{"title":"APPLICATION OF MULTIVARIATE ANALYSIS TO DIFFERENTIATE HARARGHE HIGHLAND GOAT POPULATIONS REARED IN THE WEST HARARGHE ZONE, ETHIOPIA","authors":"A. Takele, A. Melesse, Mestawet Taye","doi":"10.29393/chjaas37-23amam30023","DOIUrl":null,"url":null,"abstract":"Multivariate analysis of morphological variables has been successfully used to estimate genetic variation within and between local breeds. The objective of this study was to differentiate Hararghe highland goat populations based on their morphometric traits by applying multivariate analysis. Sixteen morphometric traits were collected from 450 goats reared in the three agroecological zones (highland, midland and lowland) of West Hararghe. Multivariate canonical discriminant analysis in combination with cluster and discriminant analysis was applied to identify the combination of variables that differentiate goats of the three agroecological zones. The results indicated that all the morphometric traits were significantly affected by age. The cluster analysis indicated that two main groups of midland goats were included in one group, while group two included highland and lowland goats under one sub-cluster. The canonical discriminant analysis identified two canonical variables (CAN) of which CAN1 and CAN2 accounted for 68.2 and 31.8% of the total variation, respectively. The quadratic discriminant analysis correctly assigned the respective 71.3, 77.3, and 81.3% of lowland, midland, and highland goat populations into their source populations, with an overall accuracy rate of 76.7%. The Mahalanobis distance verified that lowland and highland goats are the closest, while midland and highland goats were the furthest. However, the canonical discriminant analysis indicated a visible overlapping between goat populations of the three agroecological zones, indicating the existence of homogeneity among them. In conclusion, multivariate analysis identified 11 morphometric traits as the most imperative traits to differentiate Hararghe highland goat populations effectively. Genetic potentials of Hararghe highland goat populations can be improved through community-based breeding programs for their sustainable utilization and conservation.","PeriodicalId":42485,"journal":{"name":"Chilean Journal of Agricultural & Animal Sciences","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chilean Journal of Agricultural & Animal Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29393/chjaas37-23amam30023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Multivariate analysis of morphological variables has been successfully used to estimate genetic variation within and between local breeds. The objective of this study was to differentiate Hararghe highland goat populations based on their morphometric traits by applying multivariate analysis. Sixteen morphometric traits were collected from 450 goats reared in the three agroecological zones (highland, midland and lowland) of West Hararghe. Multivariate canonical discriminant analysis in combination with cluster and discriminant analysis was applied to identify the combination of variables that differentiate goats of the three agroecological zones. The results indicated that all the morphometric traits were significantly affected by age. The cluster analysis indicated that two main groups of midland goats were included in one group, while group two included highland and lowland goats under one sub-cluster. The canonical discriminant analysis identified two canonical variables (CAN) of which CAN1 and CAN2 accounted for 68.2 and 31.8% of the total variation, respectively. The quadratic discriminant analysis correctly assigned the respective 71.3, 77.3, and 81.3% of lowland, midland, and highland goat populations into their source populations, with an overall accuracy rate of 76.7%. The Mahalanobis distance verified that lowland and highland goats are the closest, while midland and highland goats were the furthest. However, the canonical discriminant analysis indicated a visible overlapping between goat populations of the three agroecological zones, indicating the existence of homogeneity among them. In conclusion, multivariate analysis identified 11 morphometric traits as the most imperative traits to differentiate Hararghe highland goat populations effectively. Genetic potentials of Hararghe highland goat populations can be improved through community-based breeding programs for their sustainable utilization and conservation.
期刊介绍:
Revista Chile de Agricultura y Ciencias Veterinarias es una revista de acceso abierto (open access), que significa que su contenido está disponible en forma gratuita para los usuarios y sus instituciones. Los usuarios pueden leer, descargar, copiar, distribuir, imprimir, buscar, o establecer una conexión a los artículos sin necesidad de pedir autorización previa al editor o a los autores. Esto es de acuerdo con la definición de Budapest Open Access Initiative (BOAI). Los artículos se publican bajo una licencia de Creative Commons reconocimiento No Comercial 4.0 Internacional. Copyright: Se autoriza la reproducción y cita de los artículos publicados en Chilean Journal of Agricultural & Animal Sciences (ex Agro-Ciencia), siempre que se indique el nombre del autor(es), año, volumen, número y páginas. Las opiniones y afirmaciones expuestas en los trabajos representan exclusivamente los puntos de vista de los autores. La mención de productos o marcas comerciales en la revista no implica una recomendación por parte de la Universidad de Concepción.