Volume 8, Issue 2 ((Autumn & Winter) 2022)                   Iranian J. Seed Res. 2022, 8(2): 81-96 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Lajorak Shirpour F, Izadi Y, Moosavi S A. (2022). Estimation of Cardinal Temperatures for Tomato (Solanum lycopersicom) Seed Germination Using Nonlinear Regression Models. Iranian J. Seed Res.. 8(2), : 6 doi:10.52547/yujs.8.2.81
URL: http://yujs.yu.ac.ir/jisr/article-1-501-en.html
Department of Plant Production and Genetics, Agricultural Sciences and Natural Resources University of Khuzestan, Khuzestan, Iran , amirmoosavi@asnrukh.ac.ir
Abstract:   (3496 Views)
Extended Abstract
Introduction: Seed germination is one of the most important factors which determine the success of failure of crop establishment. In the absence of other environmental limiting factors such as moisture, temperature would determine the rate and overall seed germination. This research was conducted to investigate the effect of temperature regimes on seed germination, quantify the response of germination rate to temperature and determine the cardinal temperatures for different germination percentiles in Solanum lycopersicom.
Materials and Methods: Two-way factorial experiment including seven constant temperatures (5, 10, 15, 20, 25, 30 and 35 oC) and two tomato varieties (Red cherry: var. Cerasiformi and Yellow pearl: var. Yellow Pear) was conducted based on a completely randomized design arranged with thee replications at the seed technology laboratory of Agricultural Sciences and Natural Resources University of Khuzestan in 2019. Beta, segmented and dent-like functions were used to determine the relationship between germination rate and temperature. Logistic model was used to describe the suitable pattern for the germination of these two cultivars in response to each temperature level.
Results: Results of analysis of variance showed that the interaction effect of temperature and cultivar was significant on all studied traits. Results showed that respectively at temperatures of 15, 20, 25 and 30 oC, total seed germination for yellow pearl tomato was 93%, 96%, 95% and 86% and for red cherry tomato was 95, 98, 93 and 98 percent. There was no seed germination for both tomato varieties at 5, 10 and 35 oC. Based on the results of the fitted models, it was revealed that among the tested non-linear regression models, segmented model described the germination rate of the studied tomato cultivars against the temperature the best (AICc≤70, R2=0.93). Three parameters logistic functions exhibited a reasonable fit (R2=0.96) for germination time course under temperature range of 15 to 30 oC in both cultivars. Based on the segmented model, base, optimum and ceiling temperatures of Yellow pearl and Cherry tomato were estimated 11.25, 28.72, 35.00 oC and 10.97, 28.361 and 35 oC, respectively.
Conclusion: Both tomato cultivars exhibited sensitivity to changes in temperature. Seed germination rate and number of the germinated seeds increased at temperatures higher than base. This increase continued until the optimum temperature and then started to decline as the temperature exceeded from optimum range. Also, results obtained from the logistic function showed that Yellow pearl cultivar is more sensitive to supra-optimal temperatures compared with Cherry tomato, and germination percentage of the 97.79 to 85.09 percent as temperature reached from 25 to 30 oC.

Highlights:
1- The pattern of seed germination in two new tomato cultivars was investigated under temperatures regimes
2- Cardinal temperatures of two new tomato varieties was estimated using nonlinear regression models
Article number: 6
Full-Text [PDF 516 kb]   (927 Downloads)    
Type of Study: Research | Subject: Seed Ecology
Received: 2020/12/27 | Revised: 2024/02/20 | Accepted: 2021/07/10 | ePublished: 2022/05/21

References
1. Abdul-Baki, A.A. and Anderson, J.D. 1973. Vigor determination of soybean seed by multiple criteria. Crop Science, 13(6): 630-633. [DOI:10.2135/cropsci1973.0011183X001300060013x]
2. Andrade, J.A., Cadima, J. and Abreu, F.M. 2018. Modeling germination rate and cardinal temperatures of seven mediterranean crops. Journal of Crop Improvement, 32(6): 878-902. [DOI:10.1080/15427528.2018.1542362]
3. Baath, G.S., Kakani, V.G., Gowda, P. H., Rocateli, A.C., Northup, B.K., Singh, H. and Katta, J.R. 2020. Guar responses to temperature: Estimation of cardinal temperatures and photosynthetic parameters. Industrial Crops and Products, 145: 111940. [DOI:10.1016/j.indcrop.2019.111940]
4. Biradar, G., Laxman, R.H., Namratha, M.R., Thippeswamy, M., Shivashankara, K.S., Roy, T.K. and Sadashiva, A.T. 2019. Induction temperature enhances antioxidant enzyme activity and osmoprotectants in tomato. International Journal of Current Microbiology and Applied Sciences, 8(3): 1284-1293. [DOI:10.20546/ijcmas.2019.803.152]
5. Bradford, K.J. 2002. Applications 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]
6. Burnham, K.P., Anderson, D.R. and Huyvaert, K.P. 2011. AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behavioral Ecology and Sociobiology, 65(1): 23-35. [DOI:10.1007/s00265-010-1029-6]
7. Copeland, L.O. and McDonald, M.B. 2001. Principles of Seed Science and Technology. Dordrecht. The Netherlands: Kluwer Academic Publishers, 18-25.
