Indonesian Oil Palm Research Institute

Medan, Indonesia

Indonesian Oil Palm Research Institute

Medan, Indonesia
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Santoso H.,Indonesian Oil Palm Research Institute | Santoso H.,Hokkaido University | Tani H.,Hokkaido University | Wang X.,Hokkaido University
International Journal of Remote Sensing | Year: 2017

Ganoderma boninense is a fungus that causes basal stem rot (BSR) disease in oil palm plantations. BSR is a major disease in oil palm plantations in both Indonesia and Malaysia. There is no effective treatment for curing BSR; current treatments only prolong the life of oil palms. One strategy to control BSR is early detection of G. boninense infection. Based on the infection symptoms, many researchers have applied remote-sensing techniques for early detection and mapping of BSR disease in oil palms. The main objectives of this article were to evaluate the potential of machine-learning models for predicting BSR disease in oil palm plantations and to produce maps of the distribution of BSR disease. QuickBird imagery archived on 4 August 2008 was applied in three classifier models: Support Vector Machine, Random Forest (RF), and classification and regression tree models The RF model was best at predicting, classifying, and mapping oil palm BSR in terms of overall accuracy (OA), producer accuracy, user accuracy, and kappa value. Using 75% of the data for training and 25% for testing, the RF classifier model achieved 91% OA. In addition, this model separated the healthy and unhealthy oil palms in the study sites into 37,617 (75%) and 12,320 (25%) individuals, respectively. © 2017 Informa UK Limited, trading as Taylor & Francis Group.

PubMed | Australian National University, Embrapa Amazonia Ocidental, CIRAD - Agricultural Research for Development, Indonesian Oil Palm Research Institute and University Paris - Sud
Type: Journal Article | Journal: Plant, cell & environment | Year: 2016

Oil palm has now become one of the most important crops, palm oil representing nearly 25% of global plant oil consumption. Many studies have thus addressed oil palm ecophysiology and photosynthesis-based models of carbon allocation have been used. However, there is a lack of experimental data on carbon fixation and redistribution within palm trees, and important C-sinks have not been fully characterized yet. Here, we carried out extensive measurement of natural (13) C-abundance ((13) C) in oil palm tissues, including fruits at different maturation stages. We find a (13) C-enrichment in heterotrophic organs compared to mature leaves, with roots being the most (13) C-enriched. The (13) C in fruits decreased during maturation, reflecting the accumulation in (13) C-depleted lipids. We further used observed (13) C values to compute plausible carbon fluxes using a steady-state model of (13) C-distribution including metabolic isotope effects ((12) v/(13) v). The results suggest that fruits represent a major respiratory loss (39% of total tree respiration) and that sink organs such as fruits are fed by sucrose from leaves. That is, glucose appears to be a quantitatively important compound in palm tissues, but computations indicate that it is involved in dynamic starch metabolism rather that C-exchange between organs.

Santoso H.,Indonesian Oil Palm Research Institute | Santoso H.,Hokkaido University | Tani H.,Hokkaido University | Wang X.,Hokkaido University
International Journal of Remote Sensing | Year: 2016

In the past, oil palm density has been determined by manually counting trees every year in oil palm plantations. The measurement of density provides important data related to palm productivity, fertilizer needed, weed control costs in a circle around each tree, labourers needed, and needs for other activities. Manual counting requires many workers and has potential problems related to accuracy. Remote sensing provides a potential approach for counting oil palm trees. The main objective of this study is to build a robust and user-friendly method that will allow oil palm managers to count oil palm trees using a remote sensing technique. The oil palm trees analysed in this study have different ages and densities. QuickBird imagery was applied with the six pansharpening methods and was compared with panchromatic QuickBird imagery. The black and white imagery from a false colour composite of pansharpening imagery was processed in three ways: (1) oil palm tree detection, (2) delineation of the oil palm area using the red band, and (3) counting oil palm trees and accuracy assessment. For oil palm detection, we used several filters that contained a Sobel edge detector; texture analysis co-occurrence; and dilate, erode, high-pass, and opening filters. The results of this study improved upon the accuracy of several previous research studies that had an accuracy of about 90–95%. The results in this study show (1) modified intensity-hue-saturation (IHS) resolution merge is suitable for 16-year-old oil palm trees and have rather high density with 100% accuracy; (2) colour normalized (Brovey) is suitable for 21-year-old oil palm trees and have low density with 99.5% accuracy; (3) subtractive resolution merge is suitable for 15- and 18-year-old oil palm trees and have a rather high density with 99.8% accuracy; (4) PC spectral sharpening with 99.3% accuracy is suitable for 10-year-old oil palm trees and have low density; and (5) for all study object conditions, colour normalized (Brovey) and wavelet resolution merge are two pansharpening methods that are suitable for oil palm tree extraction and counting with 98.9% and 98.4% accuracy, respectively. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Sisunandar,University of Queensland | Sopade P.A.,University of Queensland | Samosir Y.M.S.,University of Queensland | Samosir Y.M.S.,Indonesian Oil Palm Research Institute | And 2 more authors.
Cryobiology | Year: 2010

