Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 426559
Title Evaluation of a phenological model for strategic decisions for hemp (Cannabis Sativa L.) biomass production across European sites
Author(s) Amaducci, S.; Colauzzi, M.; Bellocchi, G.; Cosentino, S.L.; Pahkala, K.; Stomph, T.J.; Westerhuis, W.; Zatta, A.; Venturi, G.
Source Industrial Crops and Products 37 (2012)1. - ISSN 0926-6690 - p. 100 - 110.
DOI https://doi.org/10.1016/j.indcrop.2011.11.012
Department(s) Crop and Weed Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) flowering response - industrial hemp - growth stage - water-stress - fiber - temperature - quality - yield - time - components
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
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