Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-27T04:57:50.405Z Has data issue: false hasContentIssue false

Vernal Seedling Emergence Model for Common Lambsquarters (Chenopodium album)

Published online by Cambridge University Press:  12 June 2017

Stephen J. Harvey
Affiliation:
Res. Agron., USDA/ARS North Cent. Soil Conserv. Res. Lab., Morris, MN 56267
Frank Forcella
Affiliation:
Res. Agron., USDA/ARS North Cent. Soil Conserv. Res. Lab., Morris, MN 56267

Abstract

Knowledge of timing and extent of weed emergence before and immediately after crop seedbed preparation is needed to decrease need for preplant herbicides and increase efficacy of postemergence weed control in crops with either mechanical or chemical methods. Such knowledge is important for weeds that infest most crops over a wide area. For these reasons a mechanistic seedling emergence model based solely on soil temperature was developed for common lambsquarters. The model was validated using four sets of field data collected in 1988, 1990, and 1991 near Morris, MN. Agreement of predicted and observed emergence values across all site-years was 0.95 and the coefficient of determination (R2) was 0.98 (P < 0.001). Agreement for individual site-years was 0.96, 1.08, 1.08, and 0.98 and associated R2 values were 0.99, 0.99, 0.99, and 0.98 (P < 0.001 for each site-year), indicating close agreement between predicted and actual emergence values.

Type
Soil, Air, and Water
Copyright
Copyright © 1993 by the Weed Science Society of America 