Cryopreservation of coconut can be used as a strategy to back up the establishment of living collections which are expensive to maintain and are under constant threat from biotic and abiotic factors. Unfortunately, cryopreservation protocols still need to be developed that are capable of producing a sizeable number of field-grown plants. Therefore, we report on the development of an improved cryopreservation protocol which can be used on a wide range of coconut cultivars. The cryopreservation of zygotic embryos and their recovery to soil-growing plants was achieved through the application of four optimised steps. viz.: (i) rapid dehydration; (ii) rapid cooling; (iii) rapid warming and recovery. in vitro and (iv) acclimatisation and soil-supported growth. The thermal properties of water within the embryos were monitored using differential scanning calorimetry (DSC) in order to ensure that the freezable component was kept to a minimum. The feasibility of the protocol was assessed using the Malayan Yellow Dwarf (MYD) cultivar in Australia and then tested on a range of cultivars which were freshly harvested and studied in Indonesia. The most efficient protocol was one based on an 8-h rapid dehydration step followed by rapid cooling step. Best recovery percentages were obtained when a rapid warming step and an optimised. in vitro culture step were used. Following this protocol, 20% (when cryopreserved 12. days after harvesting) and 40% (when cryopreserved at the time of harvest) of all MYD embryos cryopreserved could be returned to normal seedlings growing in soil. DSC showed that this protocol induced a drop in embryo fresh weight to 19% and significantly reduced the amount of water remaining that could produce ice crystals (0.1%). Of the 20 cultivars tested, 16 were found to produce between 10% and 40% normal seedlings while four cultivars generated between 0% and 10% normal seedlings after cryopreservation. This new protocol is applicable to a wide range of coconut cultivars and is useful for the routine cryopreservation of coconut genetic resources. © 2010 Elsevier Inc.

Santoso H.,Indonesian Oil Palm Research Institute | Gunawan T.,Gadjah Mada University | Jatmiko R.H.,Gadjah Mada University | Darmosarkoro W.,Indonesian Oil Palm Research Institute | Minasny B.,University of Sydney
Precision Agriculture | Year: 2011

The application of remote sensing technology and precision agriculture in the oil palm industry is in development. This study investigated the potential of high resolution QuickBird satellite imagery, which has a synoptic overview, for detecting oil palms infected by basal stem rot disease and for mapping the disease. Basal stem rot disease poses a major threat to the oil palm industry, especially in Indonesia. It is caused by Ganoderma boninense and the symptoms can be seen on the leaf and basal stem. At present there is no effective control for this disease and early detection of the infection is essential. A detailed, accurate and rapid method of monitoring the disease is needed urgently. This study used QuickBird imagery to detect the disease and its spatial pattern. Initially, oil palm and non oil palm object segmentation based on the red band was used to map the spatial pattern of the disease. Secondly, six vegetation indices derived from visible and near infrared bands (NIR) were used for to identify palms infected by the disease. Finally, ground truth from field sampling in four fields with different ages of plant and degrees of infection was used to assess the accuracy of the remote sensing approach. The results show that image segmentation effectively delineated areas infected by the disease with a mapping accuracy of 84%. The resulting maps showed two patterns of the disease; a sporadic pattern in fields with older palms and a dendritic pattern in younger palms with medium to low infection. Ground truth data showed that oil palms infected by basal stem rot had a higher reflectance in the visible bands and a lower reflectance in the near infrared band. Different vegetation indices performed differently in each field. The atmospheric resistant vegetation index and green blue normalized difference vegetation index identified the disease with an accuracy of 67% in a field with 21 year old palms and high infection rates. In the field of 10 year old palms with medium rates of infection, the simple ratio (NIR/red) was effective with an accuracy of 62% for identifying the disease. The green blue normalized difference vegetation index was effective in the field of 10 years old palms with low infection rates with an accuracy of 59%. In the field of 15 and 18 years old palms with low infection rates, all the indices showed low levels of accuracy for identifying the disease. This study suggests that high resolution QuickBird imagery offers a quick, detailed and accurate way of estimating the location and extent of basal stem rot disease infections in oil palm plantations. © 2010 Springer Science+Business Media, LLC.