8. Dehghan, A., Bannayan Awal, M., Khajehossaini, M., Izadi, E. and Mijani, S. 2013. Simulation of emergence pattern of weeds species in Corn (Zea mays L.) field based on sigmoidal models. Journal of Plant Protection, 26(4): 457-466. [In Persian with English Summary].
9. Egli, D.B. and TeKrony, D.M. 1997. Species differences in seed water status during seed maturation and germination. Seed Science Research, 7(1): 3-12. [DOI:10.1017/S0960258500003305]
10. Esechie H. 1994. Interaction of salinity and temperature on the germination of sorghum. Journal of Agronomy and Crop Science, 172(3): 194-199. [DOI:10.1111/j.1439-037X.1994.tb00166.x]
11. Etesami, M., Karizaki, A.R. and Torabi, B. 2015. Quantifying germination response of hibiscus tea (Hibiscus sabdariffa) seeds to temperature. Iranian Journal of Seed Research, 2(1): 73-80. [In Persian with English Summary].
12. Fallahi, H.R., Mohammadi, M., Aghhavani-Shajari, M. and Ranjbar, F. 2015. Determination of germination cardinal temperatures in two basil (Ocimum basilicum L.) cultivars using non-linear regression models. Journal of Applied Research on Medicinal and Aromatic Plants, 2(4): 140-145. [DOI:10.1016/j.jarmap.2015.09.004]
13. FAO. 2019. Food and Agriculture Organization of the United Nations. FAOSTAT Statistical: anonymous: FAO. Available online: http://www.fao.org/faostat/en/#data/RF.
14. Gholamhosseini, M., Sedghi, G.F., Farzaneh, S. and Ghaderi-far, F. 2016. Quantifying of priming effect on the hydrothermal time of sesame seed using regression equations. Doctoral dissertation, Faculty of Agriculture, University of Mohaghegh Ardabili, Iran. 60p. [In Persian with English Summary].
15. Heidari, Z., Kamkar, B. and Masoud Sinaki, J. 2014. Determination of cardinal temperatures of milk thistle (Silybum marianum L.) germination. Advances in Plants and Agriculture Research, 1(5): 21-28. [DOI:10.15406/apar.2014.01.00027]
16. ISTA. 2012. International rules for seed testing. edition 2012. International seed testing association (ISTA). Bassersdorf, Switzerland.
17. Javadi, A. and Khemari, S. 2018. Effect of different methods of seed preparation in tomato seed germination indices. Journal of Seed Research, 8(3): 42-50. [In Persian with English Summary].
18. Jorwar, R.M., Ulemale, D. H. and Sarap, S. M. 2017. Economics of production and marketing of tomato in Amravati district. International Research Journal of Agricultural Economics and Statistics, 8(1): 56-59. [DOI:10.15740/HAS/IRJAES/8.1/56-59]
19. Kamkar, B., Ahmadi, M., Soltani, A. and Zeinali, E. 2008. Evaluating non-linear regression models to describe response of wheat emergence rate to temperature. Seed Science and Biotechnology, 2(2): 53-57.
20. Kamkar, B., Al-Alahmadi, M.J., 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 non-linear regression models. Industrial Crops and Products, 35(1): 192-198. [DOI:10.1016/j.indcrop.2011.06.033]
21. Kamkar, B., Zolfagharnejad, H. and Khalili, N. 2015. Quantifying of germination rate response to temperature of three sunflower varieties using nonlinear regression models. Plant Products Research Journal, 22: 119-136.
