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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Quantitative biology 2017, Vol.5 (3), p.260-271
Hauptverfasser: Xiao, Yi, Chang, Tiangen, Song, Qingfeng, Wang, Shuyue, Tholen, Danny, Wang, Yu, Xin, Changpeng, Zheng, Guangyong, Zhao, Honglong, Zhu, Xin-Guang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!