Your search found 10 records
1 Terry, E. R.; Doku, E. V.; Arene, O. B.; Mahunum, N. M. (Eds.) 1984. Tropical root crops: Production and uses in Africa; proceedings of the second Triennial Symposium of the International Society for Tropical root Crops - Africa Branch, Douala, Cameroon 14-19 August 1983. Ottawa, Canada: IDRC. 231 p. (IDRC - 221 e)
Cassava ; Root crops ; Plant propagation ; Plant diseases ; Fertilizers ; Bananas ; Pests ; Crop yield ; Agricultural research ; Sweet potatoes / Africa
(Location: IWMI-HQ Call no: 633.4 G100 TER Record No: H0102)
2 Dvor k, K. A. (Ed.) 1993. Social science research for agricultural technology development: Spatial and temporal dimensions - Proceedings of an International Institute of Tropical Agriculture (IITA), Rockefeller Foundation Workshop, 2-5 October 1990, Ibadan, Nigeria. Wallingford, UK: CABI. xx, 223p.
Agricultural economics ; Agricultural development ; Agricultural research ; Agricultural production ; Sciences ; Technology ; Research ; Social aspects ; Food production ; Environmental effects ; Sweet potatoes ; Rice ; Farmers' associations ; Wheat ; Cereals ; Maize / Dominican Republic / West Africa / Pakistan / India / Nigeria
(Location: IWMI-HQ Call no: 338.1 G000 DVO Record No: H013341)
3 Users' Perspectives With Agricultural Research and Development (UPWARD) 1996. Into action research: Partnerships in Asian rootcrop research and development. Manila: Philippines: UPWARD. xvii, 278p.
Agricultural research ; Root crops ; Sweet potatoes ; Potatoes / Asia / Indonesia / Philippines / Nepal / Vietnam / Java / China / Irian Jaya / Zhejiang
(Location: IWMI-HQ Call no: 630.72 G570 USE Record No: H021236)
4 Peiris, C. N. (Ed.) 1996. Tropical agricultural research. Vol.8, 1996: Proceedings of the 8th Annual Congress of the Postgraduate Institute of Agriculture, Peradeniya, Sri Lanka, 21-22 November 1996. Peradeniya, Sri Lanka: University of Peradeniya. Postgraduate Institute of Agriculture (PGIA). vii, 449p.
Agricultural research ; Conferences ; Agronomy ; Crop production ; Rice ; Soil properties ; Sweet potatoes ; Irrigation effects ; Aquifers ; Wells ; Remote sensing ; Natural resources ; Fisheries ; Bananas ; Pest control / Sri Lanka / Thailand
(Location: IWMI-HQ Call no: 630.72 G744 PEI Record No: H023273)
5 Warham, E. J. (Ed.) 1998. DFID and the Consultative Group on International Agricultural Research (CGIAR): The Competitive research facility 1990-1997. London, UK: DFID. viii, 146p.
Agricultural research ; Research projects ; Research institutes ; Pest control ; Plant diseases ; Beans ; Wheat ; Maize ; Potatoes ; Sweet potatoes ; Cereals ; Rice ; Fish farming ; Sorghum ; Animal husbandry ; Bananas ; Coconuts ; Soil salinity
(Location: IWMI-HQ Call no: 630.72 G000 WAR Record No: H024383)
6 Syers, J. K.; Bouma, J. (Eds.) 1998. International Workshop on Resource Management Domains: Proceedings, Kuala Lumpur, Malaysia, 26-29 August 1996. Bangkok, Thailand: IBSRAM. viii, 322p. (IBSRAM proceedings no.16)
Resource management ; Soil management ; Land management ; Natural resources ; Decision making ; Land use ; Planning ; Forestry ; Rice ; Rain-fed farming ; Traditional farming ; GIS ; Remote sensing ; Agricultural research ; Simulation models ; Soil fertility ; Water balance ; Crop production ; Evaluation ; Decision support tools ; Sweet potatoes ; Case studies / Malaysia / Nepal / Papua New Guinea / Fiji / West Africa / Zambia / Thailand
(Location: IWMI-HQ Call no: 631.4 G000 SYE Record No: H028221)
7 Qaim, M. 2001. A prospective evaluation of biotechnology in semi-subsistence agriculture. Agricultural Economics, 25:165-175.
Sweet potatoes ; Crop production ; Biotechnology ; Research projects ; Agricultural research ; Models ; Economic aspects ; Cost benefit analysis ; Sensitivity analysis ; Public sector ; Private sector / Kenya
(Location: IWMI-HQ Call no: P 6077 Record No: H030582)
8 Walker, T. S.; Alwang, J. (Eds.) 2015. Crop improvement, adoption, and impact of improved varieties in food crops in Sub-Saharan Africa. Montpellier, France: CGIAR; Wallingford, UK: CABI. 450p.
