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