42 research outputs found

    Economic performance of small ruminants to smallholder farmers in Climate Smart Villages of Nyando

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    Small ruminant production forms an integral part of the livelihoods of smallholder farmers in Nyando. This paper is part of a study to evaluate the impacts of the small ruminants on the incomes of smallholder farmers adopting “Climate Smart” agricultural practices in the counties of Kericho and Kisumu in Nyando. A cross-sectional survey involving 162 households was conducted in 2018 to elicit information on farmer demographic characteristics, resource endowment, flock dynamics, and revenues from small ruminant production. Results from the analyses of the data collated showed that the small ruminants are an important source of revenue for the smallholder farmers. The number of animals owned varied depending on the size of the land owned. Farmers in Kericho tended to have larger land holdings than in Kisumu (p<0.01) with concurrently larger flock sizes. The farmers however did not have any information on the optimal number of animals that they should keep on their land. In both counties, better prices were received for larger mature animals than for immature animals. The farmers also tended to sell more female than male animals although they stated that the sale of animals was dependent on the availability of the animals and the anticipated returns. Information on the optimal number of animals to rear with specific resources available is needed for the farmers to be able to continually produce and market sheep and goats at a good price

    Sustainable small ruminant breeding program for climate-smart villages in Kenya

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    Improving productivity of sheep and goats (i.e. small ruminants- SR) under smallholder farming systems faced with challenges of unfavourable climatic events has been identified as one means of enhancing livelihoods of communities living in these areas. Interventions are targeted through clusters of farmers grouped into “climate smart villages” (CSV) under a collaborative action by CCAFS, ViAgroforestry, World Neighbours and the Kenya Agricultural and Livestock Research Organization. This baseline study was implemented to understand the socio-economic aspects, population structure, management practices and production constraints of SR in the CSV of the Lower Nyando basin of Kenya. The results indicate that the community is mainly comprised of young people (mainly students) and men and women above 50 years of age who manage the various households. Land sizes owned are small, with 58% of the households owning less than one hectare of land on which they grow crops and rear on average eight SR in addition to some cattle and poultry. The SR reared are mainly indigenous breeds, with some crossbreds resulting from the few introduced Red Maasai sheep and the Galla goats for improved productivity. Breeding of SR is not controlled, and since larger animals fetch better prices on the market, over time negative selection has affected the SR population. SR are generally left to graze on stovers from crops, and take a long time to grow to maturity (up to 4 years). Farmers in the CSV know what traits they desire in their SR, and are willing to learn and change their practices in order to improve their livelihoods. It is evident that the organization of the households into CSVs provides a great opportunity for capacity development which should have a strong component of engaging the youth, and the development of a selection and breed improvement program for SR in the Lower Nyando area

    System characteristics and management practices for small ruminant production in “Climate Smart Villages” of Kenya

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    The CGIAR research programme on Climate Change Agriculture and Food Security, in collaboration with several partners is testing a portfolio of interventions to address the threat of changing climatic conditions for smallholder farming communities living beside river flood plains, grouped into “Climate Smart Villages” (CSVs). We present characteristics of farms in CSV in relation to small ruminant (SR) production and the scenario for a breeding and improvement programme. Information was collated using participatory systems research methods from 140 households in seven CSVs in Nyando basin, Kenya. Although most households were headed by men, there were a higher proportion of adult women within the communities, and literacy levels were moderate. A total of 58 percent of the population owned <1 ha of land for growing crops and rearing on average 6.96 ± 3.35 Tropical Livestock Units comprising different species of animals. Women headed households owned more sheep which were mainly crosses of unspecified local breeds, than Goats which were mainly the Small East African breed-type. Mating among the SR was random, with no control of inbreeding as flocks mixed in grazing fields and at water points. Farmers desired large and resilient animals for better market prices; however, growth rates were slow. The SR flocks were dynamic with 31 percent of the animals moving in and out of flocks in a year. A community breeding programme optimally using available resources and incorporating gender integrated innovative technologies could be implemented for the CSV, alongside strong capacity development on animal husbandry, health and marketing of products

