This study aimed to determine the seasonality, feed balance, and copying mechanisms oflivestock feed in the east Gojjam Zone of northwestern ethiopia. to collect the data, the zonedivided into three agroecologies (lowland, midland, and highland) and randomly selected twodistricts from each agroecology to represent appropriate agroecologies. the study involved540 respondents – 45 from each peasant association – and utilized key informant interviews,focus groups, questionnaires, and direct observations for data collection. According to thefindings, the study reveals that feed availability in all agroecologies fluctuates seasonally. thetotal dry matter and crude protein supplies per household per year in highland, midland, andlowland agroecologies were 8.69, 15.49, and 14.94 tons, and 0.05, 0.91, and 0.90 tons,respectively. the yearly dry matter and crude protein requirements for livestock in highland,midland, and lowland agroecologies were 11.9, 22.2, and 19.5 t/hh/yr, and 1.4, 2.6, and 2.5 t/hh/yr, respectively. the total amounts of dry matter and crude protein produced in the studyareas satisfied only 73.3, 69.7, and 76.6%, and 32.1, 35.5, and 36.3% of the livestockrequirements in the highland, midland, and lowland agroecologies, respectively. Producers inthe study areas employ strategies such as purchasing feed, preserving crop residue, andreducing herd sizes to address livestock shortages of dry matter and crude protein. to addressthe issue, a new strategy should be employed, including managing natural pastures, increasingforage crop cultivation, providing protein-rich feed, and improving crop residue quality usingeffective microorganisms.

Background: Edible oil manufacturing is a labor-intensive sector with significanttechnological demands, where employees face various occupational hazards.The use of personal protective equipment (PPE) is not only a legal obligationbut also a key measure for safeguarding workers against job-related injuriesand health risks. Despite these challenges, this industry often remainsunder-researched and overlooked.Objective: To assess utilization of personal protective equipment and its keyfactors among workers in the WA edible oil factory in Debre Markos town,Ethiopia, in 2024.Methods: A cross-sectional study was conducted among employees of theWA Edible Oil Factory in Debre Markos. Using a simple random samplingmethod, 387 workers were selected to participate. Data were collectedthrough an interviewer-administered structured questionnaire, focusing on theuse of protective equipment, as well as socio-demographic, work-related,environmental, and organizational characteristics. The data were analyzed usingSPSS version 26. Logistic regression analysis was employed to identify factorsinfluencing the use of protective equipment, with the strength of associationsexpressed as odds ratios at a 95% confidence level.Results: Out of the total workforce, 214 individuals (55.3%) reportedusing personal protective equipment while on duty. The study identifiedseveral significant factors influencing personal protective equipment utilization,including receiving safety training, having access to protective equipment,regular occupational health and safety inspections, the presence of workplacesafety protocols, having three or more years of work experience, and abstainingfrom alcohol consumption and smoking.Conclusion: The utilization level of personal protective equipment amongworkers at the WA edible oil factory was found to be moderate when comparedto findings from other developing countries. Key factors influencing personalprotective equipment usage included access to safety training, availability ofprotective gear, workplace supervision, the presence of safety protocols, workexperience, and lifestyle behaviors such as alcohol and tobacco use. To improvepersonal protective equipment utilization, it is recommended to strengthenworkplace supervision, offer comprehensive safety training, and ensure theconsistent availability of safety guidelines.KEYWORDSutilization, personal protective equipment, edible oil factory, factory worker, Ethiopia

Smallholders cultivated sugarcane for household consumption, immediate cash, and feedinglivestock in Ethiopia. However, its production and productivity are constrained by a lack ofimproved varieties. Sugarcane germplasm was collected from Districts of West Gojjam,Ethiopia, to evaluate yield and its contributing characters and quantify the phenotypic diversityat Mankusa, Jabitehnan, Ethiopia. The experiment was conducted using a randomised completeblock design with three replications for two crop cycles, from April 2020 to March 2023. Datawere recorded for the number of tillers, internode length, sellable stalks, plant height, stalkdiameter, cane yield and biomass yield from twelve genotypes collected. The data recorded weresubjected to analysis of variance, and means were separated using the Duncan Multiple RangeTest at a 5% significance level. Variance and multivariate analysis indicated the existence ofhigh phenotypic diversity between genotypes in all quantitative traits studied. Acc 7/20 and Acc5/20 genotypes produced the highest number of tillers and longest internodes, while Acc 6/20produced the highest number of sellable stalks. The genotype Acc 4/20 was the longest, and thethickest genotype, which could be elite donors for it respected quality traits through crossing.The highest cane yield was recorded from Acc 4/20 (178.04 t/ha), Acc 7/20 (151.41 t/ha), Acc8/20 (134.1 t/ha) and Acc 12/20 (132 t/ha), producing 58, 34, 19 and 17% advantageous fromthe overall genotypes mean, respectively. Cluster analysis grouped the twelve sugarcanegenotypes into four clusters, indicating the possibility of broadening the genetic basis bycrossing genotypes in the different clusters. It also indicated that a cross between cluster II andIII genotypes could create the thickest canes with many sellable stalks. Therefore, genotypes Acc04/20, Acc 07/20, Acc 8/20 and Acc 12/20 have been recommended and must be evaluated in other sugarcane growing areas to exploit their potential.Keywords: Cluster Analysis, PCA, Sugarcane, Variability, Yield