Editors:
- Presents examples on the application of DSSAT models and general crop modelling concepts, using African examples
- Presents and discusses minimum dataset requirement for appropriate modelling in DSSAT
- Highlights common challenges of crop growth modelling in the African situation
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Inst. International Centre for Tropical, Agriculture (TSBF-CIAT), Tropical Soil Biology & Fertility, Nairobi, Kenya
Job Kihara
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ICRISAT, Niamey, Niger
Dougbedji Fatondji, Ramadjita Tabo
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GAINESVILLE, USA
James W Jones
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AgWeatherNet, Prosser, USA
Gerrit Hoogenboom
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, Soil Health Program, Alliance for a Green Revolution in Afric, Accra, Ghana
Andre Bationo
Bibliographic Information
Book Title: Improving Soil Fertility Recommendations in Africa using the Decision Support System for Agrotechnology Transfer (DSSAT)
Editors: Job Kihara, Dougbedji Fatondji, James W Jones, Gerrit Hoogenboom, Ramadjita Tabo, Andre Bationo
DOI: https://doi.org/10.1007/978-94-007-2960-5
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2012
Hardcover ISBN: 978-94-007-2959-9Published: 14 March 2012
Softcover ISBN: 978-94-007-9690-4Published: 16 April 2014
eBook ISBN: 978-94-007-2960-5Published: 12 March 2012
Edition Number: 1
Number of Pages: VIII, 188
Topics: Agriculture, Soil Science & Conservation, Simulation and Modeling