Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-27T09:31:31.442Z Has data issue: false hasContentIssue false

Factors affecting the realized niche of common sunflower (Helianthus annuus) in ridge-tillage corn

Published online by Cambridge University Press:  20 January 2017

David A. Mortensen
Affiliation:
Department of Crop and Soil Sciences, Pennsylvania State University, University Park, PA 16802-3504
David B. Marx
Affiliation:
Department of Statistics, University of Nebraska–Lincoln, Lincoln, NE 68583-0712
John L. Lindquist
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE 68583-0915

Abstract

Because soil characteristics and weed densities vary within agricultural landscapes, determining which subfield areas are most favorable to weed species may aid in their management. Field and greenhouse studies were conducted to determine whether subfield environments characterized by higher soil organic carbon (SOC), or ridge vs. furrow microsites, affect common sunflower seed germination after winter burial, seedling emergence, or the control afforded by a preemergence herbicide in a ridge-tillage corn production system. Among seeds buried in situ during winter months and germinated in the laboratory, no differences in common sunflower seed germination or mortality were detected between high-SOC (1.8% mean) and low-SOC (1.1% mean) locations. However, seeds buried at 5-cm depth had about 40% laboratory germination compared with about 10% for seeds stratified on the soil surface or under crop residues. In field emergence and survival experiments, the SOC main-plot effect indicated 25% greater seedling survival in high- than in low-SOC locations. In the absence of herbicide, both emergence and survival were ≥ 35% greater in the ridge than in the furrow microsite, and seedling survival was 48% greater in high- vs. low-SOC furrow environments. However, common sunflower seedling survival was similar between herbicide-treated high- and low-SOC ridges. Greenhouse studies indicated a 13 to 24% increase in common sunflower seedling biomass per 1% increase in SOC under three atrazine doses. Altered or additional weed management tactics should be considered for common sunflower in high-SOC environments to offset the greater potential for seedling survival and growth.

Type
Weed Management
Copyright
Copyright © 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

