Palm Oil Research Articles

Optimization of fertilizer use efficiency, soil quality and oil palm (Elaeis guineensis Jacq.) growth with biochar under drip irrigation conditions irrigation conditions

Optimization of fertilizer use efficiency, soil quality and oil palm (Elaeis guineensis Jacq.) growth with biochar under drip irrigation conditions irrigation conditions

Tracking shifts in forest structural complexity through space and time in human‐modified tropical landscapes

Habitat structural complexity is an emergent property of ecosystems that directly shapes their biodiversity, functioning and resilience to disturbance. Yet despite its importance, we continue to lack consensus on how best to define structural complexity, nor do we have a generalised approach to measure habitat complexity across ecosystems. To bridge this gap, here we adapt a geometric framework developed to quantify the surface complexity of coral reefs and apply it to the canopies of tropical rainforests. Using high‐resolution, repeat‐acquisition airborne laser scanning data collected over 450 km2 of human‐modified tropical landscapes in Borneo, we generated 3D canopy height models of forests at varying stages of recovery from logging. We then tested whether the geometric framework of habitat complexity – which characterises 3D surfaces according to their height range, rugosity and fractal dimension – was able to detect how both human and natural disturbances drive variation in canopy structure through space and time across these landscapes. We found that together, these three metrics of surface complexity captured major differences in canopy 3D structure between highly degraded, selectively logged and old‐growth forests. Moreover, the three metrics were able to track distinct temporal patterns of structural recovery following logging and wind disturbance. However, in the process we also uncovered several important conceptual and methodological limitations with the geometric framework of habitat complexity. We found that fractal dimension was highly sensitive to small variations in data inputs and was ecologically counteractive (e.g. higher fractal dimension in oil palm plantations than old‐growth forests), while rugosity and height range were tightly correlated (r = 0.75) due to their strong dependency on maximum tree height. Our results suggest that forest structural complexity cannot be summarised using these three descriptors alone, as they overlook key features of canopy vertical and horizontal structure that arise from the way trees fill 3D space.Keywords: Forest disturbance, LiDAR, logging, recovery, remote sensing, structural complexity

Oil Palm in India: Market Arrivals and Price Movements

Oil palm is native to West Africa. It is one of nine major oils traded in the global edible oil. The study focuses on the trends in oil palm arrivals and market prices in India, particularly in Andhra Pradesh and Telangana states. There was a significant increase in annual oil palm arrivals from in Andhra Pradesh and Telangana, with a percentage change of 92.43% and 84.83% respectively. This increase was statistically significant at a 10% level, R² values are 0.9243 and 0.8483 respectively. A linear trend analysis for prices of oil palm from 2010 to 2022 indicated a consistent rise in oil palm prices in both states, with Andhra Pradesh seeing an annual increase of 737.05 Rupees and Telangana 757.72 Rupees. The percentage change in prices was 59.18% and 66.08% respectively, with R² values of 0.5918 and 0.6608. Positive and significant correlation coefficient is observed in both the states. Seasonal variations in prices were also analyzed, highlighting that oil palm prices were typically drop after harvest it is influenced by peak harvesting periods and imports of crude oil from other countries. In Andhra Pradesh, the seasonal price index for oil palm Fresh Fruit Bunches (FFBs) was highest in May and April months, then decreased to a minimum level due to increase in the oil palm arrivals. Understanding these seasonal patterns is crucial for effective decision-making by farmers, traders, and policymakers.

Aspergillus niger as an efficient biological agent for separator sludge remediation: two-level factorial design for optimal fermentation

Background The booming palm oil industry is in line with the growing population worldwide and surge in demand. This leads to a massive generation of palm oil mill effluent (POME). POME is composed of sterilizer condensate (SC), separator sludge (SS), and hydro-cyclone wastewater (HCW). Comparatively, SS exhibits the highest organic content, resulting in various environmental impacts. However, past studies mainly focused on treating the final effluent. Therefore, this pioneering research investigated the optimization of pollutant removal in SS via different aspects of bioremediation, including experimental conditions, treatment efficiencies, mechanisms, and degradation pathways. Methods A two-level factorial design was employed to optimize the removal of chemical oxygen demand (COD) and turbidity using Aspergillus niger. Bioremediation of SS was performed through submerged fermentation (SmF) under several independent variables, including temperature (20–40 °C), agitation speed (100–200 RPM), fermentation duration (72–240 h), and initial sample concentration (20–100%). The characteristics of the treated SS were then compared to that of raw sludge. Results Optimal COD and turbidity removal were achieved at 37 °C 100 RPM, 156 h, and 100% sludge. The analysis of variance (ANOVA) revealed a significant effect of selective individual and interacting variables (p < 0.05). The highest COD and turbidity removal were 97.43% and 95.11%, respectively, with less than 5% error from the predicted values. Remarkably, the selected optimized conditions also reduced other polluting attributes, namely, biological oxygen demand (BOD), oil and grease (OG), color, and carbon content. In short, this study demonstrated the effectiveness of A. niger in treating SS through the application of a two-level factorial design.

