Research Article

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

M.A. Behdani, A. Koocheki, M. Nassiri and P. Rezvani

The objective of this study was to develop a thermal model that can be used for prediction of saffron flowering time. For this purpose, 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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M.A. Behdani, A. Koocheki, M. Nassiri and P. Rezvani, 2008. Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province. Journal of Applied Sciences, 8: 907-909.

DOI: 10.3923/jas.2008.907.909

URL: https://scialert.net/abstract/?doi=jas.2008.907.909

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Authors

M.A. Behdani

A. Koocheki

M. Nassiri

P. Rezvani

Keywords

Research Article

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

How to cite this article

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