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Germination Patterns in Naturally Chilled and Nonchilled Seeds of Fierce Thornapple (Datura Ferox) and Velvetleaf (Abutilon Theophrasti)

  • José Dorado (a1), César Fernández-Quintanilla (a1) and Andrea C. Grundy (a2)


Seeds from natural populations of fierce thornapple and velvetleaf collected in a corn-growing area in central Spain were incubated at a range of constant temperatures and water potentials to model the progress of germination on the basis of the accumulation of hydrothermal time. Previous to the germination tests, the seeds were treated in two different ways: (1) dark storage under dry conditions (nonchilled seeds), and (2) burying in the original soil at 10-cm depth during 2 mo in winter (naturally chilled seeds). The results indicated different mechanisms inhibiting germination in both weed species. Whereas fierce thornapple displayed some type of embryo dormancy, the lack of germination in velvetleaf appeared to be entirely due to the seed coat. On the other hand, significant differences between nonchilled and naturally chilled seeds in fierce thornapple were observed, mainly due to the decrease in the mean base water potential of the 50th percentile in the latter, which indicated a loss of dormancy by exposure of the seeds to natural conditions. Hydrothermal time appears to be a good description of the germination patterns in both weed species, but in the case of fierce thornapple, only for naturally chilled seeds. Thus, the development of the hydrothermal model in fierce thornapple raises some questions for consideration concerning the influence of the type of seeds (conditions of storage, pretreatments of the seeds before germination tests) on its germination capacity.


