Your search found 8 records
1 Keller, J.; Smith, B.; Aitken, P.; Le Baron, A.; Meyer, R.; Walter, M.; Wolf, J.. 1984. Irrigation development options and investment strategies for the 1980's: Peru. Logan, UT, USA: Utah State University. viii, 53p. (Water management synthesis report no.14)
(Location: IWMI-HQ Call no: 631.7.8 G530 KEL Record No: H0567)
2 Wolf, J.; Hidalgo, P. 1982. Project 2000: A case study of subutilisation of the Bocono system and corrective action taken. Agricultural Administration, 10;241-254.
(Location: IWMI-HQ Call no: P 1337 Record No: H04814)
3 Hanrahan, M.; Lynch, M.; McAnlis, W.; Wolf, J.. 1990. Evaluation of the on-farm water management project in the Dominican Republic. Washington, DC, USA: Development Strategies for Fragile Lands. xix, 67p. + appendices.
(Location: IWMI-HQ Call no: 631.7.6.2 G320 HAN Record No: H06288)
4 Bhatti, M. A.; Wolf, J.; Thorne, M. D. 1988. Impact of late irrigation on wheat production in the central Punjab of Pakistan. Paper presented at the 1988 International Winter Meeting of the American Society of Agricultural Engineers, Illinois, 13-16 December 1988. 10p.
(Location: IWMI-HQ Call no: IIMI 631.7.2 G730 BHA Record No: H006965)
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(Location: IWMI HQ Call no: 631.7.4 G000 VAN Record No: H010198)
(1.22 MB) (1.21 MB)
6 Wolf, J.; Haack, B. 1994. Rehabilitation assessment of the Helmand-Arghandab Valley Irrigation Scheme in Afghanistan. Water International, 19(3):121-128.
(Location: IWMI-HQ Call no: PER Record No: H015495)
The Helmand-Arghandab Valley irrigation system in southern Afghanistan is one of the country's most important capital resources. Prior to the civil and military conflict that has engulfed Afghanistan for more than 15 years, agricultural lands irrigated by the system produced a large proportion of the country's food grains and cotton. This study successfully employed Landsat satellite imagery, Geographic Information Systems, Global Positioning Systems, and field surveys to assess changes that have occurred in this system since 1973 as a consequence of the war. This information is a critical step in irrigation rehabilitation for restoration of Afghanistan's agricultural productivity.
7 Roetter, R. P.; Hoanh, Chu Thai; Wolf, J.; Abu Bakar, I.; Tawang, A.; van Ittersum, M. K.; Laborte, A. G.; de Ridder, N.; van den Berg, M. M. 2005. Modelling agricultural development options for the Kedah-Perlis region, Malaysia. Paper presented at the International Conference on Agricultural Research for Development, Swiss Federal Institute of Technology, ETH Zurich, Switzerland, 27-29 April 2005. 12p.
(Location: IWMI-HQ Call no: IWMI 338.1 G714 ROE Record No: H038160)
8 Asseng, S.; Ewert, F.; Martre, P.; Rotter, R. P.; Lobell, D. B.; Cammarano, D.; Kimball, B. A.; Ottman, M. J.; Wall, G. W.; White, J. W.; Reynolds, M. P.; Alderman, P. D.; Prasad, P. V. V.; Aggarwal, Pramod Kumar; Anothai, J.; Basso, B.; Biernath, C.; Challinor, A. J.; De Sanctis, G.; Doltra, J.; Fereres, E.; Garcia-Vila, M.; Gayler, S.; Hoogenboom, G.; Hunt, L. A.; Izaurralde, R. C.; Jabloun, M.; Jones, C. D.; Kersebaum, K. C.; Koehler, A-K.; Muller, C.; Kumar, S. N.; Nendel, C.; O’Leary, G.; Olesen, J. E.; Palosuo, T.; Priesack, E.; Rezaei, E. E.; Ruane, A. C.; Semenov, M. A.; Shcherbak, I.; Stockle, C.; Stratonovitch, P.; Streck, T.; Supit, I; Tao, F.; Thorburn, P. J.; Waha, K.; Wang, E.; Wallach, D.; Wolf, J.; Zhao, Z.; Zhu, Y. 2015. Rising temperatures reduce global wheat production. Nature Climate Change, 5:143-147. [doi: https://doi.org/10.1038/nclimate2470]
(Location: IWMI HQ Call no: e-copy only Record No: H046906)
Crop models are essential tools for assessing the threat of climate change to local and global food production1. Present models used to predict wheat grain yield are highly uncertain when simulating how crops respond to temperature2. Here we systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 °C to 32 °C, including experiments with artificial heating. Many models simulated yields well, but were less accurate at higher temperatures. The model ensemble median was consistently more accurate in simulating the crop temperature response than any single model, regardless of the input information used. Extrapolating the model ensemble temperature response indicates that warming is already slowing yield gains at a majority of wheat-growing locations. Global wheat production is estimated to fall by 6% for each °C of further temperature increase and become more variable over space and time.
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