International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 5
First page : (545) Last page : (552)
Article doi: http://dx.doi.org/10.18782/2320-7051.2686
D. L. Kamani1*, C. A. Babariya2 and P. B. Marviya3
1M.sc. (Agri.) student, Dept. of Agril. Statistics, JAU, Junagadh
2Assistant Professor, Department of Seed Science and Technology, JAU, Junagadh
3Ph. D Student, Dept. of Agril. Statistics, JAU, Junagadh
*Corresponding Author E-mail: cababariya@jau.in
Received: 15.03.2017 | Revised: 21.04.2017 | Accepted: 29.04.2017
ABSTRACT
The study was undertaken to estimate correlation coefficients and direct and indirect effects by path analysis for grain yield per plant and its components by using 52 genotypes of wheat. The grain yield per plant has significant and positive correlations both at genotypic and phenotypic levels with biological yield per plant, number of productive tillers per plant, harvest index, plant height, days to 50% flowering, days to maturity, peduncle length and ear length. The path coefficient analysis revealed high positive direct effects of biological yield per plant, harvest index, days to 50% flowering, grain filling period, grain weight per main spike and peduncle length on grain yield per plant. Thus, these traits are to be considered as the most important yield contributors and due emphasis should be given while attempting yield improvement in wheat. Thus, these characters were identified as the most important yield components and due emphasis should be placed on these characters while selecting for high yielding genotypes in wheat.
Key words: Character association, Path analysis, Wheat.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Kamani, D.L., Babariya, C.A. and Marviya, P.B., Correlation Coefficient and Path Coefficient Analysis for Yield Components in Wheat (Triticum aestivum L.), Int. J. Pure App. Biosci.5(5): 545-552 (2017). doi: http://dx.doi.org/10.18782/2320-7051.2686