Pelita Perkebunan (Coffee and Cocoa Research Journal, CCRJ)
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402 research outputs found
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Potential of siam weed extract in combination with Trichoderma harzianum to stimulate seed germination of Coffea arabica
Full text linkThe Arabica coffee (Coffea arabica) beans feature a solid and thick seed shape that obstructs the germination process. Seed germination is an important feature of coffee plant cultivation and significantly impacts on the growth and development of the coffee plant. Siam weed (Chromolaena odorata L.) has the potential to be used as an organic fertilizer due to its nutrients and secondary metabolite compounds which can help accelerate plant growth. The optimal use of organic fertilizer can be achieved by using Trichoderma harzianum. This research aims to determine the effect and optimal concentration of Siam weed extract (Chromolaena odorata L.) and Trichoderma harzianum on the germination of Arabica coffee seeds. The research used a factorial Completely Randomized Design (CRD) in the form of siam weed extract concentrations of 8 ppm and 16 ppm and concentrations of Trichoderma harzianum of 5 ppm, 10 ppm, 15 ppm, and 20 ppm. The research finding indicated that the C2T1 treatment had the best results in terms of germination, growth speed, growth synchrony, hypocotyl length, and number of leaves on coffee plants. Meanwhile, the C2T4 treatment had the highest chlorophyll content
Insect community structure in young and productive coffee farms under leucaena shade of Jember Regency, East Java, Indonesia
Full text linkThe developmental phase of Robusta coffee plantations with agroforestry systems exhibits varying ecosystem characteristics (biotic and abiotic), therebyinfluencing the dynamics of insect community composition within them. One of the major coffee-producing centers in East Java is Jember Regency, where coffeecultivation commonly employs agroforestry systems with various shade trees. Understanding the abundance of insect species in agroforestry coffee plantations is important for determining insect pest control measures. This research aims to study the insect community structure in young coffee and productive coffee farms. Insect sampling was conducted in young coffee farms and productive coffee farms at the Kaliwining Experimental Station, Indonesian Coffee and Cocoa Research Institute (ICCRI), by using road sampling methods with insect nets and pitfall traps. Both types of plantations utilize Leucaena sp. var L2 as shade trees, forming agroforestry coffee plantation systems. Data analysis was performed by calculating the Shannon-Wiener diversity index (H’) to assess insectdiversity and the independent sample t-test to determine differences in insect abundance based on functional roles between the two farms. The results indicatethat the composition and abundance of insects in productive coffee farms are higher than in young coffee farms, resulting in a higher insect diversity index valuefor productive coffee farms (categorized as high), while young coffee farms fall into the moderate category. Furthermore, based on their functional roles, productive coffee farms positively influence the abundance of herbivorous, predatory, parasitoid, and detritivorous insects
Cocoa Farmers and Agrochemical Safety Compliance: Empirical Insights from Ghana
Full text linkThis study addresses the lack of empirical insights into the adherence of cocoa farmers to safety protocols. Specifically focused on agrochemical safety compliance, the research employs a quantitative approach and collects data from 385 cocoa farmers in the Nzema East Municipal through a structured questionnaire. The analysis utilizes mean, standard deviation, frequency, percentages, and Tobit regression models. The study finds that cocoa farmers exhibit a high level of knowledge and preparedness in agrochemical handling practices, positive agrochemical usage practices, and proper agrochemical storage practices. Cocoa farmers employ integrated pest management strategies, using diverse fertilizers, insecticides, fungicides, and herbicides to address crop health and productivity challenges. Tobit regression results showed that the extent of use of agrochemicals was significantly influenced by marital status, household size, farming experience, cooperative membership, and access to spraying machines and personal protective equipment. The research highlights the importance of integrating safety considerations into agricultural policies and practices, emphasizing the role of knowledge and awareness in influencing farmers' practices. It suggests the need for targeted interventions and educational programs to enhance agrochemical safety compliance among cocoa farmers
A comprehensive study on the livelihood implications of transitioning from cocoa to rubber plantation in Ghana
Full text linkThe study, conducted in Manso Amenfi, Western Region, Ghana, explored the livelihood implications of transitioning from cocoa to rubber plantations. Using a cross-sectional survey with 384 participants, data revealed a decline in cocoa production levels. The socioeconomic factors that influence farmers’ land use shift behaviour were age, household size, being a household head, farm size, educational level, access extension and labour availability. The knowledge factor that was ranked first as influencing farmers shift behaviour was high price of rubber while the behavioural factor was the farmers’ personal belief that rubber plantation will do well than cocoa. The farmers agreed that rubber plantation has effect on their livelihood. The study recommends interventions to make cocoa cultivation more profitable, addressing concerns like low prices, pests, diseases, and soil fertility, emphasizing the need for support from agricultural extension officers, the Ghana Cocoa Board, and the government
Efficacy of Glufosinate Ammonium Herbicide on Weed Control, Impact on Soil Chemical Properties and Heavy Metal Accumulation in Cocoa Plantations.
