Volume 3, Issue 2 ((Autumn & Winter) 2017)                   Iranian J. Seed Res. 2017, 3(2): 31-39 | Back to browse issues page

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Ansari O, Ghaderifar F, Sharif zadeh F, Moradi A. (2017). Evaluation of Nonlinear Regression Models to Describe Seed Germination Response of Mountain Rye (Secale mountanum) to Temperature. Iranian J. Seed Res.. 3(2), 31-39. doi:10.29252/yujs.3.2.31
URL: http://yujs.yu.ac.ir/jisr/article-1-123-en.html
of Seed Science and Technology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran , Ansari_o@ut.ac.ir
Abstract:   (17987 Views)

The present study sought to evaluate the effect of different temperatures on germination and to determine cardinal temperatures (i.e., base, optimum and maximum) of Secale mountanum at temperatures of 3, 5, 10, 15, 20, 25, 30 and 35oC. Three nonlinear regression models (i.e., segmented, dent-like and beta) were used for quantifying the response of germination rate to temperature. The results showed that in addition to germination percentage, the temperature has a significant impact on germination rate. Given the root mean square of errors (RMSE) of germination time, the coefficient of determination (R2), the simple linear regression coefficients a and b, and the relationship between the observed and the predicted germination rates, the best models for determination of cardinal temperatures of Secale mountanum were dent-like and beta models. Base, optimum and maximum temperatures were estimated to be about 2.70 to 3.17, 21.27 to 30.00 and 35.00 to 35.05°C, respectively for the dent-like model. However, given the high value of SE for temperature base and a negative estimate of the base temperature of the beta model, one can report the dent-like model as the right model. Therefore, by using the dent-like model and the estimated parameters, it is possible to use this model for predicting germination.

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Type of Study: Research | Subject: Seed Ecology
Received: 2015/06/24 | Accepted: 2016/05/24

1. Almansouri, M., Kinet, J.M., and Lutts, S. 2001. Effect of salt and osmotic stresses on germination in durum wheat (Triticum durum Desf.). Plant Soil, 231(2): 243-254. [DOI:10.1023/A:1010378409663]
2. Ashraf, M., Bokhari, H., and Cristiti, S. N. 1992. Variation in osmotic adjustment of lentil (Lens culimaris Medic) in response to drought. Acta Botanica Neerlandica, 41(1): 51-62. [DOI:10.1111/j.1438-8677.1992.tb01310.x]
3. Atak, M., Kaya, M D., Kaya, G., Cıkılı, Y., and Ciftçi, C.Y. 2006. Effects of NaCl on the germination, seedling growth and water uptake of triticale. Turkish Journal of Agriculture and Forestry, 30(1): 39-47.
4. Bradford, K.J. 2002. Application of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Science, 50(2): 248-260. [DOI:10.1614/0043-1745(2002)050[0248:AOHTTQ]2.0.CO;2]
5. Cave, R.L., Brich, C.J., Harmmer, G.L., Erwin, J.E., and Johston, M.E, 2011. Cardinal temperatures and thermal time for seed germination of Brunonia australis (Goodeniaceae) and calandrinia sp. (Portulacaceae). HortScience, 45(5): 753-758.
6. Derakhshan, A., Gherekhloo, J., Vidal, R.B., and De Prado, R. 2013. Quantitative description of the germination of littleseed canarygrass (Phalaris minor) in response to temperature. Weed Science, 62(2): 250-257. [DOI:10.1614/WS-D-13-00055.1]
7. Hardegree, S.P. 2006. Predicting germination response to temperature. I. Cardinal-temperature models and subpopulation-specific regression. Annals of Botany, 97(6): 1115-1125. [DOI:10.1093/aob/mcl071] [PMID] [PMCID]
8. Kamkar, B., Jami Al-Ahmadi, M., and Mahdavi-Damghani, A. 2011. Quantification of the cardinal temperatures and thermal time requirement of opium poppy (Papaver somniferum L.) seeds germinate using non-linear regression models. Industrial Crops and Products, 35(1): 192-198. [DOI:10.1016/j.indcrop.2011.06.033]
9. Kaya M.D., Okcu, G., Atak, M., Cıkılı, Y., and Kolsarıcı, O. 2006. Seed treatments to overcome salt and drought stress during germination in sunflower (Helianthus annuus L.). European Journal of Agronomy, 24(4): 291-295. [DOI:10.1016/j.eja.2005.08.001]
10. Piper, E.L., Boote, K.J., Jones, J.W., and Grimm, S.S. 1996. Comparison of two phenology models for predicting flowering and maturity date of soybean. Crop Science, 36(6): 1606-1614. [DOI:10.2135/cropsci1996.0011183X003600060033x]
11. Shafii, B., and Price, W.J. 2001. Estimation of cardinal temperatures in germination data analysis. Journal of Agricultural, Biological, and Environmental Statistics, 6(3): 356-366. [DOI:10.1198/108571101317096569]
12. Soltani, A., Robertson, M.J., Torabi, B., Yousefi-Daz, M., and Sarparast, R. 2006. Modeling seedling emergence in chickpea as influenced by temperature and sowing depth. Agricultural and Forest Meteorology, 138(1): 156-167. [DOI:10.1016/j.agrformet.2006.04.004]
13. Yin, X., Kropff, M.J., McLaren, G., and Visperas, R.M. 1995. A nonlinear model for crop development as a function of temperature. Agricultural and Forest Meteorology, 77(1): 1-16. [DOI:10.1016/0168-1923(95)02236-Q]

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