Ethiopia has been amongst the principal honey and beeswax producers worldwide for centuries. Beekeeping in Amhara region could be one way of assisting millions of the region’s farmers to improve their cash income, provide additional food, assist in pollination, generate employment and at the same time produce honey, beeswax and other hive products which can bring foreign currency into the country. This paper discusses the constraints and the future prospects on apiculture development of the region. The challenges are many but can be overcome while the opportunities are very encouraging. As a conclusion, developing appropriate policy and beekeeping development strategy that would be applicable to the different production systems will ensure the sustainable development of apiculture sub sector.

Ethiopia has been amongst the principal honey and beeswax producers worldwide for centuries. Beekeeping in Amhara region could be one way of assisting millions of the region?s farmers to improve their cash income, provide additional food, assist in pollination, generate employment and at the same time produce honey, beeswax and other hive products which can bring foreign currency into the country. This paper discusses the constraints and the future prospects on apiculture development of the region. The challenges are many but can be overcome while the opportunities are very encouraging. As a conclusion, developing appropriate policy and beekeeping development strategy that would be applicable to the different production systems will ensure the sustainable development of apiculture sub sector | K. Ejigu, T. Gebey, Thomas R. Preston, 'Constraints and prospects for apiculture research and development in Amhara region, Ethiopia', Livestock Research for Rural Development, 2009

In mix crop livestock systems, farmers derive their livelihoods using natural resources based strategies and off farm income. In these system livestock is both a source of food, fiber cash income and draught power valued in agricultural production and transport. Using the sustainable livelihood framework the contribution of working animals to income, food security and poverty alleviation is discussed in the context of rural West Africa. We use data collected in selected communities to test empirically the impact of ownership of working animals on poverty alleviation. Specifically, a poverty index is developed based on asset ownership and income from different sources including forest and off farm income. Then, this index is regressed on ownership of working animals and other important socio-economic determinants to provide evidence of the role of draught animals in poverty alleviation. Additional discussion also addresses the issues of constraints to the optimal contribution of working animals to the livelihoods and strategies to further improve the role of these working animals are highlighted.

In mix crop livestock systems, farmers derive their livelihoods using natural resources based strategies and off farm income. In these system livestock is both a source of food, fiber cash income and draught power valued in agricultural production and transport. Using the sustainable livelihood framework the contribution of working animals to income, food security and poverty alleviation is discussed in the context of rural West Africa. We use data collected in selected communities to test empirically the impact of ownership of working animals on poverty alleviation. Specifically, a poverty index is developed based on asset ownership and income from different sources including forest and off farm income. Then, this index is regressed on ownership of working animals and other important socio-economic determinants to provide evidence of the role of draught animals in poverty alleviation. Additional discussion also addresses the issues of constraints to the optimal contribution of working animals to the livelihoods and strategies to further improve the role of these working animals are highlighted | S. Mburu, L. Zaibet, Abdou Fall, Nicholas N. Ndiwa, 'The role of working animals in the livelihoods of rural communities in West Africa', Livestock Research for Rural Development, 2012

