38 research outputs found

    Estimation of the Quantity of Water in the Abandoned Underground Mine of Gold Fields Ghana Limited Tarkwa: A Potential Source to Augment Water Supply to Tarkwa Municipality

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    The Tarkwa district is an important gold mining area in the Southwestern part of Ghana. The main source of potable water supply to the Tarkwa Nsuaem Municipality is from the Bonsa River treatment plant managed by the Ghana Water Company Limited (GWCL). The River is under threat from serious contamination by illegal mining ("galamsey") activities within its catchment area. Consequently, the amount of water supplied to the Municipality has not kept pace with its growing population due to increasing treatment cost and supply difficulties. The need to find alternative and sustainable sources of potable water supply to augment that from GWCL to the Municipality has become imperative. A large void volume created as a result of the abandoned underground mine operated by Gold Fields Ghana Limited (GFGL), after its closure in 1999 has flooded. This potential water resource is being pumped out daily, and wasted, sometimes spilling-over to low lying areas around the mine when allowed to reach its decant level. This study estimated the quantity of water in the Abontiakoon Vertical Shaft (AVS) which is part of the large underground void using survey production figures and post-closure void filling parameters resulting in 2.8 x 106 m3 and 2.9 x 106 m3 respectively. The rate of recharge to the underground water was also estimated to ascertain the sustainability of the void water should it be considered for use by employing the model of predicting rebound on “void filling” basis and average dewatering rate before closure at 2 535 m3/day and 2 618 m3/day respectively; indicating that recharge to the AVS reservoir is about 6 x 106 gal/day or 30% of current daily water supply deficit in the TNM. The estimated potential volume of mine water in storage in the entire Tarkwa underground void is 32 x106 m3. Two samples of the mine water were taken in November 2011 and February 2015 for quality analysis, in order to have a fair knowledge of the water quality parameters. The quality of the underground water was found to be potentially good, and not likely to cause any health threats, or water quality problems. Depth sampling is recommended to determine the chemical profile of the reservoir. Keywords: Reservoir, Municipality, Bonsa River, Contamination, Tarkw

    Genetically engineered East African highland bananas – proximate analysis and effect of cooking on the enhanced provitamin A levels

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    Micronutrient deficiency is a major challenge in the developing world. This is mainly attributed to over-reliance on starchy staples foods such as cassava, rice and banana among others, which are deficient in micronutrients such as vitamin A and iron. Strategies put in place to provide a solution to micronutrient deficiencies such as dietary supplementation of vitamin A and food fortification have not been successful in the developing world due to high costs and unreliable supply chains (food and medical). Biofortification of the easily accessible staple foods could help reduce this problem associated with micronutrient deficiency. On this account, the Biofortification project in Uganda under the National Banana Program developed transgenic East African Highland Bananas (EAHBs) (M9 and Nakitembe) with enhanced levels of provitamin A (PVA) using the Fe’i banana-derived phytoene synthase 2a (MtPsy2a) gene. To determine the nutritional quality of the transgenic bananas, an analysis of the proximate composition of the biofortified East African Highland Bananas was carried out. The effect of cooking on retention of provitamin A carotenoids (pVAC), was assessed using two cooking methods; boiling and steaming (most common methods of preparing cooking banana meals in Uganda). It was observed that there were no significant (P≤0.05) differences in moisture content (P=0.4287), carbohydrate (P=0.3966), crude fat (P=0.4051), crude fiber (P=0.3214), protein (P=0.0858) and ash content P=0.1336) between transgenic and non-transformed bananas. It was found that steaming, as a cooking method allowed for retention of more provitamin A carotenoids compared to boiling. Comparison of the cultivars on their retention of provitamin A carotenoids, results indicated that Nakitembe was superior to M9. Genetic engineering of bananas by biofortification has no effect on major food components in EAHBs (M9 and Nakitembe) and, therefore, genetically modified M9 and Nakitembe are substantially equivalent to the non-transgenic controls and the biofortified bananas can provide the necessary nutrients even after cooking. This  data will inform subsequent steps for the commercialization of biofortified EAHBs

    Participatory Approach to Variety Selection Using Soybean Production in Ghana as a Model

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    In the past, soybean varieties released in Ghana were selected primarily for grain yield potential, earliness, seed viability and low phosphorus tolerance. However, most of these varieties are not resistant to pod shattering, resulting in high grain losses. In order to identify traits farmers consider most important when deciding which soybean varieties to adopt, a participatory variety selection approach was used to evaluate varieties in two locations (Nyankpala and Wa) in the Guinea savanna zone of Ghana during the 2010 and 2011 cropping seasons. Twelve medium and 14 early maturing varieties were evaluated. Farmers’ variety selection criteria and ranking did not differ across locations and gender groups. Additionally, four most preferred traits by farmer (grain yield, pod shattering, earliness and pods per plant) out of 12 traits were considered very important by farmers at both locations. In some instances, farmers’ preference for the best varieties was not exactly in line with researchers’ selection. Best four ranked varieties (TGx 1799-8F, TGx 1834-5E, TGx 1445-3E and TGx 1844-22E) were preferred by farmers because they possess positive attributes such as higher grain yields, resistance to pod shattering, numerically more pods per plant and enhanced ability to control Striga hermonthica. These varieties were later released as Suong-Pungun, Afayak, Songda and Favour, respectively for commercial production throughout Ghana. Consequently, soybean breeders should incorporate farmers’ preferred traits in selecting varieties in the breeding process in order to increase likelihood of adoption of the varieties

