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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 5 | Page No.: 907-909
DOI: 10.3923/jas.2008.907.909
 
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Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province

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

Abstract:
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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How to cite this article:

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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