Analysis of Risk Factors and The Impact of Nitric Oxide (NO) and Carbon Monoxide (CO) Levels on Lung Function: A Comparative Study of Palm Oil Factory Workers and the Community in Kuantan Mudik District, Riau, Indonesia

Background: Air pollution, particularly from industrial sources like palm oil factories, poses a significant risk to respiratory health. This study aimed to investigate the impact of nitric oxide (NO) and carbon monoxide (CO) exposure on lung function in palm oil factory workers and compare it to the lung function of individuals in the surrounding community. Methods: A cross-sectional study was conducted in Kuantan Mudik District, Riau, Indonesia. One hundred palm oil factory workers with a minimum of two years of employment and 100 community members not occupationally exposed to NO and CO were recruited. Lung function was assessed using spirometry, and NO and CO levels were measured using specialized analyzers. Participants completed the European Community Respiratory Health Survey (ECRHS) questionnaire, and demographic and clinical data were collected. Statistical analyses included univariate, bivariate, and multivariate logistic regression. Results: Factory workers exhibited significantly higher levels of NO (p=0.000) and a higher prevalence of restrictive lung function (17%) compared to the community members (3%). Multivariate analysis identified NO exposure as the most significant risk factor for restrictive lung function (p=0.005). Each unit increase in NO was associated with a 1.12-fold increased risk of restrictive lung function. CO exposure, age, gender, smoking history, and the use of personal protective equipment (PPE) were not significantly associated with lung function impairment in this study. Conclusion: Occupational exposure to NO in palm oil factories is a significant risk factor for restrictive lung function impairment. Regular monitoring of NO levels and the implementation of effective control measures are crucial to protect the respiratory health of palm oil factory workers.

Multi-Omics Approaches in Oil Palm Research: A Comprehensive Review of Metabolomics, Proteomics, and Transcriptomics Based on Low-Temperature Stress

Oil palm (Elaeis guineensis Jacq.) is a typical tropical oil crop with a temperature of 26–28 °C, providing approximately 35% of the total world’s vegetable oil. Growth and productivity are significantly affected by low-temperature stress, resulting in inhibited growth and substantial yield losses. To comprehend the intricate molecular mechanisms underlying the response and acclimation of oil palm under low-temperature stress, multi-omics approaches, including metabolomics, proteomics, and transcriptomics, have emerged as powerful tools. This comprehensive review aims to provide an in-depth analysis of recent advancements in multi-omics studies on oil palm under low-temperature stress, including the key findings from omics-based research, highlighting changes in metabolite profiles, protein expression, and gene transcription, as well as including the potential of integrating multi-omics data to reveal novel insights into the molecular networks and regulatory pathways involved in the response to low-temperature stress. This review also emphasizes the challenges and prospects of multi-omics approaches in oil palm research, providing a roadmap for future investigations. Overall, a better understanding of the molecular basis of the response of oil palm to low-temperature stress will facilitate the development of effective breeding and biotechnological strategies to improve the crop’s resilience and productivity in changing climate scenarios.

Formulation of Coffee Grounds Bar Soap (Used Coffee Grounde)

Coffee consumption increases every year so that a lot of coffee grounds are wasted which can cause problems to the environment. This can be overcome by utilizing coffee grounds from various cafes/coffee shops. One of them is by making bar soap. The purpose of this study was to determine the quality of bar soap product formulations with the addition of different levels of coffee grounds based on the results of the pH test and organoleptic test. The research was conducted from October to December 2023 at the Banyorang Coffee Processing Center Office, Tompobulu Village, Banyorang District, Bantaeng Regency, South Sulawesi Province. This research method uses a Completely Randomized Design (CRD) with 4 (four) treatments, namelyformula 1 coffee grounds 40 g, palm oil 50%, coconut oil 30%, olive oil 20%, formula 2 coffee grounds 70 g, palm oil 50%, coconut oil 30%, olive oil 20%, formula 3 coffee grounds 100 g, palm oil 50%, coconut oil 30%, olive oil 20%, and formula F4 coffee grounds 130 g, palm oil 50%, coconut oil 30%, olive oil 20%. The results showed that the pH value is feasible to use bar soap for skin care 9.40 – 10.62 in accordance with SNI standards and organoleptic tests based on the criteria of color, aroma, texture, moisture, freshness, and freshness was in the formulation of 130 g coffee grounds, 50% palm oil, 30% coconut oil, and 10% olive oil.

