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Using thermal time models to predict seedling emergence of orchardgrass (Dactylis glomerata L.) under alternating temperature regimes

Published online by Cambridge University Press:  24 July 2007

Jie Qiu ,
Yuguang Bai ,
Bruce Coulman  and
J.T. Romo
Jie Qiu
Affiliation:
Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, S7N 5A8, Canada
Yuguang Bai*
Affiliation:
Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, S7N 5A8, Canada
Bruce Coulman
Affiliation:
Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, S7N 5A8, Canada
J.T. Romo
Affiliation:
Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, S7N 5A8, Canada
*
*Fax: +1 306 966 5015 Email: yuguang.bai@usask.ca
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Abstract

The effects of alternating temperatures on seed dormancy changes, germination and seedling emergence were investigated in ‘Arctic’ and ‘Lineta’ orchardgrass (Dactylis glomerata L.). Thermal time models were successfully developed for 0, 5, 10 and 15°C temperature amplitudes, using 28 constant and alternating temperature regimes. These models were then modified by linking seed germination in Petri dishes and seedling emergence in soil. A field experiment was conducted with four seeding dates over 2 years to validate the modified thermal time models. Temperature regimes with a 5–15°C amplitude enhanced seed germination percentages of orchardgrass, indicating that the conditional dormancy was released by these temperature regimes. Base temperatures decreased with increasing temperature amplitude. Seeds germinated more rapidly under alternating temperatures than under constant temperatures. The dual effects of temperature for dormancy breaking and germination were accounted for by thermal time models based on alternating temperature regimes, which accurately predicted the timing and percentage of ‘Arctic’ and ‘Lineta’ orchardgrass seedlings emerging in the field (R2≥0.88).

Keywords

alternating temperatureDactylis glomeratadormancyseed germinationthermal time model
Type
Research Analysis
Information
Seed Science Research , Volume 16 , Issue 4 , December 2006 , pp. 261 - 271
Copyright
Copyright © Cambridge University Press 2006

