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Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.)

Vichitra Kumar Arya*, Jogendra Singh, Lokendra Kumar, Rajendra Kumar , Punit Kumar, Pooran Chand

Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut- 250 110, India

aryavichitra@gmail.com

Page Range:
128-134
Article ID:
A-4697
Online Published:
19-04-2017
Abstract

Forty nine genotypes of wheat were studied for generating scientific information on nature and magnitude of genetic variability and diversity for designing breeding programme. The experiment was conducted in randomized complete block design in three replications. The data were recorded on days to 50% flowering, plant height, peduncle length, number of productive tillers per plant, days to maturity, spike length, number of spikelets per spike, number of grains per spike, 1000-grain weight, biological yield per plant, grain yield per plant, harvest index and gluten content.  Analysis of variance revealed significant differences among the genotypes for all the characters under study. The highest estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for grain yield per plant. High heritability coupled with high genetic advance was observed for grain yield per plant. Based on D2 –Statistics, 49 genotypes were grouped into eight clusters. The highest inter-cluster distance was found between cluster VII and VIII followed by III and VII. This indicates that genotypes included in these clusters possess wide genetic diversity. Grain yield per plant (31.46%) showed highest contribution towards genetic divergence; therefore, this character was major determinant of genetic diversity. On the basis of divergence and cluster mean it may be suggested that maximum heterosis and good recombinants could be obtained in crosses between genotypes of cluster VIII, VII and III in varietal improvement programme. Thus,  crosses between the genetically diverse genotypes of cluster VIII with genotypes HUW 655, HP 1937, DBW 88 and HD 3058  and cluster VII with genotypes like  HP 1938, HUW 656, K1006, DBW83, DBW 84, K1004, UP2822 and NW5050 are expected to exhibit high heterosis and are also likely to produce new recombinants with desired traits. 

