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Report
Effect of Different Grow out Test on the Seedling Anatomy and Germination Attributes of Faba Bean (vicia faba L.)
Megersa Bayisa Debelo*
Issue:
Volume 10, Issue 3, September 2024
Pages:
42-48
Received:
29 May 2024
Accepted:
24 June 2024
Published:
27 August 2024
Abstract: Ability to geminate is very important attributes of seed quality. Critical factors for germination include moisture, oxygen, temperature and light. In combination with the factor’s germination media and place to layout are very important. Germination test was conducted on Ashebeka variety of Faba bean. The aim of the study was to test the effect of different germination Condition on seedling anatomy and germination potential of the seed. Germination room (GR) with air conditioning, Germination chamber with Adjustable (Relative humidity, Temperature and light) and Normal room were used. 50seeds/germination box with four replication were panted using CRD design in each room. Germinated seed and its shoot length counting was started to recorded starting from after five days within 3 day interval (5th, 8th, 11th and 14th) of planting to observe effect of growing room on germination and it attributes. Finally, data collected was analyzed using Statistical software. The mean squares of each treatment reveal that there is a significant variation on germination and seedling attributes for all counting days due to growing room. Among treatment Germination room with air condition shows best performance both quantative and qualitative data. While germinating seed in growing chamber leads to increment of seedling/germinated seed due to mutation or another factor. Germinating seed under normal room also affect the situation due to temperature fluctuation.
Abstract: Ability to geminate is very important attributes of seed quality. Critical factors for germination include moisture, oxygen, temperature and light. In combination with the factor’s germination media and place to layout are very important. Germination test was conducted on Ashebeka variety of Faba bean. The aim of the study was to test the effect of...
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Research Article
Modelling Height-Diameter Relationship of Pinus Roxburghii in Nepal
Jharana Upadhyay,
Shiva Khadka*
Issue:
Volume 10, Issue 3, September 2024
Pages:
49-59
Received:
30 July 2024
Accepted:
28 August 2024
Published:
20 September 2024
Abstract: Height and diameter are two factors that are considered when developing (volume and yield) tables, as well as for determining site quality and site index. Diameter is easily measured using precise and affordable instruments. However, height measurement is complex in terms of time, skill, and resource. So, developing allometric equation of height-diameter is useful to predict height from diameter to calculate tree volume, biomass, and carbon storage and survival analysis. The study was carried out in Nepal. The study area comprised of a total of 664 unique plots of Pinus roxburghii. Data was obtained from Forest Resource Assessment, 2018 undertaken by Forest Research and Training Centre (then Department of Forest Research and survey). Diameter was measured with a diameter tape at 1.3 m height above the ground level and total height was measured with a Vertex IV and Transponder. A two-phase cluster sampling was applied during data collection. Statistical software R and MS-Excel were used for data analysis. Correlation analysis showed significant positive correlation (r = 0.86) between DBH (diameter at breast height) and Height. The relationship between height as dependent variable to diameter was established through regression analysis, different suggested models were tested accordingly. Different forms of candidate models including linear, polynomial, logarithmic, and inverse were fitted to select the best height prediction model. The Akaike Information Criterion (AIC), Root Mean Square Error (RMSE), and Adjusted Coefficient of Determination (R2 adj.) were used to evaluate the model. Polynomial degree 2 form of equation (height=1.1052804+0.6252304*dbh−0.0021242*dbh2) resulted as the best model with values of adj. R2 RMSE, and AIC; 0.720, 3.639 and 2735.253 respectively.
Abstract: Height and diameter are two factors that are considered when developing (volume and yield) tables, as well as for determining site quality and site index. Diameter is easily measured using precise and affordable instruments. However, height measurement is complex in terms of time, skill, and resource. So, developing allometric equation of height-di...
