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Dec 2025 DOI 10.14302/issn.2690-6759.jpar-25-5576
Markus Bukar BiallahCorresponding author
Background Tick infestations severely impair cattle health and productivity in Nigeria through blood loss, hide damage, and transmission of tick-borne pathogens. Objective This study assessed key risk factors influencing tick infestation and evaluated control methods among Fulani pastoral herds in Plateau State. Methods A cross-sectional survey involving 250 cattle from ten herds was conducted across five Local Government Areas. Tick burden was analyzed against acaricide application methods (pour-on vs. hand-spray), hand-picking frequency, and herd mobility (sedentary vs. migratory). Data were collected via owner interviews and manual tick counts. Statistical analyses were performed using generalized linear models in R software. Results Cattle treated with pour-on acaricides had significantly lower tick burdens compared to those treated via hand-spray (P<0.05). Herds that practiced hand-picking five times weekly had fewer ticks than those hand-picking thrice weekly (P<0.01). Migratory herds recorded significantly lower infestations than sedentary herds (P<0.05). Conclusion Effective tick control requires the integration of optimized acaricide application, frequent manual removaland consideration of herd mobility patterns. Education, capacity building, and policy support are necessary to enhance adoption of effective tick control measures among pastoralists.
Mar 2022 DOI 10.14302/issn.2690-4837.ijip-22-4080
O AmaewhuleCorresponding author
Department of Paediatrics, University of Port Harcourt Teaching Hospital. Nigeria.
Myiasis is a parasitic infestation of the body of a mammal caused by Cordylobia Anthropophaga (Tumbu fly) larvae. The infestation is prevalent in Sub-Saharan Africa, South-East Mexico and Central America. It is usually seen among rural dwellers and has no age or sex predilection. We report a case of Tumbu fly myiasis seen in a 7month-old male living in Port Harcourt, Nigeria who was erroneously thought to have bullous impetigo.
Jun 2018
Mwai JCorresponding author
Kenya Medical Research Institute.
Background: Tungiasis is a parasitic tropical disease caused by female Tungapenetranswhich has remained an important public health problem and it affects resource-poor communities causing different health disabilities hence the need for behavior change. Main objective of the study was to determine factors influencing prevention and control of tungiasis infestation among school age children in Ugenya Sub County, Kenya. Methods: A descriptive cross sectional design and utilizing quantitative data collection method. Simple random sampling technique was applied to select the participants. Quantitative data was collected through a pretested structured questionnaire. The data was keyed-into excel and analyzed using SPSS version 23. Results: Study findings indicate that majority of the pupils infested with tungiasis were in classes 5 – 6 at 191(49%). Male participants were 200 (51%), while 185(49%) were female. Gender of pupils (χ2=4.383a, df=1, P<0.005) and household head occupation (χ2=44.729, df = 28, P<0.005) had a statistical significance with tungiasis infestation. Further significance was noted between participants who had ever heard of jiggers (χ2=6.361, df=1, P<0.005), Knowledge on important causes of jiggers (χ2=36.482, df = 9, P<0.005), mode of disease transmission (χ2=17.215, df = 5, P<0.005), signs and symptoms (χ2=4.088, df = 1, P<0.005), seriousness of jiggers in the area (χ2=13.175, df = 1, P<0.005) as well as pupil’s wearing of shoes (χ2=3.934, df = 1, P<0.005) and tungiasis infestation. Conclusions: Study concludes that tungiasis is still a big problem in rural settings and knowledge on tungiasis infestation does not translate to prevention and control in the areas. More emphasis should be given to improving practices touching on personal hygiene and health education to increase awareness both at school and in the households.
Dec 2025 DOI 10.14302/issn.2768-5209.ijen-25-5602
Lassaad MdellelCorresponding author
Chemical insecticides have been the primary method used by farmers to control pests. However, their negative environmental impacts, harmful effects on beneficial insects and human health, and prohibition in organic farming systems have driven the search for natural alternatives with insecticidal properties. These alternatives provide a safer and more sustainable way to control insect pests. Medicinal plants and their constituents play an important role in pest management. For example, ginger (Zingiber officinale) extracts contain bioactive compounds with insecticidal activities. The objective of this work was to track the population of the green peach aphid (Myzuspersicae) on pepper crops in a greenhouse, identify the active ingredients in ginger extracts, and evaluate the insecticidal effects of three concentrations of ginger-derived aqueous and essential oil extracts against M. persicae on pepper plants under laboratory and greenhouse conditions. The results demonstrate that M. persicae grows rapidly on pepper crops under greenhouse conditions, reaching high densities on leaves. The ginger extract contains two active ingredients with insecticidal effects against this pest. The significant reduction in aphid (M. persicae) populations indicates that Z. officinale aqueous extract (150 mL/L) and essential oil (2 mL/L) have strong potential for the biological control of this pest under greenhouse conditions. Thus, the use of ginger plant extract emerges as a promising alternative for reducing M. persicae infestations on pepper plants.
