A multivariate analysis of rice genetic resources
Zia-ul-Qamar (Nuclear Inst. for Agriculture and Biology, Faisalabad (Pakistan). Plant Breeding and Genetics Div.) | Akhtar, J. (Nuclear Inst. for Agriculture and Biology, Faisalabad (Pakistan). Plant Breeding and Genetics Div.) | Ashraf, M. (Nuclear Inst. for Agriculture and Biology, Faisalabad (Pakistan). Plant Breeding and Genetics Div.) | Akram, M. | Hameed, A.
Fifty rice genotypes originating from hybridization and induced mutagenesis along with some commercial varieties were subjected to diversity analysis for selection of desirable genotypes and subsequent use in the future breeding program. The data were analyzed by Principle Component Analysis (PCA) and Mahalanobis's generalized distance (D2 ). Two principal components presented 65% information of the raw data of the yield related traits. Cluster analysis (D2) exhibited six distinct clusters with the range of 2 genotypes in cluster VI to 13 in cluster I and III each. Regularly, inter-cluster distance was larger than the intra-cluster distance suggesting wider genetic diversity among the genotypes. Maximum intercluster distance was observed between cluster I and VI (79.81) followed by cluster I and V (71.90). The highest intra-cluster distance (14.41) was observed in cluster V where as lowest intra-cluster distance was observed in cluster VI (5.87). Relatively high yielding, short stature genotypes with less number of productive tillers per plant were grouped into cluster I and II to get the highest divergence of these from clusters V and VI. The genotypes in cluster I and II showed high intercluster distance with those in cluster IV, V and VI indicating the possibility to obtain heterotic progenies, by attempting the crosses, among the genotypes of these groups.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Research Centre
Découvrez la collection de ce fournisseur de données dans AGRIS