Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-25T07:00:36.480Z Has data issue: false hasContentIssue false
  • English
  • Français

A predictive model for dormancy loss in Polygonum aviculare L. seeds based on changes in population hydrotime parameters

Published online by Cambridge University Press:  22 February 2007

Diego Batlla  and
Roberto Luis Benech-Arnold
Diego Batlla*
Affiliation:
IFEVA/Cátedra de Cerealicultura, CONICET/Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, Aires, C1417DSE-Buenos, Argentina
Roberto Luis Benech-Arnold
Affiliation:
IFEVA/Cátedra de Cerealicultura, CONICET/Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, Aires, C1417DSE-Buenos, Argentina
*
*Correspondence, Fax: +54 11?4524 8039/8053 (ext. 33) Email:, batlla@mail.agro.uba.ar
Get access Rights & Permissions [Opens in a new window]

Abstract

Changes in population hydrotime parameters were determined during stratification in Polygonum aviculare L. seeds in order to model dormancy loss. Seeds buried in pots were stored at three temperatures (1.6, 7 and 12°C) for 110 d and were exhumed at regular intervals during the storage period. Exhumed seeds were incubated at different water potentials at 15°C and germination time courses were analysed to determine hydrotime parameters. The population mean base water potential (Ψb(50)) decreased concomitantly with seed dormancy, while the hydrotime constant (θH) and the standard deviation of base water potential (θΨb) displayed only minor changes. Based on these results, a model for simulating P. aviculare seed dormancy loss in relation to low temperature was developed. The model employs Ψb(50) as an index of mean seed population dormancy status. While Ψb(50) was allowed to vary as seeds were released from dormancy, θH and θΨb were held constant. Changes in Ψb(50) were related to the time and temperature, using a previously developed thermal stratification time index (Stt), which quantifies the accumulation of thermal time units below a threshold temperature required for dormancy loss to occur. Therefore, Ψb(50) varied in relation to the accumulation of Stt according to time and temperature. Model performance showed acceptable prediction of timing and percentage of germination of seeds buried in irrigated plots, but did not accurately predict germination of seeds exhumed from rain-fed plots. Thus, environmental factors other than temperature could also be involved in the regulation of dormancy status of buried seeds under field conditions.