Temporal Dynamics of Airborne Concentrations of Ganoderma Basidiospores and Their Relationship with Environmental Conditions in Oil Palm (Elaeis guineensis)

Temporal Dynamics of Airborne Concentrations of Ganoderma Basidiospores and Their Relationship with Environmental Conditions in Oil Palm (Elaeis guineensis)

Carbon Sequestration by Tropical Trees and Crops: A Case Study of Oil Palm

Carbon Sequestration by Tropical Trees and Crops: A Case Study of Oil Palm

Analisis Peluang dan Ancaman Perdagangan Bahan Pangan serta Kebijakan untuk Mengatasinya: Studi Kasus Indonesia dan Thailand

This research examines the potential for Indonesian agricultural exports to Thailand in the context of ASEAN trade. The analysis focuses on the comparative advantages of the two countries in key agricultural commodities such as rice, corn, sugar, palm oil and coffee. Production and export data for 2022 shows that Indonesia is ahead in palm oil and coffee production, while Thailand is dominant in rice and sugar exports. The 2021-2023 trade balance of both countries shows a deficit, with Thailand experiencing a much larger deficit. Despite facing challenges such as price fluctuations, climate and trade regulations, Indonesia has the opportunity to increase its agricultural exports to Thailand by improving production efficiency and product quality.

Variability in n-caprylate and n-caproate producing microbiomes in reactors with in-line product extraction.

Medium-chain carboxylates (MCCs) are used in various industrial applications. These chemicals are typically extracted from palm oil, which is deemed not sustainable. Recent research has focused on microbial chain elongation using reactors to produce MCCs, such as n-caproate (C6) and n-caprylate (C8), from organic substrates such as wastes. Even though the production of n-caproate is relatively well-characterized, bacteria and metabolic pathways that are responsible for n-caprylate production are not. Here, three 5 L reactors with continuous membrane-based liquid-liquid extraction (i.e., pertraction) were fed ethanol and acetate and operated for an operating period of 234 days with different operating conditions. Metagenomic and metaproteomic analyses were employed. n-Caprylate production rates and reactor microbiomes differed between reactors even when operated similarly due to differences in H2 and O2 between the reactors. The complete reverse β-oxidation (RBOX) pathway was present and expressed by several bacterial species in the Clostridia class. Several Oscillibacter spp., including Oscillibacter valericigenes, were positively correlated with n-caprylate production rates, while Clostridium kluyveri was positively correlated with n-caproate production. Pseudoclavibacter caeni, which is a strictly aerobic bacterium, was abundant across all the operating periods, regardless of n-caprylate production rates. This study provides insight into microbiota that are associated with n-caprylate production in open-culture reactors and provides ideas for further work.IMPORTANCEMicrobial chain elongation pathways in open-culture biotechnology systems can be utilized to convert organic waste and industrial side streams into valuable industrial chemicals. Here, we investigated the microbiota and metabolic pathways that produce medium-chain carboxylates (MCCs), including n-caproate (C6) and n-caprylate (C8), in reactors with in-line product extraction. Although the reactors in this study were operated similarly, different microbial communities dominated and were responsible for chain elongation. We found that different microbiota were responsible for n-caproate or n-caprylate production, and this can inform engineers on how to operate the systems better. We also observed which changes in operating conditions steered the production toward and away from n-caprylate, but more work is necessary to ascertain a mechanistic understanding that could be predictive. This study provides pertinent research questions for future work.

