Multivariate analysis in sorghum (Sorghum bicolor) germplasm for yield contributing quantitative traits
Multivariate analyses was carried out for 13 yield-contributing quantitative traits observed in 102 sorghum germplasm accessions evaluated at Department of Millets, TNAU, Coimbatore during Summer, 2021. The Euclidean distances obtained were subjected to Ward clustering algorithm which grouped the genotypes into eight clusters. The clusters VI and VII were observed as the largest and cluster VIII was the smallest. Clusters II and VIII were found to possess elite germplasm with superior traits namely, flag leaf length, flag leaf breadth, flag leaf area, number of leaves, 100-seed weight and grain yield per plant. Principal component analysis revealed that yield contributing traits were separated into 13 principal components of which four components had eigen values more than one. Seventy-three percentage of total variation was observed in the first four principal components. This suggests that the first principal component is the major contributor to the total variation in the population. Traits viz., plant height, days to 50% flowering, stem diameter, flag leaf length, flag leaf breadth, flag leaf area , number of leaves, leaf length, leaf breadth and days to maturity contributed for maximum of 34 % variation in the PC1 with 4.45 eigen value. Divergence of second PC was mainly contributed by plant height, days to 50% flowering, leaf length, panicle length and days to maturity. Eigen value for PC2 was 2.63 and contributed about 20% of total variation. Contribution of divergence by PC3 was observed to be 10% with eigen value of 1.31. Traits responsible for variation in PC3 were leaf length, leaf breadth, days to maturity and hundred seed weight. Total variation contributed by PC4 was 9% and had 1.13 eigen value. Major variation contributing traits in PC4 were flag leaf length, flag leaf breadth and flag leaf area. Results of this study revealed the presence of variability for all the traits under study and identified accessions from clusters II and VIII as elite sources for trait specific improvement.
Keywords: Sorghum, genetic diversity, clustering, PCA, Euclidean distance
Multivariate analysis in sorghum Sorghum bicolor germplasm for yield contributing quantitative traits. 2023. Electronic Journal of Plant Breeding, 14 3, 1191-1197. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4285
It is certified that:
- The corresponding author is fully responsible for any disputes arising due to the publication of his/her manuscript.
- The article has been seen by all the authors who are satisfied with its form and content.
- The sequence of names of authors in the by-line is as per their relative contribution to this experiment, giving due credit to all scientists who made notable contribution to it.
- All the authors fully understand that inclusion of any other co-authors or exclusion of any co-authors is not possible once the article has been submitted to the journal.
- The corresponding author takes full responsibility for this article.
- The address of the organization where the research was conducted is given.
- The article is exclusive for this journal, and the results reported here have not been sent (and will not be sent during its consideration by this journal) for publication in any other journal.
- Authors agree to abide by the objective comments of referees and do agree to modify the article into a short note as per the recommendation, for publication in the Electronic Journal of Plant Breeding.
- If published in Electronic Journal of Plant Breeding, the copyright of this article would vest with the Indian Society of Plant Breeders, who will have the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in it, and neither we nor our legal heirs will have any claims on royalty.