##plugins.themes.bootstrap3.article.main##

N. Kaushik R. P. S. Deswal Suman Malik Krishan Kumar

Abstract

In this study, experiment was conducted on sandy loam soils poor in organic carbon and water holding capacity in southern Haryana, India to determine the best progenies of Jatropha curcas for bio-diesel production. Fifty progenies raised from seed sources collected from nine states of India were evaluated after five years of plantation for growth, seed and oil content traits. The progenies showed significant (P> 0.05) differences for all the traits studied. Maximum seed yield/plant (879.37 g), number of capsules/plant (522.67) and plant height (408.33 cm) was recorded in P-44. Maximum oil content observed in P-37 (36.08%) followed by P-5 (35.64%). The magnitude of phenotypic coefficient of variation (PCV) was higher than the corresponding genotypic coefficient of variation (GCV) for all the characters studied. Heritability was highest for oil content (95.49%) and 100-seed weight (87.75%) followed by seed yield (75.54%). Total capsules/plant exhibited highest genetic advance (92.69%) followed by number of branches per plant (64.32%). Hierarchical Euclidean cluster analysis of all 50 progenies using D2 statistics was done where the D2 analysis grouped the progenies into five clusters. The intra cluster distances ranged from 1.33 to 2.72. The maximum inter-cluster distance was observed between cluster II and V (6.43) followed by I and V indicating greater divergence among progenies belonging to these clusters and an attempt to cross the progenies in these clusters should bring out desirable gene combinations. These progenies showed considerable potential which can be tapped for planting and selecting the improved varieties.

##plugins.themes.bootstrap3.article.details##

##plugins.themes.bootstrap3.article.details##

Keywords

Genotypic coefficient, Heritability, Jatropha curcas, Oil content, Phenotypic coefficient, Seed yield

References
Behera, S.K., P. Srivastava, R. Tripathy, J.P. Singh and Singh, N. (2010). Evaluation of plant performance of Jatropha curcas L. under diferent agro-practices for optimizing biomass -A case study. Biomass and Bio-energy, 34:30-41.
Biabani, Alireza, Mohd Y Rafii, Ghizan B Saleh, Mah-moodreza Shabanimofrad and Latif1, M.A. (2012). Phenotypic and genetic variation of Jatropha curcas L populations from different countries. Maydica, 57:164-174.
Biswas, P.K., V. Pohit and Kumar, R. (2010). Biodiesel from Jatropha: Can India meet the 20% blending target? Energy Policy, 38:1477-1484.
Burton, G.W. (1952). Quantitative inheritance in grasses. Proceeding of 7th Intl. Grassland Cong. 277-283.
Das, S., R.C. Misra, A.K. Mahapatra, B.P. Gantayat and Pattnaik, R. K. (2010). Genetic Variability, Character Association and Path Analysis in Jatropha curcas. World Applied Science Journal, 8 (11): 1304-1308.
Freitas R.G., R.F. Missio, F.S Matos, M. D. V. and Resende Dias, L.A.S. (2011). Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Genetics and Molecular Research, 10(3): 1490-1498.
Johnson, H.W., H. F. Robinson and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybean. Agronomy Journal, 47:314-318.
Kaushik, N., K. Kumar, S. Kumar and Roy, S. (2007). Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas L.) accessions. Biomass and Bioenergy, 31:497–502.
Kheira, A.A.A. and Atta, N.M.M (2009). Response of Jatropha curcas L. to water deficits: Yield, water use efciency and oil seed characteristics. Biomass and Bioenergy, 33:1343-1350.
Lush J.L. (1949). Heritability of quantitative characters in farm animals, Proc. 8th Intl. Genetic Cong. Hereditas (Supp.), 356-357.
Mishra, D.K.(2009). Selection of candidate plus phenotypes of Jatropha curcas L. using method of paired comparisons. Biomass and Bioenergy, 33:542-545.
Nath, Anmika, P.A. Tajane, Taruna Amrawat and Meena A. K. (2014). Genetic variability studies in Jatropha (Jatropha curcas L.). International Journal of Plant Sciences, 9:330-332.
Panse, V.G.and Sukhatme, P.V. (1978). Statistical methods for agricultural workers, ICAR, New Delhi.
Rafii1, M.Y., I.W. Arolu, M.H.A. Omar and Latif, M.A. (2012).Genetic variation and heritability estimation in Jatropha curcas L. population for seed yield and vegetative traits. Journal of Medicinal Plants Research, 6(11): 2178-2183.
Rajgopal, D. and Zilber - man, D. (2007). Review of environmental, economic and policy aspects of biofuels. World Bank Policy Research Working Paper No. 4341
Rao, G.R., G.R. Korwar, A.K. Shanker and Ramakrishna, Y.S. (2008). Genetic associations, variability and diversity in seed characters, growth, reproductive phenology and yield in Jatropha curcas (L.) accessions. Trees, 22:697-709.
Rosch, C. and Skarka, J. (2009). The European biofuels policy and sustainability p. 31-35 In: International Association for Energy Economics.
Ruth, L. (2008). Bio or bust? Te economic and ecological cost of biofuels. EMBO-reports 9:130-133.
Singh, Rekha, R.M. Pandey and Singh Bajrang. (2013). Genetic association, divergence and variability studies for seed yield and oil content and its contributing traits in Jatropha (Jatropha curcas L.). Journal of Medicinal Plants Research, 7: 1931-1939.
Spark, D.N. (1973). Euclidean cluster analysis Algorithm. Applied Statics, 22: 126-130.
Sunil, N., K.S. Varaprasad, N. Sivaraj, T.S. Kumar, B. Abraham and Prasad, R.B.N. (2008). Accessing Jatropha curcas L. germplasm in-situ - A case study. Biomass and Bioenergy, 32:198-202,
Tefera, H., Assefa, K., Hundera, F., Kefyalew T. and Teferra T. (2003). Heritability and genetic advance in recombinant inbred lines of tef (Eragrostis tef). Euphytica, 131:91–96.
Section
Research Articles

How to Cite

Genetic variation and heritability estimation in Jatropha curcas L. progenies for seed yield and vegetative traits. (2015). Journal of Applied and Natural Science, 7(2), 567-573. https://doi.org/10.31018/jans.v7i2.646