Simulation of corn yields in the Upper Great Lakes Region of the US using a modeling framework
- Author
- SAJIR, Gene R1 2 ; GAGE, Stuart H2 3 ; COLUNGA-GARCIA, Manuel2 3 ; GRACE, Peter4 5 ; ROWSHAN, Shapoor6
[1] Department of Plant Pathology, Michigan State University, East Lansing, MI 48824, United States
[2] Computational Ecology and Visualization Laboratory, Michigan State University, East Lansing, MI 48824, United States
[3] Department of Entomology, Michigan State University, East Lansing, MI 48824, United States
[4] W.K. Kellogg Biological Station, Michigan State University, East Lansing, MI 48824, United States
[5] School of Natural Resource Sciences, Queensland University of Technology, GPO Box 2434, Brisbane, Australia
[6] Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48824, United States - Source
Computers and electronics in agriculture. 2008, Vol 60, Num 2, pp 301-305, 5 p ; ref : 1/2 p
- CODEN
- CEAGE6
- ISSN
- 0168-1699
- Scientific domain
- Agronomy, agriculture, phytopathology; Electronics; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Ecological zones Maize yield Modeling application systems integrative framework (MASIF) Regional modeling Spatial-temporal
- Keyword (fr)
- Analyse spatiale Analyse temporelle Ecologie Modélisation Rendement Simulation Zea mays Etats-Unis Grands Lacs Amérique Angiospermae Gramineae Monocotyledones Plante céréalière Spermatophyta Amérique du Nord Amérique
- Keyword (en)
- Spatial analysis Time analysis Ecology Modeling Yield Simulation Zea mays United States Great Lakes of America Angiospermae Gramineae Monocotyledones Cereal crop Spermatophyta North America America
- Keyword (es)
- Análisis espacial Análisis temporal Ecología Modelización Rendimiento Simulación Zea mays Estados Unidos Grandes Lagos América Angiospermae Gramineae Monocotyledones Planta cerealista Spermatophyta America del norte America
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions
- Discipline
- Agronomy. Soil sciences and vegetal productions
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20047040
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.compag.2007.09.004 
https://dx.doi.org/10.1016/j.compag.2007.09.004
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