Diallel Analysis of Bean Yield and Some Morphological Traits Under Normal and Water Stress Conditions by Griffing Method

Subject Areas : New Finding in Agriculture

Sh. Khaghani ¹ (Islamic Azad UniversityArak Branch, Department of Agronomy And Plant Breeding)

Received: 2017-04-28 Accepted : 2017-04-28 Published : 2016-01-21

Keywords: Common Bean (Phaseolus vulgaris L.), Diallel analysis, Normal condition, Water Stress condition,

Abstract :

Common bean (Phaseolus vulgaris L.) is the most important grain legume for human consumption, and water stress affects over 60 % of dry bean production worldwide. In order to diallel analysis evaluation of bean grain yield and Some morphological traits under normal and water stress by Griffing method, an experiment was conducted on six genotypes of red, in a randomized complete block design with three replications under stress and non-stress at the Arak Islamic Azad University. The experiment consisted of 21 genotypes that six genotypes of parents and the rest of the F2 generation crosses on them. The results showed that, given that general combining abilities (GCA) was significant for most traits in both conditions, the additive gene effects in controlling these traits is very important. The specific combining ability (SCA) was significant in a number of traits that have been the role of non-additive effects. Significance of the GCA / SCA traits indicates that these traits additive gene effects were more important than non-additive effects. Yield controlled by additive and non-additive effects under water stress conditions. In both conditions, non-additive variance (dominance effect) is more important to control of yield trait. GCA highest   in yield trait was related to genotype Sayad and was the lowest Akhtar genotypes under non-stress condition; highest significant general combining ability has shown for Ks31169 under water stress in yield trait. Cross of Akhtar×AND1007 under non-stress condition, and crosses of Akhtar×Ks31169 Goli×D81083 under water  stress, has shown the highest SCA for yield trait.

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