ABSTRACT The present study was conducted to identify best hot pepper varieties & planting method for yield and resistance to F. oxysporium in West Gojjam, Ethiopia under field and greenhouse condition. The green house experiment was conducted at Burie Campus by using plastic house prepared with 3.5 m height and an area of 4m by 3 m. The experiment was conducted by transplanting of 6 hot pepper varieties with 2 months seedlings. Inoculation was performed following the standard cut-root dip inoculation technique. Hot-pepper varieties were grouped in to: immune, resistant, moderately resistant, susceptible and highly susceptible. Oda Gibe was the best variety that showed 9.7 % wilt incidence followed by Oda Haro that showed moderately resistant with a reaction of 26.3 % wilt incidence. On the other hand, the field experiment was conducted at Mankus kebele, Jabi Tehinan Districts with a total of 12 treatment combination (6 hot pepper varieties: Bako local, Marko Fana, Melka Awaze, Melka Zala, Oda Gibe and Oda Haro with 2 planting methods: Ridge and flat plant bed).The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. Two months old Seedlings were transplanted on plots having an area of 4 m x 3 m (12 m2). Observations of naturally occurring fusarium wilt development was inspected at 7 days interval three times. Growth parameters of hot pepper were affected by the main effects of variety and planting method but insignificantly by their interactions. Besides the varietal effect, the longer plants and more number of primary and secondary branches were recorded from raised bed that has showed less disease incidence than flat planting. On the other hand, all yield related parameters were significantly different by the interaction effect of variety with planting method. The highest mean marketable as well as mean dry total pod weight was obtained from ridge planting of Oda Gibe variety which has showed least susceptibility to fusarium wilt. Oda Gibe and Oda Haro variety integrated with Raised bed significantly reduced Fusarium wilt incidence as compared to the area production system of Marko Fana with flat planting method. However, the experiment was conducted at a single location, so that it would be better if it is repeated over season and location to provide comprehensive recommendations. Key words; - Planting method, Fusarium wilt, hot pepper, Incidence

Bread wheat (Triticum aestivum L.) is vital for over a third of the global population but facessignificant production challenges due to limited adaptable varieties, poor management practices,and environmental factors. New wheat varieties often fail in unfamiliar environments, leading tocrop loss. To address this issue, a study was conducted to evaluate the adaptability, performance,and yield stability of recently released high-performing wheat varieties over two years (2020/2021 and 2021/2022) in four districts of the East Gujjar Zone: Machakel, Debre Elias, Gozamin,and Baso-Liben. The trials were set up using a randomized complete block design (RCBD) withthree replications, and data were collected on the main traits such as days to heading, maturity,plant height, tiller number, spike length, spikelet’s per spike, biomass, and grain yield. AMMI andGEE biplot analysis were used to study genotype by environmental interaction. The combinedanalysis of variance for grain yield showed highly significant effects (P < 0.001) due to genotype(4.98 %), environment (66.83 %), and genotype × environment interaction (31.96 %). Grainyield varied across the environments, ranging from 3.72 t ha 1in Baso-Liben to 3.11 t ha 1 inMachakel. Among the genotypes, Ogolcho had the highest mean yield (4.55 t ha 1), whereasWane had the lowest (2.70 t ha 1). Genotype-by-environment interaction biplot analysis groupedthe eight test environments and six genotypes into two mega-environments and three genotypegroups. Wane, Lemu, and Ogolcho were the stable genotypes. This analysis identified the mostfavorable districts for wheat production and highlighted Ogolcho as the most productive wheatvariety in the study area. The results suggest that farmers in these districts should adopt Ogolchoto enhance wheat yield and increase their income.
Keywords: AMMI, GGE, GIE, PCA, Stability, Wheat

