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Distribution of infected oil palms with Ganoderma basal stems root disease

The objective of this study is to spatially identify the pattern of Ganoderma disease under natural field epidemic using three different spatial point pattern analyses, which are nearest neighbor analysis and refined nearest neighbor analysis for first order spatial analysis, and Ripley’s K functi...

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Main Authors: Assis Kamu, Chong, Khim Phin, Idris Abu Seman, Ho, Chong Mun
Format: Article
Language:English
English
Published: Journal of Scientific Research and Development 2015
Subjects:
SB Plant culture
Online Access:https://eprints.ums.edu.my/id/eprint/19375/1/Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf
https://eprints.ums.edu.my/id/eprint/19375/7/13.Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf
https://eprints.ums.edu.my/id/eprint/19375/
http://jsrad.org/wp-content/2015/Issue%2010,%202015/9j.pdf
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spelling my.ums.eprints.193752021-04-30T02:54:11Z https://eprints.ums.edu.my/id/eprint/19375/ Distribution of infected oil palms with Ganoderma basal stems root disease Assis Kamu Chong, Khim Phin Idris Abu Seman Ho, Chong Mun SB Plant culture The objective of this study is to spatially identify the pattern of Ganoderma disease under natural field epidemic using three different spatial point pattern analyses, which are nearest neighbor analysis and refined nearest neighbor analysis for first order spatial analysis, and Ripley’s K function for second order spatial analysis. Three commercial oil palm sites with three replicate areas per site were selected in this study with different age of palm tree. The nearest neighbor analysis showed that the spatial distribution of the infected palms in all the replicate areas at SKE0224 was clustered. Refined nearest neighbor analysis and Ripley’s K function also showed that the distribution of the infected palms in all the areas studied was clustered. But statistical test through Monte Carlo simulation showed that the cluster distribution of the infected palms in most of the areas studied was not statistically significant. Nevertheless, the study has proved that the spatial distribution of the infected palms under natural epidemic is not random, disperse or uniform but it is more to cluster pattern. This suggests the spread of the disease could be from tree to tree possibly through root contact as proved by many past studies. Journal of Scientific Research and Development 2015 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19375/1/Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf text en https://eprints.ums.edu.my/id/eprint/19375/7/13.Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf Assis Kamu and Chong, Khim Phin and Idris Abu Seman and Ho, Chong Mun (2015) Distribution of infected oil palms with Ganoderma basal stems root disease. Journal of Scientific Research and Development, 2 (10). pp. 49-55. ISSN 1115-7569 http://jsrad.org/wp-content/2015/Issue%2010,%202015/9j.pdf
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic SB Plant culture
spellingShingle SB Plant culture
Assis Kamu
Chong, Khim Phin
Idris Abu Seman
Ho, Chong Mun
Distribution of infected oil palms with Ganoderma basal stems root disease
description The objective of this study is to spatially identify the pattern of Ganoderma disease under natural field epidemic using three different spatial point pattern analyses, which are nearest neighbor analysis and refined nearest neighbor analysis for first order spatial analysis, and Ripley’s K function for second order spatial analysis. Three commercial oil palm sites with three replicate areas per site were selected in this study with different age of palm tree. The nearest neighbor analysis showed that the spatial distribution of the infected palms in all the replicate areas at SKE0224 was clustered. Refined nearest neighbor analysis and Ripley’s K function also showed that the distribution of the infected palms in all the areas studied was clustered. But statistical test through Monte Carlo simulation showed that the cluster distribution of the infected palms in most of the areas studied was not statistically significant. Nevertheless, the study has proved that the spatial distribution of the infected palms under natural epidemic is not random, disperse or uniform but it is more to cluster pattern. This suggests the spread of the disease could be from tree to tree possibly through root contact as proved by many past studies.
format Article
author Assis Kamu
Chong, Khim Phin
Idris Abu Seman
Ho, Chong Mun
author_facet Assis Kamu
Chong, Khim Phin
Idris Abu Seman
Ho, Chong Mun
author_sort Assis Kamu
title Distribution of infected oil palms with Ganoderma basal stems root disease
title_short Distribution of infected oil palms with Ganoderma basal stems root disease
title_full Distribution of infected oil palms with Ganoderma basal stems root disease
title_fullStr Distribution of infected oil palms with Ganoderma basal stems root disease
title_full_unstemmed Distribution of infected oil palms with Ganoderma basal stems root disease
title_sort distribution of infected oil palms with ganoderma basal stems root disease
publisher Journal of Scientific Research and Development
publishDate 2015
url https://eprints.ums.edu.my/id/eprint/19375/1/Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf
https://eprints.ums.edu.my/id/eprint/19375/7/13.Distribution%20of%20infected%20oil%20palms%20with%20Ganoderma%20basal%20stems%20root%20disease.pdf
https://eprints.ums.edu.my/id/eprint/19375/
http://jsrad.org/wp-content/2015/Issue%2010,%202015/9j.pdf
_version_ 1760229572524113920
score 13.211869

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