Crop improvement ; Food crops ; Adoption ; Improved varieties ; Genetic improvement ; Performance evaluation ; Diffusion ; Agricultural research ; Research programmes ; Investment ; Technological changes ; Monitoring ; Impact assessment ; Rural poverty ; Food security ; Cassava ; Cowpeas ; Soybeans ; Yams ; Maize ; Rice ; Wheat ; Groundnuts ; Pearl millet ; Pigeon peas ; Sorghum ; Potatoes ; Sweet potatoes ; Barley ; Chickpeas ; Faba beans ; Lentils / Africa South of Sahara / West Africa / Central Africa / Southern Africa / East Africa / South Asia / Ethiopia / Eritrea / Sudan / Uganda / Rwanda / India
(Location: IWMI HQ Call no: 338.10967 G110 WAL Record No: H047766)
(6.30 MB) (6.30 MB)
9 Sawadogo, A.; Kouadio, L.; Traore, F.; Zwart, Sander J.; Hessels, T.; Gundogdu, K. S. 2020. Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators. ISPRS International Journal of Geo-Information, 9(8):484. (Special issue: Observation-Driven Understanding, Prediction, and Management in Hydrological/Hydraulic Hazard and Risk Studies) [doi: https://doi.org/10.3390/ijgi9080484]
Irrigation schemes ; Performance evaluation ; Satellite imagery ; Remote sensing ; Performance indexes ; Irrigation water ; Water management ; Food security ; Climate change ; Crop water use ; Water productivity ; Evapotranspiration ; Landsat ; Crop yield ; Rice ; Maize ; Sweet potatoes ; Models / Africa South of Sahara / Burkina Faso / Kou Valley Irrigation Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H049932)
(4.17 MB) (4.17 MB)
Traditional methods based on field campaigns are generally used to assess the performance of irrigation schemes in Burkina Faso, resulting in labor-intensive, time-consuming, and costly processes. Despite their extensive application for such performance assessment, remote sensing (RS)-based approaches remain very much underutilized in Burkina Faso. Using multi-temporal Landsat images within the Python module for the Surface Energy Balance Algorithm for Land model, we investigated the spatiotemporal performance patterns of the Kou Valley irrigation scheme (KVIS) during two consecutive cropping seasons. Four performance indicators (depleted fraction, relative evapotranspiration, uniformity of water consumption, and crop water productivity) for rice, maize, and sweet potato were calculated and compared against standard values. Overall, the performance of the KVIS varied depending on year, crop, and the crop’s geographical position in the irrigation scheme. A gradient of spatially varied relative evapotranspiration was observed across the scheme, with the uniformity of water consumption being fair to good. Although rice was the most cultivated, a shift to more sweet potato farming could be adopted to benefit more from irrigation, given the relatively good performance achieved by this crop. Our findings ascertain the potential of such RS-based cost-effective methodologies to serve as basis for improved irrigation water management in decision support tools.
10 Gardner, A. S.; Gaston, K. J.; Maclean, I. M. D. 2021. Combining qualitative and quantitative methodology to assess prospects for novel crops in a warming climate. Agricultural Systems, 190:103083. [doi: https://doi.org/10.1016/j.agsy.2021.103083]
Crops ; Cultivation ; Assessment ; Climate change ; Temperature ; Farmland ; Farmers ; Borago officinalis ; Soybeans ; Hemp ; Sea kale ; Sweet potatoes ; Microclimate ; Models / England / Cornwall / Isles of Scilly
(Location: IWMI HQ Call no: e-copy only Record No: H050369)
https://www.sciencedirect.com/science/article/pii/S0308521X21000366/pdfft?md5=76ecc004f7310db623d676ce82532ce1&pid=1-s2.0-S0308521X21000366-main.pdf
https://vlibrary.iwmi.org/pdf/H050369.pdf
https://vlibrary.iwmi.org/pdf/H050369.pdf
(2.76 MB) (2.76 MB)
Context: Climate change will alter the global distribution of climatically suitable space for many species, including agricultural crops. In some locations, warmer temperatures may offer opportunities to grow novel, high value crops, but non-climatic factors also inform agricultural decision-making. These non-climatic factors can be difficult to quantify and incorporate into suitability assessments, particularly for uncertain futures.
Objective: To demonstrate how qualitative and quantitative techniques can be combined to assess crop suitability with consideration for climatic and non-climatic factors.
Methods: We carried out a horizon scanning exercise that used Delphi methodology to identify possible novel crops for a region in south-west England. We show how the results of the expert panel assessment could be combined with a crop suitability model that only considered climate to identify the best crops to grow in the region.
Results and conclusions: Whilst improving climate and crop models will enhance the ability to identify environmental constraints to growing novel crops, we propose horizon scanning as a useful tool to understand constraints on crop suitability that are beyond the parameterisation of these models and that may affect agricultural decisions.
Significance: A similar combination of qualitative and quantitative approaches to assessing crop suitability could be used to identify potential novel crops in other regions and to support more holistic assessments of crop suitability in a changing world.
Objective: To demonstrate how qualitative and quantitative techniques can be combined to assess crop suitability with consideration for climatic and non-climatic factors.
Methods: We carried out a horizon scanning exercise that used Delphi methodology to identify possible novel crops for a region in south-west England. We show how the results of the expert panel assessment could be combined with a crop suitability model that only considered climate to identify the best crops to grow in the region.
Results and conclusions: Whilst improving climate and crop models will enhance the ability to identify environmental constraints to growing novel crops, we propose horizon scanning as a useful tool to understand constraints on crop suitability that are beyond the parameterisation of these models and that may affect agricultural decisions.
Significance: A similar combination of qualitative and quantitative approaches to assessing crop suitability could be used to identify potential novel crops in other regions and to support more holistic assessments of crop suitability in a changing world.
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