Molecular and diagnostic advances for basal stem rot management in oil palm

• G. boninense effectors suppress host defenses, need study. • AI diagnostics detect BSR early with 95% accuracy. • IDM with CRISPR enhances oil palm resistance. Basal stem rot (BSR), caused by Ganoderma boninense , is the most destructive disease affecting oil palm ( Elaeis guineensis ), leading to yield losses of up to 70% in severely affected plantations. This review synthesizes recent advances in understanding the physiological and molecular mechanisms underlying BSR, including pathogen genetic diversity, effector protein functions, and host-pathogen interaction. Emphasis is placed on AI-based diagnostics such as RNA aptasensors and UAV-assisted remote sensing, which enable early, high-precision disease detection. The review also discusses CRISPR-mediated resistance breeding and the application of biological control agents, particularly Trichoderma spp. and endophytic fungi. By integrating genomic insights, molecular detection tools, and resistance breeding, a targeted framework integrating molecular diagnostics and genetic resistance is proposed for effective BSR management, improving oil palm resilience while minimizing environmental and economic impacts. In this review, a multi-omics model is suggested, combining the genomics of Ganoderma boninense pathogenicity with AI diagnostics and CRISPR resistance breeding to facilitate precise early intervention, bridge the scalability gap, strain variability, and the applicability of smallholder to BSR sustainable management. The connectivity of these advances achieves the bridge of the key gaps in scalability of the field, strain variability, and smallholder accessibility enabling the development of a sustainable disease control in oil palm

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Publication Details

Journal
Biological Control
Published
2026-02-16
DOI
https://doi.org/10.1016/j.biocontrol.2026.105992
Primary Topic
Oil Palm Production and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

Molecular and diagnostic advances for basal stem rot management in oil palm

Thanet Khomphet, Temesgen Anjulo Ageru, Shams Shaila Islam, Iqra Rafiq et al.
Biological Control
Oil Palm Production and Sustainability
article

Molecular and diagnostic advances for basal stem rot management in oil palm

Thanet Khomphet, Temesgen Anjulo Ageru, Shams Shaila Islam, Iqra Rafiq, Waqas Haider, Muhammad Waqar, Farhang Hameed Awlqadr, Qudrat Ullah, M.Y. Nur Athiqah
article en

Abstract

• G. boninense effectors suppress host defenses, need study. • AI diagnostics detect BSR early with 95% accuracy. • IDM with CRISPR enhances oil palm resistance. Basal stem rot (BSR), caused by Ganoderma boninense , is the most destructive disease affecting oil palm ( Elaeis guineensis ), leading to yield losses of up to 70% in severely affected plantations. This review synthesizes recent advances in understanding the physiological and molecular mechanisms underlying BSR, including pathogen genetic diversity, effector protein functions, and host-pathogen interaction. Emphasis is placed on AI-based diagnostics such as RNA aptasensors and UAV-assisted remote sensing, which enable early, high-precision disease detection. The review also discusses CRISPR-mediated resistance breeding and the application of biological control agents, particularly Trichoderma spp. and endophytic fungi. By integrating genomic insights, molecular detection tools, and resistance breeding, a targeted framework integrating molecular diagnostics and genetic resistance is proposed for effective BSR management, improving oil palm resilience while minimizing environmental and economic impacts. In this review, a multi-omics model is suggested, combining the genomics of Ganoderma boninense pathogenicity with AI diagnostics and CRISPR resistance breeding to facilitate precise early intervention, bridge the scalability gap, strain variability, and the applicability of smallholder to BSR sustainable management. The connectivity of these advances achieves the bridge of the key gaps in scalability of the field, strain variability, and smallholder accessibility enabling the development of a sustainable disease control in oil palm

Biological ControlVol. 214
Islamia University of Bahawalpur (PK), Hajee Mohammad Danesh Science and Technology University (BD), Sulaimani Polytechnic University (IQ), Wolaita Sodo University (ET), Sultan Zainal Abidin University (MY), Walailak University (TH)
Openalex Percentile: Top 59%
Oil Palm Production and Sustainability
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