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Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor

Basal stem rot (BSR) caused by Ganoderma boninense is a major disease attacking the oil palm plantation in Malaysia, and incur big losses in palm oil industries. The disease is spread mostly by root either through spore availability in soil or roots contacts. Soil properties were reported to have si...

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Main Authors: Abdul Aziz, Mohd Hamim, Bejo, Siti Khairunniza, Hashim, Fazirulhisyam, Ramli, Nur Hidayah, Ahmad, Desa
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2019
Online Access:http://psasir.upm.edu.my/id/eprint/69710/1/19%20JST-S0515-2019.pdf
http://psasir.upm.edu.my/id/eprint/69710/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(S1).%202019/19%20JST-S0515-2019.pdf
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spelling my.upm.eprints.697102019-07-08T07:17:50Z http://psasir.upm.edu.my/id/eprint/69710/ Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor Abdul Aziz, Mohd Hamim Bejo, Siti Khairunniza Hashim, Fazirulhisyam Ramli, Nur Hidayah Ahmad, Desa Basal stem rot (BSR) caused by Ganoderma boninense is a major disease attacking the oil palm plantation in Malaysia, and incur big losses in palm oil industries. The disease is spread mostly by root either through spore availability in soil or roots contacts. Soil properties were reported to have significant influence on the growth of fungi. Meanwhile, the value of soil resistivity is influenced by soil properties. This paper presents a new approach of BSR detection by using soil moisture sensor which measures resistivity of soil in unit ohm (Ω) at 15 cm surrounding the basal stem of oil palm trees. The study was conducted on 39 oil palm trees at different healthiness levels. The sensor was embedded approximately 4.7 cm deep in the soil at eight different points for each palm. The results showed that healthy oil palm trees significantly have higher mean (ERMEAN ≥ 400) of electrical resistance (ER) readings compared to infected trees (ERMEAN< 400). More specifically, ER readings at points without symptoms (i.e. fruiting bodies and/or hollow) were significantly higher compared with ER readings at points where symptoms appeared even though the points of measurements were on the same palm. This finding has brought to the introduction of a new index to detect Ganoderma infection, named as K-index. Combination of ERMEAN taken from eight points of measurement and its K-index gave better results of detection and a new model was developed based on these two parameters (i.e. ERMEAN and K-index). The developed model has accuracy rates of 82% and gained 100% successful rate during validation. This research showed that soil resistivity can contribute to Ganoderma-infected detection in oil palms with a high degree of accuracy. Universiti Putra Malaysia Press 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69710/1/19%20JST-S0515-2019.pdf Abdul Aziz, Mohd Hamim and Bejo, Siti Khairunniza and Hashim, Fazirulhisyam and Ramli, Nur Hidayah and Ahmad, Desa (2019) Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor. Pertanika Journal of Science & Technology, 27 (S1). pp. 225-234. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(S1).%202019/19%20JST-S0515-2019.pdf
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 Basal stem rot (BSR) caused by Ganoderma boninense is a major disease attacking the oil palm plantation in Malaysia, and incur big losses in palm oil industries. The disease is spread mostly by root either through spore availability in soil or roots contacts. Soil properties were reported to have significant influence on the growth of fungi. Meanwhile, the value of soil resistivity is influenced by soil properties. This paper presents a new approach of BSR detection by using soil moisture sensor which measures resistivity of soil in unit ohm (Ω) at 15 cm surrounding the basal stem of oil palm trees. The study was conducted on 39 oil palm trees at different healthiness levels. The sensor was embedded approximately 4.7 cm deep in the soil at eight different points for each palm. The results showed that healthy oil palm trees significantly have higher mean (ERMEAN ≥ 400) of electrical resistance (ER) readings compared to infected trees (ERMEAN< 400). More specifically, ER readings at points without symptoms (i.e. fruiting bodies and/or hollow) were significantly higher compared with ER readings at points where symptoms appeared even though the points of measurements were on the same palm. This finding has brought to the introduction of a new index to detect Ganoderma infection, named as K-index. Combination of ERMEAN taken from eight points of measurement and its K-index gave better results of detection and a new model was developed based on these two parameters (i.e. ERMEAN and K-index). The developed model has accuracy rates of 82% and gained 100% successful rate during validation. This research showed that soil resistivity can contribute to Ganoderma-infected detection in oil palms with a high degree of accuracy.
format Article
author Abdul Aziz, Mohd Hamim
Bejo, Siti Khairunniza
Hashim, Fazirulhisyam
Ramli, Nur Hidayah
Ahmad, Desa
spellingShingle Abdul Aziz, Mohd Hamim
Bejo, Siti Khairunniza
Hashim, Fazirulhisyam
Ramli, Nur Hidayah
Ahmad, Desa
Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
author_facet Abdul Aziz, Mohd Hamim
Bejo, Siti Khairunniza
Hashim, Fazirulhisyam
Ramli, Nur Hidayah
Ahmad, Desa
author_sort Abdul Aziz, Mohd Hamim
title Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
title_short Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
title_full Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
title_fullStr Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
title_full_unstemmed Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
title_sort evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor
publisher Universiti Putra Malaysia Press
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/69710/1/19%20JST-S0515-2019.pdf
http://psasir.upm.edu.my/id/eprint/69710/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(S1).%202019/19%20JST-S0515-2019.pdf
_version_ 1643839561272393728
score 13.211869

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