Genetic variability, heritability and genetic advance for yield and yield components in watermelon (Citrullus lanatus Thunb.)

• Autorzy: Anburani A. , Kannan P. , Muthumanickam K.
• Języki publikacji: EN

Abstrakty

EN

Field investigation was carried out to study the genetic variability, heritability and genetic advance and the variability studies showed significant differences among the thirty genotypes for all the thirteen characters. Yield per plant was maximum in CL 4 genotype collected from Atchirupakkam in Villupuram district. The characters viz., number of vines per plant, sex ratio, days to first female flowers, node number of first female flower, days to fruit maturity and number of fruits per plant were recorded the maximum in the same genotype. Genetic analysis indicated maximum phenotypic and genotypic coefficient of variation for single fruit weight and 100 seed weight. The characters viz., fruits diameter, flesh thickness, number of fruits per plant and yield per plant, recorded highest estimate of PCV and moderate estimation of GCV. The characters viz., number of seeds per fruits, flesh thickness, number of primary branches and fruit diameter recorded moderate estimate of PCV and GCV. Lower estimation of GCV was observed for sex ratio, fruit length and number of male and female flowers. High heritability (broad sense) was observed for 100 seed weight, number of seeds per fruit, single fruit weight, vine length, fruit diameter, fruit length, flesh thickness, number of male flowers,sex ratio, yield per plant, number of primary branches per plant, number of female flowers and number of fruits per plant. Based on mean performance, CL 4 followed by CL 22 and CL 10 were selected as the best genotypes in watermelon for the costal ecosystem, by virtue of their higher yield combined with desirable component characters.

• Wydawca: -
• Czasopismo: World News of Natural Sciences
• Rocznik: 2019
• Tom: 25
• Opis fizyczny: p.22-30,fig.,ref.

Twórcy

autor

Anburani A.

• Department of Horticulture, Faculty of Agriculture, Annamalai University, Annamalainagar - 608 002, Tamil Nadu, India

autor

Kannan P.

• Department of Horticulture, Faculty of Agriculture, Annamalai University, Annamalainagar - 608 002, Tamil Nadu, India

autor

Muthumanickam K.

• Department of Horticulture, Faculty of Agriculture, Annamalai University, Annamalainagar - 608 002, Tamil Nadu, India

Bibliografia

• [1] Goreta, S., S. Perica, G. Dumicic, L. Bucan and K. Zanic. 2005. Growth and yield of watermelon on polyethylene mulch with different spacing and nitrogen rates. American J. Hort. Sci. 40(2): 366-369
• [2] Indiresh, B.T. 1982. Studies on genotypic variability in bitter gourd (Momordica charantia L.) M.Sc. (Agri.) Thesis abstr. 8(1): Univ. Agri. Sci. Bangalore.
• [3] Johnson, H.W., H.F. Robinson and R.F. Comstock. 1955. Estimates of genetic and environmental variability in soyabean. Agron. J. 47: 314-318
• [4] Lalta Prasad, N.C. Gautam and S.P. Singh. 1998. Studies on genetic variability and character association in water melon (Citrullus lanatus (Thunb) Mansf). Veg. Sci. 15(1): 86-94
• [5] Lush, J.L. 1940. Intra-Sire correlation on regression off spring on dams as a method of estimating heritability of characters. Proceedings of American Society Animal production, 33: 292-301
• [6] Mohamad T. Yuosif, Tamadur M. Elamin, Al Fadil M. Baraka, Ali A. Jack, Elamin A.Ahmed. 2011. Variability and correlation among morphological, vegetative, fruit and yield parameters of snake melon (Cucumis melo var. flexuosus). Cucurbit Genetics Cooperative Report 33-35: 32-35
• [7] Vishwa Nath Verma. Elemental analysis of Citrullus colocynthis (L.) using atomic absorption spectrometer. World Scientific News 95 (2018) 64-74
• [8] Rukam, S. Tomar, G.U. Kulkarni, D.K. Kakase, A.D. Patel and R.R.Acharya. 2008. Genetic variability, heritability, correlation and path analysis in muskmelon (Cucumis melo L.) Asian J. Hort. 3(1): 158-161.
• [9] Snedecor, G.W. and W.G. Cochran. 1967. Variability analysis in statistical methods. Oxford and IBH publishing Co., Bombay. Pp. 560-564.
• [10] Sriramamurthy, N. 2000. Genetic variability and correlation studies in cucumber (Cucumis sativas L.). M. Sc., (Ag.) Thesis, Annamalai University, Annamalai Nagar.
• [11] Tomer, R.S., G.U. Kulkarni, D.K. Kakade, A.D. patel and R.R. Acharya. 2008. Genetic variability, correlation and path analysis in musk melon (Cucumis melo L.). Asian J. Hortic. 3(1): 158-161
• [12] Torkadi. S.S., A.M. Musmade and K.K. Mangave. 2007. Genetic variability studies in muskmelon (Cucumis melo L.). J. Soils Crop. 17(2): 308-311
• [13] Shaogui Guo et al., The draft genome of watermelon (Citrullus lanatus) and resequencing of 20 diverse accessions. Nature Genetics volume 45, pages 51–58 (2013)
• [14] Collins, J.K. et al. Watermelon consumption increases plasma arginine concentrations in adults. Nutrition 23, 261-266 (2007).
• [15] Ren, Y. et al. A high resolution genetic map anchoring scaffolds of the sequenced watermelon genome. PLoS ONE 7, e29453 (2012).
• [16] Xia Lu, Yawo Mawunyo Nevame Adedze, Gilbert Nchongboh Chofong, Mamadou Gandeka, Zhijun Deng, Luhua Teng, Xuelai Zhang, Gang Sun, Longting Si, Wenhu Li. Identification of high-efficiency SSR markers for assessing watermelon genetic purity. Journal of Genetics, 2018, 97 (5), 1295-1306
• [17] Dane F, Lang P, Bakhtiyarova R (2004) Comparative analysis of chloroplast DNA variability in wild and cultivated Citrullus species. Theor Appl Genet 108: 958-966
• [18] Dane, F. & Liu, J. Diversity and origin of cultivated and citron type watermelon (Citrullus lanatus). Genetic Resources and Crop Evolution September 2007, Volume 54, Issue 6, pp 1255-1265