Southeastern Ethiopia Research Articles

Population size and structure of Grant’s gazelle and lesser kudu in Geralle National Park, Southeastern Ethiopia

Background Grant’s gazelle and lesser kudu remain widespread within and outside protected areas. Current pressures on their populations, human encroachment and disturbance associated habitat modifications, and excessive grazing pose further threats to the species. The estimation of density and abundance of species has significant value for sustainable wildlife management in Geralle National Park (GNP) and also contributes towards a more accurate global population estimate. Result Using distance sampling methods, the lowest Akaike Information Criterion (AIC) (close to zero) and Chi-square tests (P value > 0.05) showed that the hazard rate key function with an un-equal interval group model was selected for estimation of density and abundance. The density of species was 1.7 ± 0.5, 2.07 ± 0.7, gazelle/km2 and 1.39 ± 0.3, 1.92 ± 0.42, lesser kudu/km2 during the dry and wet seasons, respectively. Population density, abundance, and structure showed habitat and seasonal differences in observation. More individuals of both species were recorded during the wet season as compared to the dry season. Grassland was favored by Grant’s gazelle, while lesser kudu preferred woodlands. Both species exhibited a female-biased sex ratio, indicating potential for future population growth prospects. Conclusion It can be concluded that GNP is home to viable populations of Grant’s gazelle and lesser kudu, and season has influenced population abundance and distribution due to resource availability variations among seasons. The female-biased sex ratio indicates the future population growth prospects for the two species.

Perception of smallholder farmers about climate change and its impacts on crop production across agroecological zones of the Gassera District, Southeastern Ethiopia.

Climate change and variability have threatened rainfed agriculture by affecting the livelihoods of rural communities in Ethiopia. The study area, Gassera District, is among the high-potential crop production areas of the Bale Zone and is severely impacted by recurrent droughts resulting from climate change. This study evaluated smallholder farmers' perceptions of significant climate change and its effects on food crop production across the agroecological zones of the Gassera District. A cross-sectional survey design was employed to collect data from 444 farm households via multistage random sampling techniques. Multiple linear regression (MLR) models were used for the data analysis. The results revealed that 98.5% of the interviewed farmers were aware of climate variability and that 51.6% understood its impact to a reasonable extent. However, over half of the farmers did not perceive climate change as the greatest threat to their livelihood. Most farmers experienced rain becoming more erratic, starting late, and ending early as medium climatic factors (60.4%, 68.1%, and 66.2%, respectively), affecting their crop production. The results revealed that rainfall had a negative and insignificant decreasing trend (2.92mm/year). The annual mean temperature exhibited a positive and statistically significant increasing trend (Ρ < 0.01). Crop production is positively and linearly correlated with the amount of annual rainfall at the Ρ ≤ 0.05 level of significance. The findings revealed that the greatest crop yield loss was associated with lowland agroecology. The MLR results revealed that farmer agroecology, age, sex, and chemical use had substantial impacts on crop yield loss. We urge farmers to understand the long-term effects of climate change on their livelihoods.

Serological and Molecular Investigation of Infectious Laryngotracheitis Virus in Chickens from Robe Town, Southeastern Ethiopia

Infectious laryngotracheitis virus (ILTV) is responsible for avian infectious laryngotracheitis (ILT), a highly contagious acute respiratory disease affecting chickens. However, there is limited information on ILTV and its distribution in Ethiopia, particularly in the southeastern region. The aim of this study was to establish the serological prevalence and molecular evidence in commercial and backyard chickens from Robe town, Southeastern Ethiopia. A cross-sectional study was conducted between December 2021 and June 2022, collecting 240 serum samples from randomly selected chickens belonging to eight kebeles (farms) using systematic random sampling. ILTV-specific antibodies were detected using a commercial indirect enzyme-linked immunosorbent assay (ELISA). From 240 serum samples, 26.7% were positive for ILTV antibodies. Logistic regression analysis identified the type of poultry farm (backyard) and the introduction of chickens from other farms as potential risk factors associated with ILTV exposure. Tracheal tissue and oropharyngeal and tracheal swabs were collected from suspected chickens for isolation and molecular detection. A total of six samples were successfully isolated in embryonated eggs (40%), with four of them verified with a specific PCR. These findings documented the presence of ILTV in the study area, which needs further insight to fully understand the actual spread of ILTV and quantify the damage caused to the poultry sector.