Chickpea is a self-pollinated, diploid, and annual plant (2x = 2n = 16). After peas and beans, it is the most important legumein the world. Reduced chickpea production and productivity have been significantly influenced by the lack of improvedand adaptable genotypes, poor management practices, biotic factors such as disease and pests, and abiotic factors includingfluctuating rainfall and temperature. New chickpea genotypes introduced in Northern Ethiopia lack adaptability, stability,and performance evaluation, resulting in crop losses for farmers due to their susceptibility to the new and variable environment. To address these challenges, recently released high-yielding genotypes, alongside a standard check, were evaluatedfor adaptability, performance, and yield stability over 2 years (2022/2023 and 2023/2024) in three districts (Shebel, Awabel,and, Jabitenan) of Northern Ethiopia across six multienvironment field trials each employing a randomized complete blockdesign with three replications. SAS 9.4 and R software were used, showing significant differences in crop phenological stages,growth, and yield parameters across years and locations for test traits. Genotype, location, and year interactions significantlyinfluenced all Kabuli chickpea genotypes. The highest combined mean grain yield was obtained from genotype “Arerti”(2.42 t ha-1) followed by “Yelbie” (2.18 t ha-1), which explained their best performance among the tested genotypes. Analysis ofvariance revealed significant interactions and differences between genotypes and environments, with 15.6% of the variationin grain yield attributed to environmental factors, 6.4% to genotype differences, and 11.4% to genotype-by-environment interactions. The Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysisidentified stable genotypes, representative environments, and interesting genotype–environment interactions. GenotypesArerti, Chefe, and Yelbie were identified as stable based on Genotype and Genotype × Environment biplot and Additive MainEffect and Multiplicative Interaction analysis. Environments Shebel and Jabitenan were identified as representative amongall environments considered.

Precision agriculture technologies (PATs) transform crop production by enabling more sustainable and efcient agriculturalpractices. Tese technologies utilize data-driven approaches to optimize the management of crops, soil, and resources, thusenhancing both productivity and environmental sustainability. Tis article reviewed the application of PATs for sustainable cropproduction and environmental sustainability around the globe. Key components of PAT include remote sensing, GPS-guidedequipment, variable rate technology (VRT), and Internet of Tings (IoT) devices. Remote sensing and drones deliver high-resolution imagery and data, enabling precise monitoring of crop health, soil conditions, and pest activity. GPS-guided machineryensures accurate planting, fertilizing, and harvesting, which reduces waste and enhances efciency. VRToptimizes resource use byallowing farmers to apply inputs such as water, fertilizers, and pesticides at varying rates across a feld based on real-time data andspecifc crop requirements. Tis reduces over-application and minimizes environmental impact, such as nutrient runof andgreenhouse gas emissions. IoT devices and sensors provide continuous monitoring of environmental conditions and crop status,enabling timely and informed decision-making. Te application of PAT contributes signifcantly to environmental sustainabilityby promoting practices that conserve water, reduce chemical usage, and enhance soil health. By enhancing the precision ofagricultural operations, these technologies reduce the environmental impact of farming, while simultaneously boosting cropyields and proftability. As the global demand for food increases, precision agriculture ofers a promising pathway to achievingsustainable crop production and ensuring long-term environmental health.Keywords: environmental sustainability; precision agriculture technologies; precision farming; sustainable crop production

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

In the absence of a recommended optimal seed rate and nitrogen-phosphorous (NP) fertilizers application for a spe-cific area, achieving maximum bread wheat productivity becomes challenging. To address this issue, this field experi-ment was conducted to evaluate the effect of seed and NP fertilizer rates on growth, yield, and yield components ofbread wheat (Triticum aestivum L.). Factorial combinations of four levels of seed rates of bread wheat (100, 120, 150, and200 kg ha−1 ) and four levels of NP fertilizers rates (64–46, 87–46, 96–69, and 119–69 kg ha−1 of N and P 2 O 5 ) werelaid down in randomized complete block design with three replications. The remaining necessary agronomic practicesand crop management activities were undertaken uniformly. The data presented in this dataset article includes pheno-logical, growth, yield, and yield component parameters that were collected timely following their standard methods andprocedures. All the collected data were subjected to analysis of variance (ANOVA) which was carried out using theSAS version 9.0 software computer program’s General Linear Model (GLM) procedure [1]. the residuals were evalu-ated, as described in Montgomery [2], to confirm the normal distribution and homogeneous variance model assump-tions on the error terms for each response variable. The independence assumption is upheld due to the randomization ofthe sixteen (16) treatment combinations within each block. In cases where a treatment effect was found to be significant,a multiple means comparison was conducted at a 5% significance level using Fisher’s LSD method to create letter group-ings. Additionally, correlation analysis was carried out using the Pearson correlation procedure in SAS. This dataset articleprovides insights into how seed rate and NP fertilizer rates impact bread wheat productivity, as well as the economic viability of optimal seed rate and NP fertilizer rates on bread wheat productivity. The information presented can serve as a valuable resource for researchers looking to examine thesupplementary data and methods in detail, potentially lead ing to new research avenues. Furthermore, it has the potential to foster collaborations and enhance the credibility of the current research data within the scientific community, making it accessible for wider use.
Keywords: Bread wheat, Burie district, Dataset, Grain yield, Seed rate, NP fertilizers, Partial budget analysis