22. Karimzadeh Soureshjani, H. K., Bahador, M., Tadayon, M. and Dehkordi, A. G. 2019. Modelling seed germination and seedling emergence of flax and sesame as affected by temperature, soil bulk density, and sowing depth. Industrial Crops and Products, 141: 111770. [DOI:10.1016/j.indcrop.2019.111770]
23. Maguire, J.D. 1962. Speed of germination-aid in selection and evaluation for seedling emergence and vigor. Crop Science, 2(2):176-177. [DOI:10.2135/cropsci1962.0011183X000200020033x]
24. Măgureanu, M., Sîrbu, R., Dobrin, D. and Gîdea, M. 2018. Stimulation of the germination and early growth of tomato seeds by non-thermal plasma. Plasma Chemistry and Plasma Processing, 38(5): 989-1001. [DOI:10.1007/s11090-018-9916-0]
25. Marchiol, L., Filippi, A., Adamiano, A., Degli Esposti, L., Iafisco, M., Mattiello, A. and Braidot, E. 2019. Influence of hydroxyapatite nanoparticles on germination and plant metabolism of tomato (Solanum lycopersicum L.) preliminary evidence. Agronomy, 9(4): 161-170. [DOI:10.3390/agronomy9040161]
26. Matthews, S. and Khajeh Hosseini, M. 2006. Mean germination time as an indicator of emergence performance in soil of seed lots of Maize (Zea mays L.). Seed Science and Technology, 34(2): 339-347. [DOI:10.15258/sst.2006.34.2.09]
27. Mwale, S.S., Azam-Ali, S.N., Clark, J.A., Bradley, R.G. and Chatha, M.R. 1994. Effect of temperature on the germination of sunflower (Helianthus annuus L.). Seed Science and Technology, 22(3): 565-571.
28. Nikoumaram, S., Bayatian, N. and Ansari, O. 2020. Quantification of the priming effect of canola (Brassica napus cv. Zafar) response to temperature using nonlinear regression models. Iranian Journal of Seed Research, 6(2): 111-123. [In Persian with English Summary]. [DOI:10.29252/yujs.6.2.111]
29. Parmoon, G., Moosavi, S.A., Akbari, H. and Ebadi, A. 2015. Quantifying cardinal temperatures and thermal time required for germination of Silybum marianum seed. The Crop Journal, 3(2): 145-151. [DOI:10.1016/j.cj.2014.11.003]
30. 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]
31. Pourreza, J., and A. Bahrani. 2012. Estimating cardinal temperatures of Milk Thistle (Silybum marianum) Seed germination. American-Eurasian Journal Agricultural Environmental Science. 12¬(11): 1485-89.
32. Rezaei Tamijani, M., Esfehani, M. and Sabouri, A. 2016. Determination of cardinal temperatures for germination of Salvia mirzayanii using nonlinear regression. Iranian Journal of Field Crop Science, 48(2): 527-534. [In Persian with English Summary].
33. Ronga, D., Gallingani, T., Zaccardelli, M., Perrone, D., Francia, E., Milc, J. and Pecchioni, N. 2019. Carbon footprint and energetic analysis of tomato production in the organic vs the conventional cropping systems in Southern Italy. Journal of Cleaner Production, 220: 836-845. [DOI:10.1016/j.jclepro.2019.02.111]
34. Sabokkhiz, M., Malekzadeh Shafaroudi, S. and Mirshamsi Kakhki, A. 2015. Study on seed germination of two tomato purified cultivars under salinity stress. Iranian Journal of Field Crops Research, 12(4): 834-840. [In Persian with English Summary].
35. Salehi Sardoei, A. 2019. Effect of allelopathy nut grass (Cyperus rotundus) weed on germination of tomato (Solanum lycopersicum) seed cultivars. Journal of Seed Research, 9(4): 31-40. [In Persian with English Summary].
36. SAS Institute. 2012. SAS/OR 9.3 User's Guide: Mathematical Programming Examples. SAS institute.
37. Shafii, B. and Barney, D.L. 2001. Drying and cold storage affect germination of black huckleberry seeds. HortScience, 36(1): 145-147. [DOI:10.21273/HORTSCI.36.1.145]
38. 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]
39. Soltani, A. 2007. Application of SAS in Statistical Analysis. Jahad-e-Daneshgahi Mashhad Press (2th ed.). 182p. [In Persian].
40. Soltani, A., Robertson, M.J., Torabi, B., Yousefi-Daz, M. and Sarparast, R. 2006. Modelling seedling emergence in chickpea as influenced by temperature and sowing depth. Agricultural and Forest Meteorology, 138(1-4): 156-167. [DOI:10.1016/j.agrformet.2006.04.004]
41. Soltani, E., Soltani, A. and Oveisi, M. 2014. Modelling seed aging effect on wheat seedling emergence in drought stress: optimizing germin program to predict emergence pattern. Journal of Crop Improvement, 15(2): 147-160. [In Persian with English Summary].
42. Sousaraei, N., Torabi, B., Mashaiekhi, K., Soltani, E. and Mousavizadeh, S. J. 2021. Variation of seed germination response to temperature in tomato landraces: An adaptation strategy to environmental conditions. Scientia Horticulturae, 281: 109987. [DOI:10.1016/j.scienta.2021.109987]
43. 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(1-2): 1-16. [DOI:10.1016/0168-1923(95)02236-Q]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Seed Research

Designed & Developed by : Yektaweb


This work is licensed under a Creative Commons Attribution 4.0 International License.