Impacts of Participatory Forest Management on Land Use/Land Cover of Adaba-Dodola Forest in South Eastern Ethiopia and its Implication to REDD+ Implementation.

Despite various interventions to protect forests, many developing countries, including Ethiopia, continue to face substantial forest conservation challenges, particularly where local communities heavily rely on forests for their livelihoods. Recognizing the urgency of this issue, the government of Ethiopia introduced Participatory Forest Management (PFM) and devolved forest management responsibilities to enhance forest conservation. Therefore, this assessment examines the impacts of PFM on forest cover based on an analysis of the Land Use/Land Cover Change (LULCC) over the last 23 years in Adaba-Dodola, and its implications for REDD+ implementation. The study involved determining the LULCC of the Adaba-Dodola forest after the introduction of PFM from 2000 to 2023. Landsat images of 2000, 2012, and 2023 were analyzed to detect LULCC. The study result showed that the Adaba-Dodola forest cover increased by 1.83% since the PFM was introduced. The decreased agricultural land by 0.87% was the main factor attributed to the increase in shrub cover, while shrubland attributed to the rise in forest cover. Net areas of about 148 ha/year of shrublands were converted into forest land owing to significant forest regeneration, while shrublands had a net gain of 110.5 ha/year from agriculture and grasslands between 2000 and 2023. The increase in forest cover is attributed to the effectiveness of PFM in halting deforestation and promoting forest conservation. Thus, the PFM approach is a tool for preserving forest ecosystems and mitigating the adverse effects of deforestation and forest degradation, therefore would be used as an umbrella for implementing REDD+.

Genotype × environment interaction and stability analysis of advanced field pea (Pisum sativum L.) genotypes in Southeastern Ethiopia

Field pea is a leguminous crops that have a significant economic contributions to sustainable Ethiopian agriculture. The experiment was conducted at four location in 2015/16 to 2016/17 main cropping seasons with the objectives of to determine the magnitude of genotype by environment interactions and its stability of thirteen field pea genotypes using randomized complete block design with four replications. The AMMI analysis revealed that significant (p<0.01) differences between genotypes, environments and genotype by environment interactions for grain yield. This indicates the genotypes responded differently across environments. The highest mean grain yield was recorded from genotype G12 which records (2992 kg ha−1) followed by genotype G4 2974 kg ha−1 across environments. The AMMI analysis showed that genotypes, environments and there interaction accounted about 72.9 %, 1.2 % and 5.7 % of the total sum of squares respectively. The GGE biplot first two principal components explained about 57.42 % of the total sum square of GEI. The GGE biplot revealed that G4 and G12 were the most stable and high yielding genotypes, while G10 and G9 were the lowest yielder and stable genotypes. The results indicated that genotypes responded differently to environmental conditions and the environments influenced genotype performances.

Spatiotemporal dynamics of vegetation net primary productivity and its response to climate variability

Despite its significance, net primary productivity is rarely used as an indicator of climate change. The purpose of this study was to assess the spatiotemporal dynamics of vegetation net primary productivity and its response to climate variability in the Welmel watershed, southeastern Ethiopia. The investigation utilized data from the Moderate Resolution Imaging Spectroradiometer, and the Climate Hazards Group Infrared Precipitation with Stations accessed through the Google Earth Engine cloud computing platform. To evaluate the trend and response of net primary productivity to climatic factors, the Mann-Kendall and Theil Sen’s tests, the Pearson correlation coefficient, and stability analysis through the coefficient of variation of net primary productivity were utilized. The analysis of the temporal trend of net primary productivity revealed that the entire watershed, forest, wood, and cultivated land areas exhibited decreasing trends with net primary productivity values of -0.681, -4.361, -1.41, and − 3.25 g C m− 2/year, respectively. On the other hand, shrubs and grazing land displayed increasing trends of 1.15 and 2.04 g C m− 2/year, respectively. The wood and shrubland trends were statistically significant (p < 0.05). In the spatial analysis, an area of 64.6% showed a decreasing trend, whereas 33.78% displayed an increasing trend in net primary productivity values. The areas with stable and unstable variations in net primary productivity accounted for 26.47% and 8.02%, respectively. The net primary productivity of the land cover types and entire watershed were positively correlated with rainfall, however, only forests and woodlands were statistically significantly correlated (p < 0.05). The net primary productivity and land surface temperature were negatively correlated, except for forests and cultivated land, which were positively correlated. The results of this study provide essential information for managing ecosystems, supporting agricultural practices, and enhancing community resilience in a changing climate.

