Determination of cardinal temperatures of lemon balm (Melissa officinalis L.) seeds in response to temperatures and water potentials

Document Type : Research Paper

Authors

1 Former M. Sc. Studdent, Seed Science and Technology, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

2 Professor, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

3 Assistant Professor, Department of Agronomy and Plant Breeding, Aboureihan Campus University of Tehran, Pakdasht, Iran

4 Professor, Department of Agronomy and Plant Breeding, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

Abstract

Germination is series of biochemical reactions that depends mainly on temperature and moisture. Therefore, seed germination rate of lemon balm (Mellissa officinalis L.) were evaluated in temperatures of 20, 23, 25,27, 30 and 32ºC and water potentials of 0, -0.2, -0.4, -0.6 and -0.8MPa. According to the results, germination temperature window was not very wide in a way that germination temperature range was 23-32ºC. Three non-linear regression models (Dent-like, Segmented and Beta) were used to evaluate cardinal temperatures. According to the indices including RMSE, the coefficient of determination (R2) and correlation coefficient (r), the best model was Dent-like which can better estimate germination rate in response to temperature and water potential. The base, the lower and the upper and the ceiling temperatures of lemon balm were 17.31, 30.26, 31.15 and 35ºC in the optimum conditions of water potential, respectively. Biological time for germination ranged from 41 to 137 h in different water potentials. Biological time decreased about 96 h by increasing 1 MPa in water potential. Estimated parameters and the relations can be used to predict time to germination or emergence in lemon balm under wide environmental conditions from normal to drought stress.

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Main Subjects


  1. Akram-Ghaderi, F., Soltani, E., Soltani, A. & Miri, A. A. (2008). Effect of priming on response of germination to temperature in cotton. Journal of Agricuhtural Sciences and Natural Resources, 15, 44-51. (in Farsi)
  2. Alvarado, V. & Bradford, K. J. (2002). A hydrothermal time model explains the cardinal temperatures for seed germination. Plant, Cell & Environment, 25, 1061-1069.
  3. Atashi, S., Bakhshandeh, E., Zeinali, Z., Yassari, E. & Teixeira da Silva, J. A. (2014). Modeling seed germination in Melissa officinalis L. in response to temperature and water potential. Acta Physiologiae Plantarum, 36, 605-611.
  4. Bewley, J. D., Bradford, K., Hilhorst, H. & Nonogaki, H. (2013). Seeds: Physiology of Development, Germination and Dormancy. (Tavakkol- Afshari, R. & Shayan-Far, A., translated). Springer-Verlag New York.
  5. Bradford, K. J. (2002). Application of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Science, 50, 248-260.
  6. Dorri, M. A., Kamkar, B., Aghdasi, M. & Komshi-Kamar, E. (2014). Determine the best model to evaluate the germination characteristics and cardinal temperatures of milk thistle. Iranian Journal of Seed Science and Technology, 3, 189-200. (in Farsi)
  7. Fyfield, T. P. & Gregory, P. J. (1989). Effects of temperature and water potential on germination, radicle elongation and emergence of mungbean. Journal of Experimental Botany, 40, 667-674.
  8. Hardegree, S. P. & Winstral, A.H. (2006). Predicting germination response to temperature. II. Threedimensional regression, statistical gridding and iterative-probit optimization using measured and interpolated-subpopulation data. Annals of Botany, 98, 403–410.
  9. ISTA. (2009). International rules for seed testing. International Seed Testing Association (ISTA). Edition 2009.
  10. Jame, Y. W. & Cutforth, H. W. (2004). Simulating the effects of temperature and seeding depth on germination and emergence of spring wheat. Agricultural and Forest Meteorology, 124, 207-218.
  11. Jami Al-Ahmadi, M. & Kafi, M. (2007). Cardinal temperatures for germination of Kochia scoparia (L.). Journal of Arid Environment, 68, 308-314.
  12. Kamkar, B., Koocheki, A., Nasiri Mahallati, M. & Rezvani Moghdam, M. P. (2005). Cardinal temperatures for germination in three millet species (Panicum miliaceum, Pennisetum glaucum and Setaria italica). Asian Journal of Plant Science, 5, 316-319.
  13. Kebreab, E. & Murdoch, A. J. (1999). Modelling the effect of water stress and temperature on germination rate of Orobanche aegyptiaca seeds. Journal of Experimental Botany, 50, 655-664.
  14. Kebreab, E. & Murdoch, A. J. (2000). The effect of water stress on the temperature range for germination of Orobanche aegyptiaca seeds. Seed Science Research, 10, 127-133.
  15. Larsen, S. U., Bailly, C., Come, D. & Corbineau, F. (2004). Use of the hydrothermal time model to analysis interacting effects of water and temperature on germination of three grass species. Seed Science Research, 14, 35-50.
  16. Michel, B. E. & Kaufmann, M. R. (1973). The osmotic potential of polyethylene glycol 6000. Plant Physiology, 51, 914-916.
  17. Nozari-nejad, M., Zeinali, E., Soltani, A., Soltani, E. & Kamkar, B. (2013). Quantify wheat germination rate response to temperature and water potential. Electronic Journal of Crop Production, 6(4), 117-135. (in Farsi)
  18. Shayanfar, A. Tavakkol Afshari, R., Alizadeh, H., Rasoulnia, A. 2014. Proteome analysis of wheat seed embryo (Tritium aestivum) in tolerant and susceptible cultivars under drought stress during early germination phase. Iranian Journal of Field Crop Science, 46:207-215. (in Farsi)
  19. Soltani, A., Robertson, M. J., Torabi, B., Yousefi-Daz, M. & Sarparast, R. (2006). Modeling seedling emergence in chickpea as affected by temperature and sowing depth. Agricultural and Forest Meteorology, 138, 156-167.
  20. Soltani, A. (2007). Application of SAS in statistical analysis. (2nd ed.). Jahad Daneshgahi Mashhad. (in Farsi)
  21. Soltani, E., Galeshi, S., Kamkar, B. & Akram-Ghaderi, F. (2008). Modeling seed aging effects on the response of germination to temperature in wheat. Seed Science and Biotechnology, 2, 32-36.
  22. Soltani, E., Soltani, A. & Oveisi, M. (2013a). Modeling the effect of deterioration on germination of wheat in drought stress: Germin program optimization to predict the emergence model. Agricultural Crop Management, 15, 147-160. (in Farsi)
  23. Soltani, E., Soltani, A., Galeshi, S., Ghaderi-Far, F. & Zeinali, E. (2013b). Seed germination modeling of wild mustard (Sinapis arvensis L.) as affected by temperature and water potential: hydrothermal time model. Journal of Plant Production, 20, 19-34. (in Farsi)
  24. Soltani, E., Oveisi, M., Soltani, A., Galeshi, S., Ghaderi-Far, F. & Zeinali, E. (2014). Seed germination modeling of volunteer canola as affected by temperature and water potential: hydrothermal time model. Weed Research Journal, 6, 23-38. (in Farsi)
  25. Tahmasebi-Gojegi, S., Naghadi-Badi, H. A., Mehr-Afarin, A., Abdousi, V. & Labafi, M. R. (2014). Germination characteristics and cardinal temperatures of Salvia spp species. Iranian Journal of Seed Science and Technology, 3, 233-239. (in Farsi)
Volume 47, Issue 3 - Serial Number 3
January 2017
Pages 341-351
  • Receive Date: 12 October 2015
  • Revise Date: 21 December 2015
  • Accept Date: 09 January 2016
  • Publish Date: 21 November 2016