Department of Agricultural Economics
URI for this collectionhttps://rps.wku.edu.et/handle/123456789/45809
Department of Agricultural Economics
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Item Determinants of Rural Household Income in Gedeo zone Yirga Cheffe woreda(WOLKITE UNIVERSITY, 2025-08) Surafel ShisemaEven though, Yirga chef e Wereda is one of the most cereal crop producers in Gedeozone the rural farming households’ income is very low. Thus, this study, focuse donidentifying the micro-level factors that determining the rural household income in the Wereda. Multi-stage sampling technique was adopted for the selection of sample respondents. The district was stratified in to three kebeles based on distance from woreda's town and three kebeles were selected using simple random sampling. Usingsimple random sampling technique 98 sample respondents were selected from eachkebeles. Data was collected using structured questionnaires and interview. Boththedescriptive and econometrics statistics (OLS estimation model) were appliedfor analyzing data. Descriptive statistics were applied to characterize the sample households’ demographic, economic, institutional and environmental factors. TheOLS estimation result indicated that from nine explanatory variables five variables which are, Education (EDUC) at 5%, of farm activity (OFFA) at 5%, Soil fertility of land (SFERT) at 1%, CREDIT at 10%, improved farm input (IMFI) at 5%significance level. Generally, both the descriptive and econometrics statistics wereanalyzed and clearly interpreted. It is recommended that the farmers should adopt credit; farmers should be allowed to have long term of -farm employment to augment the farming sectorItem FACTOR AFFECTING VALUE CHAIN ANALYSIS OF TEFF: THECASEOF CHEHA DISTRICT, GURAGE ZONE SOUTHERN, ETHIOPIA(WOLKITE UNIVERSITY, 2025-08) RETA MILILUThis research was conducted in Gurage zone cheha woreda to identify the factor af ectingof tef value chain analysis. The specific objectives of the study was to identify actors in tef value chainand their roles,To identify factor af ecting value chain tef supplied to the market, and toidentifythe constraints and opportunity in tef value chain in the study area. From the study I usedbothprimary and secondary data source. The primary data was collected from 92 producers throughinterview, observation, and prepared questionnaires in sample respondents. The secondarydatawas conducted in written document, published and unpublished martial and other websites. Theresearcher used multiple regression model to identify the factors af ecting quantity of tef supplied to the market, from 9 explanatory or independent variable 4 variables’ are significant such as family size, quantity of tef produced , sex of household, and access tomarket information’s. Generally value chain analysis of tef was participate many actors such as input supplier, retailer, producer,and wholesaler. The result indicates there were opportunities andconstraints. The constraints were lack of access to market information, access to credit, soil erosion, no enough supply of input like quality of seed fertilizer, equipment and harvestedmachineries. The opportunities include the actors involved in quantity of tef supplied tomarketswere get value, and increase the linkage of actors through sharing of information. Sovaluechain is important today in the world to increase and income of each individual. Basedontheresult I recommended the government and other organizations supply availability of rawmaterials, access to credit to increase market supply of tef , develop educational training, andaccess to market information’s.Item MAPPING THE SPATIAL VARIABILITY OF SOIL ACIDITYANDEVALUATION OF PHYSICO-CHEMICAL SOIL PROPERTIES:- INCASEOF DEWOSHE SUB-WATERSHED, GUMMER DISTRICT, GURAGEZONE , ETHIOPIA(WOLKITE UNIVERSITY, 2022-06) MULUYE TAFERE DEMISMapping the spatial variability of soil acidity and evaluation of physico-chemical soil properties on the study area is important to design appropriate soil fertilitymanagement practices. Mapping the spatial variability is a key operation as it provides knowledge about soil acidity and how it can be used sustainably. The studywas conducted at the Dewoshe sub-watershed Gummer district, Guraghe Zone, SNNPR, Ethiopia. Twenty-eight soil samples were collected from two crop types withseven replication at two soil depths (0–20 and 20–40 cm), respectively. Theevaluation of physico-chemical soil properties were analyzed using the ANOVAGLMprocedure of SAS software, and mapping the spatial variability of soil acidity wereanalyzed using Arc GIS 10.4. Furthermore, the study has investigated that variousphysico-chemical soil properties were profoundly influenced due to crop types andsoil depths. Soil BD, total porosity, and exchangeable acidity, TN, OM, and C: N, available P, exchangeable Mg, CEC, and exchangeable acidity were significantly ected due to Enset and cereal crops, soil depths, and their interaction between croptypes and soil depths. In contrast, sand, silt, and clay fraction and change of pHexhibited no statistically significant variation within the crop and their interaction between crop types and soil depths. But there was a variation of sand and clay on soil depths. Exchangeable (K, Na, and H) were only varied in crop types. The change of pH, exchangeable Al, and Ca were varied within crop types, soil depths, and their interaction between crop types and soil depths and only within crop types and soil depths, respectively. The highest and the lowest values of some physico-chemical soil properties of sand, clay, BD, total porosity, pH-H2O, pH-KC, OM, TN, available P, and CEC were (38.9, 34.4 ), (23.07, 19.4), (1.35, 1.07), (59.7, 49), (6.27, 4.84), (5.67, 4.1), (4.58, 0.79), (0.26, 0.07), and (28.6, 15.6) within cop types, and soil depths respectively. Cereal crop fields as compared to the Enset crop fields were sufere from soil degradation and decline in soil fertility on the spatial points of beginning at strong to steep slope mapping parts with the same soil depths. But both in the study area, in general, pointed out that these changes are not in favour of the ecosystem and caused deterioration in the quality of soil resources which in turn led to a decline in agricultural