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Research Article
Integration of Vermicompost and NPS Fertilizer Rates for Sesame (Sesamum indicum L.) Production at Gobu-Sayo District, Western Oromia, Ethiopia
Mamo Mekonnen Feyanbule*,
Shiferaw Tadesse
Issue:
Volume 10, Issue 3, September 2024
Pages:
60-66
Received:
15 August 2024
Accepted:
7 September 2024
Published:
23 September 2024
Abstract: Effect of vermicompost rate and NPS Fertilizer integrated on sesame yield and yield components at Gobu Sayo district was assessed for two years. Different rates of vermicompost and NPS fertilizer were integrated, no treated or control, recommended vermicompost alone, (4.64 tons ha-1), and recommended NPS alone fertilizer were also included as checks, 25:25, 25:50, 25:75, 50:25, 50:50, 50:75, 75:25, 75:50, 75:75 (%), vermicompost and NPS fertilizer respectively combined. Growth parameters such as plant height (116.67cm) and branch number (5.230) significantly (P<0.05) affected by the use of integrated vermicompost and NPS fertilizer. Yield parameters biomass yield, (4.61 tons ha-1), grain yield (0.45 tons ha-1), and composite soil data before planting and postharvest soil data were taken and analyzed. Treatment (50% recommended vermicompost and 50% NPS fertilizer) gave 701kg ha-1 with (17,814.1 Ethiopia birr ha-1), the highest net benefit with an acceptable marginal rate of return (45.52). Soil parameters, soil pH (1:1.2.5), soil organic carbon (SOC), soil organic matter (SOM), and total nitrogen in the soil (TN) were significantly different. Therefore, the results of the study showed that the integration of vermicompost and NPS fertilizers in sesame crop production is recommended and can improve the selected soil chemical properties of the study area and similar ecology.
Abstract: Effect of vermicompost rate and NPS Fertilizer integrated on sesame yield and yield components at Gobu Sayo district was assessed for two years. Different rates of vermicompost and NPS fertilizer were integrated, no treated or control, recommended vermicompost alone, (4.64 tons ha-1), and recommended NPS alone fertilizer were also included as check...
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Review Article
Low Cost Adsorbent Derived from Agricultural Byproduct and Its Application for the Removal of Cationic Dye from Waste Water: A Review
Natinael Mekonen,
Semere Gebrearegawi,
Yonas Syraji*,
Kasahun Tsegaye
Issue:
Volume 10, Issue 3, September 2024
Pages:
67-75
Received:
5 August 2024
Accepted:
3 September 2024
Published:
23 September 2024
Abstract: Water is the most important natural resource in the planet and is essential to life. But human activity such as industrial waste, and natural sources may all pollute this priceless resource. Among those, the effluent discharged from industries is the major pollutant in the water body. The development of industries is the backbone of the economic growth of countries, results in increased employment, and improves the living standards of human beings. But it is also the main source of environmental pollution. The primary cause of the cationic dye contamination in the water body is the organic effluent released by the textile industry. One of the cationic organic dyes generated by the textile industry is methylene blue (MB). This poisonous material hinders photosynthesis, keeps light from penetrating the water, and causes irreversible harm to people, animals, and plants. Therefore, different treatment methods were employed, including sedimentation, coagulation, oxidation, osmosis, electrolysis, and adsorption. Among them, adsorption is a highly effective technique for removing MB from waste water because of its affordability, environmental friendliness, accessibility, and high efficiency. Therefore, this review concentrated on different types of adsorbents made from agricultural products. Based on a study of many research, it appears that using agricultural wastes as an adsorbent can effectively remove MB from industrial waste water.
Abstract: Water is the most important natural resource in the planet and is essential to life. But human activity such as industrial waste, and natural sources may all pollute this priceless resource. Among those, the effluent discharged from industries is the major pollutant in the water body. The development of industries is the backbone of the economic gr...
