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Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province

Behdani M.A نويسنده , Koocheki A نويسنده , Nassiri M. نويسنده , Rezvani p. نويسنده

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The objective of this study was to develop a thermal model that can be used for prediction of saffron flowering time. For this pwpose, existing data on saffron flower emergence time were collected in a wide range of temperature regimes over the saffron production regions of Khorasan province, Iran. Linear second-order polynomial and 5-parameter beta models were used and statistically compared for their ability in predicting saffron flowering time as a function of temperature. The results showed a significant delay in flowering date across the temperature gradient. While beta model had a better statistical performance but the simple linear model also showed a good predicting ability and therefore, can be used as a reliable model.

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