New species and record of oribatid mites (Acari, Oribatida) from highlands bamboo location in Ethiopia

The present study is based on oribatid mite material collected from litter in highlands bamboo location in Bale Mountains National Park, Southeastern Ethiopia. A list of 35 species belonging to 27 genera and 19 families is presented; of these, Nothrus berlesei and Dolicheremaeus capillatus neonominatus are recorded in Ethiopia for the first time. Two new species—Coronabelba pustulata Ermilov sp. nov. and Suctobelbila quattuor Ermilov sp. nov.—are described. Coronabelba pustulata differs from the other congeneric species by the presence of densely tuberculate dorsal part of the notogaster, bordered by two longitudinal ridges. Suctobelbila quattuor differs from the other congeneric species by the presence of four longitudinal cerotegumental bands represented by sparse granules connected by cerotegumental cords on the notogaster.

Economic Analysis of Potato Production in Bale Highlands, South-eastern Ethiopia

The study was initiated to identify the costs and benefits of economic profitability of potato production and factors affecting potato production at the small-scale farmer&amp;apos;s level. This study was conducted in three districts. Purposive and random sampling techniques were applied to select 113 respondents. Primary data was collected directly from the respondent, through interview schedules, key informant interviews, and focus group discussions. Both descriptive statistics and the econometric model, the Cobb-Douglas production function model were used to analyze collected data. The average age of the sample respondent was 42.75 years, while the average household size was found to be 7 family members. The cost-benefit analysis results imply that potato production is profitable in the study area and farmers produce potatoes to improve their livelihood. The model result shows that amount of seed, fertilizer, and fungicide affect potato output significantly at 1%, 1%, and 5% respectively, while human labor was insignificant. The model result depicts that, 56% of the variations in output of potato production could be explained by the explanatory variables included in the model. The biggest problem or constraint faced by potato producer farmers in the area was the lack of improved variety. Therefore, Agricultural Research Centers should have to release improved variety that is relevant to the needs and desires of smallholder farmers.

Long Term Historical Precipitation and Temperature Trend Analysis for Selected Stations in Bale and East Bale Zones of Southeastern Ethiopia

Trend analysis for the long-term average temperature and precipitation of Bale and East Bale Zones during 1901 to 2016 has been performed for selected 5 stations to understand the pattern of these important meteorological features under climate change. The precipitation characterizations viz. standardized Precipitation Index has been considered for Sinana, Goro, Ginnir, Dallo menna and Agarfa stations. This study was aimed to analysis ‘’long term historical climate analysis selected stations in Bale and East Bale zones’’. The study considered station nearby kebeles was selected purposively from highland, midland and lowland districts. Standardized Precipitation Index drought index method was used to classify drought condition of the area. The findings showed that, the average temperature of the district showed an increased in the past three decades whereas the annual precipitation of the districts showed a decreasing trend with some variation from the mean in the period 1901- 2016 which was validated with 1984 – 2016 observed data. In line with this, representative respondents were considered from lowland, highland and midland agro-ecologies. Long term annual mean temperature showed increase trends by 0.17°C per decade at Sinana, Goro, Ginnir and Agarfa stations. Additionally, it was revealed more increment by 0.19°C per decade at Dallo menna station. From long term climate data analysis, it was indicated that extremely wet recorded in 1903, 1914, 1917, 1926, 1977 and 2013, while extremely dry conditions were recorded in 1919, 1938 and 1943 annual precipitation recorded for the whole period has been calculated and interpreted.

