GanoCare® Improves Oil Palm Growth and Resistance against Ganoderma Basal Stem Rot Disease in Nursery and Field Trials

Rebitanim, Nur Akmal; Hanafi, Mohamed; Idris, Abu Seman; Abdullah, Siti Nor Akmar; Mohidin, Hasmah; Rebitanim, Nur Zalikha

doi:10.1155/2020/3063710

Cited by 21 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The modified extract was applied to the oil palm seedlings maintained in the greenhouse without fertilizer. The plants were treated with extracts from metabolite compounds of D. esculentum (DE), R. humilis (RE), and pyraclostrobin fungicide, each amounting to a volume of 50 mL (Said et al 2019;Rebitanim et al 2020;Bivi et al 2016). Plants as positive (healthy plant, not inoculated with G. boninense) and negative controls (inoculated with G. boninense but without treatment) were included to perform a comparison (Idris et al 2006).…”

Section: Methodsmentioning

confidence: 99%

The Fourier transform infrared spectroscopy from Diplazium esculentum and Rivina humilis analysis to reveals the existence of necessary components in oil palm plantations of Ganoderma boninense control

et al. 2021

View full text Add to dashboard Cite

Abstract. Saragih WS, Purba E, Lisnawita, Basyuni M. 2021. The Fourier transform infrared spectroscopy from Diplazium esculentum and Rivina humilis analysis reveals necessary components in oil palm plantations of Ganoderma boninense control. Biodiversitas 22: 3645-3651. The Fourier transform infrared spectroscopy (FTIR) has been widely utilized for biological samples and biomolecular characterization. We aim to identify Ganoderma boninense through FTIR and obtain a functional group that can facilitate early basal stem rot detection. Here, positive control (KP) was not inoculated with G. boninense and negative control (KN) was inoculated with G. boninense. However, the treatment samples, Diplazium esculentum leaf extract, Rivina humilis leaf extract, and fungicide treatment, were not inoculated with G. boninense. The positive control oil-palm leaf samples exhibited spectral bands similar to those in the D. esculentum extract, R. humilis extract, and fungicide treatment. Strong bonds were observed at wavelengths 3379 cm-1, 2927 cm-1, 1639 cm-1, and 1056 cm-1. Others were moderate to weak, except the negative control samples with strong bonds at 2044 cm-1. This indicates amine N-H functional groups, alkane functional group C-H, functional group alkene C=C, C-O, functional group ester, and functional group isothiocyanate N=C=S (C4H5NS or CH2 = CHCH2N=C=S). The FTIR plot result denotes G. boninense through N=C=S Isothiocyanate functional group presence at 2140-1990 cm-1. This unique structure is only found in infected oil-palm leaf tissues of G. boninense. Our study suggests that FTIR spectroscopy is more beneficial than conventional methods in early detection of G. boninense infection in oil palm.

show abstract

Section: Methodsmentioning

confidence: 99%

The Fourier transform infrared spectroscopy from Diplazium esculentum and Rivina humilis analysis to reveals the existence of necessary components in oil palm plantations of Ganoderma boninense control

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Recently, a new fertilizer known as GanoCare ® was formulated from a combination of powdered empty fruit bunches (EFB) with a “beneficial element”, including a higher content of calcium (Ca), silicon (Si), zinc (Zn) and boron (B) [ 109 ]. While the application of this fertilizer significantly reduces the disease incidence by up to 70%, more in-depth studies are needed, specifically to uncover their effect on the biochemical responses of oil palms and the effect on oil production.…”

Section: Detection and Control Strategiesmentioning

confidence: 99%

Review Update on the Life Cycle, Plant–Microbe Interaction, Genomics, Detection and Control Strategies of the Oil Palm Pathogen Ganoderma boninense

