title: [Study on prediction model of Angelicae sinensis yield per unit in Min County].
abstract: OBJECTIVE
  To establish a prediction model of Angelicae sinensis yield per unit in Min County, and the forecasting information can be provided to correlated department and organization.
  
  
  METHODS
  With the basis of the Angelicae sinensis yield statistics in Min County from 1995 to 2009 and weather data of development phase of each ten days, polynomial forecasting modeling was used and the stimulation forecasting of Angelicae sinensis yield in Min County was carried out.
  
  
  RESULTS
  The results showed that the average accuracy of prediction model was reached to 97.2%, which basically met the demand for yield prediction.
  
  
  CONCLUSIONS
  The prediction model of Angelicae sinensis yield per unit in Min County has good accuracy and relatively correct forecasting information about Angelicae sinensis yield, which provides methodology and important references for dynamic forecasting in the progress of Chinese medicinal materials production.
authors.affiliation: College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210046, China. glory-yan@163.com
authors.forename: Hui
authors.initials: H
authors.lastname: Yan
authors.forename: Jin-Ao
authors.initials: JA
authors.lastname: Duan
authors.forename: Rui-Qi
authors.initials: RQ
authors.lastname: Wang
authors.forename: Zeng-Xiang
authors.initials: ZX
authors.lastname: Guo
authors.forename: Da-Wei
authors.initials: DW
authors.lastname: Qian
authors.forename: Bing-Sheng
authors.initials: BS
authors.lastname: Song
authors.forename: Zi-Qing
authors.initials: ZQ
authors.lastname: He
authors.forename: Hong-Ying
authors.initials: HY
authors.lastname: Gao
mesh_terms: D029971:Angelica sinensis / Q000254:growth & development*; D018533:Biomass; D002681:China; D002980:Climate; D005544:Forecasting; D008962:Models, Theoretical; D018517:Plant Roots / Q000254:growth & development; D010946:Plants, Medicinal / Q000254:growth & development*; D012621:Seasons; D014887:Weather