Perennial species diversity, ecosystem carbon stocks and carbon income in coffee-based agroforestry systems along an elevation gradient in South-eastern Ethiopia

In the current context of deforestation, coffee-based agroforestry system (CAFS) is credited for climate change (CC) mitigation and biodiversity conservation while supporting local livelihoods. Despite integrating shade tree species in CAFS, empirical studies to support this assertion are inadequate in Eastern Africa, and hence, its ecosystem services provisions are less understood. We evaluated perennial species diversity, carbon (C) stocks in the biomass and soil organic C (SOC) along an elevation gradient of 72 plots of shade coffee, while 36 plots were selected for without-shade coffee systems within three elevations, namely, low (1600–1750 masl), mid (1750–1850 masl) and high (1850–2000 masl) elevations in Southeastern Ethiopia. The perennial species diversity and biomass, SOC, fine root and litter C stocks were evaluated. Perennial species Shannon diversity significantly differed among the studied elevations (p < 0.001). Shaded coffee had significantly higher ecosystem C stocks than without shaded coffee systems (p < 0.05). The highest C stocks were found in the soil in both coffee systems. However, we found a weak relationship between the Shannon diversity and biomass C. The C income in shaded coffee was 70 % higher than without shaded coffee systems. The present study showed that shaded coffee accumulates more C and provides additional benefits from C credits. Hence, CAFS deliver ecosystem services that enhance biodiversity conservation and CC mitigation while generating an additional C income for farmers. However, we learned that the impact of perennial plant diversity on C stock and C income is context and site-specific.

Response of Malt Barley to NPSZnB and Urea Fertilizers Across Soil Types and Agro-ecologies, Arsi Zone of Oromia, South-Eastern Ethiopia

Field trials were conducted on farmers’ fields during the 2017, 2018, and 2019 cropping seasons to determine the optimum NPSZnB and urea fertilizer rates for selected crop, soil, and climatic conditions, as well as to assess the economic feasibility of blended and urea fertilizer rates for malt barley by varying levels of NPSZnB fertilizer (0, 100, 150, 200, 250 kg ha-1) and recommended NP in combined RCBD with three replications on growth performance and yield. The post-harvest soil analysis results of experimental sites revealed that the use of treatments significantly (p&lt; 0.05 and p&lt; 0.001) altered pH, total N, available P, and organic matter for samples taken from malt barley crop experimental sites. Application of different fertilizer levels significantly affected post-harvest pH and organic carbon contents. A significant improvement was observed in soil chemical contents compared to the contents of the soil before treatment application at Lemu-Bilbilo district. Combined levels of NPSZnB and urea fertilizer rates significantly affected grain and above-ground biomass yields at Lemu-Bilbilo and Kofele districts. The maximum grain and biomass yield (6197 and 11018 kg ha-1) in 2019 and minimum (3646 and 6875 kg ha-1) in the 2018 cropping season were obtained, respectively at Lemu-Bilbilo district up on the application of NPSZnB and urea fertilizers. Similarly, significant grain and biomass yield (5554 and 10412 kg ha-1) were obtained from the application of 250 + 200 and 250 + 150 kg ha-1 NPSZnB with urea fertilizer, respectively. The maximum grain and biomass yield (5244 and 10092 kg ha-1) in 2019 and minimum (3477 and 7736 kg ha-1) in 2017 and 2018 cropping season were obtained, respectively at Kofele district from the application of NPSZnB and urea fertilizers. Similarly, a significant grain and biomass yield (5125 and 9826 kg ha-1) were obtained from the application of 250 + 150 and 250 + 200 kg ha-1 NPSZnB + urea, respectively.

