title: [A dynamic knowledge model for designing suitable sowing date of rice].
abstract: Based on the summarization, induction and extraction of dynamic relationships between growth characteristics, variety type, farming system and ecological conditions via reading literature and consulting experts, a knowledge model for designing the suitable sowing date of rice under varied environments was developed through knowledge engineering and system analysis methods. The model could precisely quantify the suitable sowing date under different environments and production systems. Case studies for the model with the data sets of daily weather conditions, typical varieties, seedling nursery methods and farming systems at 7 different eco-sites indicated a good performance of the model system in decision-making and its wide applicability, and the model could help farmers to use the resources such as sunshine and water effectively.
authors.affiliation: MOA Key Laboratory of Crop Growth Regulation, Nanjing Agricultural University, Nanjing 210095, China. yandc@263.net
authors.forename: Dingchun
authors.initials: D
authors.lastname: Yan
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhu
authors.forename: Weixing
authors.initials: W
authors.lastname: Cao
mesh_terms: D000465:Algorithms; D002681:China; D008962:Models, Theoretical; D012275:Oryza / Q000254:growth & development*; D013997:Time Factors