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dc.contributor.authorAffram, E.I.
dc.contributor.authorAdetimirin, V.
dc.contributor.authorFatokun, C.
dc.contributor.authorBoukar, O.
dc.date.accessioned2022-12-16T09:20:09Z
dc.date.available2022-12-16T09:20:09Z
dc.date.issued2022-09-04
dc.identifier.citationAffram, E.I., Adetimirin, V., Fatokun, C. & Boukar, O. (2022). Screening of Vigna unguiculata (L.) WALP. accessions from Togo for their reaction to Callosobruchus maculatus F. Asian Journal of Agriculture and Biology, 4, 1-13.
dc.identifier.issn2307-8553
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7986
dc.description.abstractPost-harvest losses in cowpea are mostly caused by the infestation of Callosobruchus maculatus, a storage pest. It can cause up to 100% loss of untreated produce. Host Plant Resistance (HPR), an important component of integrated pest management, has potential for sustainable management of C. maculatus. The objective of this study was to assess a recently collected cowpea germplasm from Togo for resistance to C. maculatus. A total of 200 cowpea accessions from the five regions of Togo and five checks were screened for resistance to C. maculatus using a no-choice assay. The experiment was laid out in a completely randomized design (CRD) with three replications. Data were collected on average number of eggs laid (ANEL), average number of adult emergence (ANAE), number of holes per seed (NHPS), initial and final seed weight (ISW and FSW), median development period (MDP), percentage adult emergence (PAE), and percentage weight loss (PWL), and two indices of resistance computed viz. insect growth index (G.I.) and Dobie’s susceptibility index (DSI). Data collected were subjected to analysis of variance, Pearson’s correlation and stepwise multiple regression analysis. A total of 51 accessions were moderately resistant, among which RS009 and RP218 had the least DSI score. The remaining accessions (149) were susceptible. DSI was significantly correlated with ANAE, PWL and NHPS, and had a significant and negative correlation with MDP. The results of the stepwise multiple regression showed ANAE, PWL and MDP were the better predictors of cowpea bruchid resistance and accounted for 87.7% of the observed variation in DSI scores.
dc.description.sponsorshipAfrican Union Commission
dc.format.extent1-13
dc.language.isoen
dc.subjectCowpeas
dc.subjectCallosobruchus Maculatus
dc.subjectFood Security
dc.subjectViroses
dc.subjectWest Africa
dc.titleScreening of Vigna unguiculata (L.) WALP. accessions from Togo for their reaction to Callosobruchus maculatus F.
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationUniversity of Ibadan
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryTogo
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidAFFRAM:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCowpea
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalAsian Journal of Agriculture and Biology
cg.notesOpen Access Journal; Published online: 16 Mar 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.35495/ajab.2021.06.262
cg.iitaauthor.identifierChristian Fatokun: 0000-0002-8428-7939
cg.iitaauthor.identifierOusmane: 0000-0003-0234-4264
cg.futureupdate.requiredNo
cg.identifier.volume4


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