Multivariate Studies for Fruits Yield and Quality Components in Diverse Tomato (Lycopersicon Esculentum MILL) Genotypes
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- Clusters, Genetic Diversity, Genetic Divergence, Multivariate Analysis, Principal Component Analysis
- Tsagaye, Dasta; Gedebo, Andargachew; Aklilu, Shimelis
- The objective the study was to estimate genetic diversity among tomato genotypes. Thirty six tomato genotypes were evaluated at Melkassa and Kulumsa Agricultural Research Centers South Eastern Ethiopia, during 2017/2018 in 6*6 simple lattice design. Cluster analysis was made by Wards method. Mahalanobis distance (D2) was used to estimate the genetic distance between pair of clusters. Based on ward clustering method the 36 tomato genotypes were grouped into six distinct clusters. Cluster III was the largest cluster which consisted of 13 genotypes (36.11%) followed by Cluster VI comprised of 7 genotypes (19.44%) while Cluster V had the lowest number of genotypes that comprises only one genotype (2.77%). Based on D2 analysis cluster III had minimum intra cluster distance (2.03714) followed by cluster VI (3.2752). The maximum intra cluster distances was found in cluster V (7.16704) followed by cluster II. Maximum inter cluster distance was between cluster V and III (1392) followed by cluster V and I (1390), cluster V and IV (1134). The cluster VI and III displayed the lowest degree of divergence (29.1). From the 18 principal components (equal number to the original variables) extracted, the first five PC’s with an Eigen value >1 accounted for 78.1 % and the first and the second PC’s accounted for 48.29.The study showed that there was sufficient genetic divergence between genotypes.
Full text: IJRAS_809_FINAL.pdf