Phenological field observations were used to parameterize and test a Degree Day model for durum wheat (Triticum durum, Desf.) across the Italian peninsula. Data come from different experimental fields located in northern, central and southern Italy and encompass scalar sowing dates, allowing to parameterize a model representative for a wide range of sites and growing seasons. To assure the basic assumption of the Degree Day method, wheat subphases were identified to enable the best linear relationship (less data dispersion and higher coefficient of determination) between developmental rates and average air temperature. Under proven linear temperature responses, the model gave satisfactory simulations of wheat phenology over different locations and sowing period (R2 = 0.96; RMSE = 8,4 days; no bias, minimal complexity), even if the heat supply (growing degree days counted from 0°C) was very different among sites.

A degree day model for durum wheat (Triticum durum, Desf.) across the Italian peninsula

FRANCESCA VENTURA;MARCO VIGNUDELLI;
2017

Abstract

Phenological field observations were used to parameterize and test a Degree Day model for durum wheat (Triticum durum, Desf.) across the Italian peninsula. Data come from different experimental fields located in northern, central and southern Italy and encompass scalar sowing dates, allowing to parameterize a model representative for a wide range of sites and growing seasons. To assure the basic assumption of the Degree Day method, wheat subphases were identified to enable the best linear relationship (less data dispersion and higher coefficient of determination) between developmental rates and average air temperature. Under proven linear temperature responses, the model gave satisfactory simulations of wheat phenology over different locations and sowing period (R2 = 0.96; RMSE = 8,4 days; no bias, minimal complexity), even if the heat supply (growing degree days counted from 0°C) was very different among sites.
Atti Dei : XX Convegno nazionale dell'Associazione italiana di Agrometeorologia (AIAM); XLVI Convegno nazionale della Società italiana di Agronomia (SIA). “Strategie integrate per affrontare le sfide climatiche e agronomiche nella gestione dei sistemi agroalimentari. Integrated strategies for agro-ecosystem management to address climate change challenges”.
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ARIANNA DI PAOLA, FRANCESCA VENTURA, MARCO VIGNUDELLI, MAURIZIO SEVERINI
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/624446
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