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dc.creatorKhor, L.en_US
dc.creatorAyodele Bodunde, O.en_US
dc.creatorWills, R.en_US
dc.creatorHanson, L.en_US
dc.creatorAdeyemo, O.en_US
dc.creatorSanmi, A.en_US
dc.creatorSelim, A.en_US
dc.creatorDelamare-Deboutteville, J.en_US
dc.creatorChadag, V.en_US
dc.date.accessioned2024-04-04T15:12:06Z
dc.date.available2024-04-04T15:12:06Z
dc.date.issued2024en_US
dc.identifier.citationLaura Khor, Olusola Ayodele Bodunde, Robert Wills, Larry Hanson, Olanike Adeyemo, Aina Sanmi, Alarape Selim, Jerome Delamare-Deboutteville, Vishnumurthy Mohan Chadag. (8/2/2024). Understanding aquaculture biosecurity to improve catfish disease management in Ogun and Delta States, Nigeria. Aquaculture, 584.en_US
dc.identifier.issn0044-8486en_US
dc.identifier.issn1873-5622en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/5901
dc.description.abstractNigeria is one of Africa's largest aquaculture producers with catfish and tilapia being dominantly farmed. However, the lack of biosecurity and an unclear aquatic animal health strategy have resulted in substantial disease-related production losses. This study aimed to better understand the existing biosecurity management practices and risk factors that could potentially lead to mortality in catfish production systems using Ogun and Delta States as study sites for a regional model. For this purpose, WorldFish and partners developed a Fish Epidemiology and Health Economics digital survey tool (version 1.13) to collect cross-sectional data from farms within the two states. Consenting farms were recruited from four Local Government Areas (LGAs) (Ijebu-Ode, Ikenne, Odogbolu and Shagamu) in Ogun State and five LGAs (Oshimili South, Udu, Ughelli North, Uvwie and Warri South) in Delta State, from which the data of 220 farms raising table-size catfish were analyzed. Descriptive statistics was used to classify findings by state identity and unusual level of mortality (abnormal losses with higher intensity or quantity) according to production systems, biosecurity measures, management practices, and other potential risk factors. Mixed model logistic regression was used to assess the association between high mortality occurrence and potential risk factors. No significant association between unusual farm mortality and state identity was detected (p = 0.314) but those were included as a random effect to account for them as a source of variation. Only 10.45% of farms experienced unusual fish mortality; however, those farms (n = 23) had higher baseline mortality (p = 0.015) at 15.08%, compared to 6.57% in farms without unusual mortality (n = 197). Only 14.55% of farms documented mortality on paper records, while other farms estimated losses from memory. Most farms (96.82%) did not implement biosecurity procedures at stocking. In that aspect, significantly more farms (p = 0.045) that introduced fish after main stocking reported unusual mortality (42.86%) compared to those that did not restock afterwards (9.39%). Farms using solely homemade feed had 5.1 and 18.2 times greater odds of unusual mortality compared to farms using only commercial feed and those depending on both commercial feed and other materials respectively (p = 0.049). Meanwhile, only 1.36% of farms reported using the services of a veterinarian. Findings from this study indicated plenty of room for biosecurity improvement in earthen pond systems rearing catfish in Ogun and Delta states. Risk factor analysis of industry data can inform the development of local biosecurity management plans and national aquatic health strategy guidelines for sustainable aquaculture.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevier Ltd.en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceAquaculture;584,(2024)en_US
dc.subjectcatfish (clarias spp. & heterobranchus spp.)en_US
dc.subjecttilapia (oreochromis niloticus)en_US
dc.titleUnderstanding aquaculture biosecurity to improve catfish disease management in Ogun and Delta States, Nigeriaen_US
dc.typeJournal Articleen_US
cg.contributor.funderUnited States Agency for International Developmenten_US
cg.contributor.funderNorwegian Agency for Development Cooperationen_US
cg.contributor.funderCGIAR Trust Funden_US
cg.contributor.projectImproving Biosecurity: A Science-based Approach to Manage Fish Disease Risks and Increase the Socio-economic Contribution of the Nigerian Catfish and Tilapia Industriesen_US
cg.coverage.countryNigeriaen_US
cg.coverage.regionWestern Africaen_US
cg.subject.agrovocepidemiologyen_US
cg.subject.agrovocdisease managementen_US
cg.subject.agrovocfishen_US
cg.contributor.affiliationInternational Institute of Tropical Agricultureen_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.affiliationUniversity of Ibadanen_US
cg.contributor.affiliationThe Norwegian Veterinary Instituteen_US
cg.contributor.affiliationMississippi State Universityen_US
cg.contributor.affiliationMississippi State University, Feed the Future Innovation Lab for Fishen_US
cg.identifier.statusOpen accessen_US
cg.identifier.ISIindexedISI indexeden_US
cg.contribution.worldfishauthorKhor, L.en_US
cg.contribution.worldfishauthorDelamare-Deboutteville, J.en_US
cg.contribution.worldfishauthorChadag, V.en_US
cg.description.themeSustainable aquacultureen_US
dc.identifier.doihttps://dx.doi.org/10.1016/j.aquaculture.2024.740664en_US
cg.creator.idJerome Delamare-Deboutteville: 0000-0003-4169-2456en_US
cg.creator.idVishnumurthy Mohan Chadag: 0000-0002-2574-284Xen_US
cg.subject.sdgSDG 3 - Good health and well-beingen_US
cg.subject.sdgSDG 4 - Quality educationen_US
cg.subject.sdgSDG 8 - Decent work and economic growthen_US
cg.subject.sdgSDG 11 - Sustainable cities and communitiesen_US
cg.subject.sdgSDG 12 - Responsible consumption and productionen_US
cg.subject.sdgSDG 14 - Life below wateren_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.contributor.initiativeAquatic Foodsen_US
cg.contributor.initiativeOne Healthen_US


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