Nasim Akhshi, Kianoosh Cheghamirza, Hadi Ahmadi, Farhad Nazarian Firouzabadi
Agronomy and Plant Breeding group, Faculty of agriculture, Lorestan University, Khorramabad, Iran
Agronomy and Plant Breeding Department, Razi University, Kermanshah, Iran
Biotechnology Research Department for Drought Resistance, Razi University, Kermanshah, Iran
Key words: Three-parameter model, Hayman six parameters model, heritability, genetic advance, common bean.
Six generation (P1, P2, F1, F2, BC1 and BC2) derived from two crosses ((A.1007 × DER.) and (GOLI × D81)) of common bean were grown in a randomized complete block design with three replication in 2010 at research field of Razi University, Kermanshah, Iran. Experiment was executed to estimate different genetic effects of five morphological traits (plant height, node number of main stem, node number of lateral branches, internode length and internode diameter) in common bean by using generation mean analysis. Results of analysis of variance showed that there was a genetic variation for traits. The results of generation mean analysis with three-parameter genetic model and also scaling tests (A, B, C and D) revealed inadequacy of the additive-dominance simple model to demonstrate the genetic mechanism controlling the traits. Hayman six parameters genetic model showed that dominance and epistasis effects were important in the inheritance of plant height, node number of main stem and node number of lateral branches, wheras only epistasis effect was important for internode length and internode diameter inheritance. Dominance effect had a more pronounced effect in genetic control of all characters. Furthermore, results of the study demonstrated existence of duplicate type of epistasis for most traits. Broad-sense heritability estimates were greater than narrow-sense heritability for all traits in both crosses. The genetic advance estimates were low for all the traits except for plant height in GOLI×D81083 cross.
Get the original articles in Source: Volume 4, Number 4, April 2014 – JBES
Published By: International Network for Natural Sciences