May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Shrestha SwatiCorresponding author
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and targeted herbicide application are essential to avoid economic losses. Recent advancements in unmanned aerial vehicles (UAVs) and artificial intelligence (AI), offer promising solutions for early weed detection and management, improving efficiency and reducing negative environment impact. The integration of robotics and information technology has enabled the development of automated weed detection systems, reducing the reliance on manual scouting and intervention. Various sensors in conjunction with proximal and remote sensing techniques have the capability to capture detailed information about crop and weed characteristics. Additionally, multi-spectral and hyperspectral sensors have proven highly effective in weed vs crop detection, enabling early intervention and precise weed management. The data from various sensors consecutively processed with the help of machine learning and deep learning models (DL), notably Convolutional Neural Networks (CNNs) method have shown superior performance in handling large datasets, extracting intricate features, and achieving high accuracy in weed classification at various growth stages in numerous crops. However, the application of deep learning models in grass weed detection for wheat crops remains underexplored, presenting an opportunity for further research and innovation. In this review we underscore the potential of automated grass weed detection systems in enhancing weed management practices in wheat cropping systems. Future research should focus on refining existing techniques, comparing ML and DL models for accuracy and efficiency, and integrating UAV-based mapping with AI algorithms for proactive weed control strategies. By harnessing the power of AI and machine learning, automated weed detection holds the key to sustainable and efficient weed management in wheat cropping systems.
Feb 2022 DOI 10.14302/issn.2639-3166.jar-21-4019
Faruk IqbalCorresponding author
Principal Scientific Officer, Plant Pathology Division, Agricultural Research Institute, Joydebpur, Bangladesh.
This article has been retracted on 10 November 2022. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2639-3166.jar-25-5841) A field experiment was conducted with a view to test the efficacy of Tricho-composts and integration of Tricho-composts, poultry refuse (PR), neem oilcake (NOC), saw dust burning (SDB) with chemical nematicide Furadan 5G (Carbofuran) for controlling root knot nematode of country bean through which growers will be benefited. The root-knot nematode infested soils were treated with Tricho-compost-1 @ 2 kg/pit, Tricho-compost-2 @ 2 kg/pit, Tricho-compost-1 @ 2 kg/pit + Furadan 5 G @ 20 g/pit, Tricho-compost-2 @ 2 kg/pit + Furadan 5 G @ 20 g/pit, poultry refuse @ 5-6 kg/pit + Furadan 5 G @20 g/pit , neem oil cake @ 500 g/pit + Furadan 5 G @ 20 g/pit and saw dust burning + Furadan 5 G @ 20 g/pit. It was revealed that all the treatments performed well in reducing root-knot nematode infestation and increasing plant growth and yield country bean compared to farmers’ practices. Among the treatments, integration of poultry refuse with Furadan 5G or Trichoderma based bio-fungicides Tricho-composts with Furadan 5G or neem oil cake with Furadan 5G are the best treatments in reducing root-knot nematode infestation and increasing plant growth as well as yield of country bean. Soil treatment with only Tricho-composts or integration of saw dust burning with Furadan 5G also performed better in reduction of root knot nematode disease and increasing plant growth as well as yield of country bean.
May 2020 DOI 10.14302/issn.2639-3166.jar-20-3246
H. M. Adam AbubakerCorresponding author
Department of Crop Science, College of Agriculture, University of Bahri, Khartoum North, Sudan
The fruit flies of familyTephritidae are considered as serious pests of Mango in Sudan. They cause substantial damage to Mango in all Mango production areas. The application of various pesticides appeared to be ineffective. Therefore, this study was carried out to investigate the efficacy of Spinosad as new promising control measure to the fruit flies. This study was carried out at Shendi area, River Nile State during the period from April 2012 to August 2014, where Pheromone and food bait traps were used for detection and monitoring the fruit flies species in the study area. Spinosad (0.24g\L) was applied as a partial spraying pesticide. Results indicated that; the application of Spinosad highly decreased the fruit flies numbers. The average number of fruit flies collected in April was (947.22 and 1001.67) for the treated and untreated orchards respectively. The numbers of fruit flies in the treated orchards had decreased gradually during May, June, July and August, 904.7, 760.22, 609.6 and 452.7, respectively, but in untreated orchards for the same months had increased to 1003.67, 1103.67, 1336.67and 1468.67 respectively. However, the infestation level in mango fruits in the treated orchards was found to be 2% compared with 64% for untreated one.