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

Literature Cited

1. Alm, D. M., McGiffen, M. E. Jr., and Hesketh, J. D. 1991. Modeling weed phenology. Pages 191217 in Hodges, T., ed. Physiological Aspects of Predicting Phenology. CRC Press, Boca Raton, FL.Google Scholar
2. Barrett, M. and Peters, R. A. 1976. Germination of corn, lambsquarters, and fall panicum under simulated drought. Proc. Northeast Weed Sci. Soc. 30:98103.Google Scholar
3. Baskin, J. M. and Baskin, C. C. 1987. Temperature requirements for after-ripening in buried seeds of four summer annual weeds. Weed Res. 27:385389.Google Scholar
4. Blackshaw, R. E., Stobbe, E. H., and Sturko, A.R.W. 1981. Effect of seeding dates and densities of green foxtail (Setaria viridis) on the growth and productivity of spring wheat (Triticum aestivum). Weed Sci. 29:212217.Google Scholar
5. Bouwmeester, H. G. and Karssen, C. M. 1989. Environmental factors influencing the expression of dormancy patterns in weed seeds. Ann. Bot. 63:113120.CrossRefGoogle Scholar
6. Campbell, G., Lambert, J.D.H., Arnason, T., and Towers, G.H.N. 1982. Allelopathic properties of alpha-terthienyl and phenylheptatriyne, naturally occurring compounds from species of Asteraceae, Asclepias syriaca, xChenopodium album, Phleum pratense, Trifolium pratense, Tagetes erecta, and Bidens pilosa . J. Chem. Ecol. 8:961972.Google Scholar
7. Cumming, B. G. 1963. The dependence of germination on photoperiod, light quality, and temperature, in Chenopodium spp. Can. J. Bot. 41:12111233.CrossRefGoogle Scholar
8. Dawson, J. H. and Bruns, V. F. 1962. Emergence of barnyardgrass, green foxtail, and yellow foxtail seedlings from various soil depths. Weeds 10:136139.CrossRefGoogle Scholar
9. Decker, J. and Meggit, W. F. 1986. Field emergence of velvetleaf (Abutilon theophrasti) in relation to time and burial depth. Iowa State J. Res. 61:6580.Google Scholar
10. Fawcett, R. S. and Slife, F. W. 1975. Germination stimulation properties of carbamate herbicides. Weed Sci. 23:419424.Google Scholar
11. 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
12. Geiger, R. 1965. Ground color, surface temperature, and ground cover (mulching). Pages 153167 in Geiger, R. The Climate Near the Ground. Harvard Univ. Press, Cambridge, MA.Google Scholar
13. Henson, I. E. 1970. The effects of light, potassium nitrate and temperature on the germination of Chenopodium album L. Weed Res. 10:2739.Google Scholar
14. Hillel, D. 1972. Soil moisture and seed germination. Pages 6589; in Kozlowski, T., ed. Water Deficits and Plant Growth. Vol. 3: Plant Responses and Control of Water Balance. Academic Press, New York.Google Scholar
15. Hillel, D. 1982. Soil temperature and heat flow. Pages 155172 in Hillel, D. Introduction to Soil Physics. Academic Press, New York.Google Scholar
16. Menne, M. J. and Seeley, M. W. 1991. Cooperative Agricultural Weather Advisory Program 1990 Crop Season Climatic Data, Univ. Minn. field research locations. Univ. Minn. Agric. Ext. Serv. Pages 910, 50.Google Scholar
17. Mester, T. C. and Buhler, D. D. 1990. Effect of planting depth on velvetleaf (Abutilon theophrasti) seedling development and response to cyanazine. Weed Sci. 38:3438.Google Scholar
18. Mitich, L. W. 1988. Intriguing world of weeds: common lambsquarters. Weed Technol. 2:550552.CrossRefGoogle Scholar
19. Murdoch, A. J., Roberts, E. H., and Goedert, C. O. 1989. A model for germination responses to alternating temperatures. Ann. Bot. 63:97111.Google Scholar
20. Murphy, R. P. and Amy, A. C. 1939. The emergence of grass and legume seedlings planted at different depths in five soil types. J. Am. Soc. Agron. 331:1728.Google Scholar
21. Novak, J. L. and Stegelin, F. E. 1988. U.S. attitudes towards microcomputer uses. Computers and Electronics in Agric. 3:8189.Google Scholar
22. Ogg, A. G. and Dawson, J. H. 1984. Time of emergence of eight weed species. Weed Sci. 32:327335.Google Scholar
23. Radosevich, S. R. and Holt, J. S. 1984. Pages 113115, 137, and 226–227 in Radosevich, S. R. and Holt, J. S. Weed Ecology: Implications for Vegetation Management. John Wiley & Sons, New York.Google Scholar
24. Roberts, H. A. 1964. Emergence and longevity in cultivated soil of seeds of some annual weeds. Weed Res. 4:296307.Google Scholar
25. Roberts, H. A. and Benjamin, S. K. 1979. The interaction of light, nitrate and alternating temperature on the germination of Chenopodium album, Capsella bursa-pastoris and Poa annua before and after chilling. Seed Sci. Technol. 7:379392.Google Scholar
26. Roberts, H. A. and Nielson, J. E. 1980. Seed survival and periodicity of seedling emergence in some species of Atriplex, Chenopodium, Polygonum and Rumex . Ann. Appl. Biol. 94:111120.Google Scholar
27. Saini, H. S., Bassi, P. K., and Spencer, M. S. 1985a. Seed germination in Chenopodium album L.: Relationships between nitrate and the effects of plant hormones. Plant Physiol. 77:940943.CrossRefGoogle ScholarPubMed
28. Saini, H. S., Bassi, P. K., and Spencer, M. S. 1985b. Seed germination in Chenopodium album L.: Further evidence for the dependence of the effects of growth regulators on nitrate availability. Plant Cell Environ. 8:707711.Google Scholar
29. Saini, H. S. and Spencer, M. S. 1987. Manipulation of seed nitrate content modulates the dormancy-breaking effect of ethylene on Chenopodium album seed. Can. J. Bot. 65:876878.Google Scholar
30. Seeley, M. W., Spoden, G. J., Schrader, C. A., Menne, M. J., and Ha, O. Q. 1989. Cooperative Agricultural Weather Advisory Program 1988 Crop Season Climatic Data, Univ. Minn. field research locations. Univ. Minn. Agric. Bull. AG-BU-2291:910, 50.Google Scholar
31. Shibuya, T. and Hayashi, I. 1984. A mathematical model for the time variation of the rate of seed germination. Jap. J. Ecol. 34:361363.Google Scholar
32. Smith, O. R., Gaultney, L. D., Barrett, J. R., Jones, D. D., and Castore, C. H. 1988. Sources of information used for decision support by agricultural computers users. Paper 88–5018. Int. Meeting Am. Soc. Agric. Eng. June 26–29. Rapid City, SD. 15 pp.Google Scholar
33. Snedecor, G. W. and Cochran, W. G. 1967a. Curvilinear regression. Pages 447453 in Snedecor, G. W. and Cochran, W. G. Statistical Methods. Iowa State Univ. Press, Ames.Google Scholar
34. Snedecor, G. W. and Cochran, W. G. 1967b. Sampling from a normally distributed population. Pages 5963 in Snedecor, G. W. and Cochran, W. G. Statistical Methods. Iowa State Univ. Press, Ames.Google Scholar
35. Snedecor, G. W. and Cochran, W. G. 1967c. Attribute data with more than one degree of freedom. Pages 236238 in Snedecor, G. W. and Cochran, W. G. Statistical Methods. Iowa State Univ. Press, Ames.Google Scholar
36. Staricka, J. A., Burford, P. M., Allmaras, R. R., and Nelson, W. W. 1990. Tracing the vertical distribution of simulated shattered seeds as related to tillage. Agron. J. 82:11311134.Google Scholar
37. Stoller, E. W., Harrison, S. K., Wax, L. M., Regnier, E. E., and Nafzinger, E. D. 1987. Weed interference in soybeans (Glycine max). Rev. Weed Sci. 3:155181.Google Scholar
38. Swinton, S. M. 1991. A bioeconomic model for weed management in corn and soybean. Ph.D. Thesis, Univ. Minn. 278 pp.Google Scholar
39. Taylorson, R. B. 1987. Environmental and chemical manipulation of weed seed dormancy. Rev. Weed Sci. 3:135154.Google Scholar
40. Taylorson, R. B. and Hendricks, S. B. 1977. Dormancy in seeds. Annu. Rev. Plant Physiol. 28:331354.Google Scholar
41. U.S. Dept. Commerce. 1991. 1991 Climatological data, Minnesota. Nat. Oceanic and Atmospheric Admin. 97(4–5):7.Google Scholar
42. Vincent, G. 1987. Ag computerization steams on. Successful Farming 85(6):18.Google Scholar
43. Weaver, S. E., Tan, C. S., and Brain, P. 1988. Effect of temperature and soil moisture on time of emergence of tomatoes and four weed species. Can. J. Plant Sci. 68:877886.Google Scholar
44. Wiese, A. F. and Davis, R. G. 1967. Weed emergence from two soils at various moistures, temperatures, and depths. Weeds 15:118121.Google Scholar
45. Williams, J. T. 1962. Biological flora of the British Isles. Chenopodium album L. J. Ecol. 51:711725.Google Scholar
46. Williams, J. T. and Harper, J. L. 1965. Seed polymorphism and germination. I. The influence of nitrates and low temperatures on the germination of Chenopodium album . Weed Res. 5:141150.CrossRefGoogle Scholar
47. Zimmerman, M. D. 1987. Information technologies will invade agriculture. Agric. Eng. 68:812.Google Scholar