Stichnothe H.,Thunen Institute of Agricultural Technology | Schuchardt F.,Thunen Institute of Agricultural Technology | Rahutomo S.,Indonesian Oil Palm Research Institute
International Journal of Life Cycle Assessment | Year: 2014

Purpose: The aim of this paper is to evaluate assumptions and data used in calculations related to palm oil produced for biodiesel production relative to the European Renewable Energy Directive (EU-RED). The intent of this paper is not to review all assumptions and data, but rather to evaluate whether the methodology is applied in a consistent way and whether current default values address relevant management practices of palm oil production systems. Methods: The GHG calculation method provided in Annex V of the EU-RED was used to calculate the GHG-emissions from palm oil production systems. Moreover, the internal nitrogen recycling on the plantation was calculated based on monitoring data in North Sumatra. Results and discussion: A calculation methodology is detailed in Annex V of the EU-RED. Some important aspects necessary to calculate the GHG emission savings correctly are insufficiently considered, e.g.: • "Nitrogen recycling" within the plantation due to fronds remaining on the plantation is ignored. The associated organic N-input to the plantation and the resulting nitrous oxide emissions is not considered within the calculations, despite crop residues being taken into account for annual crops in the BIOGRACE tool. • The calculation of GHG-emissions from residue and waste water treatment is inappropriately implemented despite being a hot-spot for GHG emissions within the life cycle of palm oil and palm oil biodiesel. Additionally, no distinction is made between palm oil and palm kernel oil even though palm kernel oil is rarely used for biodiesel production. • The allocation procedure does not address the most relevant oil mill management practices. Palm oil mills produce crude palm oil (CPO) in addition either nuts or palm kernels and nut shells. In the first case, the nuts would be treated as co-products and upstream emissions would be allocated based on the energy content; in the second case the kernels would be treated as co-products while the shelöls are considered as waste without upstream emissions. This has a significant impact on the resulst or GHG savings, respectively. • It is not specified whether indirect GHG emissions from nitrogen oxide emission from the heat and power unit of palm oil mills should be taken into account. Conclusions and recommendations: In conclusion, the existing calculation methodology described in Annex V of the EU-RED and default values are insufficient for calculating the real GHG emission savings from palm oil and palm oil biodiesel. The current default values do not reflect relevant management practices. Additionally, they protect poor management practices, such as the disposal of empty fruit bunches (EFB), and lead to an overestimation of GHG savings from palm oil biodiesel. A default value for EFB disposal must be introduced because resulting GHG emissions are substantial. Organic nitrogen from fronds must be taken into account when calculating real GHG savings from palm oil biodiesel. Further, more conservative data for FFB yield and fugitive emissions from wastewater treatment should be introduced in order to foster environmental friendly management options. Moreover, credits for bioenergy production from crop residues should be allowed in order to foster the mobilization of currently unused biomass. © 2014 Springer-Verlag.

Sinaga A.G.S.,Indonesian Oil Palm Research Institute | Siahaan D.,Indonesian Oil Palm Research Institute
International Journal of ChemTech Research | Year: 2015

Palm oil has many minor components that can act as natural antioxidant. It containing carotenoid and vitamin E. This research was conducted to determine antioxidant activity ofnon polar extract from crude palm oil and fatty acid methyl ester. The oil extract obtained from crude palm oil by solvent extraction with hexane (CPO) and transesterification method followed solvent extraction with hexane (PME). Carotene content from non-polar extracts were analyzed by using UV-visible spectrophotometer, while carotene composition (α- and β-carotene) and vitamin E (tocopherol and tocotrienol) compositions were analyzed by using high performance liquid chromatography. Glycerides and esters content was analyzed by gas chromatography. Antioxidant activity of oil extract was determined by using 2,2′-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay method. Result revealed that PME has higher content carotenoid and vitamin E than CPO. As expected, the concentration of carotenoid and vitamin E in PME increased with transesterification process. Results also showed that all of non-polar extracts exhibited antioxidant activity significantly, as proven by inhibitory concentration 50% (IC50) of PME and CPO is 5.9 μg/ml and 15.6 μg/ml. It is suggested that the presence of carotenoid and vitamin E may have a potential effect as natural antioxidant. © 2015, Sphinx Knowledge House. All rights reserved.