Andreasen, C., Streibig, J. C., and Haas, H. 1991. Soil properties affecting the distribution of 37 weed species in Danish fields. Weed Res 31:181187.Google Scholar
Anonymous. 1998. Recommended Chemical Soil Test Procedures for the North Central Region. Publication No. 221 (revised). Pp. 5556.Google Scholar
Anonymous. 2000. Tetrazolium Testing Handbook, Revised. Tetrazolium Testing Committee of the Association of Official Seed Analysts. J. Peters, ed. Lincoln, NE: Association of Official Seed Analysts.Google Scholar
Austin, M. P. and Austin, B. O. 1980. Behaviour of experimental plant communities along a nutrient gradient. J. Ecol 68:891918.Google Scholar
Bauer, T. A. and Mortensen, D. A. 1992. A comparison of economic and economic optimum thresholds for two annual weeds in soybeans. Weed Technol 6:228235.CrossRefGoogle Scholar
Blumhorst, M. R., Weber, J. B., and Swain, L. R. 1990. Efficacy of selected herbicides as influenced by soil properties. Weed Technol 4:279283.Google Scholar
Burton, M. G. 2000. Effects of Soil and Landscape Characteristics on the Population Dynamics of Wild Helianthus annuus L. Ph.D dissertation. University of Nebraska, Lincoln, NE. Pp. 950, 130–181.Google Scholar
Burton, M. G. and Mortensen, D. A. 2002. Contribution of seed re-dispersal in Helianthus annuus L. patch persistence. Proc. South. Weed Sci. Soc 55:186187.Google Scholar
Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F., and Konopka, A. E. 1994. Field-scale variability of soil properties in Central Iowa soils. Soil Sci. Soc. Am. J 58:15011511.CrossRefGoogle Scholar
Cardina, J., Regnier, E., and Sparrow, D. 1995. Velvetleaf (Abutilon theophrasti) competition and economic thresholds in conventional- and no-tillage corn (Zea mays). Weed Sci 42:8187.Google Scholar
Coffin, D. P. and Lauenroth, W. K. 1994. Successional dynamics of a semiarid grassland: effects of soil texture and disturbance size. Vegetatio 110:6782.Google Scholar
Cousens, R. and Mortimer, M. 1995. Dynamics of Weed Populations. Port Chester, NY: Cambridge University Press. Pp. 1819.CrossRefGoogle Scholar
Cousens, R. D. and Woodcock, J. L. 1997. Spacial dynamics of weeds: an overview. Pages 613618 in Proceedings of the Brighton Crop Protection Conference—Weeds. Farnham, UK: British Crop Protection Council.Google Scholar
Dale, H. M. 1964. Influence of soil on weed vegetation on a drained river millpond. Can. J. Bot 42:823830.CrossRefGoogle Scholar
Dale, M. R. T., Thomas, A. G., and John, E. A. 1992. Environmental factors including management practices as correlates of weed community composition in spring seeded crops. Can. J. Bot 70:19311939.Google Scholar
Dieleman, J. A., Mortensen, D. A., Buhler, D. D., Cambardella, C. A., and Moorman, T. B. 2000a. Identifying associations among site properties and weed species abundance. I. Multivariate analysis. Weed Sci 48:567575.Google Scholar
Dieleman, J. A., Mortensen, D. A., Buhler, D. D., and Ferguson, R. B. 2000b. Identifying associations among site properties and weed species abundance. II. Hypothesis generation. Weed Sci 48:576587.Google Scholar
Doyle, C. J. 1991. Mathematical models in weed management. Crop Prot 10:432444.CrossRefGoogle Scholar
Fernandez-Quintanilla, C., Navarrette, L., Torner, C., and Andujar, J. L. 1987. Influence of herbicide treatments on the population dynamics of Avena sterilis ssp. ludoviciana (Durieu) Nyman in winter wheat crops. Weed Res 27:375383.Google Scholar
Forcella, F. and Lindstrom, M. J. 1988a. Movement and germination of weed seeds in ridge-till crop production systems. Weed Sci 36:5659.Google Scholar
Forcella, F. and Lindstrom, M. J. 1988b. Weed seed populations in ridge and conventional tillage. Weed Sci 36:500503.CrossRefGoogle Scholar
Freund, R. J. and Littell, R. C. 2000. SAS® System for Regression. 3rd ed. Cary, NC: Statistical Analysis Systems Institute.Google Scholar
Gonzalez-Andujar, J. L. and Fernandez-Quintanilla, C. 1991. Modelling the population dynamics of Avena sterilis under dry-land cereal cropping systems. J. Appl. Ecol 28:1627.CrossRefGoogle Scholar
Gupta, S. C., Larson, W. E., and Linden, D. R. 1983. Tillage and surface residue effects on soil upper boundary temperatures. Soil Sci. Soc. Am. J 47:12121218.Google Scholar
Gururaj, R. and Mallikarjunaiah, R. R. 1994. Interaction effect of Azotobacter and phosphate-solubilizing fungi on seed germination and seedling growth of sunflower. Helia 17:3340.Google Scholar
Harper, J. L. 1977. Population Biology of Plants. New York: Academic. 892 p.Google Scholar
Hartgerink, A. P. and Bazzaz, F. A. 1984. Seedling-scale environmental heterogeneity influences individual fitness and population structure. Ecology 65:198206.Google Scholar
