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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
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IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
Successfully Published
Volumes / Issues
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
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Quantification of Barley Emergence to Temperature
- Morteza Eshraghi-Nejad; Abdolmaahdi Bakhshandeh; Mohammad Hossain Gharineh; Afshin Soltani
- The response of seed emergence rate to temperature might be described as a non-linear function. In order to examine seed emergence responses of Barley (Hordeumvulgare L., Var. Sarasari) to temperature regimes and providing the necessary temperature parameters to model this procedure an experiment was performed as 12 sowing date with four replications in 2013-2014. For quantification of temperature effect on emergence rate of seeds, different non-linear regression models including Dentlike, Segmented, and Beta (B) were used. Standard Errors of estimates and regression coefficients (R2) of emergence rate response to temperature and coefficient of determination (a andb) and correlation coefficient of predicted values versus observed were used to find the appropriate model. Investigating regression coefficients indicated that Beta model was more appropriate to quantification of temperature effect on emergence rate of barley. According to these coefficients, cardinal temperatures including Tb, To and Tc were predicted for as 3.5371±14.5382, 25.7390±1.1675, 39.3160±1.5143ºC, respectively. Also, required biological days from sowing to emergence using this model were calculated 3.7042±0.1679 days for barley. These parameters can be used in phenology sub-models, which is the most important component of crop simulation models.
- Select Volume / Issue:
- Year:
- 2015
- Type of Publication:
- Article
- Keywords:
- Emergence Rate; Cardinal Temperature; Nonlinear Fitting; Thermal Time; Biological Days; Barley
- Journal:
- IJAIR
- Volume:
- 3
- Number:
- 4
- Pages:
- 1218-1221
- Month:
- Jan.-Feb.
- ISSN:
- 2319-1473
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