Seyed Ali Moetamadi Poor, Mohtasham Mohammadi, Gholam Reza Bakhshi Khaniki, Rahmat Allah Karimizadeh
Department of Agricultural Science, Payame Noor University, Karaj Center, Karaj, Iran
Research Center for Agriculture of Gachsaran, Gachsaran, Iran
Key words: Wheat, Drought stress, Stepwise regression, Path analysis.
The study of relationships between plant traits particularly grain yield and its components has resulted in the selection of a components which contribute to an increase in grain yield. The objective of the present study was to investigate the relationship between grain yield and their components under drought stress conditions and identify the most effective grain yield components using 18 wheat genotypes. Correlation analysis of grain yield and its components showed that grain yield had a positive correlation with traits including agronomy score, 1000-grain weight, grain weight per spike, total spike weight and number of grains per spike. Stepwise multiple linear regression interpretation also indicated that 92% of variation in seed yield attributed to variation which arose from agronomy score, number of grains per spike, leaf chlorophyll content and 1000-grain weight. Result of path coefficient analysis showed that 1000- grain weight had the most direct effect on grain yield. Generally based on the results of correlation coefficients, stepwise multiple regression and path coefficient analysis, agricultural score, number of grains per spike, thousand grain weight and total spike weight are regarded as the most effective components on grain yield. So, it is recommended to pay more attention to these traits in the improvement programs of wheat in order to increase grain yield.
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