IJMTES – GENETIC DIVERGENCE IN RELATION TO FATTY ACIDS IN BRASSICA SPECIES

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Meenu Singh

Volume 02 Issue 12  Year 2015

ISSN no: 2348-3121

Page no: 1-7

Abstract Genetic divergence in 105 genotypes of toria Germ plasm was evaluated by using Mahalanobis’s D2  test. Oil content, fatty acid composition and glucosinolate content was estimated and data obtained for various characters were subjected to statistical analysis i.e. analysis of variance, heritability, genetic advance, correlation and measurement of genetic divergence. Analysis of variance indicated that all the genotypes were significantly different from each other for all the characters. The ranking of different characters for different kinds of coefficient of variation was same for both genotypic and phenotypic coefficient of variations. Stearic acid showed highest genotypic coefficient of variation. Heritability were relatively very high for all the characters. Genetic advance varied from 0.90% for stearic acid to 51.31% for glucosinolate content. Correlation studies revealed that the negative correlation of palmitic acid, oleic acid and linoleic acid with erucic acid is of great significance in the breeding varieties with very low erucic acid content thus improving the nutritional quality of oil. 105 genotypes, included in the study were grouped into 8 clusters. Genotypes occupying one cluster may also have little diversity and selection of parents within the cluster may also be useful. This information on relationship within and between genotypes of the same species will be valuable for organizing germplasm and selecting parents for breeding purposes.

