International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 2
First page : (208) Last page : (216)
Article doi: : http://dx.doi.org/10.18782/2320-7051.6275

Study of Gene Effects for Seed Cotton Yield and Its Attributing Traits in Upland Cotton (Gossypium hirsutum L.)

Sonika* and R. S. Sangwan
Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar-125004, India
*Corresponding Author E-mail: sonikabhankhar@gmail.com
Received: 21.02.2018  |  Revised: 28.03.2018   |  Accepted: 2.04.2018  

 ABSTRACT

The present investigation comprising of six generations (P1, P2, F1, F2, BC1 and BC2) of four crosses viz. GCH 3 x HS 6, GCH 3 x RST 9, H 1353 x HS 6 and H 1353 x RST 9 was conducted to estimate the gene effects for the seed cotton yield and its attributing traits during kharif 2013-2016. The experimental material was grown in a randomized block design with three replications during kharif, 2015 in Cotton Research Area of CCS Haryana Agricultural University, Hisar. The “t” statistical test was applied to test the differences between parental genotypes for the characters studied before considering the biometrical analysis. The gene effects were estimated by employing generation mean analysis which revealed significant differences for all the characters in all the four crosses. Traits namely boll weight, seed index and seed cotton yield indicated the presence of non-allelic interactions. Dominance component was significant for the characters such as seed index and seed cotton yield. Either all or any of the three types of epistatic interactions (i, j and l) were significant for the cases where simple additive-dominance model was found inadequate.

Key words: Additive, Dominance, Epistasis, Gene effects, Generation mean analysis.

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

Cite this article: Sonika and Sangwan, R.S., Study of Gene Effects for Seed Cotton Yield and Its Attributing Traits in Upland Cotton (Gossypium hirsutum L.), Int. J. Pure App. Biosci.6(2): 208-216 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6275