Genetic Variability Among the Novel Genotypes of Giloy (Tinospora cordifolia) for Yield and its Attributes
4 / 2
Keywords:
Fresh vine yield, Genetic variability, Giloy, Leaf length, Tinospora cordifolia, Vine lengthAbstract
A field experiment was conducted on 16 newly collected genotypes of giloy (Tinospora cordifolia) during 2020-21 and 2021-22 in a
Randomised Block Design (RBD). The results revealed the longest vine length in HTC-12, followed by HTC-11, HTC-14, HTC-10 and HTC2. The maximum vine girth was observed in HTC-15, followed by HTC-11, HTC-14, HTC-12 and HTC-5. The maximum number of
branches was found in HTC-14, followed by HTC-12 and HTC-11. The maximum number of leaves was found in HTC-2, followed by HTC12 and HTC-15. The maximum leaf length and width were observed in HTC-11, followed by HTC-12 and HTC-14. The highest fresh vine yield (kg/plant) was observed in HTC-12, followed by HTC-11, HTC-14, HTC-5, and HTC-15. The phenotypic and genotypic coefficients of variation were recorded as maximum for vine yield per plant (kg), followed by number of leaves, number of branches per plant, vine length, leaf width (cm), leaf length (cm) and vine girth (cm). The high genotypic coefficient of variation (GCV), accompanied by high heritability (H and high genetic advance as % of mean, reflects that simple selection will be operational for further improvement. bs) Vine length, vine yield, branches, and number of leaves were observed as major contributors to the first principal component, whereas leaf length, leaf width, and number of leaves were major contributors to the second one. Both components accounted for more than 90% of the variation in traits. Moreover, genotypes HTC-11, HTC-12, HTC-14, and HTC-3 accounted more of share in the first principal component. The novel genotypes HTC-12 and HTC-11were found highest in vine yield (kg/plant) and may be recommended for further testing in the multi-locations trials for the development of a new variety.
Downloads
References
Akhilraj BC, J Suresh, K Rajamani, M Kumar and R Gnanam (2023) Genetic variability, heritability, correlation and path analysis in seenthil kodi (Tinospora cordifolia). Electron. J. Plant Breed. 14(2): 655-664. https://doi.org/10.37992/2023.1402.071
Aiyer KN and M Kolammal (1963) Pharmacognosy of Ayurvedic st Drugs, Series 1, 1 edn. Trivandrum, The Central Research Institute, 63 p.
Arya RK, K Kumar, GK Koli and A Verma (2024b) Biplot analysis of kasni (Cichorium intybus L.) collections. Forage Res. 50(3): 258-266. http://forageresearch.in
Arya RK, V Kumar, PK Verma and P Kumar (2024a) Morphological characterization of lemongrass genotypes under semi-arid conditions of Haryana. Indian J. Plant Genet. Resour. 37(3): 433-438. DOI: 10.61949/0976-1926.2024.v37i03.04
Bharathi C, AH Reddy, G Nageswari, BS Lakshmi, M Soumya, DS Vanisri and B Venkatapp (2018) A review on medicinal properties of Tinospora cordifolia. Int. J. Sci. Res. Rev. 7(12): 585-598.
Boureıma S and A Yaou (2019) Genotype by yield × trait combination biplot approach to evaluate sesame genotypes on multiple traits basis. Turk J. Field Crops. 24(2): 237-244.
Devi B, A Singh, and RG Upadhyay (2015) Morphological variability in Giloya [Tinospora cordifolia (willd) Miers] under changing scenario of climate in north western Himalaya. Environment Conservation16(1&2): 133-137.
Fu YB (2015) Understanding crop genetic diversity under modern plant breeding. Theor. Appl. Genet. 128: 2131-2142.
Johnson HW, HF Robinson and RE Comstock (1955a) Estimates of genetic and environmental variability in soybeans. Agron J. 47(7): 314-318.
Johnson HW, HF Robinson and RE Comstock (1955b) Genotypic and phenotypic correlations in soybeans and their implications in selection. Agron J. 47(10): 477-483.
Koli GK, R Arya, S Nimbal, D Kumar and D Kumar (2021) Genetic improvement for immunity-boosting traits in medicinal plants. In: A Kumar and AS Jondhale (eds) Advances in Medicinal Sciences. Integrated Publications, New Delhi, pp 59-73.
