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Morpho-metric characterization and genetic variability studies in chrysanthemum

Published online by Cambridge University Press:  08 February 2022

Gunjeet Kumar*
Affiliation:
Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi, India
Varun M. Hiremath
Affiliation:
Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi, India
A. K. Tiwari
Affiliation:
Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi, India
Vanlalruati
Affiliation:
Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi, India
S. S. Sindhu
Affiliation:
Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi, India
*
Author for correspondence: Gunjeet Kumar, E-mail: [email protected]

Abstract

Germplasm characterization is essential to estimate variation and identify desirable genotypes for crop improvement. The current study was conducted on eight qualitative and 14 quantitative traits related to growth and floral attributes for characterization and grouping of 54 chrysanthemum genotypes. Wide variability was observed among most of the traits and principal component analysis revealed that the first two principal components explained most of the existing variation (>98%) in germplasm. Genotypic coefficient of variation exhibited a wide range from 9.41% (ratio of leaf length/width) to 105.99% (corolla tube length of ray florets), while phenotypic coefficient of variation varied from 10.49% (ratio of leaf length/width) to 106.38% (corolla tube length of ray florets). Broad sense heritability estimates were higher (>96%) for most of the characters, except for traits such as ratio of leaf length/width and peduncle thickness. Forty-four pair-wise inter-trait combinations showed positive genotypic and phenotypic correlations for 91 possible combinations. D2 analysis revealed that genotypes of clusters I and IV to be highly distinct, and hybridization between them might have better chance to obtain desirable types. D2 analysis confirmed that the cultivars in cluster IV namely, Red D Spoon, Tokyo Soldier, Yellow Reflex and hierarchical clustering showed that the cultivar Tokyo Soldier to be highly diverse. It is recommended to use the above genotypes in crossing programme for obtaining better progenies.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of NIAB

