Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4895
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dc.contributor.authorAsare-Bediako, Elvis-
dc.date.accessioned2021-03-15T12:00:20Z-
dc.date.available2021-03-15T12:00:20Z-
dc.date.issued2018-
dc.identifier.issn23105496-
dc.identifier.urihttp://hdl.handle.net/123456789/4895-
dc.description12p:, ill.en_US
dc.description.abstractOkra leaf curl disease (OLCD) is a major constraint on okra (Abelmoschus esculentus L. Moench) production in West Africa. The most effective way of managing this disease is through breeding and planting of resistant varieties. In order to identify sources of resistance and or tolerance, 21 okra genotypes were screened against OLCD in field trials which were conducted from May to October, 2015 (rainy season) and November 2015 to March 2016 (dry season). Field resistance was assessed at 2, 6 and 10 weeks after sowing (WAS) based on disease symptoms, and then confirmed by PCR amplification of viral coat protein gene. Populations of whitefly (Bemisia tabaci), the vector of begomoviruses associated with OLCD, as well as fruit yields were also assessed. Both PCR and field trials showed that all the okra genotypes were susceptible to the viral infection. The genotypes varied significantly (P and 6.108 t ha-1 and 4.05 t ha-1 respectively in the dry season, far above the overall mean yields for all the okra genotypes. Both genotypes GH5332 and GH6105 should be evaluated multi-locationally at farmers’ fields prior to their release as varieties or they should be incorporated into breeding linesen_US
dc.language.isoenen_US
dc.publisherUniversity of Cape Coasten_US
dc.subjectOkra leaf curl diseaseen_US
dc.subjectAbelmoschus esculentusen_US
dc.subjectField resistanceen_US
dc.subjectBemisia tabacien_US
dc.subjectBegomovirusesen_US
dc.subjectCotton leaf curl Gezira virusen_US
dc.titlePhenotypic and molecular screening of okra (Abelmoschus esculentus L. Moench) genotypes against okra leaf curl diseaseen_US
dc.typeArticleen_US
Appears in Collections:Department of Crop Science

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