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Articles by H.M. Amoatey
Total Records ( 4 ) for H.M. Amoatey
  H.A. Doku , E.Y. Danquah , A.N. Amoah , K. Nyalemegbe and H.M. Amoatey
  Studies were carried out on 18 accessions of African rice (Oryza glaberrima Steud.) collected from four geographical regions of Ghana to assess genetic diversity and potential of these accessions, towards a thorough exploitation of the species, in a region-wide breeding programme to obtain new rice varieties better adapted to the harsh growing conditions of West and Central Africa (WCA). Simple Sequence Repeat (SSR) markers were used to estimate diversity among the accessions. Out of 24 SSR primers used, 23 (i.e., 95.83%) showed allelic polymorphism in the accessions studied. Overall genetic diversity was high (I = 1.178, He = 0.625 and Nei’s He = 0.608) and the Fixation index statistics (Fst) revealed that 51.5% of the total variation exists among populations collected from the four geographical regions. All accessions were identified as separate entries with no duplications.
  H.M. Amoatey , G.Y.P. Klu , E.K. Quartey , H.A. Doku and J.K. Ahiakpa
  About twenty six (26) local accessions and three (3) exotic lines of okra were collected from 8 geographic regions of Ghana. Their agro-morphological traits were evaluated under field conditions on the research fields of the Biotechnology and Nuclear Agriculture Research Institute (BNARI), using the International Plant Genetic Research Institute (IPGRI) descriptor lists for okra. Hierarchical cluster analysis of results groupedthe accessionsinto 2 major clusters and subsequently into 5 sub-clusters based on the qualitative characters studied. The pattern of clustering did not indicate any relationship with geographic origin of collection. The 2 most divergent accessions were Cs-Legon (local accession) and Clemson Spineless (exotic line).
  K.E. Danso , N.T. Afful , C. Annor and H.M. Amoatey
  The growing of oil producing tree crops for biodiesel on large scale to supplement fossil fuel has become lucrative agribusiness for farmers due to high cost of crude oil. In spite of their high economic value and comparative advantage over food crops as energy sources, oil producing tree crops have low seed viability making large scale commercial propagation difficult. Thus alternative mode of propagation via in vitro culture is highly recommended. In this study, attempts were made to regenerate Ricinus communis and Jatropha curcas, oil producing tree crops belonging to the family Euphorbiaceae. The addition of cytokinin (BAP, kinetin or 2iP) in the culture medium significantly increased the viability of zygotic embryos of Ricinus over the controls depending on the stage at which the fruits were collected but conversely in Jatropha the increase was not significantly different. Of the three cytokinins used 2iP enhanced the highest shoot regeneration with the optimal concentration ranging from 0.5 mg L-1 in Ricinus and 1.5 or 2.0 mg L-1 in Jatropha, indicating genotypic difference between the species. However, excessive callus formation and browning in Ricinus led to the loss of regenerants. Plant growth regulators also influenced regeneration from meristem explant with 2iP again being the best. The successful regeneration of plantlets from shoot tip explants of Ricinus and Jatropha augurs well for future genetic transformation of the crop for biofuel production.
  E.A. Gyamera , H.M. Amoatey and G.K. Owusu
  Mathematical models play crucial role in effective plant disease management. They permit accurate forecasting of plant disease epidemics for timely interventions. However, the use of mathematical models in plant disease management has not received much attention in Ghana. This study assesses the disease intensities and the spatio-temporal spread patterns of viral diseases on a zucchini squash (Cucurbita pepo L.) field in the coastal savannah zone of Ghana. Disease intensity data were transformed by Exponential, Monomolecular, Gompertz and Logistic models. Semivariance analysis and Inverse Distance Weighting interpolations were performed using the GS+geostatistical software. The Gompertz model explained best the observed variability in disease incidence data with 90.86% agreement between field-observed and model-predicted disease incidence data. For disease severity, the Exponential model best described the progress of the disease with a co-efficient of determination of 94.38%. The semivariogram estimated a range of spatial dependence of 0.63 m and a sill of 1.91400.
 
 
 
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