    Economic Impacts of Climate Change on Cereal Production: Implications for Sustainable Agriculture in Northern Ghana

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    This paper investigates the economic impacts of climate change on cereal crop production in Northern Ghana using 240 households comprising maize and sorghum farmers. The Ricardian regression approach was used to examine the economic impacts of climate change based on data generated from a survey conducted in the 2013/2014 farming seasons. Forty-year time-series data of rainfall and temperature from 1974 to 2013, together with cross-sectional data, were used for the empirical analysis. The Ricardian regression estimates for both maize and sorghum showed varying degrees of climate change impacts on net revenues. The results indicated that early season precipitation was beneficial for sorghum, but harmful for maize. However, mid-season precipitation tended to promote maize production. Temperature levels for all seasons impacted negatively on net revenue for both crops, except during the mid-season, when temperature exerted a positive effect on net revenue for sorghum. Our findings suggest that appropriate adaptation strategies should be promoted to reduce the negative impacts of prevailing climate change on cereal crop production

    An assessment of mobile phone-based dissemination of weather and market information in the Upper West Region of Ghana

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    Abstract Background The rapid growth of mobile phones in Ghana has opened up the possibility of delivering timely and useful weather and market information to farmers at costs lower than traditional agricultural extension services. In this paper, we assess the usefulness, constraints, and factors likely to influence farmers’ decisions to patronize mobile phone-based weather and market information. Methods We rely on primary data from 310 farmers in the Upper West Region, an understudied part of Ghana. We subject the data to three types of analysis. First, we model farmers’ decision to patronize mobile phone-based weather and market information by estimating a binary logit model. Second, we use descriptive statistics and hypothesis testing to analyse the level of usefulness of mobile phone-based weather and market information. We disaggregate the analysis by sex, income status, and age group. Finally, we use qualitative analysis to summarize the constraints associated with the utilization of mobile phone-based weather and market information. Results We find that contact with agricultural extension agents and farmer-to-farmer extension services significantly influences farmers’ decision to patronize mobile phone-based weather and market information. Regardless of sex, income status, and age group, farmers generally rate mobile phone-based weather and market information as very useful. We identify inexact information, complex text messages, information that are too costly to implement, and poor infrastructure as the constraints to the utilization of mobile phone-based weather and market information. Conclusion In order to improve the utilization of mobile phone-based weather and market information, disseminators of mobile phone-based information such as Esoko should constantly update and provide client-specific information. Improvements in mobile phone networks and related services will enhance the utilization of mobile phone-based weather and market information

    Multi-Actors' Co-Implementation of Climate-Smart Village Approach in West Africa: Achievements and Lessons Learnt

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    Climate change and variability are significant challenges for the environment and food security worldwide. Development strategies focusing simultaneously on adaptive farming, productivity, and reducing greenhouse gas (GHG) emissions-known as climate-smart agriculture (CSA) strategies-are key to responding to these challenges. For almost a decade, within the framework of Climate Change, Agriculture and Food Security (CCAFS), World Agroforestry (ICRAF), and its partners have been using Participatory Action Research (PAR) to fully engage key stakeholders in co-creating such CSA development strategies. This includes the testing of Agricultural Research for Development (AR4D) CSA scalability options. The multidisciplinary teams include the National Research and Extension Systems (NARES), national meteorological services (NMS), non-profit organizations (NGOs), and local radio programs, among others. The CCAFS-West Africa Program,World Agroforestry-West and Central Africa (ICRAF-WCA), International Union for Conservation of Nature (IUCN), University of Reading, and Centre Régional de Formation et d’Application en Agro-météorologie et Hydrologie Opérationnelle (AGRHYMET) provide technical backstopping to the national teams. Climate information (CI) was used as an entry point to inform the development of CSA technologies and practices within Climate-Smart Villages (CSV). This groundwork has led to a greater understanding of three critical factors for successful CSV implementation: (1) Building strong partnerships to co-design and develop agricultural systems that improve ecosystemand population resilience, (2) Key stakeholders (researchers, farmers, development agents, and students) capacity strengthening through vocational and academic training, and (3) Using CI for livelihood planning at all scales. These three factors support more effective identification and testing of agricultural technologies and practices addressing climate variability and change at plot, community, and landscape levels. This paper discusses the PAR-CSA methodology and parameters for evaluation, including biophysical and social change. Keys to success, including communication, knowledge sharing tools, and scalability are also discussed. Finally, future opportunities for improvement are presented, including knowledge product development, CSA policy and investment planning, capacity building, further engagement of the private sector, and additional research on existing practices and tools
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