26 research outputs found

    Identification of edible short- and long-horned grasshoppers and their host plants in East Africa

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    This study adopted morphological and molecular analysis to identify edible grasshoppers and their associated food host plants in Kenya and Uganda. Host plants were identified through molecular analysis of the gut contents of the grasshoppers. Grasshoppers are among the most popular edible insects in East Africa. As an alternative protein, they contribute to improved nutrition and food security, livelihoods, and employment. The study provides a detailed breakdown of morphometric data and species identification factors along with sequencing, identification and phylogenetic analysis of plant and insect DNA.Federal Ministry for Economic Cooperation and Development (BMZ)Netherlands Organization for Scientific ResearchWOTRO Science for Global Development (NWO-WOTRO)Bioresources Innovations Network for Eastern Africa Development (BioInnovate Africa)Rockefeller FoundationAustralian Centre for International Agricultural Research (ACIAR

    A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food—A decision support system

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    Crickets (Gryllus bimaculatus) produce sounds as a natural means to communicate and convey various behaviors and activities, including mating, feeding, aggression, distress, and more. These vocalizations are intricately linked to prevailing environmental conditions such as temperature and humidity. By accurately monitoring, identifying, and appropriately addressing these behaviors and activities, the farming and production of crickets can be enhanced. This research implemented a decision support system that leverages machine learning (ML) algorithms to decode and classify cricket songs, along with their associated key weather variables (temperature and humidity). Videos capturing cricket behavior and weather variables were recorded. From these videos, sound signals were extracted and classified such as calling, aggression, and courtship. Numerical and image features were extracted from the sound signals and combined with the weather variables. The extracted numerical features, i.e., Mel-Frequency Cepstral Coefficients (MFCC), Linear Frequency Cepstral Coefficients, and chroma, were used to train shallow (support vector machine, k-nearest neighbors, and random forest (RF)) ML algorithms. While image features, i.e., spectrograms, were used to train different state-of-the-art deep ML models, i,e., convolutional neural network architectures (ResNet152V2, VGG16, and EfficientNetB4). In the deep ML category, ResNet152V2 had the best accuracy of 99.42%. The RF algorithm had the best accuracy of 95.63% in the shallow ML category when trained with a combination of MFCC+chroma and after feature selection. In descending order of importance, the top 6 ranked features in the RF algorithm were, namely humidity, temperature, C#, mfcc11, mfcc10, and D. From the selected features, it is notable that temperature and humidity are necessary for growth and metabolic activities in insects. Moreover, the songs produced by certain cricket species naturally align to musical tones such as C# and D as ranked by the algorithm. Using this knowledge, a decision support system was built to guide farmers about the optimal temperature and humidity ranges and interpret the songs (calling, aggression, and courtship) in relation to weather variables. With this information, farmers can put in place suitable measures such as temperature regulation, humidity control, addressing aggressors, and other relevant interventions to minimize or eliminate losses and enhance cricket production

    Recent advances toward the sustainable management of invasive Xylosandrus ambrosia beetles

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    We provide an overview of both traditional and innovative control tools for management of three Xylosandrus ambrosia beetles (Coleoptera: Curculionidae: Scolytinae), invasive species with a history of damage in forests, nurseries, orchards and urban areas. Xylosandrus compactus, X. crassiusculus and X. germanus are native to Asia, and currently established in several countries around the globe. Adult females bore galleries into the plant xylem inoculating mutualistic ambrosia fungi that serve as food source for the developing progeny. Tunneling activity results in chewed wood extrusion from entry holes, sap outflow, foliage wilting followed by canopy dieback, and branch and trunk necrosis. Maintaining plant health by reducing physiological stress is the first recommendation for long-term control. Baited traps, ethanol-treated bolts, trap logs and trap trees of selected species can be used to monitor Xylosandrus species. Conventional pest control methods are mostly ineffective against Xylosandrus beetles because of the pests’ broad host range and rapid spread. Due to challenges with conventional control, more innovative control approaches are being tested, such as the optimization of the push–pull strategy based on specific attractant and repellent combinations, or the use of insecticide-treated netting. Biological control based on the release of entomopathogenic and mycoparasitic fungi, as well as the use of antagonistic bacteria, has yielded promising results. However, these technologies still require validation in real field conditions. Overall, we suggest that management efforts should primarily focus on reducing plant stress and potentially be combined with a multi-faceted approach for controlling Xylosandrus damage

