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Thermal regulation of secondary dormancy induction in Polygonum aviculare seeds: a quantitative analysis using the hydrotime model

Published online by Cambridge University Press:  19 June 2017

Diego Batlla*
Affiliation:
I.F.E.V.A./Cátedra de Cerealicultura, C.O.N.I.C.E.T./Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE-Buenos Aires, Argentina
Andrés Mateo Agostinelli
Affiliation:
I.F.E.V.A./Cátedra de Cerealicultura, C.O.N.I.C.E.T./Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453, C1417DSE-Buenos Aires, Argentina
*
*Correspondence Email: [email protected]

Abstract

For seed banks showing seasonal changes in their dormancy level, the possibility of predicting temporal patterns of emergence depends on establishing a robust relationship between temperature and the rate of dormancy loss and induction. However, although the effect of temperature on dormancy loss has been extensively studied, less work has been advocated to the quantification of temperature effects on dormancy induction. In the present work, we quantified temperature regulation of dormancy induction in Polygonum aviculare seeds using the hydrotime model. To study induction into secondary dormancy, seeds previously released from primary dormancy through stratification at 5°C were stored at dormancy-inductive temperatures of 10, 15, 20 and 25°C for different periods. During storage, seeds were germinated at different temperatures and water potentials, and hydrotime model parameters were derived. Changes in hydrotime model parameters (mean base water potential for germination and its standard deviation, and the hydrotime required for germination) during dormancy induction were described by adjusting exponential equations. Obtained results indicated a minimum temperature for dormancy induction of 8.7°C and the existence of a bi-linear relationship between rate of induction into secondary dormancy and storage temperature, in which storage temperatures around 25°C showed a higher dormancy induction rate than those below 20°C. Developed model equations were then used to predict changes in germination behaviour during dormancy induction at different temperatures, showing a good agreement between simulated and observed values.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2017 

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References

Allen, P.S., Benech-Arnold, R.L., Batlla, D. and Bradford, K.J. (2007) Modelling of seed dormancy, pp. 72112 in Bradford, K. and Nonogaki, H. (eds), Annual Plant Reviews Volume 27: Seed Development, Dormancy and Germination. Oxford: Blackwell Publishing Ltd.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, 10611069.CrossRefGoogle Scholar
Alvarado, V. and Bradford, K.J. (2005) Hydrothermal time analysis of seed dormancy in true (botanical) potato seeds. Seed Science Research 15, 7788.Google Scholar
Baskin, J.M. and Baskin, C.C. (1990) The role of light and alternating temperatures on germination of Polygonum aviculare seeds exhumed on various dates. Weed Research 30, 397402.Google 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, 5568.Google Scholar
Batlla, D. and Benech-Arnold, R.L. (2004) A predictive model for dormancy loss in Polygonum aviculare L. seeds based on changes in population hydrotime parameters. Seed Science Research 14, 277286.Google Scholar
Batlla, D. and Benech-Arnold, R.L. (2005) Changes in light sensitivity of Polygonum aviculare L. buried seeds in relation to cold-induced dormancy loss. Development of a predictive model. New Phytologist 165, 445452.Google Scholar
Batlla, D. and Benech-Arnold, R.L. (2010) Predicting changes in dormancy level in natural seed soil banks. Plant Molecular Biology 73, 313.Google Scholar
Batlla, D. and Benech-Arnold, R.L. (2015) A framework for the interpretation of temperature effects on dormancy and germination in seed populations showing dormancy. Seed Science Research 25, 147158.Google 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 level. Development of a thermal-time model for Polygonum aviculare L. seeds. Seed Science Research 13, 197207.Google Scholar
Batlla, D., Nicoletta, M. and Benech-Arnold, R. (2007) Sensitivity of Polygonum aviculare seeds to light as affected by soil moisture conditions. Annals of Botany 99, 915924.Google Scholar
Batlla, D., Grundy, A., Dent, K.C., Clay, H.A. and Finch-Savage, W.E. (2009) A quantitative analysis of temperature-dependent dormancy changes in Polygonum aviculare seeds. Weed Research 49, 428438.Google 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, 12351244.Google 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, 105122.Google Scholar
Bradford, K.J. (1990) A water relations analysis of seed germination rates. Plant Physiology 94, 840849.Google Scholar
Bradford, K.J. (1995) Water relations in seed germination, pp. 351395 in Kigel, J. and 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. 313339 in Lang, 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, 248260.Google Scholar
Courtney, A.D. (1968). Seed dormancy and field emergence in Polygonum aviculare . Journal of Applied Ecology 5, 675684.CrossRefGoogle Scholar
Finch-Savage, W.E. and Footitt, S. (2017) Seed dormancy cycling and the regulation of dormancy mechanisms to time germination in variable field environments. Journal of Experimental Botany 68, 843.Google Scholar
Gianinetti, A. and Cohn, M.A. (2007) Seed dormancy in red rice. XII: Population-based analysis of dry-afterripening with a hydrotime model. Seed Science Research 17, 253272.Google Scholar
Gummerson, R.J. (1986) The effect of constant temperatures and osmotic potentials on the germination of sugar beet. Journal of Experimental Botany 37, 729741.Google Scholar
Hawkins, K.K., Allen, P.S. and Meyer, S.E. (2017) Secondary dormancy induction and release in Bromus tectorum seeds: the role of temperature, water potential and hydrothermal time. Seed Science Research 27, 114.Google 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, 8390.Google Scholar
Malavert, C., Batlla, D. and Benech-Arnold, R.L. (2017) Temperature-dependent regulation of induction into secondary dormancy of Polygonum aviculare L. seeds: A quantitative analysis. Ecological Modelling 352, 128138.Google 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, 213223.Google 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, 6670.CrossRefGoogle ScholarPubMed
Ni, B.R. and Bradford, K.J. (1992) Quantitative models characterizing seed germination responses to abscisic acid and osmoticum. Plant Physiology 9, 10571068.CrossRefGoogle Scholar
Vegis, A. (1964) Dormancy in higher plants. Annual Review of Plant Physiology 15, 185224.Google Scholar
Vleeshouwers, L.M. and Bouwmeester, H.J. (2001) A simulation model for seasonal changes in dormancy and germination of weed seeds. Seed Science Research 11, 7792.Google Scholar
Vleeshouwers, L.M., Bouwmeester, H.J. and Karssen, C.M. (1995) Redefining seed dormancy: an attempt to integrate physiology and ecology. Journal of Ecology 83, 10311037.Google Scholar
Windauer, L.B., Martinez, J., Rapoport, D., Wassner, D. and Benech-Arnold, R. (2012) Germination responses to temperature and water potential in Jatropha curcas seeds: a hydrotime model explains the difference between dormancy expression and dormancy induction at different incubation temperatures. Annals of Botany 109, 265273.Google Scholar
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