Abstract:
The aim of this research was to generate information required to establish a sustainable breeding
program for improving the productivity o f locally adapted chickens to enhance the livelihood of
rural farmers in Ethiopia. The first step was to characterize village poultry production
environments and farmers' objectives for keeping chickens, and to identify factors affecting the
choice o f genetic stock used in villages. This was achieved by carrying out a questionnaire survey
and a participatory group discussion with village farmers in different geographic regions of
Ethiopia. The low input nature of village environments, the prevalence o f disease and predators,
and other factors such as the use o f chickens both as sources o f eggs and meat, and income
determined the choice o f chicken breed used by farmers, and thus, should be considered carefully
before initiating new breeding programs. The highest importance attached to adaptation traits and
the existence of particular preferences for chickens of certain plumage colours and comb shapes
were also found to have effects on developing new breeds for village systems.
The next part of the thesis focused on identifying important and unique gene pools in
local populations. This was achieved by characterizing the local chicken ecotypes both
morphologically and molecular genetically. This way the genetic difference between the local
populations and the level o f genetic diversity within the populations was determined. Attributes
important in breeding for tropical conditions such as the pea comb gene, and the naked neck gene
have been identified. It was also revealed that the variability found within a single population
could explain most o f the genetic diversity (97%) in Ethiopian chicken populations. The result of
this work is important both from conservation and utilization perspective and assists in
maintaining indigenous genetic diversity for current and future generations.
Finally, the pedigreed I lorro population that was kept on station was used for estimating
genetic parameters for the production traits, monthly and cumulative part period egg numbers and
growth to 16 weeks of age. Because the pedigreed population was established only recently, data
o f only 2 generations were available for estimating these genetic parameters. The results are
promising but inaccurate due to insufficient amount o f data. They would need to be re-estimated
when more generations have been produced and thus more data has been generated.