The Study of Genetic Variation of Bean (Phaseolus vulgaris L.) Based on Morphological Traits Under Normal and Stress Conditions

KESHAVARZNIA, REZA; MOHAMMADI NARGESI, Behrooz; ABASI, Alireza

doi:10.22059/ijfcs.2013.35119

The Study of Genetic Variation of Bean (Phaseolus vulgaris L.) Based on Morphological Traits Under Normal and Stress Conditions

Document Type : Research Paper

Authors

REZA KESHAVARZNIA ¹

Behrooz MOHAMMADI NARGESI ¹

Alireza ABASI ²

¹ Graduate students, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

² Assistant Professor, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

10.22059/ijfcs.2013.35119

Abstract

Legumes are the second important source of food and consumption of legumes in Iran, similar to other countries, mainly due to consumer demand as human food. Common bean has first ranked among legumes in the world with an annual production of 20 million tons. In this research morphological and agronomic characteristics of 89 genotypes of Bean) Phaseolus vulgaris .L) were evaluated in an augment design under irrigated and drought stress conditions in research field of University of Tehran in Karaj in 2011. Relationships among different characteristics using multivariate statistical analysis methods were analyzed. The result of coefficient correlation analysis revealed significant positive correlation between yield and pod number, seed weight and seed number per pod under normal condition. Also there was a significant positive correlation between yield and pod number, seed weight and seed number per pod under stress condition. Regression analysis by stepwise method showed that number of pods, number of seeds per pod, seed weight, number of flower in normal condition and number of pods, numbers of seeds per pod and seed weight in stress condition have the most effects on yield. Factor analysis of 4 factors described almost 78.5 and 77.3 percent of total variance under normal and stress conditions, respectively.

Keywords

Bean

Genetic diversity

Drought stress

Stepwise regression

factor analysis