Article Main

Sandeep Kumar Pradeep Kumar S. A. Kerkhi

Abstract

Genetic analysis was carried out in 55 genotypes (10 parents and 45 F1s) through diallel mating design excluding reciprocals in bread wheat (Triticum aestivum L.). Analysis of variance showed wide range of variability among the breeding material for all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were recorded for grain yield (PCV= 9.07 and GCV= 8.08). Highest heritability with genetic advance was recorded for grain yield (h2=10.60 and GA=14.84), therefore selection will be effective based on grain yield for further study. Grains per spike (gr = 0.77 and pr = 0.67) and spikelets per spike (gr= 0.63 and pr = 0.52) were found significantly correlated (at <1 % level of significance) with grain yield whereas gluten content showed nonsignificant but positive correlation with grain yield at both genotypic as well as phenotypic level. Similarly, path coefficient analysis estimates for gluten content (g= 0.08 and p= 0.03) and grains per spike (g=0.36 and p=0.23) showed high positive direct effects on grain yield therefore these traits may be used as an index for selection to high yield in bread wheat genotypes.

Article Details

Article Details

Keywords

Correlation, Diallel analysis, Yield traits, Gluten content, Triticum aestivum

References
Al-Jibouri, H. A., Miller, P. A. and Robinson, H. F. (1958). Genotypic environment variances in an upland cotton cross of inter-specific origin. Agronomy Journal, 50: 633-637
Anonymous, (2016). Progress Report of all India Coordinated Wheat and Barley Improvement Project, 1-5 pp G. P. Singh (Ed). Directorate of Wheat Research, Karnal.
Burton, G. W. and De Vane, E. W. (1953). Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, (45): 478-481
Crumpacker, D. W. and Allard, R. W. (1962). A diallel cross analysis of heading date in wheat. Hilgardia, 32: 275-318
Emeka, C. O., Christain, U. A., Michael, I. U. and Francis, C. O. (2016). Germplasm evaluation of heat tolerance in bread wheat in Tel Hadya, Syria. Chilean Journal of Agricultural Research,76 (1): 9-17
Kumar Pradeep, Gyanendra Singh, Sarvan Kumar, Anuj Kumar and Ashish Ojha (2016). Genetic analysis of grain yield and its contributing traits for their implications in improvement of bread wheat cultivars. Journal of Applied and Natural Science, 8(1): 350–357
Meena, H. S., Kumar, D. and Prasad, S. R. (2014).Genetic variability and character association in bread wheat (Triticum aestivum). Indian Journal of Agricultural Sciences, 84 (4): 487–91
Panse, V. G. and Sukhatme, P. V. (1967). Statistical Methods of Agricultural Workers. 2nd Endorsement, ICAR Publication, New Delhi, India, Pp: 381
Robinson, H. F., Comstock, R. E. and Harvey, P. H. (1949). Estimates of heritability and degree of dominance in corn. Agronomy Journal, 41: 353-359
Singh, M. K., Sharma, P. K., Tyagi, B. S. and Singh, G. (2013). Genetic analysis for morphological traits and protein content in bread wheat (Triticum aestivum L.) under normal and heat stress environments. Indian Journal of Genetics and plant breeding, 73 (3): 320-324
Singh, R. K. and Chaudhary, B. D. (1985). Biometrical methods in quantitative genetic analysis. (3rd Ed.), Kalyani Publishers, New Delhi, India.
Singh, V., Krishna, R., Singh, L. and Singh, S. (2012). Analysis of yield traits regarding variability, selection parameters and their implication for genetic improvement in wheat (Triticum aestivum L.). SABRAO Journal of Breeding and Genetics, 44 (2): 370-381
Section
Research Articles

How to Cite

Genetic analysis for various yield components and gluten content in bread wheat (Triticum aestivum L.). (2017). Journal of Applied and Natural Science, 9(2), 879-882. https://doi.org/10.31018/jans.v9i2.1291