title: [A study on fresh rhizome simulation model and its application to comprehensive agronomic measures for good quality and high yield of Curcuma longa L].
abstract: OBJECTIVE
  To work out standardized cultivating measures for Curcuma longa according to the analysis of fresh rhizome simulation model.
  
  
  METHODS
  Second order orthogonal rotative regression design.
  
  
  RESULTS
  The fresh rhizome simulation model was built up, and 5 main measures that affect fresh rhizome yield were analyzed by the mathematical model of five unknowns second order orthogonal rotative regression. Sowing time, plant population and potassium play an important role in raising the fresh rhizome yield. Sowing time is clearly interrelated with plant population, and plant population is clearly interrelated with the fertilizer used Sufficient N and K are necessary for raising the yield. There is a clear interrelation among the fertilizer factors.
  
  
  CONCLUSIONS
  Optimal farming measures: sowing time March 1-17, and plant population-110,000 to 115,000 mother rhizomes per hm2. The optimal fertilizer requirements have also been formulated.
authors.affiliation: Chongqing Academy of Chinese Materia, Chongqing 400065.
authors.forename: L
authors.initials: L
authors.lastname: Li
authors.forename: H
authors.initials: H
authors.lastname: Song
authors.forename: Y
authors.initials: Y
authors.lastname: Zhang
authors.forename: S
authors.initials: S
authors.lastname: Fu
mesh_terms: D003198:Computer Simulation; D030024:Curcuma / Q000737:chemistry / Q000254:growth & development*; D003474:Curcumin / Q000032:analysis; D005308:Fertilizers; D008962:Models, Theoretical; D010946:Plants, Medicinal / Q000737:chemistry / Q000254:growth & development*; D011786:Quality Control; D027343:Rhizome / Q000737:chemistry / Q000254:growth & development; D012621:Seasons
chemical_list: D005308:Fertilizers; D003474:Curcumin