Variability, Heritability and Genetic Advance Analysis in Bread Wheat (Triticum aestivum L.) Genotypes

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International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 8 (2017) pp. 2687-2691 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.608.321 Variability, Heritability and Genetic Advance Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Ajeet Kumar *, Amit Kumar, Vikas Rathi and Kushal Pal Singh Tomer Department Genetics and Plant Breeding, C.C.S. University Meerut-250001, UP, India *Corresponding author A B S T R A C T K e y w o r d s Heritability, Genetic advance and Bread wheat. Article Info Accepted: 23 June 2017 Available Online: 10 August 2017 A study was undertaken to estimate the heritability, genetic advance and coefficient of variation analysis of yield and yield contributing traits in 36 wheat cultivars grown in randomized block design with three replications at Research Farm, Department of Genetics and Plant Breeding, CCS University, Meerut, during rabi season 2011-12. The analysis of variance revealed that the treatments were highly significant for all the characters except flag leaf width. The higher magnitudes of phenotypic coefficient of variation (PCV) were recorded for grain yield per plant. The high heritability was estimated for the characters days to 50% flowering, plant height, flag leaf length, spike length and number of grains per spike. High value of heritability indicates that it may be due to higher contribution of genotypic components. High heritability coupled with high genetic advance as percent of means were recorded for plant height, spike length and grains per spike that indicated predominance of additive gene action in the inheritance of these traits. Introduction Wheat (2n=6x=42) belongs to family Poaceae and Triticum genera. Spring wheat or bread wheat (Triticum aestivum L. em Thell), which comes under aestivum species, is the most common and widely grown wheat at global level as well as in India. Other wheat like Triticum durum, Triticum dicoccum are also grown in a limited area for their some special significance in developing products for human consumption. Wheat flour is the main product of wheat produce, by which various kinds of human foods are being developed. Wheat straw is a major source of animal feed in the country like India. Gluten which is a major part of wheat protein (about 75% of the total protein present in the wheat grain), has a 2687 unique quality for making the processed food puffly, with increase in perforated volume. Because of its versatility in adaption and utility in various ways, wheat is grown in more 44 countries at global level. Materials and Methods The 36 genotypes of wheat (Triticum aestivum L.) were obtained from the Directorate of Wheat Research (DWR) Karnal, Haryana sown in the research area of Department of Genetics and Plant Breeding, Faculty of Agriculture, C.C.S. University, Meerut on December 2011-12. The experiment was laid out in randomized block

design with three replications. All the genotypes were evaluated and characterized for various traits i.e. plant height, spike length, number of grains spike, grain yield per plant (g) and1000-grain weight (g). The mean data were subjected to analysis of variance to test the level of significance among the genotypes for different characters according to Steel & Torrie (1980). The following parameters were estimated by following the Burton (1952) and Johnson et al., (1955). Genotypic coefficient of variation (GCV %) = (σ2g/x) x 100 Phenotypic coefficient of variation (PCV %) = [(σ2 g+ σ2gy+ σ2e)/x] x 100 Heritability It was calculated by the following formula suggested by Crumpacker and Allard (1962), which is based on the component analysis: ĥ 2 1/ 4Dˆ Genetic advance 1/ 4Dˆ 1/ 4Ĥ1 1/ 4Fˆ Ê The genetic advance was calculated by the formula given by Robinson et al., (1949) as: G.A. = K x ĥ 2 x 2 ph And, Genetic advance over mean of the character G.A. (%) = G.A. X x 100 Results and Discussion Analysis of variance for the experiment with thirty six treatments for twelve characters viz., days to 50% flowering, plant height, number of tillers per plant, spike length, number of grains per spike, flag leaf length, flag leaf width, 1000 grains weight, seed vigour index, germination % after, germination % before and grain yield per plant was carried out for testing the significance of variance among the treatments for each character through F test (Table 1). The F test indicated that variance due to treatments were highly significant for all the characters except flag leaf width under study. The variance due to known and unknown causes was worked out using the method suggested by Choudhary and Prasad (1967) and Lush (1949) (Table 1). Coefficient of variation Phenotypic and genotypic coefficient of variation, heritability estimates and predicted genetic advance as per cent of mean for characters are studied presented in table 2. The estimates of coefficient of variation, i.e. genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) along with general mean and range for all the traits are presented in table 2. Moderate genotypic coefficient of variation (10-25%) observed for Plant height, number of tillers per plant, spike length, number of grains per spike and grain yield per plant. Days to 50% flowering, flag leaf length, flag leaf width, 1000 grains weight, seed vigour index, germination % after and germination % before low (<10%) genotypic coefficient of variation (Table 2). High percentage of phenotypic coefficient of variation (more than 25%) was observed for grain yield per plant. Moderate phenotypic coefficient of variation (10-25%) observed for Plant height, number of tillers per plant, spike length, 1000 grains weight, seed vigour index and number of grains per spike. Days to 50% flowering, flag leaf length, flag leaf width, germination % after and germination % before low (<10%) phenotypic coefficient of variation (Table 2). 2688