Full text linkProlonged use of commonly used herbicides by cocoa farmers such as paraquat and glyphosate have been observed to have residual effects on the environment. Therefore there is a need to screen herbicides such as Glufosinate ammonium-based herbicides for use by cocoa farmers. The experiment was set up at the cocoa experimental plot of the Cocoa Research Institute of Nigeria Headquarters in Ibadan. The 3 treatments which were arranged in a Randomized Complete Block Design are slashing, 100 mls and 200 mls of Glufosinate ammonium per 16L of water (100 mls/16L and 200 mls/16L). Each experimental unit was 6 m × 6 m comprising nine cocoa stands. The treatments were replicated 3 times. Data on the soil's initial physico-chemical properties and after 3 months of each treatment were recorded. Mineral and heavy metal analysis of the leaves and pods before spraying and 3 months after spraying were recorded. The % weed control of the treatments was also observed. Treatment means were separated using the Least Significant Difference (LSD) at a 0.05% probability level. Results showed that Glufosinate ammonium applied at both rates did not load the soil, cocoa leaves and cocoa beans with heavy metals. 200 mls/16L had 85.00% weed control followed by 100 mls/16L (62.70%) and slashing (51.00%) which both had the same statistical result. Glufosinate ammonium at 100 mls/16L can replace slashing to eliminate drudgery while Glufosinate ammonium at 200 mls/16L can be used for more effective weed control without negative effects on the environment and the crop
Incentives-adoption-food security: Implications for sustainable cocoa production in Ghana.
Full text linkThis study investigates the adoption of the Cocoa Rehabilitation Programme (CRP), aiming to understand the factors influencing farmers' participation and assess the impact on food security. The research gathered quantitative data from 385 cocoa farmers in the Osino Cocoa District, Eastern region, Ghana. Mean, frequency, Tobit and ordered logit regression models were used to analyse the data. Results reveal that incentives like farm maintenance without a charge, extension access, monetary rewards regular farm monitoring and free tree-cutting strongly promote CRP adoption. Gender, age, education, and various incentives significantly influence adoption levels. The study revealed that practices like weedicide-free farming, zero burning, and efficient shade management play a substantial role in improving the food security of farmers. The paper contributes to existing literature by offering a comprehensive analysis of both monetary and non-monetary incentives, adoption patterns, and outcomes, particularly regarding food security in the context of cocoa production. The study suggests a multifaceted approach to enhance CRP efficacy and address the complex dynamics of sustainable agricultural initiatives
Effectiveness of antioxidants on in vitro regeneration of Musa paradisiaca var. raja to prevent browning and enhance embryo development
Full text linkThe cultivation of raja banana is widespread in Indonesia. The process of increasing banana propagation through in vitro culture encounters a specific issue, namely the occurrence of browning during the initiation stage, which hinders the regeneration process. The objective of this study is to determine the effectivenessof antioxidants on the in vitro regeneration of raja banana to prevent browning and enhance embryo development. The study was conducted using a completely randomized design with the treatment of the antioxidant compounds ascorbic acid (AS) and melatonin (MN). The treatments consisted of control (without antioxidants), ascorbic acid (100 mg L-1, 150 mg L-1, and 200 mg L-1) and melatonin (10 mg L-1, 12 mg L-1, and 14 mg L-1). The results showed that ascorbic acid and melatonin treatment had no significant effect on the percentage of viable explants and the level of browning intensity, but provided significant results on the regeneration process. The application of melatonin at 14 mg L-1 significantly increased callus regeneration. Furthermore, at a concentration of 12 mg L-1 showed the highest callus percentage value compared to other treatments. The melatonin 12 mg L-1 treatment showed the earliest scutellar embryo formation, whereas ascorbic acid at a concentration of 100 mg L-1 resulted in the most optimal regeneration of globular and scutellar embryos. The highest concentrations of ascorbic acid and melatonin inhibit the formation of coleoptilar embryo
