The objective of this study is to run CERES maize simulation model of DSSAT to suggest appropriate agronomic practices to obtain high yield.The simulation study was undertaken with six locations, five maize varieties and three spacing and.A total of simulation runs were made to work out the effect of all the treatments.The agricultural sector constitutes nearly of the value of the national income and about of the national export revenue.To a large extent the sector is characterized by traditional production systems which rely on indigenous varieties whose overall productivity is low.Over of the maize produced in this region is grown by smallholders under a wide range of agronomic practices, soilclimatic and socioeconomic conditions.Beside the contribution of the zone to the countrys food basket, there exists a large gap between national average. Among the agronomic factors responsible for low yield of the region are low plant population, <a href="http://www.targetmol.com/compound/Delta-Gluconolactone">sell
Delta-Gluconolactone</a> application of inadequate amount of fertilizers and use of low yielding varietiescultivars are of prime importance. Crop row spacing is an important agronomic management factor affecting the productivity of maize. Row spacing has a special significance since it is ultimately related with plant population, root development, plant growth and development. Maize is well known for its high demand of nutrients therefore in addition to other agronomic practices, fertilization is most important factor for high crop productivity. This is an established fact that nitrogen promotes plant growth.Always conducting the field experiments to get the response of various treatments known is a time, labor land and finance consuming exercise.This is being constantly updated and researchers and planner around the world are using it. For cereal crops a number of CERES models specific to crop are incorporated in the DSSAT.It also provides a framework for scientific cooperation through research to integrate new knowledge and apply it to research questions.The climate varies from semiarid to high rainfall in highland areas with cool temperatures.Soils are highly weathered and leached, frequently acidic and of relatively low fertility.This included clay, horizon thickness, surface soil physical characteristics such as soil class and color, slope and drainage condition.Taking into account the six locations, five cultivars, five nitrogen doses and three plant spacing a total of. MZX files were created to run the CERES maize model.Cultivars more or less cultivatedavailable in that region are used in the simulation to determine their suitability to that particular region.Genetic coefficients of the maize varieties used in the simulation were already available in the DSSAT.The simulation was made up to the stage when crop plants reached maturity. Agro climatically also all the sites varied recording the rainfall ranging from mm annum.Rest of the sites had low productivity potential of maize.In order to improve the productivity of maize in the entire southern highlands, land reclamation work to improve their soil pH and total nitrogen may be undertaken.Since the soil of the region is deficient therefore the response to nitrogen doses was remarkable.This simulation study shows the need of popularizing the nitrogen application in maize for improving the production of maize in the area.