Indian Journal of Agricultural Research

  • Chief EditorT. Mohapatra

  • Print ISSN 0367-8245

  • Online ISSN 0976-058X

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Indian Journal of Agricultural Research, volume 43 issue 4 (december 2009) : 279 - 283

GENETICS OF SLOW- RUSTING RESISTANCE TO LEAF RUST IN BREAD WHEAT

V.J. Bhatiya, M.A. Vaddoria, D.R. Mehta, B.A. Monpara
1Department of Agricultural Botany, College of Agriculture Junagadh Agricultural University, Junagadh- 362 001, India
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Cite article:- Bhatiya V.J., Vaddoria M.A., Mehta D.R., Monpara B.A. (2024). GENETICS OF SLOW- RUSTING RESISTANCE TO LEAF RUST IN BREAD WHEAT. Indian Journal of Agricultural Research. 43(4): 279 - 283. doi: .
Genetic architecture of slow-rusting resistance to leaf rust was studied using
generation mean analysis involving six basic generations (P1,P2, F1, F2, BC1 and
BC2) of two bread wheat crosses viz., J 24 x HD 2189 and J 24 x HS 347. The
individual and joint scaling tests revealed the presence of digenic epistasis for
inheritance of slow-leaf rusting in both the crosses. The best fitting model revealed
the significance of only additive (d) gene effect in cross J 24 x HD 2189 where
simple selection could be effective for exploiting slow rusting phenomenon. In case
of cross J 24 x HS 347, all the gene effects except (m) were significant indicating
importance of additive and non-additive gene effects. Therefore, improvement
through reciprocal recurrent selection, biparental mating or diallel selective mating
could be employed for improvement of this trait. However, number of gene pairs
controlling slow-leaf rusting was quite variable in both the crosses.
  1. Anonymous (2005). CMIE, Andheri (East), Mumbai.
  2. Bjarko, M.E. and Line, R.F. (1988). Phytopathology, 78: 457-461.
  3. Caldwall, R.M. (1969). In Int. Wheat Genet. Symp. 3rd ed. (Finalay, K.W. and Shepherd, K.W,ed.) 263-272.
  4. Cavalli, L.L. (1952). Quantitative inheritance. H.M.S.O., London. 135-144.
  5. Das, M.K.et al. (1992). Crop Sci., 32: 1452-1456.
  6. Fisher,R.A. and Yates, F.(1938). Statistical Tables for Biological, Agricultural and Medical Research.
  7. Jacobs, Th. and Broers, L.H.M. (1989). Euphytica, 44: 197-206.
  8. Jensen, A. B. (1970). Crop. Sci., 42: 629-635.
  9. Jinks, J.L. and Jones, R.M. (1958). Genetics, 43: 223-234.
  10. Joshi, A.B. and Dhawan, N.L. (1966). Indian J. Genet., 26(A):101-113.
  11. Mather, K. (1949). Biometrical Genetics. Mathuen and Company Ltd., London.
  12. Ohm, H.W. and Shaner, G.E. (1976). Phytopathology, 66: 1356-1360.
  13. Panse, V.G. and Sukhatme,V.P. (1967). Statistical Methods for Agricultural Workers. ICAR, New Delhi.
  14. Peterson, R.F. et al. (1948). Can. J. Res. Sect. C., 26: 496-500.
  15. Tandon, G. et al. (1989). Haryana Agric. Univ. J. Res., 19: 1-5
  16. Wright, S. (1968). Evaluation and Genetics of Populations. 1.: 5 -9
  17. Zhang, R.J. et al. (2001). Phytopathology, 91: 680-686.

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