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Effects of seed production and storage conditions on blackgrass (Alopecurus myosuroides) germination and shoot elongation

Published online by Cambridge University Press:  20 January 2017

Carolyne Dürr
Affiliation:
INRA, Unité d'Agronomie, rue Fernand Christ, 02007 Laon Cedex, France

Abstract

Blackgrass is a common winter annual grass weed in autumn-sown crop rotations in Atlantic European countries. Control with a minimum amount of herbicides in integrated cropping systems would be facilitated by modeling the effect of cropping systems on its demography. To develop the submodel relating weed seed bank to emerged seedlings, laboratory experiments were conducted to analyze and quantify seed germination and shoot elongation. These processes were studied as a function of environmental conditions during seed production (nitrogen availability, water deficit, plant density, and crop) and of seed characteristics (seed weight, harvest date, storage length, and dry-stored/soil-buried). Nonlinear equations relating germination and shoot elongation to time calculated as cumulated degree-days were fitted to the observed germination and shoot elongation data. These were used to estimate parameters for germination proportion and rate, as well as final shoot length and elongation rate. Recently harvested seeds germinated best and fastest when they were collected in spring crops compared with winter crops. Germination proportion and rate increased with seed storage length, especially for seeds collected in winter crops. Midgermination time decreased with seed weight and water deficit during seed production; it increased with nitrogen amounts available to the mother plants. Maximum shoot length increased with seed weight and plant density during seed production. It decreased with nitrogen availability to mother plants and with storage length, irrespective of whether the seeds were dry-stored or buried in soil. Elongation rate was highest for early- and fast-germinating seeds. Time to midelongation increased with maximum shoot length. These germination and preemergence growth models can now be combined with other submodels to develop a blackgrass emergence model.

