Relationship of some agronomic traits affecting grain yield in bread wheat recombinant lines under salinity stress conditions

Subject Areas : Agroecology Journal

Sajad Soori ¹ , Amin Baghizadeh ² , Ghasem Mohammadi-nejad ³

1 - Master of Plant Breeding Graduate University of Advanced Technology Kerman, Iran
2 - Associate professor of Biotechnology Department Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced Technology Kerman, Iran
3 - Associate professor College of Agriculture Shahid Bahonar University of Kerman Kerman, Iran

Received: 2016-03-15 Accepted : 2016-10-30 Published : 2016-10-22

Keywords: o stepwise regression, o common wheat, o inbred line, o path analysis, o salinity tolerance,

Abstract :

Soil salinity is one of the abiotic stresses and a major problem to have a high yield in wheat. To awareness of relationship between agronomic traits and grain yield in salinity and to determine the traits affecting yield and tolerance to salinity, the Correlations coefficients of different traits and path analysis of grain yield in salinity conditions were investigated. 322 recombinant inbred lines of wheat derived from crosses Roshan and Falat with parents were evaluated in simple lattice design 18 x 18 with two replications. The Experiment was conducted in the 2013-14 crop season at a farm in Ekhteiar Abad in Kerman with EC = 12 ds/m. The simple correlation coefficient among grain yield and the most of evaluated traits had significant positive correlation. The total weight of spikes per plant had the highest positive correlation and significantly with yield. Stepwise multiple regression analysis method showed that the total weight of spikes per plant, harvest index, biological yield and Number of fertile tillers were the most effect on grain yield. Path analysis based on variables in the final stepwise regression analysis showed that biological yield and harvest index had high direct effect on grain yield. Line number 56 having a higher yield than the parents and the other lines was selected as the best genotype in studied conditions.