Đang chuẩn bị liên kết để tải về tài liệu:
Assessment of genetic diversity in thirty-five genotypes of oilseed brassica species using principal component analysis

The principal component and factor analyses of 35 genotypes of different Brassica species was carried for pooled data of two years 2015-16 and 2016-17. The PCA indicated that first four principal components showed eigen values more than one and explained more than 80% of total variability in pooled analysis. Based on Varimax Rotation all fourteen characters were grouped in eight principal factors and siliquae per plant, plant height, main shoot length and siliquae on main shoot were the major contributing traits which accounted for 69.33% of total variation of 82.46%. The hierarchical cluster analysis divided 35 genotypes into six clusters. The cluster IV appeared as the largest cluster containing maximum numbers of genotypes 23 under pooled analysis. The mean performance of different clusters revealed wide range of differences among clusters. The genotypes V20 (GPM-O-1 X PT-303), V16 (PL-58 X BN-11), V27 (GPM-O-58), V5 (NGM-17 X T-42) and V15 (PL-58 X BN-10) in cluster IV showed very good performance for seed & oil yield per plant. While genotypes V11 (T-42 X NGM-17), V10 (T-42 X GPM-O-58), V19 (T-42 X PL-58) and V33 (T-42) in cluster III, IV and V exhibited very good performance for oil content. | Assessment of genetic diversity in thirty-five genotypes of oilseed brassica species using principal component analysis