Genetic variability, correlation and path analysis in ginger (Zingiber officinale Rosc.) genotypes

T. Anargha, G. S. Sreekala, Deepa S. Nair, Mareen Abraham


A study was conducted to assess the variability of ginger genotypes in the Western Ghat regions of Kerala. Twenty ginger genotypes were collected and raised in randomized block design with four replications in the College of Agriculture, Vellayani during May 2018 to January 2019. Morphological parameters like plant height, number of tillers, leaf length, leaf breadth, leaf area, rhizome spread, rhizome thickness, yield parameters like fresh and dry rhizome yield, and quality parameters like starch, crude fibre, essential oil, oleoresin and total phenol content were evaluated. Genetic variability, heritability, genetic advance, correlation, path analysis and selection index were also assessed. All the genotypes showed significant variation for the quantitative traits. The ginger genotypes evaluated revealed higher fresh rhizome yield for T11 (Kazhakootam) followed by T15 (Nedumkandam) which produced 65.27 and 20.87 percentage increase in fresh rhizome yield over control. T12 (Irinjalakkuda) genotype recorded higher quality parameters such as starch (6.5% increase) and oleoresin (140 % increase) over the control suggesting the suitability of the genotype for processing. Based on selection index, ranking was done and genotypes T11 (Kazhakootam), T12 (Irinjalakkuda) and T15 (Nedumkandam) were found superior. High genotypic and phenotypic coefficient of variation, heritability and genetic advance were observed for fresh rhizome yield, oleoresin, crude fibre, total phenol and essential oil. High heritability coupled with moderate genetic advance was noted for plant height, rhizome spread, starch and number of tillers. Genotypic correlation coefficients revealed that fresh rhizome yield was positively and significantly correlated with rhizome thickness, number of tillers, rhizome spread, plant height, leaf area, oleoresin and leaf length, while leaf area, number of tillers, rhizome spread, rhizome thickness and oleoresin had positive direct effect on yield. Hence, characters such as rhizome spread and number of tillers with high heritability coupled with moderate genetic advance, and oleoresin with high heritability and high genetic advance were found superior and these traits could be used for effective selection.

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Abraham, Z. and Latha, M. 2003. Correlation and path analysis in ginger (Zingiber officinale Rosc.). J. Spices. Aromat. Crops, 12 (2): 187-189.

Babu, S.M., Kumar, P.B., Swami, D.V., Krishna, U., Emmanuel, N. 2017. Quality of ginger (Zingiber officinale Rosc.) genotypes under shade net condition of coastal Andhra Pradesh. Int. J. Curr. Microbiol. App. Sci. 6 (7): 696-700.

Baliga, M.S., Latheef, L., Haniadka, R., Fazal, F., Chacko, J. and Arora, R. 2013. Ginger (Zingiber officinale Roscoe) in the treatment and prevention of arthritis. In: Preedy, R.R.W.R. (Ed.), Bioactive Food as Dietary Interventions for Arthritis and Related Inflammatory Diseases. Academic Press, San Diego, pp. 529–544.

Bilgin, O., Korkut, K.Z., Baser, I., Dalioglu, O., Ozturk, I., Kahraman, T. and Balkan, A. 2010. Variation and heritability for some semolina characteristics and grain yield and their relations in durum wheat (Triticum durum Desf.). World J. Agric. Sci. 6:301- 308.

Braga, F.W., Rezende, C.M., Octavio, A.C. and Pinto, C.A. 1998. Terpernoids from Copaiba cearensis. Phytochem. 1: 263–264.

Goudar, S.A., Hussain, M.S., Dodmani, S.M., Mahantesh, P.S. and Pujari, R. 2017. Evaluation of ginger (Zingiber officinale Rosc.) genotypes for growth and yield attributes. Int. J. Pure. Appl. Sci. 5(2): 994-999.

Hawkes, J.G. 1981. Germplasm collection, preservation and use. In Plant Breeding II. K. J. Frey, ed. Ames, lowa: the lowa State University Press, pp: 57-83.

Ibrahim, M.M. and Hussein, R.M. 2006. Variability, heritability and genetic advance in some genotypes of roselle (Hibiscus sabdariffa L.). World J. Agric. Sci. 2 (3): 340-345.

