J. Biosci. Agric. Res. | Volume 27, Issue 02, 2267-2277 | https://doi.org/10.18801/jbar.270221.276
Article type: Research article | Received: 15.04.2021; Revised: 12.05.2021; First published online: 30 May, 2021.
Article type: Research article | Received: 15.04.2021; Revised: 12.05.2021; First published online: 30 May, 2021.
Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya
Mogaka M. Onyambu 1, Benson O. Onyango 2, Moses M. Muraya 3, Peterson M. Ong’au 1 and Fredrick O. Ogolla 1
1 Department of Biological Sciences, Chuka Universities P.O. Box 109-60400, Chuka, Kenya
2 Jaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo P.O. Box 210 - 40601 Bondo, Kenya
3 Department of Plant Sciences, Chuka Universities P.O. Box 109-60400, Chuka, Kenya
✉ Corresponding author: [email protected] (Onyambu, MM), Contact Number: +254719125687
1 Department of Biological Sciences, Chuka Universities P.O. Box 109-60400, Chuka, Kenya
2 Jaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo P.O. Box 210 - 40601 Bondo, Kenya
3 Department of Plant Sciences, Chuka Universities P.O. Box 109-60400, Chuka, Kenya
✉ Corresponding author: [email protected] (Onyambu, MM), Contact Number: +254719125687
Abstract
Banana (Musa spp.) is a nutrient rich crop grown in small and large scale across the globe. It is rich in carbohydrates, vitamins and minerals thus, it may serve as the source of nutrition in low resourced regions such as Tharaka Nithi County, Kenya. However, banana production in many areas is faced with biotic constraints such as banana Xanthomonas wilt (BXW) disease caused by Xanthomonas campestris pv. musacearum. The pathogen attacks photosynthetic leaves and young fruits, reducing palatability and marketability. There is currently scanty information on prevalence of BXW in Nithi region of Tharaka Nithi County. Additionally, it remains unclear whether farmers in the region are knowledgeable on occurrence of BXW disease, symptoms and management practices. The prevalence of BXW was assessed through survey method in five villages (Kiang’ondu, Marima, Mitheru, Kibumbu and Giampampo) in Nithi. Percentage BXW prevalence in the studied villages was not significantly different (p>0.05). However, slightly higher BXW prevalence value of 21.14% was recorded at Giampampo village and was lower at Mitheru 11.24%. There was significant relationship (X2 (8, N = 46) = 19.93, p= 0.0034) between banana variety grown and occurrence of banana diseases. There was significant relationship (X2 (8, N = 46) = 31.165, p = 0.0053) between banana variety grown and susceptibility to diseases. The relationship between years of growing banana in the same farm and occurrence of banana diseases was significant (X2(6,N= 46) = 8.761,p= <0.0001. The relationship between occurrence of banana diseases and season of the year was significant (X2(8,N= 46) = 32.4591, p= <0.0001). The relationship between occurrence of banana diseases and management option in Nithi was significant (X2(4,N= 46) = 6.9758,p= 0.0025). Majority of the farmers (92%) were unaware of existence of BXW in the region. Farmers expressed lack of knowledge on managing BXW diseases in their banana farms with the majority not being able to identify common diseases of banana. Based on these observations, there is need to educate farmers on best banana farming practices, disease identification and management.
Key Words: Banana, Xanthomonas-wilt, Tharaka-Nithi and Kenya
Banana (Musa spp.) is a nutrient rich crop grown in small and large scale across the globe. It is rich in carbohydrates, vitamins and minerals thus, it may serve as the source of nutrition in low resourced regions such as Tharaka Nithi County, Kenya. However, banana production in many areas is faced with biotic constraints such as banana Xanthomonas wilt (BXW) disease caused by Xanthomonas campestris pv. musacearum. The pathogen attacks photosynthetic leaves and young fruits, reducing palatability and marketability. There is currently scanty information on prevalence of BXW in Nithi region of Tharaka Nithi County. Additionally, it remains unclear whether farmers in the region are knowledgeable on occurrence of BXW disease, symptoms and management practices. The prevalence of BXW was assessed through survey method in five villages (Kiang’ondu, Marima, Mitheru, Kibumbu and Giampampo) in Nithi. Percentage BXW prevalence in the studied villages was not significantly different (p>0.05). However, slightly higher BXW prevalence value of 21.14% was recorded at Giampampo village and was lower at Mitheru 11.24%. There was significant relationship (X2 (8, N = 46) = 19.93, p= 0.0034) between banana variety grown and occurrence of banana diseases. There was significant relationship (X2 (8, N = 46) = 31.165, p = 0.0053) between banana variety grown and susceptibility to diseases. The relationship between years of growing banana in the same farm and occurrence of banana diseases was significant (X2(6,N= 46) = 8.761,p= <0.0001. The relationship between occurrence of banana diseases and season of the year was significant (X2(8,N= 46) = 32.4591, p= <0.0001). The relationship between occurrence of banana diseases and management option in Nithi was significant (X2(4,N= 46) = 6.9758,p= 0.0025). Majority of the farmers (92%) were unaware of existence of BXW in the region. Farmers expressed lack of knowledge on managing BXW diseases in their banana farms with the majority not being able to identify common diseases of banana. Based on these observations, there is need to educate farmers on best banana farming practices, disease identification and management.
