A model estimating the level of floral transition in olive trees exposed to warm periods during winter

Rising winter temperatures jeopardize the fruit yield of trees that require a prolonged and sufficiently cold winter to flower. Predicting the exact risk to different crop varieties is the first step in mitigating the harmful effects of climate change. This work focused on olive (Olea europaea)—a traditional crop in the Mediterranean basin in which flowering depends on the sufficiency of cold periods and the lack of warm ones during the preceding winter. A satisfactory quantitative model forecasting its expected flowering under natural temperature conditions is still lacking. The effect of different temperature regimes on olive flowering level and flowering gene expression was tested empirically. A modified ‘dynamic model’ describing the response of a putative flowering factor to the temperature signal was constructed. The crucial component of the model was an unstable intermediate, produced and degraded at temperature-dependent rates. The model accounts for the number of both cold and warm hours and also for their sequence. Empirical flowering and temperature data were applied to fit the model parameters, using numerical constrained optimization techniques; the model outcomes were successfully validated. The model accurately predicted low-to-moderate flowering under winters with warm periods and properly accounted for the effects of warm periods during winter.