From 1 - 10 / 24
  • Categories      

    Water Use Efficiency (RUE) for maize stover biomass across the Ethiopia has been estimated under unfertilized conditions and under two different fertilizer application rates using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management.

  • Categories  

    Degree of socio-economic marginality in Ethiopia, using the following conditional indicators of the health sector: 1. Illiteracy rate (% of population (>5years) not being able to read and write in their native language) 2. Net not enrolment ratio primary school (total no. of students (age 7-14) being not enroled, expressed as % of total pop. in primary school age) 3. Net not enrolment ratio secondary school (total no. of students (age 15-18) being not enroled, expressed as % of total pop. in secondary school age) Data source: 1. Central Statistical Agency(CSA), ICF International (2012): Ethiopia Demographic and Health Survey 2011. Addis Ababa, Ethiopia; Calverton, USA 2./3. Central Statistical Agency (CSA) (2007): Population and Housing Census. Atlas of Ethiopia 2007. Washington DC, USA

  • Categories    

    Trees inside one-heactare plots in Bolgatanga Municipal and Bongo districts were measured and identified. Selection of the plots was done randomly trying to spread them over the different parts of the region and represent the main land use types. Allometric measurements of trees - DBH - Crown diameter - Height Specie identification - Local name - Botanical name - English name Location - GPS record

  • Categories      

    Overlay of medium, high and very high agricultural potential and yield gaps for Bangladesh. Indicators: Suitability of land area for rainfed crops: FGGD map 6.60, classes: medium to very high Yield Gaps: FAO/IIASA - GAEZ < 0.5 The here presented simple analysis should give insights in potential suitable areas for expecting high yields. Yield gap information for Bangladesh further showed were gaps for production occur. By resampling the statistical data into a raster dataset an overlap with suitability information based on sateliite imagery was possible. The overlay was processed in ArcGIS classifying those areas where yield gaps occur with suitability areas as defined by the dataset cited above. Yield gaps can be found in the southern part of Bangladesh. More intersting are the dark green areas where according to satellite information high potential areas are located but not as many yields are produced. Here, more detailed analysis might be useful.

  • Categories      

    The stover biomass for maize across the Ethiopia has been estimated using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management. The stover biomass gap of a crop grown in a certain location and cropping system is defined as the difference between the stover biomass under optimum management and the average stover biomass achieved by farmers. Stover biomass under optimum management is labeled as potential biomass (Bp) under irrigated conditions or water-limited potential biomass (Bw) under rain-fed conditions.Bp is location specific because of the climate, and not dependent on soil properties assuming that the required water and nutrients are non-limiting and can be added through management. Thus, in areas without major soil constraints, Bp is the most relevant benchmark for irrigated systems. Whereas, for rain-fed crops, Bw, equivalent to water-limited potential biomass, is the most relevant benchmark. Both Bp and Bw are calculated for optimum planting dates, planting density and region-specific crop variety which is critical in determining the feasible growth duration, particularly in tropical climatic conditions where two or even three crops are produced each year on the same field.

  • Categories    

    Overlapping Marginality Dimensions in Bangladesh. Methodology see also: Graw, V. and C. Ladenburger. 2012. Mapping Marginality Hotspots - Geographical Targeting for Poverty Reduction. (ZEF Working Papers 88). Indicators: Per capita income (HIES 2010, cut-off-point: least 3rd quantile) Under-five child mortality: DHS Survey 2008 (cut-off-point: least 3rd quantile) Accessibility: Nelson 2008; cut-off-point: more than 3 hours distance) Gender: Difference of men and women in eduction; secondary school complete and higher: DHS Survey 2008 (cut-off-point: least 3rd quantile) An overlay was created with the above mentioned indicators based on the respective thresholds. Those areas where most indicators - with low performance - overlap were ranked as those areas experiencing highest marginality.

  • Categories      

    The yield gap for maize in two regions (Ashanti Region and Brong-Ahafo region) in Ghana has been estimated using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management. The yield gap of a crop grown in a certain location and cropping system is defined as the difference between the yield and biomass under optimum management and the average yield achieved by farmers. Yield under optimum management is labeled as potential yield (Yp) under irrigated conditions or water-limited potential yield (Yw) under rain-fed conditions.Yp is location specific because of the climate, and not dependent on soil properties assuming that the required water and nutrients are non-limiting and can be added through management. Thus, in areas without major soil constraints, Yp is the most relevant benchmark for irrigated systems. Whereas, for rain-fed crops, Yw, equivalent to water-limited potential yield, is the most relevant benchmark. Both Yp and Yw are calculated for optimum planting dates, planting density and region-specific crop variety which is critical in determining the feasible growth duration, particularly in tropical climatic conditions where two or even three crops are produced each year on the same field.

  • Categories  

    Agro-ecological suitability for rainfed crops in Ethiopia based on the raster data set puplished by Fischer et al. (2002) Fischer et al. (2002) produced a worldwide classification raster of agronomic suitability based on crop modeling, including climate, soil and slope data. The mean suitability value of each woreda was calculated from the raster set and mapped on woreda level. Data source: Fischer et al. (2002): Global Agro-ecological Assessment for Agriculture in the 21st Century: Methodology and Results. International Institute for Applied Systems Analysis, Laxenburg, Austria

  • Categories    

    Agronomic Fertilizer Use Efficiency (WUE) for maize biomass in Ashanti region and Brong-Ahafo region in Ghana has been estimated under three different fertilizer application rates using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management.

  • Categories      

    Agronomic Radiation Use Efficiency (RUE) for maize biomass in Ashanti region and Brong-Ahafo region in Ghana has been estimated under three different fertilizer application rates using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management.