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Allen, P. S. and Meyer, S. E. 2002. Ecology and ecological genetics of seed dormancy in downy brome. Weed Sci. 50:241247.
Alvarado, V. and Bradford, K. J. 2002. A hydrothermal time model explains the cardinal temperatures for seed germination. Plant Cell Environ. 25:10611069.
Alvarado, V. and Bradford, K. J. 2005. Hydrothermal time analysis of seed dormancy in true (botanical) potato seeds. Seed Sci. Res. 15:7788.
Bair, N. B., Meyer, S. E., and Allen, P. S. 2006. A hydrothermal after-ripening time model for seed dormancy loss in Bromus tectorum L. Seed Sci. Res. 16:1728.
Ballaré, C. L., Scopel, A. L., Ghersa, C. M., and Sánchez, R. A. 1987. The demography of Datura ferox (L.) in soybean crops. Weed Res. 27:91102.
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. J. Exp. Bot. 49:12351244.
Botto, J. F., Sánchez, R. A., and Casal, J. J. 1998. Burial conditions affect light responses of Datura ferox seeds. Seed Sci. Res. 8:423429.
Bradford, K. J. 1990. A water relations analysis of seed-germination rates. Plant Physiol. 94:840849.
Bradford, K. J. 1995. Water relations in seed germination. Pages 351396. in Kigel, J. and Galili, G. Seed Development and Germination. New York Marcel Dekker.
Bradford, K. J. 1996. Population-based models describing seed dormancy behaviour: Implications for experimental design and interpretation. Pages 313339. in Lang, G. A. Plant Dormancy: Physiology, Biochemistry and Molecular Biology. Wallingford, UK CAB International.
Bradford, K. J. 2002. Applications of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci. 50:248260.
Bradford, K. J. and Haigh, A. M. 1994. Relationship between accumulated hydrothermal time during seed priming and subsequent seed germination rates. Seed Sci. Res. 4:6369.
Bradford, K. J. and Somasco, O. A. 1994. Water relations of lettuce seed thermoinhibition. I. Priming and endosperm effects on base water potential. Seed Sci. Res. 4:110.
Christensen, M., Meyer, S. E., and Allen, P. S. 1996. A hydrothermal time model of seed after-ripening in Bromus tectorum L. Seed Sci. Res. 6:155163.
Dahal, P. and Bradford, K. J. 1994. Hydrothermal time analysis of tomato seed germination at suboptimal temperature and reduced water potential. Seed Sci. Res. 4:7180.
Debaene-Gill, S. B., Allen, P. S., and White, D. B. 1994. Dehydration of germinating perennial ryegrass seeds can alter rate of subsequent radicle emergence. J. Exp. Bot. 45:13011307.
de Miguel, L., Burgin, M. J., Casal, J. J., and Sánchez, R. A. 2000. Antagonistic action of low-fluence and high-irradiance modes of response of phytochrome on germination and beta-mannanase activity in Datura ferox seeds. J. Exp. Bot. 51:11271133.
Dorado, J., Sousa, E., Calha, I. M., González-Andújar, J. L., and Fernández-Quintanilla, C. 2009. Predicting weed emergence in maize crops under two contrasting climatic conditions. Weed Res. In press.
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 Phytol. 139:505516.
Grundy, A. C. 2003. Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43:111.
Grundy, A. C., Phelps, K., Reader, R. J., and Burston, S. 2000. Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytol. 148:433444.
Gummerson, R. J. 1986. The effect of constant temperatures and osmotic potential on the germination of sugar beet. J. Exp. Bot. 37:729741.
Hardegree, S. P. and Emmerich, W. E. 1990. Effect of polyethylene glycol exclusion on the water potential of solution-saturated filter paper. Plant Physiol. 92:462466.
Kebreab, E. and Murdoch, A. J. 1999. Modelling the effects of water stress and temperature on germination rate of Orobanche aegyptiaca seeds. J. Exp. Bot. 50:655664.
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 Sci. Res. 10:213223.
Ni, B. R. and Bradford, K. J. 1993. Germination and dormancy of abscisic acid- and gibberellin-deficient mutant tomato seeds. Sensitivity of germination to abscisic acid, gibberellin, and water potential. Plant Physiol. 101:607617.
Roman, E. S., Thomas, A. G., Murphy, S. D., and Swanton, C. J. 1999. Modeling germination and seedling elongation of common lambsquarters (Chenopodium album). Weed Sci. 47:149155.
Rowse, H. R. and Finch-Savage, W. E. 2003. Hydrothermal threshold models can describe the germination response of carrot (Daucus carota) and onion (Allium cepa) seed populations across both sub- and supra-optimal temperatures. New Phytol. 158:101108.
Rowse, H. R., Mckee, J. M. T., and Higgs, E. C. 1999. A model of the effects of water stress on seed advancement and germination. New Phytol. 143:273279.
Sánchez, R. A. and de Miguel, L. 1997. Phytochrome promotion of mannan-degrading enzyme activities in the micropylar endosperm of Datura ferox seeds requires the presence of the embryo and gibberellin synthesis. Seed Sci. Res. 7:2733.
Sánchez, R. A., de Miguel, L., Lima, C., and de Lederkremer, R. M. 2002. Effect of low water potential on phytochrome-induced germination, endosperm softening and cell-wall mannan degradation in Datura ferox seeds. Seed Sci. Res. 12:155163.
Sánchez, R. A., de Miguel, L., and Mercuri, O. 1986. Phytochrome control of cellulase activity in Datura ferox L. seeds and its relationship with germination. J. Exp. Bot. 37:15741580.
Shrestha, A., Roman, E. S., Thomas, A. G., and Swanton, C. J. 1999. Modeling germination and shoot-radicle elongation of Ambrosia artemisiifolia . Weed Sci. 47:557562.
Winter, D. M. 1960. The development of the seed of Abutilon theophrasti. II. Seed coat. Am. J. Bot. 47:157162.
Zanin, G. and Sattin, M. 1988. Threshold level and seed production of velvetleaf (Abutilon theophrasti Medicus) in maize. Weed Res. 28:347352.


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Germination Patterns in Naturally Chilled and Nonchilled Seeds of Fierce Thornapple (Datura Ferox) and Velvetleaf (Abutilon Theophrasti)

  • José Dorado (a1), César Fernández-Quintanilla (a1) and Andrea C. Grundy (a2)


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