International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 2
First page : (653) Last page : (658)
Article doi: : http://dx.doi.org/10.18782/2320-7051.2752

Genetic Analysis for Grain Yield and Morphological Traits and Their Implication for Improvement in Bread Wheat (Triticum aestivum L.)

Ravi Kumar¹, S. A. Kerkhi¹, Pardeep Kumar²* and Neeraj Kumar³

1Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250110 (UP), India
²Indian Institute of Wheat and Barley Research, Karnal-132001 (Haryana), India
³Department of Zoology, Vardhman College Bijnor-246701 (U.P.), India
*Corresponding Author E-mail: pradeeptaliyan231@gmail.com
Received: 25.03.2017  |  Revised: 30.04.2017   |  Accepted: 6.05.2017  

 

 ABSTRACT

Genetic analysis was carried out in 104 genotypes (24 parents and 80 F1s) through line ×tester (20 Line×4 Tester) mating design in bread wheat. Analysis of variance (ANOVA) showed revealed the considerable amount of genetic variability among the breeding materials for all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were recorded for flag leaf area (PCV= 14.71& GCV= 13.99), biological yield (PCV= 13.97& GCV= 12.69), grain yield (PCV= 14.96 & GCV= 12.84) and ash content (PCV= 21.30 & GCV= 20.64). Highest heritability coupled with highest genetic advance was recorded for grain yield (h2=38.63 & GA=22.72), biological yield (h2=38.47 & GA=23.76), productive tillers (h2=54.57 & GA=12.52) and harvest index (h2=38.47 & GA=10.50 indicated the effectiveness of selection for these traits. The traits namely 1000 grain weight (gr = 0.23* & pr = 0.14*), harvest index (gr = 0.24** & Pr = 0.36**), biological yield (gr = 0.87** & Pr = 0.82**), productive tillers (gr = 0.72** & pr = 0.65**) and grains per spike (gr = 0.14* & pr = 0.12*)were found positively correlated (at <5% level of significance) with grain yield. Similarly, harvest index, grains per spike and biological yield showed highest positive direct effects on grain yield therefore indirect selection for these traits would be effective for improving the grain yield in bread wheat.

Key words: Genetic variability, Correlation, Path analysis, Yield traits, Bread wheat.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Kumar, R., Kerkhi, S.A., Kumar, P. and Kumar, N., Genetic Analysis for Grain Yield and Morphological Traits and Their Implication for Improvement in Bread Wheat (Triticum aestivum L.), Int. J. Pure App. Biosci.6(2): 653-658 (2018). doi: http://dx.doi.org/10.18782/2320-7051.2752