Study was undertaken to analyses the correlation co-efficient for twenty seven characters in twelve genotypes of gladiolus (Gladiolus hybridusHort.) grown atthe Instructional Farm, Department of Floriculture & Landscaping, College of Horticulture & Forestry, Jhalarapatan, Jhalawar. Spike length had highly positive association with rachis length (rg:0.92, rp:0.88), floret diameter (rg:0.94, rp:0.0.74), spike diameter (rg:0.66, rp:0.50), duration of flowering (rg:0.71, rp:0.42), number of florets per spike (rg:0.89, rp:0.84), number of cormels per plant (rg:0.69, rp:0.65), diameter of corm (rg:0.48, rp:0.41), weight of corm (rg:0.44, rp:0.40), weight of cormels per plant (rg:0.20, rp:0.19), size index of corms (rg:0.41, rp:0.38), florets remaining open at a time in vase (rg:0.56, rp:0.33). At both genotypic and phenotypic levels it had negative correlation with number of spikes per plot (rg:-0.56, rp:-0.48), number of corms per plant (rg:-0.72, rp:-0.50), number of corms per plot (rg:-0.60, rp:-0.54) and florets remaining unopened (rg:-0.39, rp:-0.37). It was observed that for most of the characters genotypic correlation coefficients were higher than phenotypic correlation coefficients.
Characters, Coefficient Analysis, Correlation, Genotypes, Gladiolus
Farhat, T. (2004). Plant characteristic and vase life of Gladiolus flowers as influenced by the preharvest and NPK application and postharvest chemical treatment. M.Sc. (Hons). Thesis, PMAS-AAUR
Fisher, R.A. and Yates, F. (1963).Statistical Tables for
Biological, Agricultural andMedical Research, 6th Edition, Oliver and Boyd, Limited, Edinburgh.
Gourishankarayya, M. L., Hegde, L., Reddy, B. S. and Mulge, R. (2005).Correlation and path coefficient analysis in African marigold (Tagetuserecta L.). Karnataka J. Hortic., 1(3): 22-27
Kumar P., Mourya, R., Kumar, R., Binayak, C., Mer, R. and Mishra, D. S. (2011).Genitic variability and correlation studies in gladiolus hybridus under tarai condition. J. Orna. Hortic., 4(2): 140-146
Kumar, R. and Kumar, S. (2010). correlation studies in snapdragon (Antirrhinum majus L.). J. Orna.
Lepcha, B., M. C. Nautiyal and Rao, V. K. (2007). Variability studies in gladiolus under mid hill conditions of
Uttarakhand. J. Orna. Hortic., 10(3): 169-172
Mandal, V.T. and Pradhan, S. (2013).Correlation and path coefficient analysis in tuberose. J. Crop Weed, 9: 44-49
Maurya, P.K., Binayak, R. K., Chakraborty, R. M. and Mishra, D. S. (2011).Genetic variability and correlation studies in gladiolus undertarai condition. Ann. Hortic., 4(2): 140-146
Nazir, M., Dwivedi, V. K. and Bhat, K.L. (2003). Correlation studies in gladiolus over different environments.
National Symposium on Recent Advances in Indian Floriculture, 12-14, P.280
Pattanaik, S., Paul, A.and Lenka, P. C. (2015). Genotypic and phenotypic variability and correlation studies in gladiolus. J. Crop Weed, 11(1):113-119
Ranchana, P., Kannan, M. and Jawaharlal, M. (2015). Assessment of Genetic and Correlation Studies in Single Types of Tuberose (Polianthes tuberosa) J. N.A.Ag.Sc. 33: 2.
Singh, D. and Kumar, S. (2008). Studies on genetic variability, heritability, genetic advance and correlation in
marigold. J. Orna. Hortic., 11(1): 27-31
Singh N., (2009). Evaluation of hybrids and parents of Antirrhinum under Tarai condition, M.Sc. Thesis,
Horticulture (Floriculture and Landscaping), G.B. Pant University of Agriculture and Technology, Pantnagar,104
Singh, R.K. and Chaudhary, B.D. (1979).Biometrical Methods in Quantitative Genetic Analysis, Kalyani Publications, Ludhiana. Singh,
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