The management of indigenous pigs in rural villages of Busia and Kakamega district, Western Kenya, is discussed. Data on husbandry practices, challenges and farmers knowledge on T. solium taeniosis / cysticercosis were gathered using questionnaires administered in face-to-face interviews. Pigs were examined for cysticercosis using the lingual palpation method. Data were managed in Stata®. Majority of the farmers were aged 30-50 years (44%), and were mostly women (69%). Years of pig keeping experience was higher in Kakamega (11.4±8.7) than it was in Busia (6.3±5.6) (P<0.05). Pork (31%) and beef (51%) were the most preferred meat types in the villages. Families owned an average of 0.94±0.81 hectares of land. The mean number of pigs owned per farm was 5.0 (±3.4), 1.8 (±1.2) and 1.5 (±0.9) for the pre-weaned, growing and adult pig categories, respectively. Constraints faced by the farmers included feeding (65%), diseases (46%), fewer breeding boars (60 %), poor profits (61%) and conflicts with neighbours (53%). Parasite control was poor. The majority of farmers (73%) had no pig house. These farmers either lacked skills to build the houses (11%; 23/209) or had no money to purchase construction materials (45%; 93/209). Tethering of pigs was frequent (>50%) during the planting (91%; 263 / 290), growing (90%; 263 / 290) and crop harvesting seasons (78%; 227 / 290). Prevalence of pig cysticercosis was 4.5%. Piglets were significantly cheaper in Busia (Ksh 509±57) than in Kakamega (Ksh 777±174) (P<0.05). Indigenous pig management in Western Kenya is reportedly poor. Improved knowledge coupled with changes in local husbandry practices would improve productivity, increase family incomes and safeguard the community from potential health risks associated with pig rearing.

F.K. Mutua et al., 'Indigenous pig management practices in rural villages of Western Kenya', Livestock Research for Rural Development, 2011 | The management of indigenous pigs in rural villages of Busia and Kakamega district, Western Kenya, is discussed. Data on husbandry practices, challenges and farmers knowledge on T. solium taeniosis / cysticercosis were gathered using questionnaires administered in face-to-face interviews. Pigs were examined for cysticercosis using the lingual palpation method. Data were managed in Stata®. Majority of the farmers were aged 30-50 years (44%), and were mostly women (69%). Years of pig keeping experience was higher in Kakamega (11.4±8.7) than it was in Busia (6.3±5.6) (P50%) during the planting (91%; 263 / 290), growing (90%; 263 / 290) and crop harvesting seasons (78%; 227 / 290). Prevalence of pig cysticercosis was 4.5%. Piglets were significantly cheaper in Busia (Ksh 509±57) than in Kakamega (Ksh 777±174) (P<0.05). Indigenous pig management in Western Kenya is reportedly poor. Improved knowledge coupled with changes in local husbandry practices would improve productivity, increase family incomes and safeguard the community from potential health risks associated with pig rearing

Dairy production is a major contributor towards national economies and household food security and incomes in sub-Saharan Africa (SSA). Milk production in the region is estimated at 1.27 million metric tonnes year-1. However, this level of milk production is inadequate for the existing human population who would require 103 million metric tonnes year-1. In Uganda, milk production only meets approximately 20% of the population's nutritional requirements. As such, methods need to be sought to increase milk production in the region. Research efforts have made strides in identifying the causes of the production-demand gap in the SSA region and a spectrum of interventions to bolster the productivity. Unfortunately, these efforts have by far yielded insignificant results. First and foremost, for exploiting the full potential of the dairy cattle population in the region, among the critical elements often overlooked in research and development processes is the recognition of systematic parametric variations within the sector, which if considered could provide entry-points for targeting intervention efforts. One such high potential entry-point is the recognition of the existence of a dairy intensification "vector" across a country or region, along which exist sections with sequentially marked nuclei of fairly uniform socio-economic and biophysical dairy sub-systems features. To enhance the process of targeting research and development in the Ugandan dairy sector, dairy production systems in the country were categorised on basis of level of intensification of production. Data were collected from 300 households in Mbarara, Masaka and Jinja districts in Uganda. The major variables derived from the data for the categorisation process were those related with milk production, expenditure, income, land area and cattle herds. The data was subjected to a cluster analysis which although produced 16 groups only five had prominent membership (above 5% of the farms). The five major clusters were selected as representative of the dairy production systems. A ranking system was used to develop an intensification continuum for the 5 systems. Herding-on own and communal land (cluster 9) was the least intensive, this was followed by Herding-mainly on own land (cluster 12) and Fenced (cluster 8) respectively. Semi-Zero Grazing (cluster 15) and Zero Grazing (cluster 13) were the most intensive dairy production systems with the latter being at the highest end of the continuum.

