infected-oil-palms-using-geospatial-information-system/ 10.21894/jopr.2020.0047
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/
description Basal stem rot disease (BSR) is known to be responsible for yield losses in oil palm plantations in Southeast Asia. A balance nutrient in soil and leaf is known to improve the plant health and disease resistance. In order to observe how nitrogen (N), potassium (P) and phosphorus (K) content in soil and leaf affect the BSR occurrence, a field study was conducted in infected blocks of oil palms at two different ages. Nutrients variability (N, P and K) were obtained, analysed and mapped using classical statistics and geospatial method. Correlated to BSR disease, total N and available P in soil were found to be high in both blocks. However, exchangeable K exhibited low level. Total N and available P in soil of Blocks 1 and 2, and N and P in leaves of Block 1 showed a significant association with the disease (p<0.01). The generated variability map and significant correlations revealed that imbalanced nutrient content occurred in the study area. This would be one of the causes that lead to the disease outbreak.
format Article
author Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Che Amri, Che Nurul Aini
spellingShingle Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Che Amri, Che Nurul Aini
Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
author_facet Tajudin, Nur Shuhada
Musa, Mohamed Hanafi
Abu Seman, Idris
Che Amri, Che Nurul Aini
author_sort Tajudin, Nur Shuhada
title Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
title_short Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
title_full Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
title_fullStr Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
title_full_unstemmed Quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
title_sort quantifying spatial variability of soil and leaf nitrogen, phosphorus, and potassium of basal stem rot infected oil palms using geospatial information system
publisher Malaysian Palm Oil Board
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/87378/
http://jopr.mpob.gov.my/quantifying-spatial-variability-of-soil-and-leaf-nitrogen-phosphorous-and-potassium-of-basal-stem-rot-infected-oil-palms-using-geospatial-information-system/
_version_ 1781706668113920000
score 13.211869

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