Sisunandar,University of Queensland | Sisunandar,Muhammadiyah University of Purwokerto | Rival A.,CIRAD - Agricultural Research for Development | Turquay P.,CIRAD - Agricultural Research for Development | And 3 more authors.
Planta | Year: 2010

The present study aimed at exploring the fidelity of coconut (Cocos nucifera L.) plants recovered from cryopreservation. Zygotic embryos from various different cultivars were cryopreserved following four successive steps, namely: rapid dehydration, rapid freezing, rapid thawing and in vitro recovery followed by acclimatization. At the end of the acclimatization period, the seedlings were compared to counterparts of the same age, which were produced from non-cryopreserved embryos. Both series were submitted to morphological, cytological and molecular comparisons. No significant differences in terms of growth rates could be measured. In addition, no morphological variation could be detected through the measurement of shoot elongation rates, production of opened leaves, and the number and total length of primary roots. Karyotype analysis revealed the same chromosome number (2n = 32) in all studied cultivars independently of cryopreservation. No significant differences could be observed between control and cryopreserved material concerning the type of chromosomes, the length of the long and short arms, the arm length ratio and the centromeric index. However, idiogram analysis did show a greater number of black banding on chromosomes isolated from cryopreserved material. Genetic and epigenetic fidelity was assessed through microsatellite (SSR) analysis and global DNA methylation rates; no significant differences would be observed between genomic DNAs isolated from seedlings originating from cryopreserved embryos and respective controls. In conclusion, our results suggest that the method of cryopreservation under study did not induce gross morphological, genetic or epigenetic changes, thus suggesting that it is an appropriate method to efficiently preserve coconut germplasm. © 2010 Springer-Verlag.

Nasution M.A.,Indonesian Oil Palm Research Institute | Herawan T.,Indonesian Oil Palm Research Institute | Rivani M.,Indonesian Oil Palm Research Institute
Energy Procedia | Year: 2014

Empty fruit bunch, shell, and fiber are palm biomass waste that can be converted to energy by cogeneration system. On the other hand, electricity shortages severely hampered the development of North Sumatera. Therefore, the objective of this paper is to present a potential analysis of palm biomass waste in generating electricity by palm oil mills in North Sumatera. Some palm oil mills in North Sumatera were analyzed in electric potential by using collected data, questionnaires and interviews. The results show that a POM with 30 tones FFB/hour generates at least 20 MW (20 MW to 35 MW). © 2014 The Authors. Published by Elsevier Ltd.

Harsono S.S.,University of Jember | Grundmann P.,Leibniz Institute for Agricultural Engineering | Siahaan D.,Indonesian Oil Palm Research Institute
Energy Procedia | Year: 2015

Greenhouse gas (GHG) emissions which related to palm oil production are tend to increase due to the increasing of palm oil demand and the expansion process of oil palm production worldwide. The specific objective of the study was to assess the contribution of innovative biomass processes as effort to improve the energy balance and reduce the greenhouse gas emissions (GHG) associated with biodiesel made from palm oil. The GHG was calculated that GHG emission savings up to 63.14% in total. GHG emissions from biochar using empty fruit bunches (EFB) resulted to 2.95% from total GHG emissions, and biogas from palm oil mill effluent (POME) produced 74.22% of the total GHG emissions from palm oil based biodiesel production. Innovative technologies and processes for the treatment of by-products can contribute significantly for meeting the emission targets. Build upon the research, resulted to the recommendation to use biochar and capturing methane from POME. The research result was also concerned that emission savings are annulled in the case of land use change (LUC) and oil palm production on peatland. Based on this research resulted to recommended that the utilization of waste from oil palm cultivation on peatland which was disuse and the capturing of methane from POME © 2015 The Authors.

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