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Addiet Canna, Ethiopia

Zegeye A.D.,Adet Agricultural Research Center | Steenhuis T.S.,Bahir Dar University | Steenhuis T.S.,Cornell University | Blake R.W.,Bahir Dar University | And 5 more authors.
Ecohydrology and Hydrobiology | Year: 2010

Erosion is of great concern in the Ethiopian highlands. The objective of this study was to determine the soil erosion rates under actual farming conditions by measuring the dimensions and number of rills in 15 agricultural fields in the Debre Mewi watershed near Lake Tana, and to understand farmers' attitudes towards land conservation through personal interviews with one-third of the watershed households. The annual rill erosion rate was 8 to 32 t ha-1. Greatest rates of erosion occurred at planting early in the season but became negligible in August. Major factors influencing land conservation decisions were the demand of labor and lack of technical support for implementing new conservation measures from experts. Source

Gedif M.,Adet Agricultural Research Center | Yigzaw D.,Amhara Region Agricultural Research Institute
Potato Journal | Year: 2014

Potato is one of the important crops grown in mid and high altitude areas of Ethiopia. Several potato genotypes have been introduced in different parts of this region. However, the stability and performance of these genotypes is not yet assessed. Therefore, a study to determine the effect of genotype, environment and their interaction for tuber yield and identify stable potato genotypes was conducted using eight potato genotypes in rainfed production season of years 2010 and 2011 at five potato growing locations in the region. Among the testing locations, the superior mean tuber yield (25.43 t/ha) was obtained at Adet while the inferior (13.89 t/ha) was at Injibara. Similarly, among the genotypes CIP- 396004.337 gave the highest mean tuber yield (25.66 t/ha), while CIP-395011.2 gave the lowest (17.78 t/ha). Combined ANOVA indicated that the main effect due to environments, genotypes and genotype by environment interaction were highly significant. The contribution of E, G and GEI to the total variation in tuber yield was about 47.11%, 8.83% and 44.07%, respectively. The GEI was further partitioned using GGE biplot model. The first two principal components obtained by singular value decomposition of the centered data of tuber yield explained 71.26% of the total variability caused by (G+GE). Out of these variations PC1 and PC2 accounted 51.24 and 20.02% variability, respectively. GGE biplot view of this study identified Serinka as ideal testing location and CIP- 396004.337 as ideal genotype for Amhara region in Ethiopia. Source

The study was conducted in the organic trial field of Wageningen University and Research Centre with the objective of how diversity with the composite cross populations of winter wheat evolves over the years? And which traits show most diversification? Four different aged composite cross population, one CCP-extra population and one pure line winter wheat cultivar were evaluated using a randomized complete block design with three replications. Significant differences were observed for the traits plant height, flag leaf spike length and width of the leaf next to the first leaf. For plant height and flag leaf spike length, all CCPs have higher values for the diversity index. There were no significant differences between the CCPs in values for the Shannon-Weaver diversity index, H'. Genotypes showed highly significant differences for the SD within plots for the traits plant height (p<0.001), flag leaf spike distance (p<0.001), width of the 1st leaf next to the 1st node (p<0.008) and width of the flag leaf (p<0.001). © 2014 Asian Network for Scientific Information. Source

Wolie A.,Adet Agricultural Research Center | Dessalegn T.,Bahir Dar University
African Journal of Agricultural Research | Year: 2011

The associations among yield components and their direct and indirect influence on the grain yield of finger millet were investigated. For this purpose, eighty-eight finger millet (Eleusine coracana (L.) Gaertn.) genotypes were tested using an augmented randomized complete block experimental design with two replications at Adet Agricultural Research Center in 2008. Accordingly, phenotypic and genotypic correlations among the traits and their path coefficients were estimated. Grain yield was significantly correlated with its component characters like plant height (r p=0.446** and r g=0.574**), number of ears per plant (r p=0.364** and r g=0.443**), number of fingers per ear (r p=0.329** and r g=0.532**), finger length (r p=0.361** and r g=0.426**), biomass yield (r p and r g=0.839**), harvest index (r p=0.336** and r g=0.476**) and thousand kernel weight (r p=0.225* and r g=0.267*). Phenotypic path analysis showed biomass yield (0.835) and finger length (0.159), number of fingers per ear (0.016), and number of ears per plant (0.038) to exert positive direct effects on grain yield, while plant height, days to heading and days to maturity exhibited negative direct effects. Genotypic path analysis also revealed that biomass yield (2.240), number of tillers per plant (0.359) and finger length (0.242) exerted positive direct effects on grain yield. Thus, the correlation analysis showed plant height, number of ears per plant, number of fingers per ear, finger length, biomass yield, harvest index and 1000 kernel weight to be important yield components that can be used to improve the yield potential of finger millet genotypes. ©2011 Academic Journals. Source

Wondie M.,Adet Agricultural Research Center | Schneider W.,University of Natural Resources and Life Sciences, Vienna | Melesse A.M.,Florida International University | Teketay D.,University of Botswana
Remote Sensing | Year: 2011

The trend of land cover (LC) and land cover change (LCC), both in time and space, was investigated at the Simen Mountains National Park (SMNP), a World Heritage Site located in northern Ethiopia, between 1984 and 2003 using Geographical Information System (GIS) and remote sensing (RS). The objective of the study was to generate spatially and temporally quantified information on land cover dynamics, providing the basis for policy/decision makers and resource managers to facilitate biodiversity conservation, including wild animals. Two satellite images (Landsat TM of 1984 and Landsat ETM+ of 2003) were acquired and supervised classification was used to categorize LC types. Ground Control Points were obtained in field condition for georeferencing and accuracy assessment. The results showed an increase in the areas of pure forest (Erica species dominated) and shrubland but a decrease in the area of agricultural land over the 20 years. The overall accuracy and the Kappa value of classification results were 88 and 85%, respectively. The spatial setting of the LC classes was heterogeneous and resulted from the biophysical nature of SMNP and anthropogenic activities. Further studies are suggested to evaluate the existing LC and LCC in connection with wildlife habitat, conservation and management of SMNP. © 2011 by the authors. Source

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