Dataset Information

Draft Genome Sequence of a Phytopathogenic Ganoderma sp. Strain That Causes Basal Stem Rot Disease on Oil Palm in Sabah, Malaysia.

ABSTRACT: Basal stem rot (BSR) disease on Elaeis guineens is known to be caused by members of the pathogenic fungal genus Ganoderma, especially the species Ganoderma boninense This species affects oil palm plantation in Sabah, Malaysia. The genome sequence (52.28 Mbp) will add to the representation of this genus, especially in regard to BSR disease.

SUBMITTER: Voo CLY

PROVIDER: S-EPMC6940288 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Publications

Draft Genome Sequence of a Phytopathogenic Ganoderma sp. Strain That Causes Basal Stem Rot Disease on Oil Palm in Sabah, Malaysia.

Voo Christopher L Y CLY Yeo Daniel E T DET Chong Khim-Phin KP Rodrigues Kenneth F KF

Microbiology resource announcements 20200102 1

Basal stem rot (BSR) disease on Elaeis guineens is known to be caused by members of the pathogenic fungal genus Ganoderma, especially the species Ganoderma boninense This species affects oil palm plantation in Sabah, Malaysia. The genome sequence (52.28 Mbp) will add to the representation of this genus, especially in regard to BSR disease. ...[more]

PMID: 31896636

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Project description:Ground-based LiDAR also known as Terrestrial Laser Scanning (TLS) technology is an active remote sensing imaging method said to be one of the latest advances and innovations for plant phenotyping. Basal Stem Rot (BSR) is the most destructive disease of oil palm in Malaysia that is caused by white-rot fungus Ganoderma boninense, the symptoms of which include flattening and hanging-down of the canopy, shorter leaves, wilting green fronds and smaller crown size. Therefore, until now there is no critical investigation on the characterisation of canopy architecture related to this disease using TLS method was carried out. This study proposed a novel technique of BSR classification at the oil palm canopy analysis using the point clouds data taken from the TLS. A total of 40 samples of oil palm trees at the age of nine-years-old were selected and 10 trees for each health level were randomly taken from the same plot. The trees were categorised into four health levels - T0, T1, T2 and T3, which represents the healthy, mildly infected, moderately infected and severely infected, respectively. The TLS scanner was mounted at a height of 1 m and each palm was scanned at four scan positions around the tree to get a full 3D image. Five parameters were analysed: S200 (canopy strata at 200 cm from the top), S850 (canopy strata at 850 cm from the top), crown pixel (number of pixels inside the crown), frond angle (degree of angle between fronds) and frond number. The results taken from statistical analysis revealed that frond number was the best single parameter to detect BSR disease as early as T1. In classification models, a linear model with a combination of parameters, ABD - A (frond number), B (frond angle) and D (S200), delivered the highest average accuracy for classification of healthy-unhealthy trees with an accuracy of 86.67 per cent. It also can classify the four severity levels of infection with an accuracy of 80 per cent. This model performed better when compared to the severity classification using frond number. The novelty of this research is therefore on the development of new approach to detect and classify BSR using point clouds data of TLS.

Dataset Information

Draft Genome Sequence of a Phytopathogenic Ganoderma sp. Strain That Causes Basal Stem Rot Disease on Oil Palm in Sabah, Malaysia.

Publications

Draft Genome Sequence of a Phytopathogenic Ganoderma sp. Strain That Causes Basal Stem Rot Disease on Oil Palm in Sabah, Malaysia.

Similar Datasets

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