Genetic divergence analysis in gladiolus (Gladiolus grandiflorus)
385 / 190
Keywords:
D2 analysis, GCV, Genetic advance, Heritability, PCVAbstract
The present investigation was carried out to assess the extent of genetic variability, heritability, genetic advance and genetic divergence using 33 gladiolus (Gladiolus grandiflorus Hort) genotypes with 16 characters. Moderate to high GCV and PCV were recorded for almost all the characters under study emphasizing the existence of variation in the population. All the characters (except number of days required for spike initiation, number of days required for first floret opening and number of florets/spike) showed high heritability along with higher/moderate genotypic coefficient of variation and genetic advance indicating that most likely the heritability was due to additive gene effects and the genotypes under study were highly diverse and of great potential with regard to these characters, and therefore, these are more reliable for effective phenotypic selection. The inter-cluster average D2 value was maximum (25.54) between cluster II and VI followed by between cluster V and cluster VI (24.36). The minimum inter cluster distance was obtained between cluster I and cluster III (12.34), indicated that genotypes of cluster I and cluster III are very close to each other. The clustering pattern showed that genotypes of different geographical areas were clubbed in one group and also the genotypes of same geographical area were grouped into same cluster as well as in different cluster indicating formal relationship between geographical diversity and genetic diversity.Downloads
References
Bichoo G A, Jhon A O and Wani S A. 2002. Genetic variability in some quantitative characters of gladiolus. Journal of Ornamental Horticulture 5: 22–4.
Burton G W. 1952. Quantitative inheritance in grasses. Proceedings of the Sixth International Grassland Congress, held at Peneesylvania state college, state college, Pa., August 17-23, 1: 277–83.
Burton G W and Devane E M. 1953. Estimating heritability in tall fescue (Festuaca cirunclinaceae) from replicated clonal-material. Agronomy Journal 45: 378–481. DOI: https://doi.org/10.2134/agronj1953.00021962004500100005x
Goldblatt P J, Manning C and Bernhardt P. 2001. Radiation of pollination systems in gladiolus (Iridacae:Crocoideae) in South Africa. Annals of the Missouri Botanic Garden 88: 713–34. DOI: https://doi.org/10.2307/3298641
Gomez K A and Gomez A A. 1983. Statistical Procedure for Agricultural Research, 2nd edn, pp 357-422. John Wiley and Sons, New York.
Hanson C H, Robinson H R and Comstock R S 1956. Biometrical studies of yield in segregating population of Korea Lespedeza. Agronomy Journal 48: 268–72. DOI: https://doi.org/10.2134/agronj1956.00021962004800060008x
Johnson H W, Robinson H F and Comstock R E. 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314–8. DOI: https://doi.org/10.2134/agronj1955.00021962004700070009x
Lepcha B, Nautiyal M C and Rao V K. 2007. Variability studies in gladiolus. Journal of Ornamental Horticulture 10(3): 169–72.
Mahalanobis P C. 1936. On the generalized distance in statistics. (In) Proceedings of National Academy of Science (Indian) 12: 49–55.
Negi S S, Sharma T V R S, Raghava S P S and Srinivasa V R. 1982. Variability studies in gladiolus. Indian Journal of Horiculture 39(3-4): 269–72.
Nimbalkar C A, Katawate S M, Singh B R, Kakade D S and Gaurav S B. 2007. Selection strategy for improvement in economic traits of gladiolus. Journal of Ornamental Horticulture 10(1): 9–14.
Patra S K and Mohanty C R. 2014. Variability studies in gladiolus. Asian Journal of Horticulture 9(2): 352–5. DOI: https://doi.org/10.15740/HAS/TAJH/9.2/352-355
Pattanaik S, Paul A and Lenka P C. 2015. Genotypic and phenotypic variability and correlation studies in gladiolus. Journal of Crop and Weed 11(1): 113–9.
Pragnyashree M, Singh A K and Singh O P. 2014. Genetic variability, genetic advance, correlation coefficient and path analysis in gladiolus. Journal of Agriculture and Veterinary Science 7(7): 23–6. DOI: https://doi.org/10.9790/2380-07722326
Pratap M and Rao A M. 2006. Assessment and variability studies in gladiolus. Journal of Ornamental Horticulture 9(2): 145–7.
Rao C R. 1952. Advanced Statistical Methods in Biometrical Research, edn I. John Wiley and Sons, New York.
Robinson H S, Comstock R E and Harvery V H. 1949. Estimates of heritability and degree of dominance in corn. Agronomy Journal 41: 353–9. DOI: https://doi.org/10.2134/agronj1949.00021962004100080005x
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2017 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.