Evaluation of Alternative Break Crops in Rotation with Bread Wheat (triticum aestivum l.) in South-Eastern Ethiopia

Crop rotation could be a possible intervention to resolve multifaceted problems of monoculture. In recent years, there is a concern about soil depletion caused by intensive farming. In crop rotation legume crops, which capture atmospheric nitrogen and “fix” it into forms available to plants will increase soil fertility. Faba bean (Vicia faba L.), rapeseed (Brassica napus L.), oat (Avena sativum L.) and vicia (Vicia dasycarpa Ten.) forage mixture were considered as a break/precursor crops. The result showed that most profitable cropping sequence was faba bean grown in a 3 year cycle with 2 crops of wheat (Amanuel et al., 1994). Thus, searching for promising and alternative break crops for wheat based rotation could increase productivity and maximize profit. Adaptaion trial around Bekoji showed that sweet lupine seems an option in tolerating acidity where faba bean is found susceptible. Thus, the objectives of this study was to evaluate alternative break crops on yield and yield components of the succeeding wheat and soil fertility maintenance in the rotation scheme. Thus, this study was executed for three consecutive years from 2017- 2019 main cropping seasons at Kulumsa, Bekoji and Asasa Arsi zone, South-Eastern Ethiopia to evaluate advantage of alternative break crops on yield and yield components of the succeeding wheat and its effect on soil fertility maintenance in the rotation scheme. The experiment was laid out in randomized block design with five replications. The treatment include: wheat-sweet lupine-wheat-wheatwheat in year one (2017), sweet lupine-wheat-wheat faba bean-Ethiopian mustard in year two (2018) and wheat-wheat-wheat-wheat-wheat in the third year (2019). These leguminous crops have improved physico-chemical properties of soil. Plant nutrients of soil on which legumes were grown were increased. This improvement of soil properties by leguminous crops has resulted in higher yield of wheat than plots on which wheat was grown after wheat. Although non-significant, the third year Bekoji and Asasa combined analysis of variance revealed that the highest wheat grain yield (4197kg/ha) was obtained at sweet lupine-wheat-wheat followed by wheat-faba bean-wheat (4003kg/ha). However, plant height was significantly (P&lt;0.05) affected by rotational crops effect. The tallest plant height of wheat (105.0cm) was recoded from wheat-Ethioian mustard-wheat treatment. From this study, sweet lupine-wheat-wheat followed by wheat-faba bean-wheat with proper agronomic packages could be forwarded as a temporary recommendation in Asasa, Bokoji and Kulumsa areas and in areas with similar agro ecologies.

Do farm size, age, and wealth status influence plant species diversity in homegarden agroforestry systems in southeastern Ethiopia?

Do farm size, age, and wealth status influence plant species diversity in homegarden agroforestry systems in southeastern Ethiopia?

Multivariate analysis of morphometric traits of the horse ecotypes reared in highlands of Bale Zone, Ethiopia

This study was conducted to evaluate morphometric traits of horse ecotypes reared in four districts of the Bale highlands, southeastern Ethiopia. Twenty-seven morphometric traits were measured from 500 horses (294 males and 206 females) of both sexes. Data were analyzed using SAS 2012. This study revealed that certain traits, such as head length, loin length, bi-ischial width, and sternum height of horses were similar. However, significant differences (p < 0.0001, p < 0.01, p < 0.05) were observed in other traits across the districts. All traits were affected by age (p < 0.05) except rump width and canon perimeter. All 27 morphometric traits were subjected to STEPDISC analysis, of which 21 had the best discriminating power. The uppermost distances of 32.2 and, 28.8 were reported between the Agarfa and Dinsho and, Agarfa and Sinana horse populations, respectively. Mean separation distance among districts ranges from -1.75 to 3.57, -2.42 to 2.43, and -1.61 to 0.92 for CAN1, CAN2 and CAN3, respectively. The quadratic discriminate function classified 95.2, 94.4, 96.0, and 96.8 % of the sampled horses into source populations of the Dinsho, Agarfa, Sinana, and Goba districts, respectively. In addition, the cross-validation summary revealed reduced consistency of membership among each districts with 5 % average success rates and 4, 8, 4, and 4 % for the Dinsho, Agarfa, Sinana, and Goba districts, respectively. Therefore, the presence of variation in morphometric traits within the Bale Highland horse ecotypes has the potential for selection and further genetic interventions.