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References

Allard, RW (1999) Principles of Plant Breeding. New York: John Wiley & Sons.Google Scholar
APEDA (2015) Indian Production of Chrysanthemum. New Delhi: The Agricultural and Processed Food Products Export Development Authority. Available at https://agriexchange.apeda.gov.in/India%20Production/India_Productions.aspx?hscode=1029.Google Scholar
Baliyan, D, Sirohi, A, Kumar, M, Kumar, V, Malik, S, Sharma, S and Sharma, S (2014) Comparative genetic diversity analysis in chrysanthemum: a pilot study based on morpho-agronomic traits and ISSR markers. Scientia Horticulturae 167, 164168.CrossRefGoogle Scholar
Baskaran, V, Jayanthi, R, Janakiram, T and Abirami, K (2009) Studies on genetic variability, heritability and genetic advance in chrysanthemum. Journal of Horticultural Sciences 4, 174176.Google Scholar
Baye, T (2002) Genotypic and phenotypic variability in Vernonia galamensis germplasm collected from eastern Ethiopia. The Journal of Agricultural Science 139, 161.CrossRefGoogle Scholar
Chen, X, Sun, M, Liang, J, Xue, H and Zhang, Q (2013) Genetic diversity of species of chrysanthemum and related genera and groundcover cultivars assessed by amplified fragment length polymorphic markers. HortScience 48, 539546.CrossRefGoogle Scholar
Dai, SL, Wang, WK and Huang, JP (2002) Advances of researches on phylogeny of Dendranthema and origin of chrysanthemum. Journal of Beijing Forestry University 24, 230234.Google Scholar
Dai, SL, Song, XB, Deng, CY, Gao, K, Li, ML, Ma, CF and Zhang, MM (2019) Comprehensive approach and molecular tools for breeding and production of ornamental crops. Acta Horticulturae 1263, 116.CrossRefGoogle Scholar
Falconer, DS and Mackay, TF (1996) Introduction to Quantitative Genetics. Essex, UK: Benjamin Cummings.Google Scholar
Fehr, WR (1987) Principle of Cultivars Development, vol. 1. New York: Macmillan Publishing Company, pp. 1465.Google Scholar
Gao, K, Song, X, Kong, D and Dai, S (2020) Genetic analysis of leaf traits in small-flower chrysanthemum (Chrysanthemum × morifolium Ramat.). Agronomy 10, 697.CrossRefGoogle Scholar
Ghimiray, TS, Sarkar, I and Roy, A (2005) Variability studies in chrysanthemum grown over two environments. Research on Crops 6, 514.Google Scholar
Hodaei, M, Rahimmalek, M and Arzani, A (2017) Variation in morphological characters, chemical composition, and anthocyanin content of different Chrysanthemum × morifolium cultivars from Iran. Biochemical Systematics and Ecology 74, 110.CrossRefGoogle Scholar
Johnson, HW, Robinson, HF and Comstock, RE (1955) Genotypic and phenotypic correlations in soybeans and their implications in selection. Agronomy Journal 47, 477483.CrossRefGoogle Scholar
Kameswari, PL, Pratap, M, Anuradha, G and Begum, H (2014) Genetic divergence studies in chrysanthemum (Dendranthema grandiflora Tzvelev). Indian Journal of Scientific Research and Technology 2, 410.Google Scholar
Kumar, B, Prasad, P, Mehdi, J, Gupta, A, Shanker, K, Singh, M and Yadav, HK (2020) Morpho-metric and molecular characterization of Uraria picta (Jacq.) Desv. ex DC. – a medicinal plant. Journal of Applied Research on Medicinal and Aromatic Plants 16, 100242.CrossRefGoogle Scholar
Lim, JH, Shim, MS, Sim, SC, Oh, KH and Seo, JY (2014) Genetic variation of flower characteristics in a population derived from a cross between the chrysanthemum cultivars ‘Falcao’ and ‘Frill Green’. Horticulture, Environment and Biotechnology 55, 322328.CrossRefGoogle Scholar
Madhumathi, C, Bhargav, V, Reddy, DS, Kameshwari, PL, Sreedhar, D and Lakshmi, TN (2018) Assessment of chrysanthemum (Chrysanthemum morifolium Ramat.) germplasm for commercial cultivation under Rayalaseema region of Andhra Pradesh. Journal of Applied Horticulture 20, 213218.CrossRefGoogle Scholar
Mahalanobis, PC (1936) On generalized distance in statistics. Proceedings of the National Institute of Science 2, 4955.Google Scholar
Martín, C and González-Benito, ME (2005) Survival and genetic stability of Dendranthema grandiflora Tzvelev. shoot apices after cryopreservation by vitrification and encapsulation-dehydration. Cryobiology 51, 281289.CrossRefGoogle ScholarPubMed
Negi, R, Dhiman, SR and Dhiman, MR (2020) Assessment of genetic variability, heritability and genetic advance of newly evolved genotype of chrysanthemum (Dendranthema grandiflora Tzeleve) for cut flower production. International Journal of Current Microbiology and Applied Science 9, 25332536.CrossRefGoogle Scholar
Panse, VG and Sukhatme, PV (1967) Statistical Methods for Agricultural Workers. New Delhi: Indian Council of Agricultural Research, p. 381.Google Scholar
Prakash, A, Kumar, M, Naresh, RK, Malik, S, Singh, MK and Kumar, V (2017) Divergence studies in chrysanthemum (Dendranthema grandiflora Tzeleve) based on agro-morphic traits. International Journal of Pure and Applied Biosciences 5, 982988.Google Scholar
Qu, CM, Zhang, JC, Lv, XQ, Chen, JY and Chen, RD (2012) The quantity analysis on phenotypic traits of chrysanthemum germplasm. Acta Horticulturae 977, 205212.Google Scholar
Rao, CR (1952) Advance Statistical Methods in Biometric Research. New York, USA: John Willey & Sons.Google Scholar
Roein, Z, Asil, MH, Sabouri, A and Dadras, AR (2014) Genetic structure of chrysanthemum genotypes from Iran assessed by AFLP markers and phenotypic traits. Plant Systematics and Evolution 300, 493503.CrossRefGoogle Scholar
Saxena, M, Bhattacharya, S and Malhotra, SK (2015) Overview: crop-wise area and production of horticultural crops, 2012–13 to 2014–15. In Horticulture Statistics at a Glance 2015. New Delhi: NHB, Ministry of Agriculture & Farmers Welfare, GOI, Oxford University Press, p. 17.Google Scholar
Shim, SI, Lim, KB, Kim, CK, Chung, MY, Kim, KM and Chung, JD (2016) Morphological characteristics, and coefficient of variation, heritability and genetic advance of major cultivars of spray chrysanthemum. Horticultural Science and Technology 34, 269281.Google Scholar
Spaargaren, J and van Geest, G (2018) Chrysanthemum. In Van Huylenbroeck, J (ed.), Ornamental Crops. Handbook of Plant Breeding, vol. 11. Switzerland: Springer, Cham, pp. 319348.CrossRefGoogle Scholar
Telem, RS, Sadhukhan, R, Sarkar, HK, Akoijam, R, Haribhushan, A and Wani, SH (2017) Genetic studies for flower yield and component traits in Chrysanthemum morifolium Ramat. Journal of Applied Natural Science 9, 211214.CrossRefGoogle Scholar
Yang, X, Ao, N, Qu, Y, Wu, Y, Su, J, Ding, L, Chen, S, Jiang, J, Guan, Z, Chen, F and Fang, W (2020) Genetic characterization of anemone-type chrysanthemum (Chrysanthemum × morifolium) using floral morphology and SRAP markers. Plant Breeding 39, 419427.CrossRefGoogle Scholar
Zhen, LP, Yang, J and Yu, NJ (2013) Study on the characteristics of the lower leaf surface of wild chrysanthemum plants in Anhui. Chinese Journal of Plant Science 31, 99106.CrossRefGoogle Scholar
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