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Estimation of base and optimum temperatures for seed germination in common crupina (Crupina vulgaris)

Published online by Cambridge University Press:  12 June 2017

Donald C. Thill
Affiliation:
Department of Plant, Soil, and Entomological Sciences, University of Idaho, Moscow, ID 83844
Bahman Shafii
Affiliation:
College of Agriculture, University of Idaho, Moscow, ID 83844

Abstract

Thermal time models for predicting phenological development require an estimate of base temperature, an attribute not previously defined for common crupina, a Mediterranean winter annual introduced in western North America. The stage of seed germination was selected for estimating base temperature, because facilities were available for experiments over a range of constant temperatures and base temperature is relatively constant throughout the life cycle in other species. Achenes from three populations of common crupina, including two varieties, typica and brachypappa, were produced under uniform conditions. Cumulative germination was recorded at 12 h intervals for achenes in darkness and optimum moisture at 23 constant temperatures from 4 to 17 C. The time course of germination was best described by a logistic growth curve from which time to 50% germination was estimated. A parabolic model provided the best fit in a regression of germination rate (reciprocal of time to 50%) against the temperature gradient, yielding base and optimum temperatures of 1 and 10.5 C, respectively. Bootstrap confidence intervals indicated no significant difference in base and optimum temperatures in germination between the two varieties nor between two populations of var. typica of common crupina introduced in the northwestern United States.

Type
Weed Biology and Ecology
Copyright
Copyright © 1997 by the Weed Science Society of America 

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Footnotes

Current address: P.O. Box 897, Asotin, WA 99402; croche@clarkston.com

References

Literature Cited

Angus, J. F., Mackenzie, D. H., Morton, R., and Schafer, C. A. 1981. Phasic development in field crops. II. Thermal and photoperiodic responses of spring wheat. Field Crops Res. 4: 269283.CrossRefGoogle Scholar
Atherton, J. G., Craigon, J., and Basher, E. A. 1990. Flowering and bolting in carrot. I. Juvenility, cardinal temperatures and thermal times for vernalization. J. Hortic. Sci. 65: 423429.Google Scholar
Brown, R. F. and Mayer, D. G. 1988. Representing cumulative germination. 2. The use of the Weibull and other empirically derived curves. Ann. Bot. 61: 127138.CrossRefGoogle Scholar
Couderc-LeVaillant, M. and Roché, C. T. 1993. Evidence of multiple introductions of Crupina vulgaris in infestations in the western United States. Madroño 40: 6365.Google Scholar
Covell, S., Ellis, R. H., Roberts, E. H., and Summerfield, R. J. 1986. The influence of temperature on seed germination rate in grain legumes. I. A comparison of chickpea, lentil, soyabean and cowpea at constant temperatures. J. Exp. Bot. 37: 705715.Google Scholar
Dumur, D., Pilbeam, C. J., and Craigon, J. 1990. Use of the Weibull function to calculate cardinal temperatures in faba bean. J. Exp. Bot. 41: 14231430.Google Scholar
Efron, B. and Tibshirani, R. J. 1993. Confidence intervals based on bootstrap percentiles. in An Introduction to the Bootstrap. New York: Chapman Hall, pp. 168177.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 (Cicer arietinum L.) at constant temperatures. J. Exp. Bot. 37: 15031515.Google Scholar
Ellis, R. H., Simon, G., and Covell, S. 1987. The influence of temperature on seed germination rate in grain legumes. I. A comparison of five faba bean genotypes at constant temperatures using a new screening method. J. Exp. Bot. 38: 10331043.Google Scholar
García-Huidobro, J., Monteith, J. L., and Squire, G. R. 1982. Time, temperature and germination of pearl millet. I. Constant Temperature. J. Exp. Bot. 33: 288–96.Google Scholar
Hay, R.K.M. and Kirby, E.J.M. 1991. Convergence and synchrony—a review of the coordination of development in wheat. Aust. J. Agric. Res. 42: 661700.CrossRefGoogle Scholar
Huyghe, C. 1991. Winter growth of autumn-sown white lupin (Lupinus albus L.): main apex growth model. Ann. Bot. 67: 429434.Google Scholar
Klepper, B., Rickman, R. W., and Peterson, C. M. 1982. Quantitative characterization of vegetative development in small cereal grains. Agron. J. 74: 789792.Google Scholar
Masle, J., Doussinault, G., and Sun, B. 1989. Response of wheat genotypes to temperature and photoperiod in natural conditions. Crop Sci. 29: 712721.Google Scholar
Monteith, J. L. 1981. Climatic variation and the growth of crops. Q. J. Royal Meteorol. Soc. 107: 749774.CrossRefGoogle Scholar
Morrison, M. J., McVetty, P.B.E., and Shaykewich, C. F. 1989. The determination and verification of a baseline temperature for the growth of Westar summer rape. Can. J. Plant Sci. 69: 455464.Google Scholar
Patterson, D. T. and Mortensen, D. A. 1985. Effects of temperature and photoperiod on common crupina (Crupina vulgaris). Weed Sci. 33: 333339.Google Scholar
Roberts, E. H. and Summerfield, R. J. 1987. Measurement and prediction of flowering in annual crops. in Atherton, J. G., ed. Manipulation of Flowering. London: Butterworths, pp. 1750.CrossRefGoogle Scholar
Roché, C. T. 1996. Developmental biology in common crupina (Crupina vulgaris Pers.) and yellow starthistle (Centaurea solstitialis L.). , University of Idaho, Moscow, ID. 125 p.Google Scholar
Roché, C. T., Shafii, B., Thill, D. C., and Price, W. J. 1997. Estimation of cardinal temperatures in germination analysis. in Proceedings of the 1996 Kansas State University Conference on Applied Statistics in Agriculture. Manhattan, KS: Kansas State University, pp. 3346.Google Scholar
[SAS] Statistical Analysis Systems. 1989. SAS/STAT® User's Guide, Version 6, 4th ed. Volume 2. Cary, NC: Statistical Analysis Systems Institute. 846 p.Google Scholar
Shafii, B., Price, W. J., Swensen, J. B., and Murray, G. A. 1991. Nonlinear estimation of growth curve models for germination data analysis. in Proceedings of the 1991 Kansas State University Conference on Applied Statistics in Agriculture. Manhattan, KS: Kansas State University, pp. 1936.Google Scholar
Slafer, G. A. and Rawson, H. M. 1994. Sensitivity of wheat phasic development to major environmental factors: a re-examination of some assumptions made by physiologists and modellers. Aust. J. Plant Physiol. 21: 393426.Google Scholar
Slafer, G. A. and Savin, R. 1991. Developmental base temperature in different phenological phases of wheat (Triticum aestivum). J. Exp. Bot. 42: 10771082.CrossRefGoogle Scholar
Summerfield, R. J., Ellis, R. H., Roberts, E. H., and Qi, A. 1991. Measurement, prediction and genetic characterization of flowering in Vicia faba and Pisum sativum . Aspects Appl. Biol. 27: 253261.Google Scholar
Wagenvoort, W. A. and Bierhuizen, J. F. 1977. Some aspects of seed germination in vegetables and minimum temperature for germination Sci. Hortic. 6: 259270.Google Scholar
Washitani, I. and Saeki, T. 1986. Germination responses of Pinus densiflora seeds to temperature, light and interrupted imbibition. J. Exp. Bot. 37: 13761387.Google Scholar
Zamora, D. L., Thill, D. C., and Eplee, R. E. 1989. Eradication Manual for Common Crupina (Crupina vulgaris Cass.). Moscow, ID: University of Idaho Bulletin No. 701. 10 p.Google Scholar