Islam, K.M., Islam, A.K.M.A., Rasul, M.G., Sultana, N. and Mian, M.A.K. 2008. Genetic variability and character association in ginger (Zingiber officinale Rosc.). Ann. Bangladesh Agric. 12(1): 21-26.

Johnson, H.W., Robinson, H.P. and Comstoc, R.E. 1955. Estimation of genetic and environmental variability in soybeans. Agron. J. 47: 314-318.

Joseph, A. 1992. Nutrient requirement of ginger (Zingiber officinale Rosc.) under shade. M.Sc.(Hort.) Thesis, Kerala Agricultural University, Vellanikkara, India, 106p.

Karthik, C.S., Pariari, A., Kumar, D.P., Chewangbhutia, K. and Venugopal, S. 2017. Genetic variability studies in ginger (Zingiber officinaler Rosc.) germplasm under gangetic alluvial plains of West Bengal. Bull. Env. Pharmacol. Life Sci. 6(3): 508-510.

KAU [ Kerala Agricultural University] 2016. Package of practices recommendations: Crops (15th Ed.) Kerala Agricultural University, Thrissur, 393 p.

Mehra, A. 2012. Variation and association studies in ginger (Zingiber officinale Rosc.). M.Sc. (Hort) thesis, College of Horticulture, Dr. Yashwant Singh Pamar University of Horticulture and Forestry, Nauni, Solan, 92p.

Nair, K.P. (2019). Production, marketing and economics of ginger. In: Turmeric (Curcuma longa L.) and Ginger (Zingiber officinale Rosc.)-World's Invaluable Medicinal Spices. Springer, pp. 493-507.

Nandkangre, H., Ouedraogo, M., Sawadogo, M., Bado, S., Sawadogo, N., Ouoba, A. and Konate, M.N. 2016. Morphometric and agronomic characterization of 56 ginger landraces in Burkina Faso. J. Appl. Biosci. 100(1): 9545-9556.

Nwangburuka, C.C., Denton, O.A., Kehinde, O.B., Ojo, D.K. and Popoola, A.R. 2012. Genetic variability and heritability in cultivated Okra (Abelmoschus esculentus (L.) Moench). Span. J. Agric. Res. 10:123- 129.

Pandey, G. and Dobhal, V.K. 1993. Genetic variability, character association and path analysis for yield components in ginger (Zingiber officinale Rosc.). J. Spices Aromat. Crops. 2(1-2): 16-20.

Panse, V.G. and Sukhatme, P.V. 1967. Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi, 361p.

Pruthy, J.S. 1993. Major Spices of India: Crop Management Post-Harvest Technology. Indian Council of Agricultural Research, New Delhi, pp. 244–288.

Purseglove, J.W., Brown, E.G., Green, C.L. and Robbins, S.R.J. 1981. Spices. Longman Group Ltd, USA, 813p.

Rai, S., Das, A.B. and Das, P. 2008. Studies on genetic advance, heritability and path coefficient analysis for yield in Indian ginger (Zingiber officinale Rosc.) cultivars. J. Hill Res. 21(1): 20-25.

Ravi, Y., Narayanpur, V.B., Hiremath, J.S., Saraswati, S.S. and Eragegowda, M. 2017. Correlation and path coefficient analysis in ginger (Zingiber officinale Rose.). Int. J. Curr. Microbiol. Appl. Sci. 6(4): 1224-1230.

Ravindran, P.N. and Nirmal, B.K. 2005. Ginger: the genus Zingiber. CRC press, Boca Raton 41: 203-206.

Ravishanker, S.K., Chatterjee, A., Baranwal, D.K. and Solankey, S.S. 2013. Genetic variability for yield and quality traits in ginger (Zingiber officinale Roscoe). The Bioscan 8(4): 1383-1386.

Sadasivam, S. and Manickam, A. 2008. Biochemical Methods. New Age International Publishers, New Delhi, 256p.

Sivasubramanian, S. and Madhavamenon, P. 1973. Genotypic and phenotypic variability in rice. Madras Agric. J. 60(9-12): 1093-1096.

Spices Board. 2018. Major spice wise area and production. [online] Available: /site /default /files/major spice wise area and production web 2018.pdf. Accessed 07 Jan 2019.

Zachariah, T.J. 2008. ginger. In: Parthasarathy, V.A., Chempakam, B. and Zachariah, T.J. eds., Chemistry of spices. CAB International, UK, 445p.


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