ASSESSMENT OF NATURE AND MAGNITUDE OF GENETIC VARIABILITY, HERITABILITY AND GENETIC ADVANCE FOR YIELD COMPONENT TRAITS OF BARLEY

A. KUMARI¹*, S.R. VISHWAKARMA², O.P. VERMA³, H. YADAV^4
1Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad, 224 229, Uttar Pradesh, India
²Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad, 224 229, Uttar Pradesh, India
³Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad, 224 229, Uttar Pradesh, India
⁴Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad, 224 229, Uttar Pradesh, India
* Corresponding Author : sevda.anju@gmail.com

Received : 04-09-2019     Accepted : 26-09-2019     Published : 30-09-2019
Volume : 11     Issue : 9       Pages : 646 - 649
Genetics 11.9 (2019):646-649

Keywords : Genetic variability, Heritability, Genetic advance
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad, 224 229, Uttar Pradesh, India
Author Contribution : All authors equally contributed

The present investigation was carried out to assess the nature and magnitude of genetic variability, heritability and genetic advance for yield component traits of barley comprised of 6 lines and 3 testers. During 2015-16, all parents were evaluated at Genetics & Plant Breeding Research Farm of Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad. The six improved and diverse genotypes of barley (RD-2768, NDB-1618, RD-2909, RD-2899, NDB-1057 and HUB-240) and three testers (NDB-1173, NDB-3 and NDB-943. Observations were recorded for days to ear emergence, days to maturity, number of productive tillers per plant, ear length (cm), grains per spike, biological yield per plant (g), harvest index (%), 1000-grain weight and grain yield per plant (g). Analysis of variance that mean sum of squares had significant differences among evaluated traits. The moderate estimate of phenotypic and genotypic coefficient of variability was found for productive tillers/plant. High value of heritability in narrow sense (>30 %) were recorded for grains/spike, days to maturity, biological yield/plant, grain yield/plant (g) and harvest index while remaining traits showed moderate estimate. High heritability with high genetic advance in percent of means was recorded for grains/spike and grain yield/plant (g). High heritability coupled with low genetic advance in percent of mean was recorded for days to maturity, ear length(cm), biological yield/plant(g) and harvest index(%), while, low heritability coupled with low genetic advance in percent of mean was recorded for days to ear emergence and low heritability coupled with high genetic advance in percent of mean was recorded for productive tillers/plant and 1000-grain weight(g).

1. FAO (2009) The State of Food and Agriculture. Food and Agriculture Organization of the United Nations, Rome, Italy.
2. Anonymous (2016) Director’s Report on Progress of AICW & BIP, 96.
3. Joshi A.B. and Dhawan N.L. (1966) Indian J. Genet., 26, 267-578.
4. Joshi A.B. (1979) Indian J. Genet., 39, 567-578.
5. Grafius J.E. (1964) Crop Sci., 4,242-248.
6. Falconer D.S. and Mackay F.C.T. (1996) Introductionto Quantitative Genetics. pp, 122-125. 4th (Eds). Longman Group Ltd, England, ISBN-10-0582243025
7. Panse V.G. and Sukhatme P.V. (1967) Statistical methods for Agricultural workers. 2nd Ed., I.C.A.R., New Delhi.
8. Burton G.W. (1952) Quantitative inheritance in grasses. Proc. Int. Grassland Congr., 1, 277-283.
9. Johnson H.W., Robinson H.F. and Comstock R.E. (1955) Agronomy Journal, 47, 314-318.
10. Lush J.L. (1940) Proceeding American Society Animal Production, 33, 293-301.
11. Dabholkar A.R. (1992) Elements of Biometrical Genetics. Concept Publishing Company, New Delhi, India, 138-140.
12. Riaz R. and Chowdhry M.A. (2003) Asian J. Plant Sci., 2, 748-755.
13. Robinson H.F. (1966) Indian J Genet., 26, 171-187.
14. Burton G.M. and de vane, E.H. (1953) Agron. J., 45, 471-481.
15. Kempthorne O. and Curnow R.N. (1961) Biometrics, 17, 229-250.
16. Hanson C.H., Johnson W.D. and Robinson H.F. (1963) Statistical Genetics and Plant Breeding 1982. NAS, RRC. Washington DC, 125-129.
17. Shrimali J., Shekhawat A.S. and Kumari S. (2017) Journal of Pharmacognosy and Phytochemistry, 6(4), 233-235.
18. Negash G., Lule D. and Jaleta Z. (2019) African Journal of Agricultural Research. Article in press.
19. Shekhawat S.S. and Kumar M. (2013) Electronic J. Plant Breed., 4(4), 1309-1312.
20. Jalata Z., Ayana A. and Zeleke H. (2011) International Journal of Plant Breeding and Genetics, 5, 44-52.
21. Mohammed H., Derbew S. and Urage E. (2013) International J. Sci. and Res., 2319-7064.
22. Azeb H., Alamerew S., Nigussie M., Assefa E. and Achakzai A.K.K. (2016a) Middle-East J. of Scientific Res., 24(2), 450-458.
23. Kishor R., Pandey D.D. and Verma S.K. (2000) Crop Res., 19, 241-244.
24. Kumar S. and Prasad L.C. (2002) Res. on Crops, 3, 432-436.
25. Vimal S.C. and Vishwakarma S.R. (1998) Rachis, 17, 56-61.
26. Raikwar S.R., Upadhyay A.K. and Tyagi (2014) The Bioscan, 9(4 Supplement), 1613.
27. Yadav S.K., Singh A.K., Pandey P. and Singh S. (2015) American J. Plant Sci., 6, 1543-1549.
28. Azeb H., Alamerew S., Nigussie M. and Assefa E. (2016b) World J. Agril. Sci., 12(1), 36-44.
29. Mishra C.N., Singh S.K., Singh P.C. Bhardwaj D.N. and Singh H.L. (2007) International J. Plant Sci., 3(2), 220-221.