Correlation and Path Analysis of Yield and Yield Components of Safflower Genotypes under Late Season Drought Stress Conditions

Subject Areas : Journal of Crop Ecophysiology

Seyedeh Zahra Hosseini ¹

1 - Scientific Staff Member, Department of Biology, Faculty of Basic Sciences, Khatam -Alanbia University of Technology, Behbahan, Iran

Received: 2015-09-06 Accepted : 2016-09-13 Published : 2016-10-22

Keywords: analysis of variance, stepwise regression, Seed weight, genetic correlation,

Abstract :

To calculate correlation coefficients and path analysis of some traits related to grain yield, 15 genotypes of safflower were studied under non-stress and drought stress conditions at two different sites (with 10 meter distance) in the field of College of Agriculture of Lorestan University, Iran. Each experiment was conducted in a randomized complete block design with three replications. Analysis of variance showed that there were significant differences among the genotypes for all measured traits and yield in both stress and non- stress conditions. By using stepwise regression, best model was estimated for the two conditions. Sequential path analysis of the correlation between grain yield and other traits showed that days to start flowering, 1000-seed weight and stem diameter had direct effects on grain yield under non-stress conditions, while under drought conditions, seed weight per plant and 1000-seed weight had direct and positive effects on grain yield. Thus, to obtain high yielding varieties of safflower under drought stress condition, we showed attempt to select varieties with high seed weight per plant.

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