International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 1
First page : (1021) Last page : (1027)
Article doi: http://dx.doi.org/10.18782/2320-7051.5750
Variability Analysis in F2 Population of Rice (Oryza sativa L.) for Yield and Related Traits
Jignesh R. Balat*, Vipul P. Patel, Mahesh L. Visat and Ranjit N. Bhagora
Department of Genetics & Plant Breeding, N.M. College of Agriculture Navsari Agricultural University,
Navsari – 396 450, Gujarat
*Corresponding Author E-mail: balatjignesh20@gmail.com
Received: 22.09.2017 | Revised: 29.10.2017 | Accepted: 3.11.2017
ABSTRACT
This study was conducted to evaluate genetic variation among eight parents and their six F2 populations for various fourteen morphological traits at the Regional Rice Research Station, N.A.U., Vyara during Kharif – 2015. The segregating populations manifested increased mean values over the parental means for most of the traits. All the population exhibited high GCV and PCV value for productive tillers per plant and grain yield per plant. Among six crosses NVSR-2031 X GAR-13 exhibited the higher values of GCV and PCV for leaf area and straw yield per plant, Jaya x Lalkada for panicle length and straw yield per plant and GR-7 X GAR-13 for panicle length. While, the IR-28 x Lalkada exhibited the highest value of PCV for panicle length and straw yield per plant and GR-7 X GAR-13 for straw yield per plant indicating greater scope for improvement of these traits through selection. The heritability estimates of grain yield per plant, straw yield per plant, productive tillers per plant, plant height and panicle length were high with high genetic advance as per cent mean compared to other traits in all the six F2 populations.
Key word: GVC, PCV, Heritability, Genetic advance, Genetic advance as percent mean.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Balat, J.R., Patel, V.P., Visat, M.L. and Bhagora, R.N., Variability analysis in F2 population of rice (Oryza sativa L.) for yield and related traits, Int. J. Pure App. Biosci.6(1): 1021-1027 (2018). doi: http://dx.doi.org/10.18782/2320-7051.5750