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Research Article
Multi Environment Trials and Adaption of Advanced Bread Wheat (Triticum aestivum L.) Genotypes in Low Moisture Stress Areas of Ethiopia
Rut Duga*,
Gadisa Alemu,
Negash Geleta,
Alemu Dabi,
Berhanu Sime,
Habtemariam Zegaye,
Tafesse Solomon,
Demeke Zewdu,
Abebe Delesa,
Bayisa Asefa,
Abebe Getamesey,
Tamirat Negash,
Bekele Abeyo,
Ayele Badebo,
Yewubdar Sheweye
Issue:
Volume 10, Issue 3, September 2024
Pages:
76-86
Received:
2 July 2024
Accepted:
30 July 2024
Published:
26 September 2024
Abstract: To predict bread wheat genetic potential across environments and adaption in low moisture stress wheat growing areas of Ethiopia. Multi-location trials were conducted in Ethiopia from 2020 to 2021 in main seasons. A total of advanced genotypes including the checks were arranged in randomized complete block design in a rectangular (row x column) array of plots with two replications. The results showed that, under the linear mixed model, the spatial and factor analytic models were efficient methods of data analysis for this study. By ranking average best linear unbiased prediction (BLUPs) within clusters, the 13 bread wheat environments were clustered into three mega environments (C1, C2, and C3) for the trait grain yield. This method used as a selection indicator, assisting in the selection of superior and adaptable types. The predicted performance of genotypes based on BLUP values averaged across correlated settings of C1 and C2, eliminating C3 due to low genetic correlation with the other trials and low genetic variation. Based on these clusters, the genotypes with the highest potential EBW192350 and EBW192369 were selected for a subsequent verification study that might potentially use them as a released variety. For genetic variance, the estimates for variance component parameters ranged from 0.069 to 2.896 and error variance, they ranged from 0.175 to 1.002. Therefore, increasing the application of this efficient analysis method will improve the selection of superior bread wheat varieties. The two genotypes can be further verified using national performance trials/ or verified in farmers’ fields for registration and commercialization.
Abstract: To predict bread wheat genetic potential across environments and adaption in low moisture stress wheat growing areas of Ethiopia. Multi-location trials were conducted in Ethiopia from 2020 to 2021 in main seasons. A total of advanced genotypes including the checks were arranged in randomized complete block design in a rectangular (row x column) arr...
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Research Article
Analyzing Sunflower Trait Patterns Using MANOVA, PCA, and Correlation Across Seasons and Locations
Birhanu Mengistu Aboye*,
Tilahun Mola Tesema
Issue:
Volume 10, Issue 3, September 2024
Pages:
87-95
Received:
30 August 2024
Accepted:
18 September 2024
Published:
29 September 2024
Abstract: Sunflower is an important agricultural crop valued for its high oil yield, versatility in culinary and industrial applications and adaptability to diverse environments. Eight advanced sunflower genotypes were tested in a randomized complete block design (RCBD) with three replications at six locations over the 2018 and 2019 seasons. The study aimed to evaluate the effects of environmental and genotypic variations using MANOVA, PCA, and correlation analysis to discover trait patterns and relationships. The MANOVA results revealed highly significant effects of genotype, environment, and their interaction on the 11 dependent variables (p < 0.001). The four principal components account for 74.23% of the total variation, with key traits such as seed yield per hectare, oil yield per hectare, days to maturity, plant height, and grain filling period significantly contributing to the overall variability. Oil yield per hectare and seed yield per hectare exhibited a very strong association (0.974). Days to maturity (DM) and grain filling period (GFP) showed a strong correlation (0.666), suggesting that longer grain filling periods may enhance both maturity and yield. Additionally, plant height (PH) and seed yield per hectare (YELDK) had a moderate correlation (0.491). Breeding programs should target traits with strong correlations to boost sunflower productivity and adaptability. Future research should prioritize selecting genotypes that perform well across diverse environments, focusing on seed yield, oil yield, and traits such as maturity and grain filling period. Additionally, breeding should incorporate disease resistance and optimize days to flowering to develop more robust and productive sunflower varieties.
Abstract: Sunflower is an important agricultural crop valued for its high oil yield, versatility in culinary and industrial applications and adaptability to diverse environments. Eight advanced sunflower genotypes were tested in a randomized complete block design (RCBD) with three replications at six locations over the 2018 and 2019 seasons. The study aimed ...
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