    Population dynamics of Xylosandrus compactus (Coleoptera: Curculionidae: Scolytinae) on Coffea canephora in the Lake Victoria Crescent agroecological zone of Uganda

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    We studied the seasonal population dynamics of Xylosandrus compactus on Coffea canephora for 24 months from June 2013 to May 2015 at the National Coffee Research Institute, Mukono, Uganda. Every month, we randomly sampled 20 infested twigs from different coffee trees on each of three experimental blocks, and dissected them to count different stages of X. compactus per twig. We recorded monthly mean temperature and total rainfall. Seasonal fluctuations in numbers of different life stages of X. compactus inside C. canephora twigs over time were analysed with a general linear model. Ambient temperature and rainfall were used to predict changes in monthly mean counts by means of a multiple linear regression. The population of X. compactus varied significantly across months and its major peak occurred from May to August. This variability was poorly explained by prevailing weather conditions with only the number of dead females correlated negatively with mean monthly temperature. Therefore, it may be suitable to apply management interventions against X. compactus on C. canephora in Uganda prior to May–August of each year to prevent the pest from attaining damaging levels. Further research is necessary to better understand the effect of weather variables on population dynamics of this insect pest.Keywords: black coffee twig borer, rainfall, Robusta coffee, seasonalit

    Variability in nutrient composition of the edible long‐horned grasshopper (Ruspolia differens) in Uganda and its potential in alleviating food insecurity

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    Abstract Ruspolia differens Serville (Orthoptera: Tettigonidae) is a highly nutritious and luxurious insect delicacy that is consumed as a food source in many African countries. However, the nutrient profile of R. differens in different geographical regions have received limited research interest. Here, we provide comprehensive evidence of geographical impact on the nutrient profile of R. differens and its potential to meet the recommended dietary intake of the population. Our results demonstrated that proximate composition, fatty acids, amino acids, minerals, vitamins, and flavonoid contents of R. differens collected from five districts in Uganda varied considerably. The crude protein (28–45%), crude fat (41–54%), and energy (582–644 Kj/100 g) contents of R. differens exceed that reported from animal origins. The highest crude protein, crude fat, and carbohydrate contents of R. differens were recorded in Kabale, Masaka, and Kampala, respectively. A total of 37 fatty acids were identified with linoleic acid (omega‐6 fatty acid) being the most abundant polyunsaturated fatty acid in R. differens from Kabale, Masaka, and Mbarara. All essential amino acids were recorded in R. differens, particularly histidine with values exceeding the daily requirement for adults. Mineral and vitamin content differed significantly across the five districts. The highest quantity of flavonoids was recorded in R. differens from Hoima (484 mg/100 g). Our findings revealed that R. differens could be considered as functional food ingredients capable of supplying essential macro‐ and micronutrients that are critical in curbing the rising food insecurity and malnutrition in the regions

    Effect of cooking methods on nutritional value and microbial safety of edible rhinoceros beetle grubs (Oryctes sp.)

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    Although edible rhinoceros beetle (Oryctes sp.) larvae are popularly consumed in many countries worldwide, they are prepared using different methods such as boiling, roasting, toasting, and deep-frying, whose effect on nutritional value and microbial safety is scarcely known. Here we investigated the effect of these methods on the nutritional value and microbial safety of Oryctes sp. larvae. Our hypothesis was that cooking the grubs using the four methods had no effect on their nutritional content and microbial loads and diversity. The grubs were analyzed for proximate composition, and fatty and amino acid profiles using standard chemical procedures; and microbial safety using standard culturing procedures. Deep-frying reduced protein and carbohydrate content, but elevated fat content. Boiling lowered ash content, but increased fibre and carbohydrate composition. Roasting and toasting increased protein and ash contents, respectively. Forty fatty acids were detected in the larvae, of which levels of only five were not significantly affected by cooking method, while the levels of the others were differentially affected by the different cooking methods. Amino acid profiles and levels were largely comparable across treatments, but lysine and arginine were higher in all cooked grubs than raw form. All the cooking methods eliminated Enterobacteriaceae, Shigella sp. and Campylobacter sp. from the grubs. Except boiling, all methods reduced total viable count to safe levels. Salmonella sp. were only eliminated by toasting and roasting; while boiling promoted growth of yeast and moulds. Staphylococcus aureus levels exceeded safety limits in all the cooking methods. These findings offer guidance on the type of method to use in preparing the grubs for desired nutritional and safety outcomes

    Socio-cultural practices on the use of beetle grubs as food and feed in western Kenya