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References

Bauer, M.C., Meyer, S.E. and Allen, P.S. (1998) Simulation model to predict seed dormancy loss in the field for Bromus tectorum L. Journal of Experimental Botany 49, 1235–1244.Google Scholar
Benech Arnold, R.L., Ghersa, C.M., Sanchez, R.A. and Garcia-Fernandez, A.E. (1988) The role of fluctuating temperatures in the germination and establishment of Sorghum halepense (L.) Pers.: Regulation of germination under leaf canopies. Functional Ecology 2, 311–318.CrossRefGoogle Scholar
Benech-Arnold, R.L., Sanchez, R.A., Forcella, F., Kruk, B.C. and Ghersa, C.M. (2000) Environmental control of dormancy in weed seed banks in soil. Field Crops Research 67, 105–122.CrossRefGoogle Scholar
Bouwmeester, H.J. and Karssen, C.M. (1992) The dual roles of temperature in the regulation of the seasonal changes in dormancy and germination of seeds of Polygonum persicaria L. Oecologia 90, 88–94.CrossRefGoogle ScholarPubMed
Bradford, K.J. (2005) Threshold models applied to seed germination ecology New Phytologist 165, 338–341.CrossRefGoogle ScholarPubMed
Coble, D.W. (2004) Nonlinear least squares regression. Web site: http://www.faculty.sfasu.edu/f_cobledw/Regression/Lecture13/Lecture13.PDF (accessed 10 03 2004).Google Scholar
Dahal, P., Bradford, K.J. and Jones, R.A. (1990) Effects of priming and endosperm integrity on seed germination rates of tomato genotypes. I. Germination at suboptimal temperatures. Journal of Experimental Botany 41, 1431–1439.CrossRefGoogle Scholar
del Monte, J.P. and Tarquis, A.M. (1997) The role of temperature in the seed germination of two species of the Solanum nigrum complex. Journal of Experimental Botany 48, 2087–2093.CrossRefGoogle Scholar
Ellis, R.H. and Butcher, P.D. (1988) The effects of priming and ‘natural’ differences in quality amongst onion seed lots on the response of the rate of germination to temperature and the identification of the characteristics under genotypic control. Journal of Experimental Botany 39, 935–950.CrossRefGoogle Scholar
Ellis, R.H., Covell, S., Roberts, E.H. and Summerfield, R.J. (1986) The influence of temperature on seed germination rate in grain legumes. II. Intraspecific variation in chickpea at constant temperatures. Journal of Experimental Botany 37, 1503–1515.CrossRefGoogle Scholar
Finch-Savage, W.E. and Phelps, K. (1993) Onion ( Allium cepa L.) seed emergence patterns can be explained by the influence of soil temperature and water potential on seed germination. Journal of Experimental Botany 44, 407–414.CrossRefGoogle Scholar
Finch-Savage, W.E., Steckel, J.R.A. and Phelps, K. (1998) Germination and post-germination growth to carrot seedling emergence: Predictive threshold models and sources of variation between sowing occasions. New Phytologist 139, 505–516.CrossRefGoogle Scholar
Garcia-Huidobro, J., Monteith, J.L. and Squire, G.R. (1982a) Time, temperature and germination of pearl millet (Pennisetum typhoides S. & H.). I. Constant temperature. Journal of Experimental Botany 33, 288–296.CrossRefGoogle Scholar
Garcia-Huidobro, J., Monteith, J.L. and Squire, G.R. (1982b) Time, temperature and germination of pearl millet (Pennisetum typhoides S. & H.). II. Alternating temperature. Journal of Experimental Botany 33, 297–302.CrossRefGoogle Scholar
Grundy, A.C., Phelps, K., Reader, R.J. and Burston, S. (2000b) Modeling the germination of Stellaria media using the concept of hydrothermal time. New Phytologist 148, 433–444.CrossRefGoogle ScholarPubMed
Hardegree, S.P., Jones, T.A. and Van-Vactor, S.S. (2002) Variability in thermal response of primed and non-primed seeds of squirreltail [Elymus elymoides (Raf.) Swezey and Elymus multisetus (J.G. Smith) M.E. Jones] Annals of Botany 89, 311–319.CrossRefGoogle ScholarPubMed
Kebreab, E. and Murdoch, A. (1999a) A quantitative model for loss of primary dormancy and induction of secondary dormancy in imbibed seeds of Orobanche spp. Journal of Experimental Botany 50, 211–219.CrossRefGoogle Scholar
Kebreab, E. and Murdoch, A.J. (1999b) A model of the effects of a wide range of constant and alternating temperatures on seed germination of four Orobanche species. Annals of Botany 84, 549–557.CrossRefGoogle Scholar
Lee, Y.-J. (2002) Estimation of height growth patterns and site index curves for Japanese red cedar (Cryptomeria japonica D. Don) stands planted in southern regions and Korea. Korean Journal of Ecology 25, 29–31.CrossRefGoogle Scholar
Marquardt, D.W. (1963) An algorithm for least squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics 11, 431–441.CrossRefGoogle Scholar
McMaster, G.S., Wilhelm, W.W. and Morgan, J.A. (1992) Simulating winter wheat shoot apex phenology. Journal of Agricultural Science 119, 1–12.CrossRefGoogle Scholar
Murdoch, A.J., Roberts, E.H. and Geoedert, C.O. (1989) A model for germination responses to alternating temperatures. Annals of Botany 63, 97–111.CrossRefGoogle Scholar
Oryokot, J.O.E., Hunt, L.A., Murphy, S. and Swanton, C.J. (1997) Simulation of pigweed (Amaranthus spp.) seedling emergence in different tillage systems. Weed Science 45, 684–690.CrossRefGoogle Scholar
Pannangpetch, K. and Bean, E.W. (1984) Effects of temperature on germination in populations of Dactylis glomerata from NW Spain and central Italy. Annals of Botany 53, 633–639.CrossRefGoogle Scholar
Payandeh, B. and Wang, Y.H. (1994) Relative accuracy of a new base-age invariant site index model. Forest Science 40, 341–348.Google Scholar
Pritchard, H.W., Tompsett, P.B. and Manger, K.R. (1996) Development of a thermal time model for the quantification of dormancy loss in Aesculus hippocastanum seeds. Seed Science Research 6, 127–135.CrossRefGoogle Scholar
Pritchard, H.W., Steadman, K.J., Nash, J.V. and Jones, C. (1999) Kinetics of dormancy release and the high temperature germination response in Aesculus hippocastanum seeds. Journal of Experimental Botany 50, 1507–1514.CrossRefGoogle Scholar
Probert, R.J., Smith, R.D. and Birch, P. (1985a) Germination response to light and alternating temperatures in European populations of Dactylis glomerata L. IV. The effects of storage. New Phytologist 101, 521–529.CrossRefGoogle ScholarPubMed
Probert, R.J., Smith, R.D. and Birch, P. (1985b) Germination response to light and alternating temperatures in European populations of Dactylis glomerata L.V. The principle components of the alternating temperature requirement New Phytologist 102, 133–142.CrossRefGoogle Scholar
Richards, F.J. (1959) A flexible growth function for empirical use. Journal of Experimental Botany 10, 290–300.CrossRefGoogle Scholar
Roberts, E.H. and Totterdell, S. (1981) Seed dormancy in Rumex species in response to environmental factors. Plant, Cell and Environment 4, 97–106.CrossRefGoogle Scholar
Schabenberger, O. and Pierce, F.J. (2002) Contemporary statistical models for the plant and soil sciences. New York, CRC Press.Google Scholar
Schutz, W. (2000) Ecology of seed dormancy and germination in sedges (Carex). Perspectives in Plant Ecology, Evolution and Systematics 3, 67–89.CrossRefGoogle Scholar
Steadman, K.J. (2004) Dormancy release during hydrated storage in Lolium rigidum seeds is dependent on temperature, light quality and hydration status. Journal of Experimental Botany 55, 929–937.CrossRefGoogle ScholarPubMed
Steadman, K.J. and Pritchard, H.W. (2004) Germination of Aesculus hippocastanum seeds following cold-induced dormancy loss can be described in relation to a temperature-dependent reduction in base temperature (Tb) and thermal time. New Phytologist 161, 415–425.CrossRefGoogle ScholarPubMed
Steinmaus, S.J., Prather, T.S. and Holt, J.S. (2000) Estimation of base temperatures for nine weed species. Journal of Experimental Botany 51, 275–286.CrossRefGoogle ScholarPubMed
Vleeshouwers, L.M. and Kropff, M.J. (2000) Modeling field emergence patterns in arable weeds. New Phytologist 148, 445–457.CrossRefGoogle ScholarPubMed
Wang, R., Bai, Y. and Tanino, K. (2004) Effect of seed size and sub-zero imbibition-temperature on the thermal time model of winterfat (Eurotia lanata (Pursh) Moq.). Environmental and Experimental Botany 51, 183–197.CrossRefGoogle Scholar
Welbaum, G.E. and Bradford, K.J. (1991) Water relations of seed development and germination in muskmelon (Cucumis melo L.). 7. Influence of after-ripening and aging on germination responses to temperature and water potential. Journal of Experimental Botany 42, 1137–1145.CrossRefGoogle Scholar