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Evaluating Cardinal temperature for seed germination rate of Salvia spp | ||
| علوم و فناوری بذر ایران | ||
| Article 9, Volume 3, Issue 2 - Serial Number 6, December 2014, Pages 233-239 PDF (1.1 M) | ||
| Document Type: Original Article | ||
| Abstract | ||
| Evaluating of an appropriate model is critical for quantifying the response of germination rate to temperature and determination of cardinal temperatures. This study was conducted to evaluate different nonlinear regression models to describe response of germination rate to temperature in Salvia species. The regression models were dent-like, segmented and beta. Root mean squareof error, coefficient of determination, correlation coefficient and regression of predicted values versus observed ones were used to find the appropriate model(s). Dent-like and segment models were superior compared to the Beta model in Salvia species. It was concluded that these models can be used to quantify response of Salvia species germination to temperature and to obtain cardinal temperature of germination. These parameters are required to predict Salvia species germination and emergence. | ||
| Keywords | ||
| cardinal temperatures; germination rate; Nonlinear models; Salvia | ||
| References | ||
|
Alvarado, V., and K.J. Bradford. 2002. A hydrothermal time model explains the cardinal temperatures for
seed germination. Plant Cell Environ. 25: 1061-1069.
Anda, A. and Pinter, L. 1994. Sorghum germination and development as influenced by soil temperature and
water content. Agron. J. 86:621-624.
Brady, N. C. and R. R. Weil. 2002. The Nature and Properties of Soils. 13th Edition. Prentice Hall, USA.
pp. 935.
Brar, G. S. , Gomez, J. F. , McMichael, B. L. , Matches, A. G. , and Taylor, H. M. 1991. Germination of
twenty forage legumes as influenced by temperature. Agron. J. 83: 173-175.
Burnham, KP., Anderson D. 2002. Model selection and multimodel inference: a practical informationtheoretic
approach
Devilliers , A. J. , VanRoyan, M. W, Theron, G. K. and Deventer, H. A. 1994.
Jame, Y. W. , and Cutforth, H. W. 2004. Simulating the effects of temperature and seeding depth on
germination and emergence of spring wheat. Agric. For. Meteorol. 124: 207-218.
Kamkar, B., Ahmadi, M., Mahdavi-Damghani, A. and Villalobos, F. J. 2012. Quantification of the
cardinal temperatures and thermal time requirement of opium poppy (Papaver somniferum L.) seeds to
germinate using nonlinear regression models. Ind Crop Prod. 35:192- 198.
Mwale, S. S. , Azam-Ali, S. N. , Clark, J. A. , Bradley, R. G. and Chataha, M. R. 1994. Effect of
temperature on germination of sunflower (Helianthus annuus L. ). Seed Sci. Technol. 22: 565-571.
Nadjafi, F., L. Tabrizi, J. Shabahang and A. M.Mahdavi Damghani. Cardinal Germination Temperatures
of Some Medicinal Plant Species. Seed Sci. Technol. 30: 51-60.
Nerson, H. 2007. Seed production and germinability of Cucurbit crops. Seed Sci. Biotechnol. 1: 1-10.
Ramin, A. A. 1997. The influence of temperature on germination Taree irani. Seed Sci. Technol. 25: 419-
426.
Soltani, A. , Robertson, M. J. , Torabi, B. , Yousefi-Daz, M. , and Sarparast, R. 2006. Modeling seedling
emergence in chickpea as affected by temperature and sowing depth. Agri. Forest. Met. 138: 156-167.
Soltani, A., Galeshi, S., Zeinali, E. and Latifi, N. 2002. Germination, seed reserve utilization and seedling
growth of chickpea as affected by salinity and seed size. Seed Sci. Technol. 30: 51-60. | ||
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