Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446223
Title: Biology and conservation of the endangered Ghanaian endemic tree Talbotiella gentii
Author: Dompreh, Daniel
ISNI:       0000 0001 3428 1275
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2008
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Abstract:
RAPD was used to assess genetic diversity among 18 populations of Talbotiella gentii, a ceasealpnoid, legume and an endemic rare species in Ghana in order to adopt proper conservation measures to prevent the species from extinction. Cluster analysis and correspondence analysis showed a clear distinction between populations into there major groups based on geographical origin. A total of 81 polymorphic bands were generated from 8 primers and used in the analysis. Amova analysis showed that 94.05% of the genetic variation was partitioned among populations while only 5.95% was found within population. Possible reasons for the high genetic differentiation (PHIst= 0.941) and the low levels of genetic variation within populations are inbreeding and genetic drift. The study also focused on the reproductive biology of Talbotiella from flowering stage through to seed germination and seedling survival to identify weak points that might contribute to its rarity and impeded its conservation. Talbotiella flowers from late October and fruit ripening starts in late January. Fruit abortion was found to be high; outcrossing hand pollination increased fruit and seed set, seed mass, seed germination and seedlings survival. Air sampling at 3 populations of Talbotiella using 3 Agar media was carried out to find out the prevalence of fungi. Out of 17 genera of fungi observed, Fusarium verticilloides was found to be dominant in Talbotiella populations and mainly occupies the stigmatic surface of Talbotiella. Fungal infestation was found to interfere with germination of pollen on stigmatic surface of the species. The results indicate that conservation strategies should focus on preserving all populations in order to capture genetic variation among populations.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.446223  DOI: Not available
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