In Ethiopia, bread wheat is one of the most important strategic cereal crops. Ethiopian government is putting a great effort to increase productivity and production of bread wheat using irrigation to narrow the gap between demand and supply which is resulted from low productivity and limited intensification of the crop and to provide food for the population growing at alarming rate. Thus, the present research was initiated to assess the optimum seeding rates of different varieties of wheat for maximum yield in Jawi, low land area of northwestern Ethiopia using irrigation during off season in 2020/2021. The experiment was laid out using randomized complete block design with three replications in factorial arrangement of five levels of seeding rates (100, 125, 150, 175 and 200 kg ha ) and three bread wheat varieties (Fentale-2, Kakaba and Ogelcho). Data of phenological, vegetative growth and yield related parameters were collected and analyzed using SAS software. Results revealed that both the main effects of seeding rate and variety affected most of phenological, growth and yield related parameters of bread wheat except days to emergence. The interaction of seeding rate and variety significantly affected on days to heading, number of effective tillers, grain yield and thousand kernels weight. From the present results it has been observed that, biomass yield, grain yield and straw yield were significantly increased as the seeding rate was increased from 100 to 200 kg ha whereas spike length, number of kernels per spike and thousand kernels weight were significantly decreased as seeding rate increased. Fentale-2 and Ogelcho at a seeding rate of 200 kg ha -1 and Kakaba at a seeding rate of 175 kg ha -1 gave significantly higher grain productivity (3.99, 3.5 and 3.4 t ha -1 ), respectively. Besides, 200 kg seed ha with variety Fentale-2 was found to be the best economically profitable combinations with a net benefit of 65,778.8 Birr ha -1 -1 -1 -1 and can be recommended for lowland irrigated areas of Jawi and similar agro ecologies. However, as this result is one season and one location experiment, it is necessary to repeat this experiment across different locations and over seasons to come up with practical recommendations.