ePlant for quantitative and predictive plant science research in the big data era -Lay the foundation for the future model guided crop breeding, engineering and agronomy
Background: The increase in global population, climate change and stagnancy in crop yield on unit land area basis in recent decades urgently call for a new approach to support contemporary crop improvements. ePlant is a mathematical model of plant growth and development with a high level of mechanis...
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Veröffentlicht in: | Quantitative biology 2017, Vol.5 (3), p.260-271 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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