crop productivity. This calls for urgent measures to be takenthat encompass a mix of technological and policy options. Further research and development interventions into the dynamics and impact of crop land-use change onecosystems and their components at various scales (from small sub-watersheds toregion and country) are required if conservation and agricultural development goalsfor this sub-watershed in particular and the country in general, are to be met onasustainable basis. And again, mapping the spatial variability of soil acidic problemsby OK is needed to clearly show the specific locations of the study areas, whereattention is required with respect to sustainable management of crop nutrients.Item EFFECT OF SEEDING AND HERBICIDE APPLICATION RATES ON GROWTH AND YIELD OF FOOD BARLEY (Hordeum vulgare L.) IN CHEHA DISTRICT, GURAGE ZONE, CENTRAL ETHIOPIA(Wolkite Universty, 2024-06) BEHARU BEREDA SHAWYEBarley is a major cereal crop in the highlands of Ethiopia and serves as a vital source of food, animal feed, and alcohol. However, weed infestation poses a significant challenge, leading to substantial yield reductions. Hence, to address this issue, a study was conducted during the main cropping season in 2022 in Cheha District. The objective was to assess the effect of seeding and herbicide application rates on the growth and yield of barley. The experimental setup consisted of three seeding rates (75kg/ha, 100kg/ha, and 125kg/ha) and three herbicide rates/AXIS 50EC (0.75l/ha, 1l/ha, 1.25l/ha, twice hand weeding, weed-free, and weedy). The study utilized a randomized complete block design with a factorial arrangement, and each treatment was replicated three times. The study revealed that broadleaved weed species dominated the studyarea, accounting for 82.6% of relative density, while grasses constituted 17.4%. The interaction between herbicide application and seeding rates significantly (p<0.05) influenced number of days to heading and maturity, total number and productive tillers per plant, thousand grain weight, number of grains per spike, aboveground biomass yield, and grain yield of barley. The highest yield and yield components of barley were observed with a seed rate of 125 kg, combined with two hand weeding and the application of 1.25l/ha AXIS 50EC. Treatments involving the application of0.75l/ha AXIS 50EC with75 kg seed rate resulted in the highest dry biomass weight for both broad-leaved and grass weed species. The maximum grain yield (5030 kg/ha) was achieved with twice hand weeding when sown with a seed rate of 125 kg. In contrast, the lowest grain yield (1600 kg/ha) was recorded with the application of 0.75l/ha AXIS 50EC and a seed rateof 75 kg. The economic analysis indicated that the combination of a 125 kg seed rate with the application of 1.25l/ha AXIS 50EC produced the highest net benefit and MRR (604.01%). In conclusion, sowing barley at a seed rate of 125 kg and applying AXIS 50EC at 1.25l/resulted in optimal growth and grain yield for the crop. Since the experiment was conduction one location and season, it should be repeated over season and location for further recommendation.Item RESPONSE OF CHICKPEA (Cicer arietinum L.) TO VARIETIES, INOCULATION WITH MESORHIZOBIUM STRAINS, AND APPLICATION OF BLENDED NPSB FERTILIZER AT CHEHA DISTRICT, GURAGE ZONE, SOUTHERN ETHIOPIA(Wolkite University, 2025-01-30) GASHAW NAHUSENAY GEBRE-EGZIABHERChickpea (Cicer arietinum L.) is a major legume crop in Ethiopia and provide multiple” “benefits, due to high nutritive value as well as the ability of the crop to enrich nitrogen poor” “soils due to biological nitrogen fixation with different strains of endosymbiotic” “Mesorhizobium spp. However, the effectiveness of the strains varies due to inherent” “physiological characteristics of the endo-symbionts, the host varieties, and nutrient” “availability in the soil. Its’ cultivation in the study area is constrained mainly by low soil” “fertility (low N, low soil OM, low available P, S and B) causing ineffective nodulation, and” “lack of improved agronomic practices. Therefore, the field experiment was conducted during” “the main cropping season of 2021/22 at Cheha district in Buchach Kebele with the objective” “of evaluating the effect of inoculation with Mesorhizobium strains and NPSB fertilizer” “application on nodulation, growth, and yield performance of different chickpea (Cicer” “arietinum L.) varieties. Factorial combinations of three Mesorhizobium strains CP-M41,” “CP-EAL 029, CP-M20b, and un-inoculated control, two NPSB levels (0 and 121 kg NPSB” “ha-1) and two chickpea varieties (Local and Arerti) were laid out in randomized complete” “block design (RCBD) with three replications. Analysis of variance showed that crop” “phenology, nodulation parameters, growth parameters, yield and yield components were” “significantly affected by the main effects. The effect was more pronounced in the interaction” “effect of different Mesorhizobium strains with NPSB application and varieties. The maximum” “values of most studied parameters were found from Arerti variety at the combined” “application of CP-M41 Mesorhizobium strain with NPSB fertilizer (121 kg ha-1) as” “compared with the single application and the control. The highest grain yield (3177.16 kg” “ha-1) was recorded from the use of Arerti variety at the combined application of NPSB” “fertilizer with CP-M41 Mesorhizobium strain, which resulted in 15.96%, 24.06% and” “37.93% increment over the use of Arerti x CP-M41 strain, Arerti x NPSB, and the control,” “respectively. From the economic point of view, the partial budget analysis of the study” “treatments revealed that the highest net return (102,092.6 ETB ha-1) with an acceptable” “marginal rate of return (618%) was gained from Arerti variety with the combined” “application of 121 kg NPSB ha-1 and Mesorhizobium strain CP-M41 inoculation. Hence, it” “can be concluded that the use of Arerti variety with combined application of 121 kg NPSB” “ha-1 with CP-M41 strain is found to be an appropriate combination to get higher yield and” “profit of chickpea crop at the study area. However, verification of the result on farmers’” “fields across season and areas could be required before wide use of this study to put the” “recommendation in firm ground.” “