Keywords— Brassica Campestris; Genetic Divergence; Variability; Heritability

Reference

[1] Ahuja, K.L.; Bhatia, S.K.; Raheja, R.K.; Labana, K.S. and Gupta, M.L. 1989. Oil content and fatty acid composition of promising Indian B. campestris L. (toria) genotypes. Plant Foods for Human Nutrition 39(2): 155-160.
[2] Al-Jirbouri, H.A.; Miller, P.A. and Robinson, H.F. 1958. Genotypic and environmental variance and covariances in an upland cotton cross of interspecific origin. Agro. J. 50(10): 633-637.
[3] Allard, R.W. 1960. Principles of Plant Breeding. Willey, New York, 485p.
[4] Anand, I.J. and Rawat, D.S. 1985. Genetic diversity, combining ability and heterosis in brown mustard. Indian Journal of Genetics and Plant Breeding 44(2): 226-234.
[5] Awasthi, P.K. and Pathak, P.K. 1993. Changes in oil content and fatty acid composition in developing seeds in erucic mustard (B. juncea) varieties. Agrochemica 37(1-2): 77-85.
[6] Burton, G.W. 1952. Quantitative inheritance in grasses. Proc. 6th Int. Grass Ld. Cong. 1: 277-283.
[7] Cassie, R.M. 1962. Multivariate analysis in the interpretation of numerical plankton data. New Zealand J. Sci. 6: 36-59.
[8] Chaubey, C.N. and Katiyar, R.P. 1979. Genetic divergence for yield components and some developmental traits related to fitness in B. campestris var. toria. Indian Journal of Agriculture Research 13(3): 138-142.
[9] Cho,Y.C., Shin, Y.S., Gregoria, S., Kang, G.B.,Brar, K.H.O. and Moon, H.1999. DNA fingerprinting of rice cultivar using AFLP and RAPD markers. Korean Journal of Crop Sciences 44: 26-31.
[10] Dubey, R.N. 1976. Genetic divergence in Indian rai. Indian Journal of Heredity 8(1-2): 33-40.
[11] Fanizza, G.; Damato, G.; Bianco, U.V. and Maynord, D.N. 1992. A multivariate morphometric study on land rice differentiation in broccoli raab (B. napus L.). Second International Symposium on speciality and Exotic vegetable crops, Miami F.L., U.S.A., 15-19 March 1992. Acta Horticulturae 318: 195-200.
[12] Fisher, R.A. 1954. Statistical methods for research workers. Olivar and Boyd Ltd. London.
[13] Gupta, T.R. and Singh, J. 1988. Estimates of variability correlation and co-heritability in toria. Journal of Maharashtra Agriculture University 23(1): 45-46.
[14] Hougen, F.W. and Boda, V. 1973. Extraction and methanolysis of oil from whole or crushed rapeseed for fatty acid analysis. Journal of American oil chemistry society 50: 230-234.
[15] Hu, Z.L. 1987. Genetic analysis of some quantitative characters in B. napus L. Cruciferae Newsletter No. 13: 58.
[16] Jagadev, P.N.; Samal, K.S. and Lenka, D. 1991. Genetic divergence in rapeseed-mustard. Indian Journal of Genetics and Plant Breeding 9: 170-174.
[17] Mahalanobis, P.C. 1936. On the generalized distance in statistic. Proc.Nat. Inst. Sc. (India), 12: 49-55.
[18] Majumdar, D.N. and Rao, C.R. 1949. Anthropomatric survey of the united province. A statistical study. Sankhya 19: 201-208.
[19] Mangath, K.S.; Pokhriyal, S.C. and Patil, R.R. 1974. Nature of divergence in some genotypes of B. juncea. Indian Journal of Heredity6(1-2): 35-40.
[20] Mukherji, R.K. 1951. A study of difference in physical development by socio-economic strata. Samkhya 11: 47-56.
[21] Murty, B.R.; Murty, G.S. and Pavate, M.Y. 1962. Studies on quantitative inheritance in Nicotiana tobaccum components of genetic variation for flowering time, leaf number, grade performance and leaf burn. Ziicher 32: 361-369.
[22] Murty, B.R. and Quadri, M.P. 1966. Analysis of divergence in some selfcompatible forms of B. compestris var. brown sarson. Indian Journal of Genetics and Plant Breeding 26: 45-58.
[23] Nair, K.R. and Mukherjee, H.K. 1960. Classification of natural and plantation teak growth at different locations of India and Burma with respect to its mechanical and physical properties. Sankhya 22: 1-20.
[24] Pleines, S. 1988. Studies on genotypic variation in C18 fatty acid pattern in Swede rape (B. napus L.) and possibilities of its utilization in breeding. Thesis 109pp. Justus-Leibig-Universitat Giessen-German Federal Republic.
[25] Rao, T.S. 1952. Advance statistical methods in biometrical Research, John Willey and Sons, New York.
[26] Searle, S.R. 1961. Phenotypic, genotypic and environmental correlation. Biometrics 77: 474-480.
[27] Singh, Basudeo; Sachan, J.N.; Singh, S.P.; Pant, D.P.; Khan, R.A. and Kumar, Rakesh 2001. Correlation among fatty acid of Brassica and related species. Cruciferae Newsletter No. 23, 9-10.
[28] Singh, P.; Khehra, M.K.; Gupta, V.P. and Singh, P. 1991. Variability and correlation studies for oil and seed yield in gobhi sarson. Crop Improvement 18(2): 99-102.
[29] Singh, P.; Kaur, S. and Gupta, V.P. 1995. Genetic analysis for fatty acids in B. napus L. crop Improvement 22(1): 29-32.
[30] Singh, S.P.; Singh, Basudeo; Sachan, J.N. and Rakesh 2000. Genetic divergence in relation to fatty acids in Brassica species. National Seminar on Oilseeds and oils. Research and Development needs in the Millenium, Feb. 2-4, 2000, D.O.R., Hyderabad, 30, 339pp
[31] Snedecor, G.W. and Cochram, W.G. 1967. Statistical methods 6th ed. Oxford and IBH Publishing Company, New Delhi.
[32] Stefanov, L. and Gyurov. M. 1986. An investigation of the seed oil quality of new swede rape cultivars. Rasteniev dni-Nauki, 23(1): 60-64.
[33] Tang, J.H.; Brown, J.; Davis, J.B. and Tang, J.H. 1996. Developing quality cultivars in yellow mustard (Senapsis alba). Cruciferae Newsletter No. 18: 90-91.
[34] Velasco, L.; Goffman F.D. and Becker, H.C. 1998. Variability for the fatty acid composition of the seed oil in a germplasm collection of genus Brassica. Genetic Resources and Crop Evaluation 45(4): 371-382.
[35] Verma, S.K. and Sachan, J.N. 2002. Genetic divergence in Indian mustard (Brassica juncea (L.) Czern and Coss). Cross Rs. Hisar. 9(2): 271-276.
[36] Yadav, N. 1982. Correlation coefficient and selection indices in brown sarson. Thesis Abstracts 9(2): 186-187.
[37] Yadav, T.P.; Singh, A. and Gupta, U.P. 1973. Genetic divergence for oil content, seed yield and its components in rai (B. juncea). Haryana Agric. Univ. J. Res. 3(2): 75-81.
[38] Zhou, Y.M. and Liu, H.L. 1987. Canonical correlation analysis between characters in B. napus. Cruciferae Newsletter No. 12: 42-43.

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