Investigation of oil palm fiber reinforced polylactic acid composite extruded filament quality

This study examines the quality of Polylactic Acid (PLA) filament reinforced with Oil Palm Fiber (OPF) for additive manufacturing applications. The research aims to create a composite filament that leverages the advantages of PLA, a biodegradable polymer, and OPF, a natural fiber from the oil palm tree, to enhance mechanical strength, dimensional stability, and printability. The methodology involves crushing the PLA filament and OPF to the desired size using a crusher machine, blending them in different ratios (e.g., 90:10 and 80:20 PLA to OPF), and using a hot-pressing process to bond the components. The resulting pelletized composites are then extruded into filaments using an extruder machine. The quality of the produced filament is assessed based on diameter consistency, surface smoothness, and printability, considering compatibility with 3D printers. The study reveals that composition ratios and processing parameters impact filament quality, leading to challenges such as diameter variations, rapid hardening, breakage, and extruder die clogs. Future recommendations were suggested to optimize compositions, refine processing, explore advanced extrusion, and investigate fiber distribution and bonding for improved filament properties. This research offers valuable insights for creating high-quality OPF-reinforced PLA filaments for additive manufacturing, advancing understanding of filament quality factors, and proposing ways to enhance composite filament performance across applications.

Oil Palm Expansion: Aspects and Gender Roles in Rural Oil Palm Farm Households

Oil Palm Expansion: Aspects and Gender Roles in Rural Oil Palm Farm Households

Effects of different lipid sources on performance, blood lipid parameters, immune system activity, and expression of TNFα and TLR4 genes in broiler chickens

This study aimed to explore the effects of different lipid sources on the performance, blood lipid parameters, immune system activity, and the expression of TNFα and TLR4 genes in broiler chickens. A total of 500 one-day-old male chicks of the ROSS 308 commercial strain were allocated into four treatment groups with five replicates each (each replicate comprised of 25 chickens), following a randomized design. The treatments were as follows: (1) a diet incorporating palm oil (PO, a source of saturated fatty acids); (2) a diet incorporating flaxseed oil (FO, a source of omega-3); (3) a diet incorporating soybean oil (SO, a source of omega-6); and (4) a diet incorporating olive oil (OO, a source of omega-9). According to the findings, the broiler chickens exhibited a significant increase in body weight gain (BWG) throughout the study when their diet consisted of unsaturated oils, as opposed to a diet including PO. Conversely, the feed conversion ratio (FCR) significantly decreased (P<0.01). The treatment with FO resulted in the highest percentage of lymphocytes and antibody titers against Newcastle and Gumboro diseases, showing a significant difference compared to the treatment with PO (P<0.01). Moreover, the relative expression of TNFα and TLR4 genes was the lowest following the FO treatment, indicating a significant decrease compared to the treatment with PO. Overall, the present findings demonstrated that incorporating omega-3 fatty acids into the diet was more effective in enhancing the growth performance, immune system, and health of broiler chickens.

Belajar Sawit: Sebuah Platform Edukasi Digital Masa Depan Khusus untuk Petani Sawit dan Stakeholder Melalui Pendekatan Blanded Learning

In order to achieve high productivity, especially for people-owned oil palm plantations, farmers need to have knowledge and skills through learning or guidance from oil palm experts. The objectives to be achieved from this study include: designing the Belajar Sawit application that makes it easier for farmers and prospective oil palm farmers to get updated information from oil palm experts, analyzing usability engineering and analyzing the responses of farmers and prospective oil palm farmers to the benefits of the Belajar Sawit application. The method used to analyze the technical aspects (usability) consists of field observation (direct observation), questionnaire and thinking aloud. Referring to the functional readiness of the Belajar Palm application, it is necessary to test several aspects, in the form of aspects: learnability, efficiency, memorability, errors, and (satisfaction) which are used to assess Belajar Sawit from user responses through questionnaires. This research has succeeded in designing the Belajar Palm website and application, with the main menu: Independent Learning, Training, Expertise, Counseling and Certification. The Palm Oil Learning Menu on: Certification and Training is the fastest menu found by respondents. Based on the evaluation of the usability of the Palm Oil Learning, Expertise, and Extension menus are the menus that take the longest time. The cause of errors in Expertise and Extension is due to the position of the menu that is difficult to see.

Unlocking the Potential of Palm Kernel Shell and Quarry Dust: A Cost-Driven Approach to Replacing Sand and Gravel in Concrete

This research investigates the potential of palm kernel shells (PKS) and quarry dust (QD) as sustainable and cost-effective replacements for sand and gravel in concrete production. The study explores the impact of varying PKS and QD content on workability, density, water absorption, and mechanical properties. While increasing these alternative aggregates decreases workability and density, it improves water absorption and, in some cases, mechanical strength. Response Surface Methodology (RSM) identified a combination of 5% PKS and 20% QD (-1, -1) as the optimal replacement level for achieving a balance between cost and performance. This mix offers a significant cost reduction of 18.2% relative to concrete made with conventional aggregates. The study highlights the potential of PKS and QD as sustainable alternatives for conventional aggregates. Utilizing these readily available waste materials can reduce reliance on natural resources, promote waste management practices, and contribute to a more environmentally friendly construction industry. Additionally, the research suggests that quarry dust alone might be a more suitable replacement material than PKS due to its superior influence on concrete strength. This research provides valuable insights for optimizing concrete mix design with PKS and QD, promoting cost-effective and sustainable construction practices in regions with abundant palm oil production and quarrying activities.

