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  Modelling of hemp phenology and productivity
 
The model used in HempSys uses weather data records of past years to simulate phenology and productivity. It is based on a mechanistic simulation model, and at current stage of model development, water and nitrogen are considered not limiting.

The model is essentially composed by two sub-models: phenological and growth and development. The model uses innovative solutions and state of the art knowledge to simulate all processes by means of mechanistic approaches. The phenological sub-model is developed from the generalisation of previous modelling studies and optimised under a set of alternative conditions (cultivar, year, sowing time). The growth and development model is formulated within the framework of a transport-resistance model of partitioning and can be considered more mechanistic than hitherto been the case providing an alternative to the empirical methods, which have usually been employed for hemp and other crops. More info and model description
  Simulations
 

Simulations are base on climate data provided provided by the Institute for protection and security of the citizen (ipsc), AGRIFISH Unit, htto://agrifish.jrc.it. Each report is obtained with of a multy-year simulation, generally 30 years, (climate data from 1975 to 2005) .
The report contains information on phenelogical development (emergence and flowering date) and stem productivity.
For flowering date and stem productivity beside the mean value, min, max and standard deviation are also reported.

The model con be considered as a tool to asses the influence of cultivar and planting date on phonological development and stem productivity, the model has been validated only for Italian conditions and the extension of the results outside Italy has to be done carefully.

Click here for a simulation of crop cycle and crop production

  Disclaimer:
 

The service provided on this website is mainly intended for information and scientific work. The authors cannot guarantee it’s performance or take responsibility for any loss, economic or otherwise, that might be incurred by using it