Open Access
Subscription Access
Open Access
Subscription Access
Analysis of Genetic Diversity in Gladiolus (Gladiolus hybridus) by Multivariate Analysis Under Sub-Tropical Conditions of Punjab (India)
Subscribe/Renew Journal
The present study was under taken to analyze the genetic diversity in fifty seven genotypes of gladiolus through multivariate analysis. The genotypes were grouped into five different clusters with highest inter cluster distance reported between IV and V and lowest between II and IV. The highest intra cluster distance was observed within cluster II and lowest within cluster V. Based on cluster means, the important cluster was observed to be cluster IV for leaf breadth, number of days taken to sprouting, heading, colour bud show and opening of first floret, stem, spike and rachis diameter, equatorial and polar diameter of corm and spike length and cluster III for leaf length, number of leaves per plant and durability of floret. Hence, selection of parents from clusters III and IV could be utilized for hybridization with parents of other clusters to achieve more improvement in vigour and yield. The results of principal component analysis showed that first 3 principal component axes explained 68.77 per cent of total variation in the germplasm. The greater part of this variation was loaded from equatorial and polar diameter of corm, days taken to opening of 1st floret and colour bud show, spike and stem diameter.
Keywords
Gladiolus, Genetic Diversity, Mahalanobis D2 Static, Principal Component Analysis.
Subscription
Login to verify subscription
User
Font Size
Information
- Bhajantri, A. and Patil, V.S. (2016). Genetic diversity analysis in gladiolus genotypes (Gladiolus hybridus Hort), J.Appl. & Nat. Sci., 8 (3) : 1416–1420.
- Chahal, G.S. and Gosal, S.S. (2002). Principles and procedures of plant breeding: Biotechnology and conventional approaches, Narosa Publishing House, New Delhi, India.
- Chakravorty, A., Ghosh, P.D. and Sahu, P.K. (2013). Multivariate analysis of phenotypic diversity of landraces of rice in west Bengal, American J. Exp. Agric., 3 (1) : 110-123.
- Gomez, K.A. and Gomez, A.A. (1984). Statistical procedures for agricultural research (2nd Ed.), John Wiley and Sons Inc., New York, U.S.A.
- Kumar, R. and Yadav, D.S. (2005). Evaluation of gladiolus cultivars under sub-tropical hills of Meghalaya, J. Ornamental Hort., 8 : 86-90.
- Kendall, M. (1980). Multivariate analysis (2nd Ed.), Charles Griffin and Co London, United Kingdom.
- Kovacic, Z. (1994). Multivariate analysis, Faculty of Economics, University of Belgrade (In Serbian), pp. 293.
- Mahalanobis, P.C. (1936). On the generalized distance in statistics, Proc. National Institute of Sciences of India, 2 (1): 49-55.
- Patra, S.K. and Mohanty, C.R. (2015). Genetic divergence study in gladiolus, J. Recent Adv. Agric., 3 (2) : 356-360.
- Rao, C.R, (1952). Advanced statistical methods in biometrics research, John Wiley and Sons, New York, U.S.A., pp. 357369.
- Rashmi, R., Chandrashekar, S.Y., Arulmani, N. and Geeta, S.V. (2016). Genetic divergence studies in gladiolus genotypes (Gladiolus hybridus L.). Res. Environ. Life Sci., 9 (3): 274-276.
- SAS Institute, SAS enterprise guide (Version 9.2), SAS Institute Cary North Carolina USA, 2011.
- Singh, S.K., Singh, R.S., Maurya, D.M. and Verma, O.P. (1987). Genetic divergence among lowland rice cultivars, Annual Report of Indian Agricultural Research Institute New Delhi, India.
- Swaroop, K. and Janakiram, T. (2010). Divergence studies in gladiolus, Indian J. Hort., 67 : 352-355.
Abstract Views: 452
PDF Views: 0