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

Nur Shuhada Tajudin, . and Mohamed Hanafi Musa, . and Idris Abu Seman, . and Che Nurul Aini Che Amri, . Quantifying spatial variability of soil and leaf nitrogen phosphorous and potassium of basal stem rot infected oil palms using geospatial information system. pp. 427-438. ISSN 1511-2780

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 (p0.01). 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.

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Abstract

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 (p0.01). 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.

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Item Type:	Article
AGROVOC Term:	Oil palm
AGROVOC Term:	Elaeis guineensis
AGROVOC Term:	Disease incidence
AGROVOC Term:	GIS
AGROVOC Term:	Geographic information systems
AGROVOC Term:	Soil analysis
AGROVOC Term:	Leaf analysis
AGROVOC Term:	Nitrogen
AGROVOC Term:	Potassium
AGROVOC Term:	Phosphorus
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/9198

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