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

Authors: Amaducci, S.; Colauzzi, M.; Bellocchi, G.; Cosentino, S.L.; Pahkala, K.; Stomph, T.J.; Westerhuis, W.; +2 Authors

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

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

Countries
Netherlands, Italy, Italy, Finland
Keywords

biomassa, photo-period, Phenological model; hemp; european union, phenology, components, modelling, industrial hemp, PHENOLOGY, HEMP, Leerstoelgroep Gewas- en onkruidecologie, water-stress, time, biomass, temperature, hemp, yield, parameterization, flowering response, growth stage, hamppu, quality, Ka, Cannabis sativa L, fiber

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
bronze
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