Your search found 7 records
1 Dharmasena, P. B.; Nijamudeen, M. S.; Peiris, K. H. S. 2001. Growth performance of mango and lime with in-situ rainwater harvesting. Annals of the Sri Lanka Department of Agriculture, 3:27-36.
Water harvesting ; Arid zones ; Pitcher irrigation ; Soil moisture ; Fruits ; Mangoes ; Lime ; Citrus fruits / Sri Lanka
(Location: IWMI-HQ Call no: P 7671 Record No: H039435)
2 Teixeira, A. H. de. C.; Bastiaanssen, W. G. M.; Moura, M. S. B.; Soares, J. M.; Ahmad, Mobin-ud-Din; Bos, M. G. 2008. Energy and water balance measurements for water productivity analysis in irrigated mango trees, Northeast Brazil. Agricultural and Forest Meteorology [ISI], 148:1524-1537.
Sprinkler irrigation ; Mangoes ; Fruit crops ; Orchards ; Energy balance ; Water balance ; Evapotranspiration ; Productivity ; Indicators ; Soil water ; Water balance ; Soil moisture / Brazil
(Location: IWMI HQ Call no: IWMI 631.7.2 G514 DEC Record No: H041486)
3 Teixeira, A. H. de. C.; Bastiaanssen, W. G. M.; Ahmad, Mobin-ud-Din; Moura, M. S. B.; Bos, M. G. 2008. Analysis of energy fluxes and vegetation-atmosphere parameters in irrigated and natural ecosystems of semi-arid Brazil. Journal of Hydrology, 362:110-127.
Energy balance ; Evapotranspiration ; Vineyards ; Mangoes ; Orchards ; Vegetation / Brazil / Sao Francisco River
(Location: IWMI HQ Call no: IWMI 631.7.2 G514 DEC Record No: H041634)
4 Teixeira, A. H. de. C. 2008. Measurements and modelling of evapotranspiration to assess agricultural water productivity in basins with changing land use patterns: a case study in the Sao Francisco River Basin, Brazil. PhD thesis partly funded by IWMI's Capacity Building Project. Wageningen, Netherlands: Wageningen University; Enschede, Netherlands: International Institute for Geo-Information Science and Earth Observation (ITC). 233p. (ITC Dissertation 156)
River basins ; Climate ; Land use ; Orchards ; Vineyards ; Mangoes ; Experiments ; Water productivity ; Crop production ; Irrigated farming ; Soil moisture ; Energy balance ; Evapotranspiration ; Models ; Remote sensing ; Water balance ; Soil water ; Vegetation ; Biomass / Brazil / Sao Francisco River Basin
(Location: IWMI HQ Call no: D 631.7.2 G514 TEI Record No: H041666)
http://www.itc.nl/library/papers_2008/phd/decastroteixeira.pdf
https://vlibrary.iwmi.org/pdf/H041666.pdf
https://vlibrary.iwmi.org/pdf/H041666.pdf
5 Teixeira, A. H. de. C.; Bastiaanssen, W. G. M.; Ahmad, Mobin-ud-Din; Bos, M. G. 2008. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River Basin, Brazil: part B - application to the regional scale. Agricultural and Forest Meteorology, 149(3-4):477-490.
River basins ; Evapotranspiration ; Biomass ; Water productivity ; Crop production ; Mangoes ; Grapes ; Irrigated farming ; Experiments ; Remote sensing ; Energy balance / Brazil / Low-Middle Sao Francisco River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H041667)
(1.51 MB)
6 Teixeira, A. H. de. C. 2008. Measurements and modelling of evapotranspiration to assess agricultural water productivity in basins with changing land use patterns: a case study in the Sao Francisco River Basin, Brazil. [PhD thesis partly funded by IWMI's Capacity Building Project]. Wageningen, Netherlands: Wageningen University; Enschede, Netherlands: International Institute for Geo-Information Science and Earth Observation (ITC) 233p. (ITC Dissertation 156)
River basins ; Climate ; Land use ; Orchards ; Vineyards ; Mangoes ; Experiments ; Water productivity ; Crop production ; Irrigated farming ; Soil moisture ; Energy balance ; Evapotranspiration ; Models ; Remote sensing ; Water balance ; Soil water ; Vegetation ; Biomass / Brazil / Sao Francisco River Basin
(Location: IWMI HQ Call no: D 631.7.2 G514 TEI c2 Record No: H042995)
http://www.itc.nl/library/papers_2008/phd/decastroteixeira.pdf
https://vlibrary.iwmi.org/pdf/H041666.pdf
https://vlibrary.iwmi.org/pdf/H041666.pdf
7 Heidenreich, A.; Grovermann, C.; Kadzere, I.; Egyir, I. S.; Muriuki, A.; Bandanaa, J.; Clottey, J.; Ndungu, J.; Blockeel, J.; Muller, A.; Stolze, M.; Schader, C. 2022. Sustainable intensification pathways in Sub-Saharan Africa: assessing eco-efficiency of smallholder perennial cash crop production. Agricultural Systems, 195:103304. [doi: https://doi.org/10.1016/j.agsy.2021.103304]
Crop production ; Cash crops ; Smallholders ; Sustainable intensification ; Cocoa ; Coffee ; Macadamia ; Mangoes ; Environmental impact ; Economic value ; Organic farming ; Case studies ; Soil fertility ; Soil erosion ; Households / Africa South of Sahara / Ghana / Kenya
(Location: IWMI HQ Call no: e-copy only Record No: H050777)
https://www.sciencedirect.com/science/article/pii/S0308521X21002572/pdfft?md5=84b0f1382c836fb544361f4799e0ecd3&pid=1-s2.0-S0308521X21002572-main.pdf