Type
Weed Biology
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Allen, P. S. and Meyer, S. E. 1998. Ecological aspects of seed dormancy loss. Seed Sci. Res 8:183191.CrossRefGoogle Scholar
Barralis, G. 1965. Premières Observations en Serre et au Laboratoire sur la Biologie du Vulpin des Champs (Alopecurus agrestis L.). 2e Colloque sur la Biologie des Mauvaises Herbes. Grignon, France: ENSA Grignon. Pp. 110.Google Scholar
Barralis, G. 1970. La biologie du vulpin des champs (Alopecurus agrestis L.). I. Dormance primaire et faculté germinative. Rev. Gen. Bot 77:429433.Google Scholar
Boiffin, J., Dubrulle, P., Dürr, C., and Richard, G. 1994. Modelling sugarbeet seedling emergence and early growth. Pages 11431178 in Proceedings of the 13th International Conference “Soil Tillage for Crop Production and Protection of the Environment”. Aalborg, Denmark: International Soil Tillage Research Organization.Google Scholar
Bouaziz, A. and Bruckler, L. 1989. Modeling wheat seedling growth and emergence. I. Seedling growth affected by soil water potential. Soil Sci. Soc. Am. J 53:18321838.CrossRefGoogle Scholar
Brisson, N., Mary, B., and Richpoche, D. et al. 1998. STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parametrization applied to wheat and corn. Agronomie 18:311346.CrossRefGoogle Scholar
Chanzy, A. and Bruckler, L. 1993. Significance of soil moisture with respect to daily soil evaporation. Water Resour. Res 29:11131125.CrossRefGoogle Scholar
Chauvel, B., Angonin, C., and Colbach, N. 1996. Blackgrass (Alopecurus myosuroides Huds.) development and seed production in wheat. Pages 528529 in van Ittersum, M. K., Venner, G.E.G.T., van de Geijn, S. C., and Jetten, T. H. eds. Book of Abstracts of the 4th ESA Congress. Veldhoven-Wageningen, The Netherlands: Veldhoven-Wageningen.Google Scholar
Chauvel, B., Guillemin, J. P., Colbach, N., and Gasquez, J. 2001. Evaluation of cropping systems for management of herbicide-resistant populations of blackgrass (Alopecurus myosuroides Huds). Crop Prot 20:127137.CrossRefGoogle Scholar
Colbach, N., Chauvel, B., Dürr, C., and Richard, G. 2002a. Effect of environmental conditions on Alopecurus myosuroides germination. I. Effect of temperature and light. Weed Res 42:210221.CrossRefGoogle Scholar
Colbach, N., Chauvel, B., Dürr, C., and Richard, G. 2002b. Effect of environmental conditions on Alopecurus myosuroides Huds. germination. II. Effect of moisture conditions and storage length. Weed Res 42:222230.CrossRefGoogle Scholar
Colbach, N. and Debaeke, Ph. 1998. Integrating crop management and crop rotation effects into models of weed population dynamics: a review. Weed Sci 46:717728.CrossRefGoogle Scholar
Colbach, N., Roger-Estrade, J., Chauvel, B., and Caneill, J. 2000. Modeling vertical and lateral seed bank movements during mouldboard ploughing. Eur. J. Agron 13:111124.CrossRefGoogle Scholar
Cousens, R. and Moss, S. R. 1990. A model of the effects of cultivation on the vertical distribution of weed seeds within the soil. Weed Res 30:6170.CrossRefGoogle Scholar
Fawcett, R. S. and Slife, F. W. 1978. Effects of field applications of nitrate on weed seed germination and dormancy. Weed Sci 26:594596.CrossRefGoogle Scholar
Froud-Williams, R. J. 1981. Germination behaviour of Bromus species and Alopecurus myosuroides . Pages 3140 in Grass Weeds in Cereals in the United Kingdom. Reading, Great Britain: Proceedings of the Association of Applied Biologists Conference.Google Scholar
Gasquez, J. 1998. Les graminées résistantes aux herbicides antigraminées en France. Pages 133140 in Journées Internationales sur la Lutte contre les Mauvaises Herbes. Proceedings of 17e Conférence du COLUMA; Dijon, France. Paris: ANPP.Google Scholar
Johnsson, H. 1944. Meïotic aberrations and sterility in Alopecurus myosuroides Huds. Hereditas 30:469565.CrossRefGoogle Scholar
Lonchamp, J. P., Chadoeuf, R., and Barralis, G. 1984. Evolution de la capacité de germination des semences de mauvaises herbes dans le sol. Agronomie 4:671682.CrossRefGoogle Scholar
Menck, B. H. 1968. Biologie des Ackerfuchsschwanzes (Alopecurus myosuroides Huds.) und seine Verbreitung in Schleswig-Holstein. Dissertation. Christian-Albrecht-Universität, Kiel, Germany. 249 p.Google Scholar
Moss, S. R. 1987. Herbicide resistance in blackgrass (Alopecurus myosuroides Huds). Pages 879886 in Proceedings British Crop Protection Conference-Weeds. Brighton, Great Britain.Google Scholar
Moss, S. R. and Clarke, J. H. 1994. Guidelines for the prevention and control of herbicide-resistant blackgrass (Alopecurus myosuroides Huds). Crop Prot 13:230234.CrossRefGoogle Scholar
Nilsson, P., Fagerström, T., Tuomi, J., and Åström, M. 1994. Does seed dormancy benefit the mother plant by reducing sib competition? Evol. Ecol 8:422430.CrossRefGoogle Scholar
Peters, N. C. B. 1982. The dormancy of wild oat seed (Avena fatua L.) from plants grown under various temperature and soil moisture conditions. Weed Res 22:205212.CrossRefGoogle Scholar
Rémy, J. C. and Hébert, J. 1977. Le devenir des engrais azotés dans le sol. C.R. Acad. Agric. Fr 63:700710.Google Scholar
Roger-Estrade, J., Colbach, N., Leterme, P., Richard, G., and Caneill, J. 2001. Modelling vertical and lateral weed seed movements during mouldboard ploughing with a skim-coulter. Soil Tillage Res 63:3549.CrossRefGoogle Scholar
Saglio, P. H. and Pradet, A. 1980. Soluble sugars, respiration and energy charge during aging of excised maize root tips. Plant Physiol 66:516519.CrossRefGoogle ScholarPubMed
[SAS] Statistical Analysis Systems. Cary, NC: Statistical Analysis Systems Institute.Google Scholar
Stryckers, J. and Delputte, P. 1965. Biologie et propagation du vulpin des champs, Alopecurus myosuroides Huds. Rev. Agric 7:, 8. 813836.Google Scholar
Van Himme, M. and Bulcke, R. 1975. Distribution, extension et importance d'Alopecurus myosuroides Huds. en Europe. Pages 2354 in Status, Biology and Control of Grass Weeds in Europe. Paris: Proceedings of the EWRS Symposium.Google Scholar
Venable, D. L. and Lawlor, L. 1980. Delayed germination and dispersal in desert annuals: escape in space and time. Oecologia 46:272282.CrossRefGoogle ScholarPubMed
Vleeshouwers, L. M. 1997. Modelling the effect of temperature, soil penetration resistance, burial depth and seed weight on pre-emergence growth of weeds. Ann. Bot 79:553563.CrossRefGoogle Scholar
Wallgren, B. and Avholm, K. 1978. Dormancy and germination of Apera spica-ventis L. and Alopecurus myosuroides Huds. seeds. Swed. J. Agric. Res 8:1115.Google Scholar
Weibull, W. 1959. A statistical distribution function of wide applicability. J. Appl. Mech 18:293297.CrossRefGoogle Scholar
Wellington, P. S. and Hitchings, S. 1965. Germination and seedling establishment of blackgrass. J. Natl. Inst. Agric. Bot 10:262273.Google Scholar
Wellington, P. S. and Hitchings, S. 1966. Seed dormancy and the winter annual habit in blackgrass (Alopecurus myosuroides Huds). J. Natl. Inst. Agric. Bot 10:628643.Google Scholar
Witono, H. and Bruckler, L. 1989. Use of remotely sensed soil moisture content as boundary conditions in soil-atmosphere water transport modelling. I. Field validation of a water flow model. Water Resour. Res 25:24232435.CrossRefGoogle Scholar