A sustainable and economical solution for CO2 capture with biobased carbon materials derived from palm kernel shells.

This study investigates the synthesize of activated carbon for carbon dioxide adsorption using palm kernel shell (PKS), a by-product of oil palm industry. The adsorbent synthesis involved a simple two-step carbonization method. Firstly, PKS was activated with potassium oxide (KOH), followed by functionalization with magnesium oxide (MgO). Surface analysis revealed that KOH activated PKS has resulted in a high specific surface area of 1086 m2/g compared to untreated PKS (435 m2/g). However, impregnation of MgO resulted in the reduction of surface area due to blockage of pores by MgO. Thermogravimetric analysis (TGA) demonstrated that PKS-based adsorbents exhibited minimal weight loss of less than 30% up to 500 °C, indicating their suitability for high-temperature applications. CO2 adsorption experiments revealed that PKS-AC-MgO has achieved a higher adsorption capacity of 155.35 mg/g compared to PKS-AC (149.63 mg/g) at 25 °C and 5 bars. The adsorption behaviour of PKS-AC-MgO was well fitted by both the Sips and Langmuir isotherms, suggesting a combination of both heterogeneous and homogeneous adsorption and indicating a chemical reaction between MgO and CO2. Thermodynamic analysis indicated a spontaneous and thermodynamically favourable process for CO2 capture by PKS-AC-MgO, with negative change in enthalpy (- 0.21 kJ/mol), positive change in entropy (2.44 kJ/mol), and negative change in Gibbs free energy (- 729.61 J/mol, - 790.79 J/mol, and - 851.98 J/mol) across tested temperature. Economic assessment revealed that the cost of PKS-AC-MgO is 21% lower than the current market price of commercial activated carbon, indicating its potential for industrial application. Environmental assessment shows a significant reduction in greenhouse gas emissions (381.9 tCO2) through the utilization of PKS-AC-MgO, underscoring its environmental benefits. In summary, the use of activated carbon produced from PKS and functionalised with MgO shows great potential for absorbing CO2. This aligns with the ideas of a circular economy and sustainable development.

Editorial: Biogeochemical and biodiversity impacts of oil palm land-use in Southeast Asia

Editorial: Biogeochemical and biodiversity impacts of oil palm land-use in Southeast Asia

Editorial: Biogeochemical and biodiversity impacts of oil palm land-use in Southeast Asia

Editorial: Biogeochemical and biodiversity impacts of oil palm land-use in Southeast Asia

Traditional to technological advancements in Ganoderma detection methods in oil palm.

Ganoderma sp., the fungal agent causing basal stem rot (BSR), poses a severe threat to global oil palm production. Alarming increases in BSR occurrences within oil palm growing zones are attributed to varying effectiveness in its current management strategies. Asymptomatic progression of the disease and the continuous monoculture of oil palm pose challenges for prompt and effective management. Therefore, the development of precise, early, and timely detection techniques is crucial for successful BSR management. Conventional methods such as visual assessments, culture-based assays, and biochemical and physiological approaches prove time-consuming and lack specificity. Serological-based diagnostic methods, unsuitable for fungal diagnostics due to low sensitivity, assay affinity, cross-contamination which further underscores the need for improved techniques. Molecular PCR-based assays, utilizing universal, genus-specific, and species-specific primers, along with functional primers, can overcome the limitations of conventional and serological methods in fungal diagnostics. Recent advancements, including real-time PCR, biosensors, and isothermal amplification methods, facilitate accurate, specific, and sensitive Ganoderma detection. Comparative whole genomic analysis enables high-resolution discrimination of Ganoderma at the strain level. Additionally, omics tools such as transcriptomics, proteomics, and metabolomics can identify potential biomarkers for early detection of Ganoderma infection. Innovative on-field diagnostic techniques, including remote methods like volatile organic compounds profiling, tomography, hyperspectral and multispectral imaging, terrestrial laser scanning, and Red-Green-Blue cameras, contribute to a comprehensive diagnostic approach. Ultimately, the development of point-of-care, early, and cost-effective diagnostic techniques accessible to farmers is vital for the timely management of BSR in oil palm plantations.