Predominance of Dengue Virus Serotype-1/Genotype-I in Eastern and Southeastern Ethiopia.

We determined the dengue virus (DENV) serotypes and genotypes in archived serum samples that were collected during the 2014-2016 and 2021 dengue outbreaks in Dire Dawa City and the Somali region in Ethiopia. DENV serotype 1 (DENV-1) was predominant followed by DENV serotype 2 (DENV-2). Thirteen of the DENV-1 strains were assigned to Genotype-I, while the remaining two were found to be Genotype-III. All three DENV-2 strains were assigned the Cosmopolitan Genotype. The DENV strains responsible for the outbreaks are genetically closely related to the DENV strains that circulated in neighboring and Asian countries. The findings also showed continued local transmission of a monophyletic lineage and a co-circulation of DENV-1 and DENV-2 during the outbreaks. There is a need to strengthen DENV genomic surveillance capacity for the early detection of circulating serotypes, and prevent devastating consequences of future outbreaks due to the co-circulation of different serotypes.

Projected future changes in food insecurity hotspots over the IGAD region of Eastern Africa

Food insecurity is a major issue in many parts of the world, driven by conflict, economic instability, environmental challenges, and poor governance processes. Understanding the impact of future rainfall extremes on areas already experiencing food insecurity is crucial. This study investigates how food insecurity hotspots (FIH), food crisis frequency, and duration will change in the near future (2021–2050) and far future (2071–2100) under Shared Socioeconomic Pathways scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5). The study utilizes precipitation data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and FIH data from the NASA Socioeconomic Data and Applications Center (SEDAC). To calculate future exposure and vulnerability to FIH, as well as food crisis frequency and duration, weighted sum models were used. The results indicate that arid and semi-arid areas in northeastern Kenya, most of Somalia, zones in southeastern Ethiopia, most of Djibouti, and central and northern Sudan are highly vulnerable to future extreme rainfall events, an increase in FIH cases, and longer food crisis frequency and duration in the near future (2021–2050) and far future (2071–2100) under all scenarios. On the other hand, most districts in Uganda, southern and southwestern South Sudan, counties in western Kenya, and the majority of zones in western Ethiopia are projected to have very few FIH cases, low food crisis frequency, and duration in both the near and far future under all scenarios. These findings are crucial for early warning systems, humanitarian responses, and food security interventions. We recommend harnessing projected increases in rainfall for water harvesting in Kenya, as well as promoting cash and food crop production in central and western Ethiopia, central and northern Uganda, and most of South Sudan.

Response of field pea (Pisum sativum L.) genotypes for grain yield in a multi-environment trial in Southeastern Ethiopia

Field pea (Pisum sativum L.) is a key cool-season food legume grown in Ethiopia, particularly in the Southeastern Arsi Zone. Although there is potential for field pea production in the area, adopting new and improved varieties is challenging because local farmers frequently prioritize cereal crops over field peas. To tackle this issue, a study was conducted to identify and promote high-yielding, improved field pea varieties suitable for the Southeastern farming community and similar agro-ecologies. The study focused on assessing the relationship between genotype and environment as well as the stability pattern of 14 advanced field pea genotypes. The genotypes were evaluated in eight environments in two consecutive cropping seasons (2014–2015) in southeast Ethiopia. The study utilized a randomized complete block design consisting of four replications. Various parametric stability analyses were used, including joint regression, additive main effect and multiplicative interaction (AMMI), and additive main effect and multiplicative interaction stability value (ASV). The grain yield was significantly influenced by genotype, location, and their interactions. The average grain yield ranged from 2809.5 kg ha−1 to 3509.1 kg ha−1. Eberhart's stability analysis identified stable genotypes: G3, G4, and G8, while G14 was unstable. According to additive main effect and multiplicative interaction stability value (ASV) and yield stability index (YSI), genotypes G12 and G13 had very low ASV values, whereas genotype G4 had very low ASV and YSI values. The AMMI and GGE biplot graphs showed that the principal component axes (PC1) and (PC2) accounted for 64.1 % and 61.36 % of the total variation, respectively. The results indicated that genotypes responded differently to environmental conditions and that the environment also influenced genotype performance. Genotypes G4 and G3 consistently performed well and exhibited remarkable stability, making them excellent cultivars for improving field pea productivity.