Key Words: Banana, Xanthomonas-wilt, Tharaka-Nithi and Kenya
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MLA
Onyambu, M. M. et al. “Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya”. Journal of Bioscience and Agriculture Research, 27(02), (2021): 2267-2277.
APA
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. (2021). Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 27(02), 2267-2277.
Chicago
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. “Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya”. Journal of Bioscience and Agriculture Research, 27(02), (2021): 2267-2277.
Harvard
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. 2021. Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 27(02), pp. 2267-2277.
Vancouver
Onyambu, MM, Onyango, BO, Muraya, MM, Ong’au, PM and Ogolla, FO. Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 2021 May, 27(02): 2267-2277.
Onyambu, M. M. et al. “Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya”. Journal of Bioscience and Agriculture Research, 27(02), (2021): 2267-2277.
APA
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. (2021). Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 27(02), 2267-2277.
Chicago
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. “Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya”. Journal of Bioscience and Agriculture Research, 27(02), (2021): 2267-2277.
Harvard
Onyambu, M. M., Onyango, B. O., Muraya, M. M., Ong’au, P. M. and Ogolla, F. O. 2021. Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 27(02), pp. 2267-2277.
Vancouver
Onyambu, MM, Onyango, BO, Muraya, MM, Ong’au, PM and Ogolla, FO. Prevalence of banana Xanthomonas wilt in Nithi, Tharaka-Nithi County in Kenya. Journal of Bioscience and Agriculture Research, 2021 May, 27(02): 2267-2277.
References:
- Amir, H., and Pineau, R. (1998). Influence of plants and cropping on microbiological characteristics of some New Caledonian ultramafic soils. Soil Research, 36(3), 457.
- Begum, K., Mannan, S. J., Rezwan, R., Rahman, M. M., Rahman, M. S., and Kamal, A. N. (2017). Isolation and Characterization of Bacteria with Biochemical and Pharmacological Importance from Soil Samples of Dhaka City. Dhaka University Journal of Pharmaceutical Sciences, 16(1), 129-136. https://doi.org/10.3329/dujps.v16i1.33390
- Chitra, B., Harshab, P., Sadhana, G., and Soni, R. (2014). Isolation characteriazation of bacterial isolates from agricultural soil at durg district. Indian Journal of Scientific Research, 4(1), 221-226.
- Farrell, M. J., Govender, D., Hajibabaei, M., Bank, M. V., and Davies, T. J. (2019). Bacterial diversity in the waterholes of the Kruger National Park: An eDNA meta bar coding approach. Genome, 62(3), 229-242. https://doi.org/10.1139/gen-2018-0064
- Hasan, R., Aktar, N., Kabir, S. M., Honi, U., Halim, A., Islam, R. and Islam, M. S. (2020). Pectinolytic Bacterial Consortia Reduce Jute Retting Period and Improve Fibre Quality. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-61898-z
- Holt, J., Krieg, N., and Sneath, P. (1994). Bergey's manual of determinative bacteriology (9th ed.) Baltimore: Williams & Wilkins.
- Kumar, S., Stecher, G., Li, M., Knyaz, C., and Tamura, K. (2018). MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Molecular Biology and Evolution, 35(6), 1547-1549. https://doi.org/10.1093/molbev/msy096
- Kummerer, K. (2004). Resistance in the environment. Journal of Antimicrobial Chemotherapy, 54(2), 311-320. https://doi.org/10.1093/jac/dkh325
- Myers, N., Mittermeier, R. A., Mittermeier, C. G., Fonseca, G. A., and Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853-858.
- Sambrook, J., and Russel, D. W. (2001). Molecular cloning a laboratory manual (3rd ed.). New York: Cold Spring Harbor Laboratory Press.
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