Twenty-five local and exotic wheat genotypes (Triticum aestivum L.) had evaluated to establish genetic variability, correlation coefficient, parameters, the interrelationships, direct and indirect effect and stepwise regression of various wheat components on grain yield. The study was conducted on the Experimental Farm of Gemmeiza Agriculture Research Station, Egypt during two seasons (2018/2019 and 2019/2020). Mean square analysis for the studied characters showed highly significant differences between most of the studied characters except, no. of spikes/m2 in the second season. According to the results of mean performance, it may be noted that the studied genotypes out yielded grain yield /plot of the overall of the two years. The results of genetic parameters indicated that, both of phenotypic and genotypic coefficients of variation reflected high values, which estimated for three characters; Grain yield /plot followed by grain filling rate and spike weight, respectively. Broad sense heritability cleared that there was graduation for all of studied characters, which values ranged from 50.57 for no. grains/ spike to 93.06 for days to maturity. Three characters; days to heading, days to maturity and plant height gave a small significant values with grain yield character as well as no. spikes/m2 for phenotypic correlation. Meanwhile, the remain studied characters may showed highly significant values for both of phenotypic and genotypic correlations and could be considered as a good criteria for selection to improve the performance of grain yield. The results for path coefficient illustrate that, the most important sources of variation in grain yield are the direct effect of spike weight followed by 1000-kernel weight. As for a positive indirect path coefficient; seven positive indirect path coefficients were found as follow: grain filling rate had the highest indirect effect, an appreciable indirect effect via spike weight followed by the relationship between grain filling rate via no. spike/m2, grain filling rate via no. spikes/m2, grain filling period via spike weight, spike weight via no. spike/m2, grain filling period via no. spikes/m2 and grain filling period via no. spike/m2. On contrary, two negative indirect path coefficients appeared among 1000-kernel weight via spike weight and 1000-kernel weight via no. spike/m2. Stepwise regression analysis showed that, grain filling period, grain filling rate and plant height as important traits affecting grain yield in wheat