Bharudin

Wahab

Samad

et al. 2022

Biology

View full text Add to dashboard Cite

Plant pathogens are key threats to agriculture and global food security, causing various crop diseases that lead to massive economic losses. Palm oil is a commodity export of economic importance in Southeast Asia, especially in Malaysia and Indonesia. However, the sustainability of oil palm plantations and production is threatened by basal stem rot (BSR), a devastating disease predominantly caused by the fungus Ganoderma boninense Pat. In Malaysia, infected trees have been reported in nearly 60% of plantation areas, and economic losses are estimated to reach up to ~USD500 million a year. This review covers the current knowledge of the mechanisms utilized by G. boninense during infection and the methods used in the disease management to reduce BSR, including cultural practices, chemical treatments and antagonistic microorganism manipulations. Newer developments arising from multi-omics technologies such as whole-genome sequencing (WGS) and RNA sequencing (RNA-Seq) are also reviewed. Future directions are proposed to increase the understanding of G. boninense invasion mechanisms against oil palm. It is hoped that this review can contribute towards an improved disease management and a sustainable oil palm production in this region.

show abstract

“…The initial symptoms of BSR in oil palm are visible in the leaves, and this occurs after at least 50% of the cross-sectional area of the stem base has been injured. The rot impedes nutrient and water availability to the aerial regions, resulting in symptoms similar to nutritional imbalance and water stress [91].…”

Section: Effect Of Temperature Featurementioning

confidence: 99%

Classification of Non-Infected and Infected with Basal Stem Rot Disease Using Thermal Images and Imbalanced Data Approach

et al. 2021

View full text Add to dashboard Cite

Basal stem rot (BSR) disease occurs due to the most aggressive and threatening fungal attack of the oil palm plant known as Ganoderma boninense (G. boninense). BSR is a disease that has a significant impact on oil palm crops in Malaysia and Indonesia. Currently, the only sustainable strategy available is to extend the life of oil palm trees, as there is no effective treatment for BSR disease. This study used thermal imagery to identify the thermal features to classify non-infected and BSR-infected trees. The aims of this study were to (1) identify the potential temperature features and (2) examine the performance of machine learning (ML) classifiers (naïve Bayes (NB), multilayer perceptron (MLP), and random forest (RF) to classify oil palm trees that are non-infected and BSR-infected. The sample size consisted of 55 uninfected trees and 37 infected trees. We used the imbalance data approaches such as random undersampling (RUS), random oversampling (ROS) and synthetic minority oversampling (SMOTE) in these classifications due to the different sample sizes. The study found that the Tmax feature is the most beneficial temperature characteristic for classifying non-infected or infected BSR trees. Meanwhile, the ROS approach improves the curve region (AUC) and PRC results compared to a single approach. The result showed that the temperature feature Tmax and combination feature TmaxTmin had a higher correct classification for the G. boninense non-infected and infected oil palm trees for the ROS-RF and had a robust success rate, classifying correctly 87.10% for non-infected and 100% for infected by G. boninense. In terms of model performance using the most significant variables, Tmax, the ROS-RF model had an excellent receiver operating characteristics (ROC) curve region (AUC) of 0.921, and the precision–recall curve (PRC) region gave a value of 0.902. Therefore, it can be concluded that the ROS-RF, using the Tmax, can be used to predict BSR disease with relatively high accuracy.

show abstract

GanoCare® Improves Oil Palm Growth and Resistance against Ganoderma Basal Stem Rot Disease in Nursery and Field Trials

Cited by 21 publications

References 24 publications

The Fourier transform infrared spectroscopy from Diplazium esculentum and Rivina humilis analysis to reveals the existence of necessary components in oil palm plantations of Ganoderma boninense control

The Fourier transform infrared spectroscopy from Diplazium esculentum and Rivina humilis analysis to reveals the existence of necessary components in oil palm plantations of Ganoderma boninense control

Review Update on the Life Cycle, Plant–Microbe Interaction, Genomics, Detection and Control Strategies of the Oil Palm Pathogen Ganoderma boninense

Classification of Non-Infected and Infected with Basal Stem Rot Disease Using Thermal Images and Imbalanced Data Approach

Contact Info

Product

Resources

About