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5 articles for “Bacterial wilt”
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Response of Enset Clones to Enset Bacterial wilt Disease in South Omo Zone, South Ethiopia
Abstract: Xanthomonas campestris pv.musacearum (enset bacterial wilt)) is one of the most serious diseases in South Omo zone. Proper management of enset bacterial wilt (EBW) is important to maximize the enset yield. Therefore, the objective of this research was to evaluate enset clones’ reaction to EBW. The study was carried out during 2017/2018. Nineteen enset clones (17 from South Omo zone and 2 cheks namely Meziya (resistant) and Arkiya (susceptible)) from …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 11, Issue 3, 2022 · pp. 17–25 Read article
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Assessment on farmers’ enset bacterial wilt management practices in South Omo zone, Ethiopia
Abstract: Bacterial wilt caused by xanthomonas campestris pv. musacearum is the most serious enset disease in Sout Omo zone. There were no documented reports on the farmers’ enset bacterial wilt management practices in South Omo zone. Therefore, the objective of the survey was to assess the farmers’ enset bacterial wilt management practices in the study area. The survey was carried out during 2017/2018. South Ari and North Ari districts were purposely …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 3, 2022 · pp. 26–32 Read article
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Pre-extension Demonstration of Improved Lowland Enset at Gurage and Siltie Zones, Southern Ethiopia
Abstract: The southern regions of Ethiopia have a variety of agroecologies suitable for various crops, including Enset, but their range is very limited. On this basis, the Worabe Agricultural Research Center has conducted a pre-expansion demonstration of the improved Enset technology in the Meskan and Dalochadistricts of the Gurage and Siltie zones from 2020 to 2023. The aim of the present study was to generate broader demand, increase production and assess …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 1, 2024 · pp. 39–43 Read article
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Automated Brinjal Leaf Disease Detection Using Machine Learning: A Sri Lankan Study
Abstract: The spread of plant diseases has a significant negative impact on agricultural output quality and yield, resulting in significant economic losses. Plant disease automation in agricultural science is our country's main concern due to the economic crisis and the emphasis on organic farming practices. Furthermore, the accuracy and efficiency of recognizing sick leaves have increased due to the expanding usage of smart technology. This study uses machine learning and image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 41–56 Read article
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Genetic Diversity Studies of Eggplant (Solanum melongena L.) Genotypes
Abstract: Twenty-two genotypes of eggplant were evaluated to assess the genetic diversity within the genotypes at Horticulture Research Centre (HRC) field, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur, Bangladesh during the winter season of 2013-2014. Genetic diversity among 22 eggplant genotypes was estimated using Mahalanobis’s D2 statistic. Altogether five clusters were formed. Cluster II enclosed the highest number of genotypes (6) and cluster IV contained the lowest …
Published in Research & Reviews : Journal of Botany · Vol. 8, Issue 1, 2019 · pp. 42–57 Read article