ISSN 2167-0447
International Journal of Agricultural Sciences ISSN: 2167-0447 Vol. 9 (8), pp. 001-006, August, 2019. © International Scholars Journals
Full Length Research Paper
Estimation of correlation coefficients among seed yield and some quantitative traits in wheat (Triticum aestivum L.)
Naeem Akhtar1*, Talat Mehmood2, Muhammad Ahsan3, Ahsan Aziz1, Muhammad Ashraf1, Salman Ahmad1, Muhammad Asif1 and Ehsan Safdar1
1University College of Agriculture, University of Sargodha, Sargodha- 40100, Pakistan.
2Department of Plant Breeding and Genetics, PMAS University of Arid Agriculture, Rawalpindi -46300, Pakistan.
3Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad. Pakistan.
Accepted 19 April, 2019
Abstract
Genetic variability of quantitative traits and their contribution towards seed yield that may be used as criteria for yield improvement in wheat was investigated. Generation means analysis technique was applied to identify correlation (phenotypic and genetic) coefficients for seven quantitative traits in two wheat crosses and their reciprocals. The estimates of genetic correlation coefficients were found greater than the phenotypic one for all studied plant traits in both crosses and their reciprocals. Seed yield per plant was found positively correlated at phenotypic and genetic levels in cross V-95199 x PARI-73 and it’s reciprocal. In this cross, days to heading, peduncle length, spikelets per spike and seed yield per main spike were significantly influenced while harvest index showed negative association with seed yield per plant. The phenotypic and genetic correlation coefficients of cross Chakwal-86 x V-8060 and its reciprocal indicated that seed yield per plant had significantly positive strong association with all studied plant traits except specific flag leaf weight and days to heading. It is concluded that the inter relationship among traits both at phenotypic and genetic levels could efficiently be exploited for obtaining maximum seed yield per main spike, peduncle length, and harvest index which ultimately lead to improve crop yield.
Key words: Wheat, direct and reciprocal crosses.