Study of gene effects and genetics of transgressive segregation for yield and its components in basil (Ocimum basilicum L.)
Abstract: Seven crosses of (Ocimum basilicum l.) involving thirteen were selected on the basis of generation mean analysis to study genetics of transgressive segregants for number and length of inflorescence, fresh and dry herb yield, and oil content. Generation mean analysis with three parameter model with ?2 test indicated that additive-dominance model was inadequate for all the traits in all the crosses except those for oil content used of six parameter model to estimate the gene effects. Three parameter models with ?2 test significantly indicated that non-allelic interaction was present. The generations mean analysis from both the sources was equally efficient in additive-dominance model. A comparison of generation mean analysis for observed and predicted frequencies of transgressive segregants indicated that the potential crosses for transgressive segregants were those that had additive and dominance gene effects. Prediction for transgressive segregants from F2 was more accurate other then generations. Significant differences between predicted and observed transgressive segregants for most of the traits in F2 population were observed in basil. The present study indicated that early generation selection is effective and should be practiced for future breeding program.
[Y.P. Singh, S.S. Gaurav and Dinesh Kumar (2014); Study of gene effects and genetics of transgressive segregation for yield and its components in basil (Ocimum basilicum L.) Int. J. of Adv. Res. 2 (8). 0] (ISSN 2320-5407). www.journalijar.com
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