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    Abstract We examined the socio-cultural practices on the use of beetle grubs as food and feed in western Kenya by interviewing 211 randomly selected households and conducting seven focus group discussions in Bungoma, Kakamega, Busia, and Trans Nzoia counties. The grubs were used as food and feed in ~ 39% and 78% of the households, respectively. The perceived benefits of the grubs for human consumption were nutritiousness and no linkage to allergies. The grubs were perceived to enhance animal weight gain and increase poultry egg laying. They were also perceived to recycle nutrients from organic waste, and clean the environment. Toasting and roasting were the dominant methods of preparing the grubs. Lack of knowledge on the grub nutritional benefits and stigma were key deterrents to their consumption. About 66% of the respondents expressed willingness to farm the grubs if the market and rearing protocols are available. Almost 98% of the respondents lacked knowledge of the beetle biology, indicating limited capacity to conserve them. The practices on the use of beetle grubs as food and feed differed across counties and by gender, age, marital status and education level. Strategies for sustainable use of the grubs as food and feed have been proposed and new research directions highlighted

    Global Advances on Insect Pest Management Research in Oil Palm

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    Here, we review the advances in research on management of key oil palm insect pests globally, including defoliators, leaf/fruit scrapers, borers and sap feeders. The common oil palm pest management methods include synthetic insecticides, biopesticides, semiochemical lures, cultural practices, and integrated approaches. However, effectiveness, affordability, availability and impact of these methods on human and environmental health vary considerably based on the target insect and geographical location. The use of quarantine regulations to prevent the spread of invasive pests has also been applied with remarkable results. There are notable research advances in semiochemicals, bioacoustic detectors, nanotechnology, insect growth regulators, and entomophagy for better management of oil palm pests. We suggest the following research areas for improving effectiveness of oil palm pest management interventions: (i) exploration of semiochemical attractants for the majority of pests with no previous semiochemical work, and their integration in attract-and-kill devices laced with pathogenic microbes; (ii) expanding the application of digital sensing, predictive modeling and nano-technology in pest control strategies; (iii) developing effective technologies for mass trapping of edible insect pests for food or feed, especially among communities with a tradition of entomophagy; and (iv) strengthening regulatory frameworks for the management of quarantine oil palm insect pests

    Recent advances toward the sustainable management of invasive Xylosandrus ambrosia beetles

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    We provide an overview of both traditional and innovative control tools for management of three Xylosandrus ambrosia beetles (Coleoptera: Curculionidae: Scolytinae), invasive species with a history of damage in forests, nurseries, orchards and urban areas. Xylosandrus compactus, X. crassiusculus and X. germanus are native to Asia, and currently established in several countries around the globe. Adult females bore galleries into the plant xylem inoculating mutualistic ambrosia fungi that serve as food source for the developing progeny. Tunneling activity results in chewed wood extrusion from entry holes, sap outflow, foliage wilting followed by canopy dieback, and branch and trunk necrosis. Maintaining plant health by reducing physiological stress is the first recommendation for long-term control. Baited traps, ethanol-treated bolts, trap logs and trap trees of selected species can be used to monitor Xylosandrus species. Conventional pest control methods are mostly ineffective against Xylosandrus beetles because of the pests’ broad host range and rapid spread. Due to challenges with conventional control, more innovative control approaches are being tested, such as the optimization of the push–pull strategy based on specific attractant and repellent combinations, or the use of insecticide-treated netting. Biological control based on the release of entomopathogenic and mycoparasitic fungi, as well as the use of antagonistic bacteria, has yielded promising results. However, these technologies still require validation in real field conditions. Overall, we suggest that management efforts should primarily focus on reducing plant stress and potentially be combined with a multi-faceted approach for controlling Xylosandrus damage.This research was supported by the University of Catania (Project Emergent Pests and Pathogens and Relative Sustainable Strategies - 5A722192113; PhD fellowship to AG). P.H.W.B. was supported by the German Research Foundation (DFG Emmy Noether Grant BI 1956/1–1). Funding to MGW: USDA-NIFA, ARS and APHIS; ISDA Hatch; Hawaii Dept. of Agriculture. JH and YL were funded by the USDA APHIS and USDA Forest Service. HK was partially supported by Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research, KAKENHI, Nos. 18KK0180, 19H02994 and 20H03026). KH was partially supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes, Brazil; Finance code 001). Open access funding provided by Università degli Studi di Catania within the CRUI-CARE Agreement
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