S.L. Mubiru et al., 'Categorisation of dairy production systems: A strategy for targeting meaningful development of the systems in Uganda', Livestock Research for Rural Development, 2011 | Dairy production is a major contributor towards national economies and household food security and incomes in sub-Saharan Africa (SSA). Milk production in the region is estimated at 1.27 million metric tonnes year-1. However, this level of milk production is inadequate for the existing human population who would require 103 million metric tonnes year-1. In Uganda, milk production only meets approximately 20% of the population's nutritional requirements. As such, methods need to be sought to increase milk production in the region. Research efforts have made strides in identifying the causes of the production-demand gap in the SSA region and a spectrum of interventions to bolster the productivity. Unfortunately, these efforts have by far yielded insignificant results. First and foremost, for exploiting the full potential of the dairy cattle population in the region, among the critical elements often overlooked in research and development processes is the recognition of systematic parametric variations within the sector, which if considered could provide entry-points for targeting intervention efforts. One such high potential entry-point is the recognition of the existence of a dairy intensification "vector" across a country or region, along which exist sections with sequentially marked nuclei of fairly uniform socio-economic and biophysical dairy sub-systems features. To enhance the process of targeting research and development in the Ugandan dairy sector, dairy production systems in the country were categorised on basis of level of intensification of production. Data were collected from 300 households in Mbarara, Masaka and Jinja districts in Uganda. The major variables derived from the data for the categorisation process were those related with milk production, expenditure, income, land area and cattle herds. The data was subjected to a cluster analysis which although produced 16 groups only five had prominent membership (above 5% of the farms). The five major clusters were selected as representative of the dairy production systems. A ranking system was used to develop an intensification continuum for the 5 systems. Herding-on own and communal land (cluster 9) was the least intensive, this was followed by Herding-mainly on own land (cluster 12) and Fenced (cluster 8) respectively. Semi-Zero Grazing (cluster 15) and Zero Grazing (cluster 13) were the most intensive dairy production systems with the latter being at the highest end of the continuum

Dairy production is a major contributor towards national economies and household food security and incomes in sub-Saharan Africa (SSA). Milk production in the region is estimated at 1.27 million metric tonnes year-1. However, this level of milk production is inadequate for the existing human population who would require 103 million metric tonnes year-1. In Uganda, milk production only meets approximately 20% of the population's nutritional requirements. As such, methods need to be sought to increase milk production in the region. Research efforts have made strides in identifying the causes of the production-demand gap in the SSA region and a spectrum of interventions to bolster the productivity. Unfortunately, these efforts have by far yielded insignificant results. First and foremost, for exploiting the full potential of the dairy cattle population in the region, among the critical elements often overlooked in research and development processes is the recognition of systematic parametric variations within the sector, which if considered could provide entry-points for targeting intervention efforts. One such high potential entry-point is the recognition of the existence of a dairy intensification "vector" across a country or region, along which exist sections with sequentially marked nuclei of fairly uniform socio-economic and biophysical dairy sub-systems features. To enhance the process of targeting research and development in the Ugandan dairy sector, dairy production systems in the country were categorised on basis of level of intensification of production. Data were collected from 300 households in Mbarara, Masaka and Jinja districts in Uganda. The major variables derived from the data for the categorisation process were those related with milk production, expenditure, income, land area and cattle herds. The data was subjected to a cluster analysis which although produced 16 groups only five had prominent membership (above 5% of the farms). The five major clusters were selected as representative of the dairy production systems. A ranking system was used to develop an intensification continuum for the 5 systems. Herding-on own and communal land (cluster 9) was the least intensive, this was followed by Herding-mainly on own land (cluster 12) and Fenced (cluster 8) respectively. Semi-Zero Grazing (cluster 15) and Zero Grazing (cluster 13) were the most intensive dairy production systems with the latter being at the highest end of the continuum.