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In vitro Susceptibility of Madurella mycetomatis to the Extracts of Anogeissus leiocarpus Leaves

Year: 2015 Volume: 9 Issue: 12 1198 - 1209 Pages

• Authors:
• Ikram Mohamed Eltayeb Elsiddig
• Abdel Khalig Muddather
• Hiba Abdel Rahman Ali
• Saad Mohamed Hussein Ayoub

Abstract: Anogeissus leiocarpus (Combretaceae) is well known for its medicinal uses in African traditional medicine, for treating many human diseases mainly skin diseases and infections. Mycetoma disease is a fungal and/ or bacterial skininfection, mainly cause by Madurella mycetomatis fungus. This study was carried out in vitro to investigate the antifungal activity of Anogeissus leiocarpus leaf extracts against the isolated pathogenic Madurella mycetomatis, by using the NCCLS modified method compared to Ketoconazole standard drug, and MTT assay. The bioactive fraction was subjected to chemical analysis implementing different chromatographic analytical methods (TLC, HPLC, and LC-MS/MS). The results showed significance antifungal activity of A. leiocarpus leaf extracts against the isolated pathogenic M. mycetomatis, compared to negative and positive controls. The chloroform fraction showed the highest antifungal activity. The chromatographic analysis of the chloroform fraction with the highest activity showed the presence of important bioactive compounds such as ellagic and flavellagic acids derivatives, flavonoids and stilbenoid, which are well known for their antifungal activity.

• Keywords:
• Anogeissus leiocarpus
• crude extracts and fractions of Anogeissus leiocarpus
• in vitro susceptibility of Madurella mycetomatis
• Madurella mycetomatis.

Allometric Models for Biomass Estimation in Savanna Woodland Area, Niger State, Nigeria

Year: 2015 Volume: 9 Issue: 4 269 - 277 Pages

• Authors:
• Abdullahi Jibrin
• Aishetu Abdulkadir

Abstract: The development of allometric models is crucial to accurate forest biomass/carbon stock assessment. The aim of this study was to develop a set of biomass prediction models that will enable the determination of total tree aboveground biomass for savannah woodland area in Niger State, Nigeria. Based on the data collected through biometric measurements of 1816 trees and destructive sampling of 36 trees, five species specific and one site specific models were developed. The sample size was distributed equally between the five most dominant species in the study site (Vitellaria paradoxa, Irvingia gabonensis, Parkia biglobosa, Anogeissus leiocarpus, Pterocarpus erinaceous). Firstly, the equations were developed for five individual species. Secondly these five species were mixed and were used to develop an allometric equation of mixed species. Overall, there was a strong positive relationship between total tree biomass and the stem diameter. The coefficient of determination (R2 values) ranging from 0.93 to 0.99 P < 0.001 were realised for the models; with considerable low standard error of the estimates (SEE) which confirms that the total tree above ground biomass has a significant relationship with the dbh. F-test values for the biomass prediction models were also significant at p

• Keywords:
• Allometriy
• biomass
• carbon stock
• model
• regression equation
• woodland
• inventory.