Source of variance d.f. Day of 50% flowering Table.1 Analysis of variance for yield and yield components in wheat (Triticum aestivum L.) Plant Height Flag leaf length Flag leaf width Tillers/ plant Spike length Grains/ spike 1000 grain weight in (g) Seed vigour index Germination % after Table.2 Mean, range, GCV, PCV, Heritability and genetic advance in wheat (Triticum aestivum L.) Germination %before Grain yield per plant (g) Replication 2 0.120 1.311 0.154 0.012 1.926 0.616 52.287 59.615 4858.621 21.732 11.676 30.934 Treatments 35 39.857** 277.271** 10.025** 0.045 5.749** 8.102** 129.139** 67.292** 238920.672** 25.533** 13.618** 33.786** Error 70 1.816 6.046 1.228 0.018 1.374 0.416 19.753 21.177 119191.500 8.560 6.752 15.665 Character Mean Range GCV PCV Heritability (%) 2689 Genetic Advance Genetic Advancement as % of mean Day of 50% flowering 77.343 63.333-82.000 4.604 4.923 87.500 6.861 8.871 Plant height 89.414 65.900-117.287 10.634 10.984 93.700 18.963 21.209 Flag leaf length 21.281 17.900-24.767 8.046 9.585 70.500 2.961 13.915 Flag leaf width 1.663 1.400-2.033 5.761 9.869 34.100 0.115 6.927 Number of tiller per plant 8.769 6.000-12.333 13.773 19.192 51.500 1.785 20.361 Spike length 10.376 7.100-13.600 15.427 16.631 86.000 3.059 29.479 Number of grain per spike 40.731 27.333-55.000 14.825 18.408 64.900 10.018 24.595 1000 grain weight (g) 42.450 35.467-52.833 9.236 14.242 42.100 5.238 12.339 Seed vigour index 2552.593 2137.330-3381 7.826 15.626 25.100 206.114 8.075 Germination % after Germination % before Grain yield per plant (g) 88.157 81.333-92.667 2.698 4.277 39.800 3.091 4.493 91.352 85.667-95.333 1.656 3.291 25.300 1.568 2.200 15.283 8.623-22.160 16.081 30.484 27.800 2.671 17.476

These findings are similar in agreement with earlier reported by Yousaf et al., (2008), Kaul and Singh (2011), Dhananjay et al., (2012) and Tripathi et al., (2011). Heritability High heritability (> 60%) was observed for the characters namely days to 50% flowering, plant height, flag leaf length, spike length and number of grains per spike. Moderate (30-60%) heritability was recorded for flag leaf width, 1000 grains weight, number of tillers per plant and germination % after and low (less than 30%) heritability was recorded for seed vigour index, grain yield per plant and germination % before (Table 2). These findings are similar in agreement with earlier reported by Tanna et al., (1985), Sarkar et al., (2001), Pawar et al.,(2003), Gupta et al., (2004), Saxena et al., (2007), Lal et al., (2009) and Yadav et al., (2011). Expected genetic advance as percentage of mean Expected genetic advance expressed as percentage of mean was observed high (> 20%) for plant height, number of tillers per plant, spike length and number of grains per spike. Moderate genetic advance as percent of mean (10-20%) was recorded for flag leaf length, 1000 grains weight and grain yield per plant. Whereas, days to 50% flowering, flag leaf width, seed vigour index, germination % after and germination % before showed low GA (<10%) (Table 2). These findings are similar in agreement with earlier reported by Kaul and Singh (2011). References Crumpacker, D. W. and R. W. Allard (1962). A diallel cross analysis of heading date in wheat. Hilgardia, 32: 275-318. Dhananjay; Singh; Raj Shekhar; Bharat Bhushan and V. P. Rahul (2012). Genetic Variability in Wheat (Triticum aestivum) under Normal and Timely Sown Condition. Environment & Ecology, 30 (3C): 1085-1087. Gupta, R. S.; Singh, R. P. and Tiwari, D. K. (2004). Analysis of heritability and genetic advance in bread wheat (Triticum aestivum L. Em. Thell.). Advances in Plant Sciences, 17 (1): 301-305. Johnson, H.W., H.E. Robinson and R.E. Comstock. 1955. Estimates of genetic and environmental variability in soybean. Agron. J., 47: 314-318. Kaul, D. K. and Singh, B. (2011). Evolution for drought Tolerance in elite genotypes of Bread Wheat (Triticum aestivum L.). Advances in Plant Sciences. 24 (1): 141-144. Lush JL (1949). Heritability of quantitative characters in farm animals. Herbicides 35: 356-357. Pawar, S. V.; Patil, S. C.; Naik, R. M. and Jambhale, V. M. (2003). Genetic variability and heritability in bread wheat. J. of Maharastra Agri. Uni. 27: 3, 234-235. Saxena Payal; Rawat, R. S.; Verma, J. S. and Meena, B. K. (2007). Variability and association analysis for yield and quality traits in bread wheat. Pantnagar Journal of Research, 5 (2): 85-92. Steel, R.G.D. and J.H. Torrie. (1981). Principles and Procedures of Statistics. 2nd Edition, McGraw-Hill Book Co., Inc., New York, USA, 633p. Tanna, H.; Komaki, Y. and Goto, K. (1985). The effectiveness of selection based on harvest index in spring wheat. Memoirs of the faculty of Agriculture, Hokkaido University, Japan, 14 (4): 352-356. Tripathi, S. N.; Shailesh Marker; Praveen Pandey; Jaiswal, K. K. and Tiwari, D. K. (2011). Relationship between some 2690

morphological and physiological traits with grain yield in bread wheat (Triticum aestivum L. em. Thell.). Trends in Applied Sci. Res., 6 (9): 1037-1045. Yadav, K. A.; Maan, K. R.; Kumar, S. and Kumar, P. (2011). Variability, heritability and genetic advance for quantitative characters in hexaploid wheat (Triticum aestivaum L.). Electronic Journal of Plant Breeding, 2 (3): 405-408. How to cite this article: Ajeet Kumar, Amit Kumar, Vikas Rathi and Kushal Pal Singh Tomer. 2017. Variability, Heritability and Genetic Advance Analysis in Bread Wheat (Triticum aestivum L.) Genotypes. Int.J.Curr.Microbiol.App.Sci. 6(8): 2687-2691. doi: https://doi.org/10.20546/ijcmas.2017.608.321 2691