https://vlibrary.iwmi.org/pdf/H050777.pdf
https://vlibrary.iwmi.org/pdf/H050777.pdf
(1.18 MB) (1.18 MB)
CONTEXT: Eco-efficiency offers a promising approach for the sustainable intensification of production systems in Sub-Saharan Africa. Data Envelopment Analysis (DEA), which is widely used for eco-efficiency analyses, is however sensitive to outliers and the analysis of the influence of external factors in the second stage requires the separability assumption to hold. Order-m estimators are proposed to overcome those disadvantages, but have been rarely applied in eco-efficiency analysis.
OBJECTIVE: This paper assesses the eco-efficiency of smallholder perennial cash crop production in Ghana and Kenya. It examines factors influencing eco-efficiency scores and in doing so, tests the application of order-m frontiers as a promising method for eco-efficiency analysis in the agricultural context.
METHODS: The analysis is performed for four selected perennial crop cases, namely cocoa, coffee, macadamia, and mango, applying DEA as well as the order-m approach to a comprehensive empirical dataset. Seven relevant environmental pressures as well as determining factors around capacity development, farm and farmer features, and crop production environment are considered.
RESULTS AND CONCLUSIONS: The distribution of eco-efficiency estimates among coffee farms showed the widest spread, which indicates the greatest potential to increase eco-efficiency. However, also the dispersion of scores within the other crop cases suggests room for improvements of eco-efficiency within the current production context. The subsequent analysis of determinants based on the order-m scores revealed that eco-efficiency scores were strongly influenced by variables, which measure capacity development, and resource endowments, such as labor and land, whereas the crop production environment had some influence, but results were unspecific. Generally, a positive effect is highly context-specific. The results underline the importance of designing effective training modalities and policies that allow knowledge to be put into practice, which involves the creation of marketing opportunities, the provision of targeted and regular advisory services, as well as region-wide measures to build and maintain soil fertility in a sustainable manner.
SIGNIFICANCE: To our knowledge, this study presents the first attempt to apply inputoriented order-m frontiers to assess eco-efficiency in the agricultural context, comparing its eco-efficiency rankings to those estimated with the widely applied DEA approach. This can inform the discussion on robust eco-efficiency assessments.
OBJECTIVE: This paper assesses the eco-efficiency of smallholder perennial cash crop production in Ghana and Kenya. It examines factors influencing eco-efficiency scores and in doing so, tests the application of order-m frontiers as a promising method for eco-efficiency analysis in the agricultural context.
METHODS: The analysis is performed for four selected perennial crop cases, namely cocoa, coffee, macadamia, and mango, applying DEA as well as the order-m approach to a comprehensive empirical dataset. Seven relevant environmental pressures as well as determining factors around capacity development, farm and farmer features, and crop production environment are considered.
RESULTS AND CONCLUSIONS: The distribution of eco-efficiency estimates among coffee farms showed the widest spread, which indicates the greatest potential to increase eco-efficiency. However, also the dispersion of scores within the other crop cases suggests room for improvements of eco-efficiency within the current production context. The subsequent analysis of determinants based on the order-m scores revealed that eco-efficiency scores were strongly influenced by variables, which measure capacity development, and resource endowments, such as labor and land, whereas the crop production environment had some influence, but results were unspecific. Generally, a positive effect is highly context-specific. The results underline the importance of designing effective training modalities and policies that allow knowledge to be put into practice, which involves the creation of marketing opportunities, the provision of targeted and regular advisory services, as well as region-wide measures to build and maintain soil fertility in a sustainable manner.
SIGNIFICANCE: To our knowledge, this study presents the first attempt to apply inputoriented order-m frontiers to assess eco-efficiency in the agricultural context, comparing its eco-efficiency rankings to those estimated with the widely applied DEA approach. This can inform the discussion on robust eco-efficiency assessments.
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