Hoveland, C. S., Buchanan, G. A., and Harris, M. C. 1976. Response of weeds to soil phosphorus and potassium. Weed Sci 24:194201.CrossRefGoogle Scholar
Johnson, G. A., Krusemark, M. G., and Bell, J. 1999. Using a GIS to study the interaction of terrain attributes and weed occurrence. Weed Sci. Soc. Am. Abstr 39:333.Google Scholar
Kirkpatrick, B. L. and Bazzaz, F. A. 1979. Influence of certain fungi on seed germination and seedling survival of four colonizing annuals. J. Appl. Ecol 16:515527.Google Scholar
Klein, R. N., Wicks, G. A., and Wilson, R. G. 1996. Ridge-till, an integrated weed management system. Weed Sci 44:417422.CrossRefGoogle Scholar
Lindquist, J. L., Maxwell, B. D., Buhler, D. D., and Gunsolus, J. L. 1995. Velvetleaf (Abutilon theophrasti) recruitment, survival, seed production, and interference in soybean (Glycine max). Weed Sci 43:226232.Google Scholar
Littell, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. 1996. SAS System for Mixed Models. Cary, NC: Statistical Analysis Systems Institute.Google Scholar
Maguire, J. D. and Overland, A. 1959. Laboratory Germination of Weedy and Native Plants. Pullman, WA: Washington Agricultural Experiment Station Bulletin. No. 349. 15 p.Google Scholar
Martin, A. R., Roeth, F. W., Wilson, R. G., Wicks, G. A., Klein, R. N., Lyon, D. J., and Knezevic, S. Z. 2000. 2000 Guide for Weed Management in Nebraska. Lincoln, NE: Nebraska Cooperative Extension Service EC 00-130-D.Google Scholar
Maxwell, B. D. and Ghersa, C. 1992. The influence of weed seed dispersion versus the effect of competition on crop yield. Weed Technol 6:196204.Google Scholar
Medlin, C. R., Shaw, D. R., Cox, M. S., Gerard, P. D., Abshire, M. J., and Wardlaw, M. C. III. 2001. Using soil parameters to predict weed infestations in soybean. Weed Sci 49:367374.Google Scholar
Mortensen, D. A., Bastiaans, L., and Sattin, M. 2000. The role of ecology in the development of weed management systems: an outlook. Weed Res 40:4962.Google Scholar
Mueller-Dombois, D. and Sims, H. P. 1966. Response of three grasses to two soils and a water table depth gradient. Ecology 47:644648.Google Scholar
Naylor, R. E. L. 1972. Aspects of the population dynamics of the weed Alopecurus myosuroides Huds. in winter cereal crops. J. Appl. Ecol 9:127139.Google Scholar
Novak, J. M., Moorman, T. B., and Cambardella, C. A. 1997. Atrazine sorption at the field scale in relation to soils and landscape position. J. Environ. Qual 26:12711277.Google Scholar
Pickett, S. T. A. and Bazzaz, F. A. 1976. Divergence of two co-occurring successional annuals on a soil moisture gradient. Ecology 57:169176.CrossRefGoogle Scholar
Rew, L. J. and Cussans, G. W. 1997. Horizontal movement of seeds following tine and plough cultivation: implications for spatial dynamics of weed infestations. Weed Res 37:247256.CrossRefGoogle Scholar
Rosenberg, N. J., Blad, B. L., and Verma, S. B. 1983. Microclimate: The Biological Environment. 2nd ed. New York: J. Wiley. Pp. 99100.Google Scholar
[SAS] Statistical Analysis Systems. 1999. SAS/STAT User's Guide. Version 8. Cary, NC: Statistical Analysis Systems Institute.Google Scholar
Sheets, T. J., Crafts, A. S., and Drever, H. R. 1962. Influence of soil properties on the phytotoxicities of the s-triazine herbicides. J. Agric. Food Chem 10:458462.CrossRefGoogle Scholar
Teasdale, J. R. and Mohler, C. L. 1993. Light transmittance, soil temperature, and soil moisture under residue of hairy vetch and rye. Agron. J 85:673680.Google Scholar
Teo-Sherrell, C. P. A., Mortensen, D. A., and Keaton, M. E. 1996. Fates of weed seeds in soil: a seeded core method of study. J. Appl. Ecol 33:11071113.Google Scholar
Tyler, G. 1996. Cover distributions of vascular plants in relation to soil chemistry and soil depth in a granite rock ecosystem. Vegetatio 127:215223.Google Scholar
Varvel, G. E., Schlemmer, M. R., and Schepers, J. S. 1999. Relationship between spectral data from an aerial image and soil organic matter and phosphorus levels. Precis. Agric 1:291300.Google Scholar
Virchow, D. and Hygnstrom, S. E. 1992. The Thirteen-Lined Ground Squirrel: Controlling Damage. NebGuide G92-1110-A. Lincoln, NE: Nebraska Cooperative Extension Service, University of Nebraska.Google Scholar
Walkley, A. and Black, I. A. 1934. An examination of Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci 37:2937.Google Scholar
Wicks, G. A. and Somerhalder, B. R. 1971. Effect of seedbed preparation for corn on distribution of weed seed. Weed Sci 19:666669.Google Scholar
Williams, M. M. II, Mortensen, D. A., Martin, A. R., and Marx, D. B. 2001. Relevance of sub-field soil heterogeneity on herbicide-mediated crop and weed fitness. Weed Sci 49:798805.Google Scholar