    Economic Performance of Small Ruminants on Smallholder Farms in Climate Smart Villages of Nyando

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    Small ruminant production forms an integral part of the livelihoods of smallholder farmers in Nyando. This paper is part of a study to evaluate the impacts of the small ruminants on the incomes of smallholder farmers adopting “Climate Smart” agricultural practices in the counties of Kericho and Kisumu in Nyando. A cross-sectional survey involving 162 households was conducted in 2018 to elicit information on farmer demographic characteristics, resource endowment, flock dynamics, and revenues from small ruminant production. Results from the analyses of the data collated showed that the small ruminants are an important source of revenue for the smallholder farmers. The number of animals owned varied depending on the size of the land owned. Farmers in Kericho tended to have larger land holdings than in Kisumu (p<0.01) with concurrently larger flock sizes. The farmers however did not have any information on the optimal number of animals that they should keep on their land. In both counties, better prices were received for larger mature animals than for immature animals. The farmers also tended to sell more female than male animals although they stated that the sale of animals was dependent on the availability of the animals and the anticipated returns. Information on the optimal number of animals to rear with specific resources available is needed for the farmers to be able to continually produce and market sheep and goats at a good price

    Breeding objectives for Red Maasai and Dorper sheep in Kenya—A participatory approach

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    The Red Maasai sheep breed is under threat due to indiscriminate crossbreeding and strategies are needed to conserve and improve the breed. The aim of this study was to understand farmers’ preferences for important traits of flocks of Red Maasai, Dorper and crosses in two different areas, Amboseli and Isinya, in Kenya. Farmers identified three ewes that represented the best, average, and poorest within its breed group of each farm and gave reasons for their ranking. The most important traits were body size and growth rate and thereafter milk yield. The Red Maasai was preferred for its better reproduction and tolerance against diseases and drought. In the harshest area, Amboseli, all breed groups had about the same body weight, whereas in Isinya, where conditions are better and farmers are more market oriented, Dorper and crosses had superior weights

    Innovative use of sheep and goats by women in climate smart villages in Kenya

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    The Nyando Basin in Kenya, a rich agricultural flood plain around Lake Victoria with a population density exceeding 400 persons per square kilometre, has been adversely affected by extreme weather events that include droughts and floods. Literacy levels are low. Land sizes are small, generally less than one hectare, and poverty rates are high. Through a partnership around collective action, seven villages have been selected to pilot climate smart integrated crop and livestock production. The approach focusses on improving local knowledge of climate risks, variability in seasonal rainfall, and targeted introduction of technologies to increase productivity of crops and livestock in order to enhance livelihoods. Given the household composition and differential access and control over resources by men and women in the communities a gendered approach was adapted for sheep and goat improvement. Men generally control practices around goats, while women have a greater say on sheep. Past uncontrolled breeding of sheep and goats, closed to introduction of animals from elsewhere has resulted in smaller sized animals that take long to mature, and do not fetch good market prices. The CGIAR led project thus introduced improved strains of resilient but more productive indigenous breeds of Gala goats and Red Maasai sheep for crossbreeding with the local breeds and has resulted in women taking a lead in community led breeding programmes resulting in crosses with better performance and desirable traits

    Sheep and goat marketing in Nyando Climate-Smart Villages of western Kenya: What do the farmers gain?

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    The Nyando Basin covering two counties of western Kenya, namely Kericho and Kisumu has been adversely affected by climate change. Prolonged droughts, followed by heavy and unpredictable rainfall that causes flooding has led to land denudation, crop and livestock losses (IPCC, 2007; Onyango et al., 2012; Kinyangi et al., 2015). To address the adverse effects of climate change, and improve incomes for smallholder farmers, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the International Livestock Research Institute (ILRI) introduced improved indigenous breeds of goats and sheep to farmers grouped into clusters within the Climate-Smart Villages (CSVs) (Ojango et al., 2016). The aim was to cross selected Galla goat and Red Maasai sheep with the small local East African breeds for resilience

    Mixed model analysis for the estimation of components of genetic variation in lamb weaning weight

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