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Development of predictive models for simulating vegetative and reproductive phenology in European hazelnut trees (Corylus avellana L.).

Rosales A, Ortega-Farías S, de la Fuente-Sáiz D, Morales-Zárate R, Campillay-Llanos W

Phenology

Hazelnut orchards in warming regions are flowering and leafing out at shifting times each year, and growers who miss those windows by even a week can lose yield — these models give a forecast so management decisions can move with the tree, not against it.

Scientists tracked hazelnut trees across four growing seasons in Chile, recording exactly when buds broke, flowers opened, and nuts developed. They used daily temperature data to build models that can predict those timing milestones with high accuracy. The models work well enough that orchard managers could use them like a weather forecast — knowing in advance when key growth stages are coming so they can plan accordingly.

Key Findings

1

Models explained 80–94% of the variation in hazelnut phenological timing (R² = 0.80–0.94) for both 'Tonda di Giffoni' and 'Barcelona' cultivars.

2

Validation showed prediction errors as low as 0.43 phenological units (RMSE range: 0.43–1.08) with model efficiency values of 0.94–0.99, indicating very high predictive accuracy.

3

A stochastic component was added to quantify uncertainty, giving growers a range of likely outcomes rather than a single prediction — useful for planning under climate variability.

chevron_right Technical Summary

Researchers in Chile built mathematical models that accurately predict when hazelnut trees will leaf out, flower, and set fruit — information growers need to time irrigation, pest control, and fertilization as climate patterns become less predictable.

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Abstract Preview

In Chile, European hazelnut production has expanded substantially in Mediterranean and temperate regions in recent years. However, these areas are experiencing increasing temperature variability an...

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hub This connects to 11 other discoveries — European hazelnut, hazelnut phenology, climate-adaptation, crop-improvement +1 more 5 related articles

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