Exploring microbial diversity and functional gene dynamics associated with the microbiome of Sof Umer cave, Ethiopia

Sof Umer Cave is the largest cave in East Africa and located in southeastern Ethiopia, is an unexplored extreme environment harboring novel microbes and potential genetic resources. However, the microbial ecology and their potential genetic resource, remain undiscovered. The purpose of this study was to employ high-throughput shotgun sequencing to explore the microbial diversity and functional gene dynamics within the microbiomes of Sof Umer Cave. High-molecular-weight DNA was extracted from homogenized sample using the GeneAll DNA Soil Mini Kit and 1% CTAB-SDS method. Purified environmental DNA was sequenced using a NovaSeq PE150. Microbial gene analysis revealed that Sof Umer Cave is primarily inhabited by Protobacteria, Actinobacteria, Bacteroidota, Verrucomicrobiota, Acidobacteiota, and Cyanobacteria, according to the Micro-RN database. The functional genes identified through the KEGG, eggNOG, and CAZy databases included 44,780 genes involved in metabolism and the biosynthesis of bioactive compounds. However, 34,716 genes related to metabolic processes remained unidentified, suggesting the presence of potentially novel genes for the discovery of natural bioactive compounds. Additionally, functional gene modeling using the FBA-built metabolic model, Model seed and MS2-prokaryotic metabolic model revealed 1,742 reactions, 1,542 compounds, and the addition of 302 new reactions during gap filling. Finally, the results revealed that the Sof Umer Cave is a reservoir for novel microbes and diverse functional genes, offering potential for the discovery of natural bioactive compounds.

New faunistic and taxonomic data on oribatid mites (Acari, Oribatida) from Ethiopia: results of the Joint Russian-Ethiopian Biological Expedition in Bale Mountains National Park (2023)

The present study is based on oribatid mite materials collected from Bale Mountains National Park, Southeastern Ethiopia in 2023. A list of 71 species belonging to 44 genera and 29 families is presented; of these, nine species, three genera and two families are reported in Ethiopia for the first time. Two new species—Brachioppiella (Brachioppiella) sanettiensis Ermilov n. sp. and Drymobatoides harennaensis Ermilov n. sp.—are described.

Evaluation of Balanced Fertilizer Types and Validation of Soil Fertility Map-Based Fertilizer Recommendation for Bread Wheat Production in Bale Highland Southeastern Ethiopia

The optimal and appropriate fertilizer recommendation packages for all crops considering the improvement in productivity of small-scale farmers in the country. To evaluate the impact of blended fertilizer on wheat output, a field experiment using a five-treatment, three-replicate RCBD design was carried out during the 2020–2023 cropping season at Bale Highland southeastern Ethiopia to evaluate balanced fertilizer types and validation of soil fertility map-based fertilizer recommendation for Bread Wheat production The treatment 1Control (without fertilizer)2 (100 kg/ha-1 Urea )3 (100 kg /ha-1 NPS plus 100 kg of urea)4(100 kg /ha-1 NPSB plus 100 kg of urea) 5(100 kg /ha-1 NPSZnB plus 100 kg of urea). The plot size was 3m by 3 m (9 m2) and the spacing between plots and blocks was 1m and 1m, respectively in comparison to the control, The application of 100 kg ha-1 NPSZnB + 100 kg ha-1 urea in Bale Highland produced the highest and most significant yields of grains (5257.51 kg ha-1) the least amount of grain (3006.51 kg ha-1) in Bale Highland at the same time. To improve the production of wheat in the study area, farmers in Bale Highland must apply NPSZnB, with a similar agroecology.