Worku, Yalelet Abie
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Effect of Ridging and Tie-Ridging Time on Yield and Yield Component of Sorghum in Northern Ethiopia Worku, Yalelet Abie
International Journal on Food, Agriculture and Natural Resources Vol 6, No 2 (2025): Ij-FANRes
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v6i2.258

Abstract

  Abstract                    Water deficit and poor fertility of soil are among the main constraints for sorghum production in northern Ethiopia's semi-arid regions. A field experiment was carried out at Lasta and Sekota districts of the Eastern Amhara Region in Ethiopia to evaluate the effects of Ridging and tie-ridging time on the yield performance of sorghum (Sorghum bicolor). The experiment consisted of eight treatments of ridging time & time of tie (Tie-ridging at planting, Ridge at planting tying 2 Weeks After Planting, Ridge at planting tying 4 Weeks After Planting, Tie-ridging 3 Weeks After Planting, Ridging 2 Weeks After planting & tying 4 Weeks After Planting, Ridge 3 Weeks After Planting & tying 6 Weeks After Planting, Tie-ridging 6 Weeks After Planting); including Shilshalo as a control farmer practice which was arranged in a randomized complete block design (RCBD) with three replication. The experiment revealed that ridging and tie-ridging time has a significant effect on the yield of sorghum. Based on the result,- ridging at planting increased the yield of sorghum by about 37.9 % at Sekota (Aybira) relative to the control (farmer practice), and Tie ridging 3 weeks after planting increased sorghum yield by 30.11% at Lalibela as compared to the control (farmers practice). The highest yield of 3.642 tons/ha and 1.903 tons/ha was obtained from tie ridge at planting for Sekota (Aybira) and tie ridging 3 weeks after planting at Lalibela. Therefore, tie and ridge at planting could be appropriate for sorghum production at Sekota (Aybira) and sorghum growing areas. However, tie-ridge 3 weeks after planting could be appropriate for sorghum production at Lalibela (Kechinabeba) and growing areas.Keywords: - Sorghum, Tie ridge,  water deficit and yield
Comparison of SWAT and WEPP for Modeling Annual Runoff and Sediment Yield in Agewu - Mariyam Watershed, Northern Ethiopia Worku, Yalelet Abie; Moges, Awdenegest; Kendie, Hailu
International Journal on Food, Agriculture and Natural Resources Vol 5, No 1 (2024): IJ-FANRes
Publisher : Food, Agriculture and Natural Resources - NETWORKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46676/ij-fanres.v5i1.280

Abstract

The Soil and Water Assessment Tool (SWAT) and the Geographic Water Erosion Prediction Project (Geo-WEPP) were applied to compare modeling of annual runoff and sediment yield in the Agewmariam watershed, eastern Amhara Region, Ethiopia. Spatial and temporal data distributions were required as inputs to run both models. Soil texture and other soil properties were measured in the field and in the laboratory, and soil maps were generated from global digital soil maps. Land use maps were created by manually digitizing Google Earth images. Watersheds were defined using watershed DEMs and gradient maps were created for each runoff event. Runoff samples were collected and analyzed for sediment concentrations in the laboratory; average annual runoff and sediment volumes were estimated using the WEPP and SWAT models. The results were satisfactory compared to the observed values, with R2 values of 0.86 and 0.91 for the SWAT and WEPP models, respectively, and NSE values of 0.54 and 0.71 for the monthly runoff. The estimated annual mean runoff and sediment yield at the watershed outlets were 65.54 mm, 146.14 mm, 43t/ha/yr and 41.7t/ha/yr for the WEPP and SWAT models, respectively. Several sub watersheds were determined to be susceptible to soil erosion and were prioritized, so more attention was given to this area to reduce runoff and soil erosion. Therefore, the SWAT and WEPP models were suitable for estimating annual runoff and sediment volumes. Sediment yields simulated from both models were high and alarming and far exceeded the allowable rate of soil loss.