Title of article :
Canonical Analysis for Assessment of Genetic Diversity of Three Indigenous Chicken Ecotypes in North Gondar Zone, Ethiopia
Author/Authors :
Getu، a نويسنده 1 Ebinat District Agricultural Development Office, Amahara, Ethiopia , , Alemayehu، k نويسنده 2 Department of Animal Production and Technology, Bahir Dar University, College of Agriculture and Environmental Science, Bihar Dar, Ethiopia , , Wuletaw، z نويسنده 3 Sustainable Land Management Organization, Bihar Dar, Ethiopia ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2014
Pages :
6
From page :
871
To page :
876
Abstract :
Rapid exploratory field survey, to identify indigenous chicken ecotypes was conducted in north Gondar zone of Ethiopia. Chicken ecotypes including Necked neck, Gasgie and Gugut from Quara, Alefa and Tache Armacheho districts were identified, respectively. Morphological variations among the three study popula-tions and nine measurable traits were evaluated. General linear model, canonical discriminate and stepwise analyses were applied for assessing variability among the study populations. Necked neck and Gasgie eco-types were heavier and had wider linear traits than the rest, while most of the study traits for the Gugut eco-type were the lowest. The most important variables for discriminating between the three populations were shank length, keel length, wingspan and beak length with canonical discriminant function score of 0.897, 0.752, 0.449 and 0.433, respectively. The greatest distance value was between Gasgie and Necked neck ecotype while the least one was between Gugut and Necked neck. The discriminate analysis therefore classi-fied the three populations to be distinct clusters. The morphological traits studied have proved to be useful in genetic characterization of indigenous chickens and can thus be useful in developing strategies for con-servation of the genetic diversity.
Journal title :
Iranian Journal of Applied Animal Science
Serial Year :
2014
Journal title :
Iranian Journal of Applied Animal Science
Record number :
1814186
Link To Document :
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