Multivariate analysis in parental lines and land races of pearl millet [Pennisetum glaucum (L.) R. Br.]
DOI: 10.37992/2022.1301.023
Abstract
Present investigation was carried out with 31 pearl millet genotypes containing R lines, B lines and land races at Department of Millets, Tamil Nadu Agricultural University, Coimbatore during kharif 2019 in order to assess the genetic diversity and to compare different methods of multivariate analysis. Mahalanobi’s D2 cluster analysis resulted in six clusters with the highest inter cluster distance observed between cluster V and cluster VI. Cluster mean showed that cluster III and cluster I genotypes played significant influence on yield and yield attributing characters. In agglomerative hierarchical cluster (AHC) analysis, the highest inter cluster distance was observed between cluster II and cluster VI. Cluster V and cluster I represented the highest cluster mean for yield and yield component traits. Principal component analysis (PCA) resulted four principal components with eigen values more than one explaining 73.2 per cent variability. The biplot revealed five clusters with cluster I am possessing maximum number of genotypes and positively associated to most of the traits. PT 6706, PT 6709, Nattu Cumbu, Cumbu 2, PT 6676 and PT 6067 were the top-ranking genotypes upon PCA analysis with positive PC1 scores. All three multivariate analyses revealed considerable divergence in the experimental material as well as a comparable type of clustering in the diversity of R line, B line and small seeded land races and hence can be used in future breeding programmes.
Keywords: Mahalanobis’ D2, Agglomerative hierarchical clustering, Principal component analysis, Pearl millet
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.