Performance of cotton fabric treated with chitosan-based mordanty as affected by extraction time variations on tannin dyes produced from cocoa husk
Full text linkNatural dyes are substances obtained from animals or plants through extraction. The application of synthetic dyes can affect to environmental problems, therefore replace it with natural dyes is become an alternative. Cocoa pod husk still considered as a waste, whereas it is one of source for natural dyes. Cacao pod husk contains flavonoids, tannins, and β-carotene compounds which is generate colour. Natural dye is extracted from the husk of the cocoa pod and applied to cotton cloth. Extraction of cocoa husk dyes was carried out with distilled water at 60˚C with variations of 1, 2, and 3 hours. The resulting extract contains positive tannins but negative β-carotene. Variations in the extraction time of natural dyes affect the tannin content extracted. The tannin content extracted with variations of 1, 2, and 3 hours was 18.32; 18.67; and 17.93 ppm. Respectively chitosan-based mordant has a significant effect on the color yield of the fabric. Fabrics with mordant have a darker color than fabrics that are not applied with mordant process. The use of nanochitosan and citric acid crosslinkers can maintain the aging color of the fabric. The FTIR results on the fabric showed that color aging occurred due to the presence of ester groups formed between chitosan and dyes. Chitosan-based mordant coating provides better color than without mordant coating. Fabrics coated with chitosan had the best fastness value of 4 (Good)
Acidification of Cocoa Nibs using Malic Acid to Modify the Color While Preserving the Bioactive Compounds.
Full text linkThe occurrence of non-fermented cocoa beans in the Indonesian market is still a huge challenge that needs to be solved. Unfermented cocoa beans are considered low-quality cocoa due to their low chocolate flavor and taste, and high bitterness and astringency levels. This limits its usability in the industries. An effort to utilize unfermented cocoa beans can be made through an alternative processing method utilizing an acidification process. Malic acid was used for acidification at various concentrations (0.01, 1, 2.5, and 5%). This acid solution was used to incubate the cocoa nibs for 1,3 and 5 hours. Physicochemical characteristics such as color changes, anthocyanin content, total phenolic content, and antioxidant activity of acidified cocoa nibs were analyzed. Fourier transform infrared spectroscopy analysis was also utilized to evaluate the changes in the functional groups. The results showed that the acidification of cocoa nibs using >1% malic acid significantly altered the color of cocoa nibs from brownish-purple to reddish color. Anthocyanin and phenolic content of cocoa nibs could be preserved to more than 61 and 65%, resulting in preserved antioxidant activity (>66%). The use of 2.5% malic acid followed by incubation for 3 hours resulted in cocoa nibs with bright red color and highly-preserved bioactive compounds
Color-based Classification of Dried Cocoa Beans from Various Origins of Indonesia by Image Analysis Using AlexNet and ResNet Architecture-Convolutional Neural Networks
Full text linkCocoa plant is widely cultivated in Indonesia and spread across various regions. Diversity in geographical conditions has been known to significantly affect the quality of cocoa beans. Practically, cocoa beans are often mixed without considering the variation in the quality and its origin. This resulted in reduced global quality and product inconsistency. Improved recognition and classification methods are needed to solve those problems. Non-destructive classification methods can be used to provide a more efficient classification process. The use of artificial intelligence with computer-based deep learning methods was used in this study. Beans samples of various origins (Aceh, Bali, Banten, Yogyakarta, East Kalimantan, West Sulawesi, and West Sumatera) were evaluated. From thecollected samples, 9100 images were then taken for data processing. Data preprocessing included denoising of the background image, cropping, resizing andchanging the storage extension through the training-validation stage and the testing process. AlexNet and ResNet architectures on a Convolutional NeuralNetwork were used for classification. The results showed that the average accuracy of cocoa image classification based on color identification by computer machines using Alexnet and ResNet was high (99.91% and 99.99%, respectively). This method can be applied to provide more efficient color-based cocoa bean classification for industrial purposes.