“…The function predicts phenology using a user-defined starting date and forcing heat data (GDD or GDH), and a dataframe for starting dates and heat requirements. Although the thermal models are highly unrealistic in a biological sense, and not recommended for most species, so far is still the best approach to estimate phenology in grapevine, as more realistic models have not demonstrated superior efficacy (Parker et al, 2011;Prats-llinàs et al, 2018), in contrast to other species like apple (Darbyshire et al, 2017), cherry (Darbyshire et al, 2020) or almond (Diez-Palet et al, 2019).…”
“…The function predicts phenology using a user-defined starting date and forcing heat data (GDD or GDH), and a dataframe for starting dates and heat requirements. Although the thermal models are highly unrealistic in a biological sense, and not recommended for most species, so far is still the best approach to estimate phenology in grapevine, as more realistic models have not demonstrated superior efficacy (Parker et al, 2011;Prats-llinàs et al, 2018), in contrast to other species like apple (Darbyshire et al, 2017), cherry (Darbyshire et al, 2020) or almond (Diez-Palet et al, 2019).…”
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