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Vol. 12, Issue 11 (2023)

Investigating the role of genes in determining fibre quality and oil content in upland cotton (Gossypium hirsutum L.) through generation mean analysis

Author(s):
Rajesh J Panchal, KV Vadodariya, Kalpesh G Raval and Rukhsar C Bamji
Abstract:
Cotton is one of the most important cash crops having global significance in relation to economics and social affairs. With this, knowledge of inheritance pattern of various gene(s) involved in fibre parameters and oil content is important for deployment of appropriate breeding strategy to improve them. In the present study, various genetic effects underlying such pattern of inheritance and their interactions were determined based on generation mean analysis of quantitative genetics. A total of four diverse experimental crosses and their six different generations viz., P1, P2, F1, F2, BC1 and BC2 were separately evaluated in the Compact Family Block Design (CFBD) with three replications during kharif 2022-23. An ANOVA indicated highly significant mean sum of square for all the characters in all of the four crosses. A best fit model of six parameters of generation mean analysis depicted the importance of additive and non-additive or additive and dominant gene actions for fibre length, fibre fineness and fibre strength whereas importance of additive and dominant gene actions for oil content. Duplicate type of epistasis was also observed in one or more crosses for all the four characters.
Pages: 1926-1933  |  158 Views  111 Downloads


The Pharma Innovation Journal
How to cite this article:
Rajesh J Panchal, KV Vadodariya, Kalpesh G Raval, Rukhsar C Bamji. Investigating the role of genes in determining fibre quality and oil content in upland cotton (Gossypium hirsutum L.) through generation mean analysis. Pharma Innovation 2023;12(11):1926-1933.

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