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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 2
First page : (1011) Last page : (1017)
Article doi: : http://dx.doi.org/10.18782/2320-7051.5982

Genetic Variability, Heritability and Genetic Advance in Soybean

G. Neelima*, S. P. Mehtre and G. W. Narkhede

Department of Agricultural Botany (Genetics and Plant Breeding)
Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402 (M. S.)
*Corresponding Author E-mail: neelimaneelu107@gmail.com
Received: 9.011.2017  |  Revised: 27.12.2017   |  Accepted: 2.01.2018  

 

 ABSTRACT

The experiment was conducted to estimate the genetic variability in 124 diverse soybean germplasm accessions. The variability parameters like mean, range of variation, genotypic and phenotypic coefficient of variation, heritability in broad sense, genetic advance and genetic advance as percentage of mean were estimated for 13 different characters. The values of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV) for all the characters indicating the influence of environmental factors. The magnitude of heritability was observed to be high for all the characters under study indicated that the larger portion for total variation would be under genetic control and selection based on phenotypic levels would be useful for the improvement of these traits. High estimates of heritability coupled with high genetic advance expressed as percentage of mean were observed for plant height, number of branches per plant, number of pods per plant and seed yield per row which may be attributed to the preponderance of additive gene action and possess high selective value and thus, selection pressure could profitably be applied on this character for their improvement.

Key words: Genetic advance, GCV, PCV, Heritability.

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

Cite this article: Neelima, G., Mehtre S. P. and Narkhede G. W., Genetic Variability, Heritability and Genetic Advance in Soybean, Int. J. Pure App. Biosci.6(2): 1011-1017 (2018). doi: http://dx.doi.org/10.18782/2320-7051.5982

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