ESTIMATES OF STABILITY PARAMETERS AND PATH ANALYSIS FOR SOME WHEAT GENOTYPES UNDER DIFFERENT ENVIRONMENTS | ||
| Journal of Plant Production | ||
| Article 5, Volume 33, Issue 10, October 2008, Pages 7053-7061 PDF (485.8 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jpp.2008.171222 | ||
| Authors | ||
| S. M. Salama1; R. A. Ramadan2; S. S. Awaad1 | ||
| 1Field Crop Institute; Lab., for Design and Statistcal Analysis. Res., A.R.C. Giza, Egypt | ||
| 2Field Crop Institute, Wheat Res. Section (A.R.C.) Giza Egypt | ||
| Abstract | ||
| Ten wheat genotypes (Triticum aestivum L.) were evaluated for yield and attributing characters under four environments(two locations x two seasons .The genotypes were; Sakha 93, Sakha 94, Giza 168, Sids 1, Sids 3, Sids 5, Gemmeiza 3, Gemmeiza 5, Gemmeiza 7 and Gemmeiza 9. The mean performance, phenotypic stability and interrelationship between various characters were computed as well as path coefficient. The results indicated that, significant genotypes; genotype x environment, environmental linear and genotype x environment linear variance for all studied characters. Regression coefficient (b) deviated significantly from unity (b > 1) for genotypes, Sids 1, Sids 3, Sids 5 for all characters aproximately; indicating that the genotypes were adapted to favorable environments. The “b” value deviated significantly from unity and was less than one (b < 1) in Gemmeiza 7 for flag leaf area, number of spikes / plant, Sakha 93 for flag leaf area, plant height number of spikes/plant, number of spikelets/spike and 1000-grain weight and Giza 168 for number of spikelets / spike, 1000-grain weight and grain yield / plant, genotypes for considering the stability parameters (C.V% and S2d accompanished with mean performance (X), the most desired and stable wheat genotypes were Gemmeiza 9 for all studied characters except number of spikes/plant . While Sakha 94 was stable for number of spikes/plant and grain yield / plant. Correlation coefficients values were positive and significant between yield and its component for all studied characters except plant height. Path coefficient analysis indicated that number of spikes/plant and 1000-grain weight were the most prominent direct effects on grain yield / plant while number of spikes/plant, number of grains/spike and 1000 grain weight proved to have the highest indirect contribution to grain yield /plant. | ||
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