Application of multivariate analysis in quantifying size and morphological traits of local chicken in central zone of Tigray
Keywords:Cluster, Discriminant, Principal component analysis, Quantitative traits
The study was conducted in three districts of central zone of Tigray, with the aim, to assess the magnitude of genetic diversity and interdependence of morphological traits in varieties of indigenous chickens, an experiment was conducted using a total of 375 sexually matured randomly-selected female individuals’ chickens. from 375 females were used with the weighting method of standardization. A total of 19 morphological measurable traits variables data was collected from selected locations in midland and highland chickens and were analyzed using Principal Component Analysis (PCA) procedure, discriminant analysis and cluster analysis. The PCA showed that five principal components’ (PC) were extracted that accounted for 58.45% of the total variation. The first three principal components accounted for 47.24% of the total variation. The differentiation of the highland and midland chicken ecotypes populations was based on the weights of neck length, beak length, body length, wattle width, body weight, wattle length and height at back traits. Cluster analysis revealed that the pair wise squared Mahalanobis’ distances between populations’ shows smallest (3.00) and largest distances (29.01) between midland and highland chicken ecotypes, respectively This indicated that midland chicken share some phenotypic characters with other chicken types as a result farmers of these midland agro ecology often exchange cock/hen through different means with the fact that there existed genetic migration from one district to the next district chicken populations and gene flow is unregulated while the largest distance between highland chicken ecotypes indicates that higher heterogeneity within the breed type.
Abdelqader, A., Wollny, C.B., Gauly, M., 2007. Characterization of local chicken production systems and their potential under different levels of management practices in Jordan. Trop. Anim. Health Prod., 39(3), 155-164.
Adebambo, O.A., 2004. Animal genetics and the quality of life. Proceedings of the 29th Annual Conference of the Genetics Society of Nigeria, 11–14 Oct. Abeokuta, Nigeria, 42-53.
Aklilu, H.M., 2007. Village poultry in Ethiopia; socio-technical analysis and learning with farmers. Ph.D. Thesis Wageningen University, Wageningen, Netherlands.
Besbes, B., 2009. Genotype evaluation and breeding of poultry for performance under suboptimal village conditions. World Poult. Sci. J., 65, 260-27.
EARO (Ethiopian Agricultural Research Organization), 2000. Summary of Livestock Research Strategies. Animal Science Directorate, EARO. Addis Ababa, Ethiopia. 73p.
Everitt, B.S., Landau, S., Leese, M., 2001. Cluster Analysis, 4th ed, Arnold Publisher, London.
Gebremedhin Woldewahid, 2013. Processes, descriptions and potential commodity interventions in central zone of Tigray, Mekele, Ethiopia.
Groeneveld, L.F., Lenstra, J.A., Eding, H., Toro, M.A., Scherf, B., Pilling, D., Negrini, R., Finlay, E.K., Jianlin, H., Groeneveld, E., Weigend, S., GLOBALDIV Consortium, 2010. Genetic diversity of farm animals - a review. Anim. Genet., 41(Suppl 1), 6-31.
Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J., Fernandez, L., 2000. Temporal evolution of ground water composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water Res., 34(3), 807-816.
Lanari, M.R., Taddeo, H., Domingo, E., Centeno, M.P., Gallo, L., 2003. Phenotypic differentiation of exterior traits in local Criollo goat population in Patagonia (Argentina). Arch. Tierz. Dummerstorf, 46, 347-356.
Mengesha, M., Tamir, B., Tadelle, D., 2008. Socio-economical contribution and labor allocation of village chicken production of Jamma district, South Wollo, Ethiopia. Livest. Res. Rural Dev., 20(10).
Minitab, 1998. Minitab for Windows Release 12.21. Minitab Inc. USA.
National Meteorological Service Agency of Ethiopia, 1996. Climatic and Agro Climatic Resources of Ethiopia. Addis Ababa, Ethiopia. 1(1).
Pimental, R.A., 1979. Morph metrics: The multivariate analysis of biological data. Anim. Res., 38, 257-260.
Reddish, J.M., Lilburn, M.S., 2004. A comparison of growth and development patterns in diverse genotypes of broiler: 2. Pullet growth. Poult. Sci., 83, 1072-1076. Sc., 34, 1123-1134.
Rosario, M.F., Silva, M.A.N., Coelho, A.A.D., Savino, V.J.M., Dias, C.T.S., 2008. Canonical discriminant analysis applied to broiler chicken performance. Anim., 2, 419-429.
Shrestha, S., Kazama, F., Nakamura, T., 2008. Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong River. J. Hydroinform., 10(1), 43-56.
Sneath, P.H.A., Sokal, R.R., 1973. Numerical Taxonomy. W.H. Freeman and Company. San.
Soelkner, J., Nakimbugwe, H., Zarate, A.V., 1998. Analysis of determinants for success and failure of village breeding programmes. In: Proceedings of the Sixth World Congress on Genetics Applied to Livestock Production, Australia. 25, 273-280.
Tadelle, D., Kijora, C., Peters, K.J., 2003. Indigenous chicken ecotypes in Ethiopia: Growth and feed utilization potentials. Int. J. Poult. Sci., 2, 144-152.
Tunon, M.J., Gonzalez, P., Vallejo, M., 1989. Genetic relationships between 14 native Spanish breeds of goat. Anim. Genet., 20, 205-212.
Yakubu, A., Ibrahim, I.A., 2011. Mulitivariate analysis of morphostructural characteristics of Nigerian indigenous sheep. Ital. J. Anim. Sci., 10(2), 83-86.
Yakubu, A., Salako, A.E., Imumorin, I.G., 2010. Multivariate analysis of spatial patterns of morphological traits in West African Dwarf goats in three agro-ecological zones of Nigeria.
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