Lade S, V Pande, T Rana and HK Yadav (2020) Estimation of genetic diversity and population structure in Tinospora cordifolia using SSR markers. 3 Biotech. 10: 310. https://doi.org/ 10.1007/s13205-020-02300-7
Lush JL (1940) Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. J. Anim. Sci. 1: 293-30.
Malik A, A Arya, V Kaushik and A Sindhu (2019) Studies on genetic variability of Tinospora cordifolia collected from different agroclimatic zones of Haryana using RAPD markers. Res. Crop20(2): 407-412.
Mubai N, J Sibiya, J Mwololo, C Musvosvi, H Charlie, W Munthali, L Kachulu and O Patrick (2020) Phenotypic correlation, path coefficient and multivariate analysis for yield and yield associated traits in groundnut accessions, Cogent Food & Agric.6: 1. 1823591.
Nasreen S, R Radha, N Jayshree, B Selvaraj and A Rajendran (2010) Assessment of quality of Tinospora cordifolia (willd) miers pharmacognostical and phyto-physicochemical profile. Int.J. Compr. Pharm. 1(5): 1-4.
Paliwal R, R Kumar, DR Choudhary, AK Singh, S Kumar, A Kumar, KC Bhatt, R Singh, AK Mahato, NK Singh and R Singh (2016) Development of genomic simple sequence repeats (g-SSR) markers in Tnospora cordifolia and their application in diversity analysis. Plant Gene 5: 118-125.
Purwati RD, TDA Anggraeni and M Machfud (2022) Genotype by yield × trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits. IOP Conf. Ser.: Earth Environ. Sci. 974.
Rana V, K Thakur, R Sood, V Sharma and TR Sharma (2012) Genetic diversity analysis of Tinospora cordifolia germplasm collected from north western Himalayan region of India. J. Genet. 91: 99-103.
Sadgir GL and P Shinde (2026). An overview of medicinal plant of Tinospora Cordifolia. Asian J. Pharm. Res. Dev. 14(1): 97-104. https://doi.org/10.22270/ajprd.v14i01.1706
Sharma A, A Gupta, S Singh and A Batra (2010) Tinospora cordifolia (Willd.) Hook. F. & Thomson-A plant with immense economic potential. J. Chem. Pharm. Res. 2(5): 327-333.
Singh BM, RK Mahajan, U Srivastava and SK Pareek (2003) Minimum descriptors of agri-horticultural crops. In: Part IV: Medicinal and Aromatic Plants. National Bureau of Plant Genetic Resources, New Delhi.
Sinha K, NP Mishra, J Singh and SPS Khanuja (2004) Tinospora cordifolia (Guduchi), a reservoir plant for therapeutic application. Indian J. Tradit. Knowl. 3(3): 257-270.
Sivasubramanian S and P Madhavamenon (1973) Genotypic and phenotypic variability in rice. Madras Agric. J. 60(9-12): 1093- 1096.
Srivastava A, AK Gupta, K Shanker, MM Gupta, R Mishra and RK Lal (2018) Genetic variability, associations and path analysis of chemical and morphological traits in Indian ginseng [Withania somnifera (L.) Dunal] for selection of higher yielding genotypes. J. Ginseng Res. 42(2): 158-164.
Talawade VKC, K Kumar, RK Arya and I Singh (2025) Studies on genetic divergence in tulsi (Ocimum spp.) under semi-arid conditions for the development of novel cultivars. Indian J. Plant Genet. Resour. 39(1): 41-47.
Tirtha SS (2007) The Ayurveda Encyclopedia: Natural Secrets to Healing, Prevention and Longevity. https://archive.org/details/the-ayurveda-encyclopedia-natural-secrets-tohealing-prevention-longevity
Verma A, RPS Verma, J Singh, L Kumar and GP Singh (2021) Performance of feed barley genotypes assessed by AMMI mixed with BLUP for the north-western plains zone of India. Ekin J. 7(2): 74-85.
Yan W and J Frégeau-Reid (2018) Genotype by yield × trait (GYT) biplot; a novel approach for genotype selection based on multiple traits. Sci. Rep. 8: 8242.
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2026 Indian Journal of Plant Genetic Resources

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors are required to submite copyright certificate in original.