Keywords

dormancygerminationhydrotimePolygonum aviculare Lstratificationtemperaturewater potential
Type
Research Article
Information
Seed Science Research , Volume 14 , Issue 3 , September 2004 , pp. 277 - 286
Copyright
Copyright © Cambridge University Press 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allen, P.S., Meyer, S.E. and Khan, M.A. (2000) Hydrothermal time as a tool in comparative germination studies. pp. 401–410Black, M.;, Bradford, K.J.;, Vazques-Ramos, J. (Eds) Seed biology: Advances and applications. Wallingford, CABI Publishing.Google Scholar
Alvarado, V. and Bradford, K.J. (2002) A hydrothermal time model explains the cardinal temperatures for seed germination. Plant, Cell and Environment 25, 1061–1069CrossRefGoogle Scholar
Baskin, C.C. and Baskin, J.M. (1988) Germination ecophysiology of herbaceous plant species in a temperate region. American Journal of Botany 75, 286–305Google Scholar
Batlla, D. and Benech-Arnold, R.L. (2003) A quantitative analysis of dormancy loss dynamics in Polygonum aviculare L. seeds. Development of a thermal time model based on changes in seed population thermal parameters. Seed Science Research 13, 55–68CrossRefGoogle Scholar
Batlla, D., Verges, V. and Benech-Arnold, R.L. (2003) A quantitative analysis of seed responses to cycle-doses of fluctuating temperatures in relation to dormancy. Development of a thermal-time model for Polygonum aviculare L. seeds. Seed Science Research 13, 197–207CrossRefGoogle Scholar
Battaglia, M. (1997) Seed germination model for Eucalyptus delegatensis provenances germinating under conditions of variable temperature and water potential. Australian Journal of Plant Physiology 24, 69–79Google Scholar
Bauer, M.C., Meyer, S.E. and Allen, P.S. (1998) A simulation model to predict seed dormancy loss in the field for Bromus tectorum L. Journal of Experimental Botany 49, 1235–1244Google Scholar
Benech-Arnold, R.L., Sánchez, 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, 105–122CrossRefGoogle Scholar
Bouwmeester, H.J. (1990) The effect of environmental conditions on the seasonal dormancy pattern and germination of weed seeds. PhD thesis, Wageningen, Agricultural University.Google Scholar
Bouwmeester, H.J. and Karssen, C.M. (1992) The dual role of temperature in the regulation of the seasonal changes in dormancy and germination of seeds of Polygonum persicaria L. Oecologia 90, 88–94CrossRefGoogle ScholarPubMed
Bouwmeester, H.J. and Karssen, C.M. (1993a) Seasonal periodicity in germination of seeds of Chenopodium album L. Annals of Botany 72, 463–473CrossRefGoogle Scholar
Bouwmeester, H.J. and Karssen, C.M. (1993b) The effect of environmental conditions on the annual dormancy pattern of seeds of Spergula arvensis. Canadian Journal of Botany 71, 64–73CrossRefGoogle Scholar
Bouwmeester, H.J. and Karssen, C.M. (1993c) Annual changes in dormancy and germination in seeds of Sisymbrium officinale (L.) Scop. New Phytologist 124, 179–191CrossRefGoogle Scholar
Bradford, K.J. (1990) A water relations analysis of seed germination rates. Plant Physiology 94, 840–849CrossRefGoogle ScholarPubMed
Bradford, K.J. (1995) Water relations in seed germination. pp. 351–395Kigel, J., Galili, G. (Eds) Seed development and germination. New York, Marcel Dekker.Google Scholar
Bradford, K.J. (1996) Population-based models describing seed dormancy behaviour: Implications for experimental design and interpretation. pp. 313–339Lang, G.A. (Ed.) Plant dormancy: Physiology, biochemistry, and molecular biology. Wallingford, CAB International.Google Scholar
Bradford, K.J. (2002) Applications of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Science 50, 248–260CrossRefGoogle Scholar
Bradford, K.J. and Somasco, O.A. (1994) Water relations of lettuce seed thermoinhibition. I. Priming and endosperm effects on base water potential. Seed Science Research 4, 1–10Google Scholar
Burnham, K.P. and Anderson, D.R. (1998) Model selection and inference: A practical information-theoretic approach. New York, Springer-Verlag.Google Scholar
Christensen, M., Meyer, S.E. and Allen, P.S. (1996) A hydrothermal time model of seed after-ripening in Bromus tectorum L. Seed Science Research 6, 155–163CrossRefGoogle Scholar
Dahal, P. and Bradford, K.J. (1990) Effects of priming and endosperm integrity on seed germination rates of tomato genotypes. II. Germination at reduced water potential. Journal of Experimental Botany 41, 1441–1453CrossRefGoogle 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 temperature. Journal of Experimental Botany 41, 1431–1439CrossRefGoogle Scholar
Dahal, P., Bradford, K.J. and Haigh, A.M. (1993) The concept of hydrothermal time in seed germination and priming. pp. 1009–1014Come, D.;, Corbinbeau, F. (Eds) Fourth international workshop on seeds: Basic and applied aspects of seed biology Vol. 3, Paris, ASFIS.Google Scholar
Dutta, S. and Bradford, K.J. (1994) Water relations of lettuce seed thermoinhibition. II. Ethylene and endosperm effects on base water potential. Seed Science Research 4, 11–18Google Scholar
Egley, G. (1995) Seed germination in soil: dormancy cycles. pp. 529–543in Kigel, J.;, Galili, G. (Eds) Seed development and germination. New York, Marcel Dekker.Google Scholar
Fenner, M. (2000) Seeds: The ecology of regeneration in plant communities (2nd edition). Wallingford, CABI Publishing.CrossRefGoogle Scholar
Gummerson, R.J. (1986) The effect of constant temperatures and osmotic potentials on the germination of sugar beet. Journal of Experimental Botany 37, 729–741Google Scholar
Hegarty, T.W. (1978) The physiology of seed hydration and dehydration, and the relation between water stress and the control of germination: a review. Plant, Cell and Environment 1, 101–119Google Scholar
Kebreab, E., Murdoch, A. J. (1999) A quantitative model for loss of primary dormancy and induction of secondary dormancy in imbibed seeds of Orobanche spp. Journal of Experimental Botany 50, 211–219Google Scholar
Kruk, B.C. and Benech-Arnold, R.L. (1998) Functional and quantitative analysis of seed thermal responses in prostrate knotweed (Polygonum aviculare) and common purslane (Portulaca oleracea). Weed Science 46, 83–90Google Scholar
Meyer, S.E., Debaene-Gill, S.B. and Allen, P.S. (2000) Using hydrothermal time concepts to model seed germination response to temperature, dormancy loss and priming effects in Elymus elymoides. Seed Science Research 10, 213–223CrossRefGoogle Scholar
Michel, B.E. (1983) Evaluation of the water potentials of solutions of polyethylene glycol 8000 both in the absence and presence of other solutes. Plant Physiology 72, 66–70CrossRefGoogle ScholarPubMed
Ni, B.R. and Bradford, K.J. (1992) Quantitative models characterizing seed germination responses to abscisic acid and osmoticum. Plant Physiology 98, 1057–1068Google Scholar
Ni, B.R. and Bradford, K.J. (1993) Germination and dormancy of abscisic acid- and gibberellin-deficient mutant tomato (Lycopersicon esculentum) seeds. Sensitivity of germination to abscisic acid, gibberellin and water potential. Plant Physiology 101, 607–617CrossRefGoogle ScholarPubMed
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, 127–135CrossRefGoogle Scholar
Spitters, C.J.T. (1989) Weeds: population dynamics, germination and competition. pp. 182–216Rabbinge, R., Ward, S.A., van Laar, H.H. (Eds) Simulation and systems management in crop protection. Wageningen, Pudoc.Google Scholar
Vegis, A. (1964) Dormancy in higher plants. Annual Review of Plant Physiology 15, 185–224CrossRefGoogle Scholar