Evaluation of a phenological model for strategic decisions for hemp (Cannabis Sativa L.) biomass production across European sites

S. Amaducci, M. Colauzzi, G. Bellocchi, S.L. Cosentino, K. Pahkala, T.J. Stomph, W. Westerhuis, A. Zatta, G. Venturi

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)

Abstract

The optimal combination of yield and quality of hemp fibres from field grown crops is around flowering. Therefore prediction of flowering time would support in planning production and optimization of the cultivar choice for different agro-ecological zones. In the current paper the validation of a recently published model (Amaducci et al., 2008a) is carried out for four varieties across a wide range of sites and thus of air temperature–photoperiod combinations. The model was evaluated by comparing its output to field observations of the duration between emergence and 50% flowering. The model output and observed times from emergence to 50% of flowering generally corresponded well, but some discrepancies were apparent. The biggest discrepancies between estimates and actual data were observed at extreme latitudes. The level of accuracy of the model predictions is satisfactory for strategic decision regarding sowing and harvesting time and cultivar choice, but tactical decisions (e.g. time of harvest based on flowering time) cannot be accurately supported
Original languageEnglish
Pages (from-to)100-110
JournalIndustrial Crops and Products
Volume37
Issue number1
DOIs
Publication statusPublished - 2012

Keywords

  • flowering response
  • industrial hemp
  • growth stage
  • water-stress
  • fiber
  • temperature
  • quality
  • yield
  • time
  • components

Fingerprint

Dive into the research topics of 'Evaluation of a phenological model for strategic decisions for hemp (Cannabis Sativa L.) biomass production across European sites'. Together they form a unique fingerprint.

Cite this