In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense

Daval, Aurélie; Pomiès, Virginie; Squin, Sandrine Le; Denis, Marie; Riou, Virginie; Breton, Frédéric; Nopariansyah, None; Bink, M.C.A.M.; Cochard, Benoît; Jacob, Florence; Billotte, Norbert; Tisné, Sébastien

doi:10.1007/s11032-021-01246-9

Cited by 6 publications

(2 citation statements)

References 65 publications

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“…Marker-assisted selection (MAS) identifies genetic markers for Ganoderma resistance in oil palm breeding, facilitating the selection of resistant planting material with reduced field infection rates [ 419 ]. The genetic diversity and population structure of G. boninense were examined using cDNA-SSR markers.…”

Section: Research On Disease Management Strategies To Control Basal S...mentioning

confidence: 99%

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

Karunarathna,

Patabendige,

et al. 2024

JoF

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Phytopathogenic Ganoderma species pose a significant threat to global plant health, resulting in estimated annual economic losses exceeding USD (US Dollars) 68 billion in the agriculture and forestry sectors worldwide. To combat this pervasive menace effectively, a comprehensive understanding of the biology, ecology, and plant infection mechanisms of these pathogens is imperative. This comprehensive review critically examines various aspects of Ganoderma spp., including their intricate life cycle, their disease mechanisms, and the multifaceted environmental factors influencing their spread. Recent studies have quantified the economic impact of Ganoderma infections, revealing staggering yield losses ranging from 20% to 80% across various crops. In particular, oil palm plantations suffer devastating losses, with an estimated annual reduction in yield exceeding 50 million metric tons. Moreover, this review elucidates the dynamic interactions between Ganoderma and host plants, delineating the pathogen’s colonization strategies and its elicitation of intricate plant defense responses. This comprehensive analysis underscores the imperative for adopting an integrated approach to Ganoderma disease management. By synergistically harnessing cultural practices, biological control, and chemical treatments and by deploying resistant plant varieties, substantial strides can be made in mitigating Ganoderma infestations. Furthermore, a collaborative effort involving scientists, breeders, and growers is paramount in the development and implementation of sustainable strategies against this pernicious plant pathogen. Through rigorous scientific inquiry and evidence-based practices, we can strive towards safeguarding global plant health and mitigating the dire economic consequences inflicted by Ganoderma infections.

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Section: Research On Disease Management Strategies To Control Basal S...mentioning

confidence: 99%

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

Karunarathna,

Patabendige,

et al. 2024

JoF

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“…To date, although research has been done on the treatment of BSR, there is no cure for BSR disease [10][11][12]. Therefore, research has been done to find G. boninense-resistant planting materials to alleviate the spread and damage caused by G. boninense [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Automatic detection of an early stage of basal stem rot disease infection using VGG16 and mask R-CNN

Yong

Khairunniza-Bejo

Jahari

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Oil palm is the world’s most important oil crop, accounting for roughly 40% of all traded vegetable oil. Basal Stem Rot (BSR) has posed a significant concern to the oil palm industry, particularly in Southeast Asia, as it has the potential to cause substantial economic losses. Laboratory-based methods are reliable for early BSR detection. However, they are costly and destructive. Other methodologies used a semi-automatic approach which requires human intervention. Therefore, this paper presents an automatic detection of BSR using hyperspectral data and a deep learning approach, which includes a Mask R-CNN for image segmentation and a VGG16 as a classifier. The Mask R-CNN was trained using Set B images, and the images in Set A were masked using the mask produced by the Mask R-CNN. The VGG16 was trained with the masked images (Set A). This fully automatic approach demonstrated high model performance with 85.46% accuracy, 86.74% F1 score, 95.02% recall, and a classification time of 0.08s/image. The findings of this research have the potential to significantly benefit the oil palm industry by automatically detecting BSR at an early stage, thus allowing for the prevention of disease spread. It can also help solve the problem of labor shortage.

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Genomic selection in tropical perennial crops and plantation trees: a review

et al. 2022

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In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense

Cited by 6 publications

References 65 publications

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

Automatic detection of an early stage of basal stem rot disease infection using VGG16 and mask R-CNN

Genomic selection in tropical perennial crops and plantation trees: a review

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