Correlation, Path and Regression Analysis in Some Bread Wheat ( Triticum aestivum L) Genotypes under Normal Irrigation and Drought Conditions | ||
| Egyptian Journal of Agronomy | ||
| Article 2, Volume 40, Issue 2, August 2018, Pages 133-144 PDF (1 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/agro.2018.3109.1097 | ||
| Author | ||
| Hassan Fouad* | ||
| Department of Agronomy, Faculty of Agriculture, Minia University, Minia, Egypt | ||
| Abstract | ||
| THE OBJECTIVE of this study was to assess correlation, path and regression analysis in 39 F6 bread wheat (Triticum aestivum L) genotypes during two seasons, i.e., 2015/2016 (F7) and 2016/2017 (F8) under irrigation and drought stress conditions at Fac. Agric. Edu. Farm, Minia University, Egypt. A positive correlation was found between grain yield and each of the number of spikes/plant and number of grains/spike under the two conditions. Path analysis revealed high positive direct effects on grain yield/plant via the number of grains/spike (0.929) under irrigation and number of spikes/plant (0.973) under drought. The direct effect of 100-grain weight on grain yield/plant was positive under irrigation (0.649) and drought (0.260). The indirect effects of these traits were negative under the two conditions. Stepwise regression analysis revealed that three models no. 8, 9 and 10 were fitted for each environment. The model no. 8 included one trait; the number of grains/spike under irrigation and number of spikes/plant under drought. Its relative contributions in grain yield were 0.180 and 0.693 under irrigation and drought; respectively. The model no. 9 in the two environments included two traits; the number of grains/spike and number of spikes/plant, its relative contributions in grain yield/plant were 0.544 and 0.836 under normal and drought conditions, respectively. The model no. 10 included three traits number of grains/spike, number of spikes/plant and 100-grain weight, its relative contribution in grain yield/plant were 0.0.931 and 0.978 under normal and drought conditions, respectively. This model no. 10 is fit and superior to use in selection for grain yield/plant. | ||
| Keywords | ||
| Bread wheat ( Triticum aestivum L); correlation; path; regression; Drought stress; stepwise | ||
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