Title : Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province ( Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province )
Authors: - - , - - , Mehdi Nassiri Mahallati , Alireza Koocheki , Parviz Rezvani Moghaddam ,
Full TextAbstract
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. Keywords: Crocus sativus, flower emergence, model
Keywords
saffron
@article{paperid:293,
author = { -, - and -, - and Nassiri Mahallati, Mehdi and Koocheki, Alireza and Rezvani Moghaddam, Parviz},
title = {Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province},
journal = {Journal of Applied Sciences},
year = {2008},
volume = {8},
number = {5},
month = {February},
issn = {1812-5654},
pages = {907--909},
numpages = {2},
keywords = {saffron},
}
%0 Journal Article
%T Models to Predict Flowering Time in the Main Saffron Production Regions of Khorasan Province
%A -, -
%A -, -
%A Nassiri Mahallati, Mehdi
%A Koocheki, Alireza
%A Rezvani Moghaddam, Parviz
%J Journal of Applied Sciences
%@ 1812-5654
%D 2008