Keywords
Bread wheat, Diversity, Heritability, GCV, Genetic advance, PCV.
References
  • Allard, R.W. (1960). Principle of Plant Breeding. John Wiley and sons, NewYork. p. 185.
  • Bhoite, K.D., Rasal, R.N., Gadekar, D.A. (2008).Genetic variability, heritability and genetic advance in durum wheat riticurri aestivum L.). J. of Maharashtra Agri. Uni. 33: 102-103.
  • Chapla, J.N., Dobariya, K.L., Khanpara, M.D., Jivani, L.L. and Kachhadia, V.H. (2008). Genetic divergence in bread wheat (Triticum aestivum L.). J. of Plant Improvement. 10(2): 97-102
  • Dobariya, K.L., Ribadia, K.H., Padhar, P.R. and Ponkia, H.P. (2006). Analysis of genetic divergence in some synthetic lines of bread wheat (Triticum aestivum L.). Advances in Plant Sciences. 19(1): 221-225
  • Dwivedi, A.N. and Pawar, I.S. (2005). Evaluation of genetic diversity among bread wheat germplasm lines for yield and quality attributing traits. J. of Res. 34(1): 35-39.
  • Dudley, J.W. and Moll, R.H. (1969). Interpretation and uses of estimates of heritability and genetic advance in plant breeding. Crop Sci. (9): 257-262.
  • FAOSTAT. (2014). Food and Agriculture Organisation (FAO) of the United Nations, Rome, Italy. Available at http:// aostat3.fao.org (accessed Jan.2014).kay
  • Falconer, D.S. and Mackay, T.F.C. (1996) Introduction to Quantitative Genetics (4th ed.), Longman, Essex, UK.
  • Gollen, B., Yadav, R.K. and Kumar, Pawan (2011). Assessment of genetic parameters for spike traits and yield attributes in bread wheat genotypes following Line X Tester mating system. Environment and Ecology. 29(2):752-756.
  • Harlan (1976). Genetic resources in wild relatives of crop. Crop Sci. 16: 329-333.
  • Johnson, H.W., Robinson, H.F. and Comstock, R.F. (1955). Estimates of genetic and environmental variability in soybean. Agron. J. 47: 314-318.
  • Joshi, A.B. and Dhawan, N.L. (1966). Genetic improvement of yield with special reference to self fertilizing crops. Indian J. Genet., 26A : 101-113.
  • 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.
  • Khokhar, M.I., Hussain, M., Zulkiffal, M., Sabir, W., Mahmood, S. and JamilAnwar, M.W. (2010). Studies on genetic variability and inter-relationship among the different traits in wheat (Triticum aestivum L.) Krmiva. 52: (2) 77-84.
  • Kumar, R., Gaurav, S.S., Bhushan, B. and Pal, R. (2013). Study of genetic parameters and genetic divergence for yield and yield components of bread wheat (Triticum aestivum L.). J. of Wheat res. 5(2): 39-42.
  • Lush, J.L. (1949). Heritability of quantitative characters in farms animals. Proceedings of 8th Congress of Genetics and Hereditas. 35: 356-375.
  • Maan, R.K. and Yadav, A.K. (2010).Variability, heritability and genetic advance for quantitative character in wheat (Triticum aestivum L.). Progressive Agriculture, 10: (2) 355-357.
  • Moose, S.P. and Rita, H.M. (2008). Molecular plant breeding as the foundation for 21st centuary crop improvement. Plant Physiol. 147: 969-977.
  • Nagireddy, A.V. and Jyothula, D.P.B. (2009). Heritability and interrelationship of yield and certain agronomic traits in wheat. Research on Crops. 10(1): 124-127
  • Panse, V.G. and Sukhatme, P.V. (1969). Statistical methods for agricultural workers. Indian Council of Agricultural Research, New Delhi.
  • Rao, C.R. (1952). Advance statistical methods in biometrical Research Edition I. John Willey and Sons, New York.
  • Sabhrawal, P.S. and Lodhi, G.P. (1995). Germplasm evaluation for different traits in wheat (Triticum aestivum L.). HAU, J. of Agri. Res. 25 (4): 207 - 210.
  • Searle, S.R. (1961). Phenotypic, Genotypic and environmental correlations. Biometrics 47: 474-480. 
  • Shankararao, B.S., Mukherjee, J. and Pal, A.K. (2010). Estimation of variability for yield parameters in bread wheat (Triticum aestivum L.). J. of Plant breeding., 1: 764 – 768.
  • Singh, D. and Singh, K.N. (2010). Variability analysis for yield and yield attributes of bread wheat under salt affected conditions. wheat / information service. 110: 35-39
  • Sen, C. and Toms, B. (2007). Character association and component analysis in wheat (Triticum aestivum L.). Crop Res. 34(1/3): 166-170
  • Singh, S.P. and Dwivedi, V.K. (2002). Genetic divergence in bread wheat. New Agriculturist, 13 (7): 2-7.
  • Singh, S.V., Tiwari., L.P. and Sharma, R.K. (2010). Genetic Variability, Correlation and Path analysis in bread wheat (Triticum aestivum L.). Indian J. of Genet. 6 (2): 91-93.
  • Tazeen, M. and Naqvi., F.N. (2009). Heritability, phenotypic correlation and path coefficient studies for some agronomic characters in synthetic elite lines of wheat. J. of Food Agri. and Environ. 7(3/4):278-282 
  • Verma, A.K., Singh, P.K., Vishwakarma, S.R. and Tripathi, R.M. (2006). Genetic divergence in wheat (Triticum aestivum L.). J.of Farm Sci. 15(1): 32-34
  • Yadav, D.K., Pawar, I.S., Sharma, I.S. and Lamba, R.A.S. (2006). Evaluation of variability parameters and path analysis in bread wheat. J. of Plant Improv. 8(1): 86-89.
  • Yadav, S.K., Singh, A.K., Baghel, S.S., Jarman, M. and Singh, A.K. (2014). Assessment of genetic variability and diversity for yield and its contributing traits among CIMMYT based wheat germplasm. J. of Wheat Res. 6(2): 154-159.
     
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