Abstract
Probabilities of Setaria spp., Solanum ptycanthum, Helianthus annuus and Abutilon theophrasti occurrence were predicted based on two site property factors and weed species presence in a previous year using logistic regression models. Weed seedling surveys were conducted just prior to post-emergence weed management in two grower-managed fields in the central Platte River Valley of Nebraska, USA at Alda in 1995 and 1996 and at Shelton in 1994, 1995 and 1997. Weed species density data were re-classified as present or absent at each pair of points on the sampling grid, representing quadrat locations either in the pre-emergence herbicide band or between the crop rows. Site property data were collected in March 1995 at Alda and March 1994 at Shelton. Using factor analysis, two independent factors were derived from correlated attributes of relative elevation, percent organic carbon, pH, nitrate, phosphate, and soil texture measured at Alda. Logistic regression models were estimated and parameterized for each weed species at Alda in 1996 based on the two factors (“topography and soil type” and “soil fertility status”) and weed species presence in 1995. Performance of these models for each weed species was evaluated using the independent data set from Shelton. Between and on crop row Setaria spp. and Solanum ptycanthum models described these populations at Alda. At Shelton, on row Setaria spp. occurrence and between row Solanum ptycanthum occurrence were adequately predicted. Helianthus annuus or Abutilon theophrasti occurrence was not well predicted even with knowledge of their presence in the previous year, probably as a result of low actual occurrence within a given year. Maps of predicted occurrence have value in directing weed scouting to field locations where the species is most likely to occur.
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References
Agresti, A. 1990. Categorical Data Analysis (John Wiley & Sons, Inc., New York), Ch. 4.
Andreasen, C., Jensen, J. E. and Streibig, J. C. 1991a. Soil properties and plant nutrients affecting the occurrence of Poa annua, Stellaria media and Viola arvensis on arable land. In: Brighton Crop Protection Conference—Weeds (British Crop Protection Council), vol. 1, p. 395–402.
Andreasen, C., Streibig, J. C. and Haas, H. 1991b. Soil properties affecting the distribution of 37 weed species in Danish fields. Weed Research 31, 181–187.
Blackmer, T. M. and Schepers, J. S. 1996. Using DGPS to improve maize production and water quality. GPS World (March), 44–52.
Blackshaw, R. E., Molnar, L. J. and Lindwall, C. W. 1998a. Merits ofa weed-sensing sprayer to control weeds in conservation fallow and cropping systems. Weed Science 46, 120–126.
Blackshaw, R. E., Molnar, L. J., Chevalier, D. F. and Lindwall, C. W. 1998b. Factors affecting the operation ofthe weed-sensing Detectspray system. Weed Science 46, 127–131.
Bowes, G. G., Spurr, D. T., Thomas, A. G., Peschken, D. P. and Douglas, D. W. 1994. Habitats occupied by scentless chamomile (Matricaria perforata Mérat) in Saskatchewan. Canadian Journal ofPlant Science 74, 383–386.
Brain, P. and Cousens, R. 1990. The effect ofweed distribution on predictions ofyield loss. Journal ofApplied Ecology 27, 735–742.
Brown, R. B. and Steckler, J.-P. G. A. 1995. Prescription maps for spatially variable herbicide application in no-till corn. Transactions ofthe American Society ofAgricultural Engineers 38, 1659–1666.
Brown, R. B., Steckler, J.-P. G. A. and Anderson, G. W. 1994. Remote sensing for identification of weeds in no-till corn, Transactions ofthe American Society ofAgricultural Engineers 37, 297–302.
Cardina, J., Sparrow, D. H. and McCoy, E. L. 1995. Analysis ofspatial distribution ofcommon lambsquarters (Chenopodium album) in no-till soybean (Glycine max). Weed Science 43, 258–268.
Chicoine, T. K., Fay, P. K. and Nielsen, G. A. 1995. Predicting weed migration from soil and climate maps. Weed Science 34, 57–61.
Dieleman, J. A. and Mortensen, D. A. 1999. Characterizing the spatial pattern of Abutilon theophrasti seedling patches. Weed Research 39, 455–467.
Dieleman, J. A., Mortensen, D. A., Martin, A. R. and Wyse-Pester, D. Y. 1999. Influence ofv elvetleaf( Abutilon theophrasti) and common sunflower (Helianthus annuus) density on weed management outcomes. Weed Science 47, 81–89 [errata 47, 254].
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 Science 48, 567–575.
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 Science 48, 576–587.
Firbank, L. G., Ellis, N. E., Hill, M. O., Lockwood, A. J. and Swetnam, R. D. 1998. Mapping the distribution ofweeds in Great Britain in relation to national survey data and to soil type. Weed Research 38, 1–10.
Gerhards, R., Wyse-Pester, D. Y., Mortensen, D. A. and Johnson G. A. 1997. Characterizing spatial stability and weed populations using interpolated maps. Weed Science 45, 108–119.
Gribko, L. S., Liebhold, A. M. and Hohn, M. E. 1995. Model to predict gypsy moth (Lepidoptera: Lymantriidae) defoliation using kriging and logistic regression. Environmental Entomology 24, 529–537.
Heisel, T., Ersboll, A. K. and Andreasen, C. 1999. Weed mapping with co-kriging using soil properties, Precision Agriculture 1, 39–52.
Johnson, D. A., Alldredge, J. R. and Vakoch, D. L. 1996. Potato late blight forecasting models for the semiarid environment ofsouth-central Washington. Phytopathology 86, 480–484.
Johnson, G. A., Mortensen, D. A. and Martin, A. R. 1995a. A simulation ofherbicide use based on weed spatial distribution. Weed Research 35, 197–205.
Johnson, G. A., Mortensen, D. A., Young, L. J. and Martin, A. R. 1995b. The stability ofweed seedling population models and parameters in eastern Nebraska corn (Zea mays) and soybean (Glycine max) fields. Weed Science 43, 604–611.
Johnson, R. A. and Wichern, D. W. 1992. Applied Multivariate Statistical Analysis, Third Edition (Prentice-Hall, Inc., Englewood Cliffs, New Jersey), Ch. 10.
Lindquist, J. L., Dieleman, J. A., Mortensen, D. A., Johnson, G. A. and Wyse-Pester, D. Y. 1998. Economic importance ofmanaging spatially heterogene of us weed populations. Weed Technology 12, 7–13.
Mortensen, D. A., Johnson, G. A. and Young, L. J. 1993. Weed distribution in agricultural fields. In: Soil Specific Crop Management, edited by P. C. Robert and R. H. Rust (American Society ofAgronomy, Madison, WI, USA), p. 113–124.
Novak, J. M., Moorman, T. B. and Cambardella, C. A. 1997. Atrazine sorption at the field scale in relation to soils and landscape position. Journal ofEn vironmental Quality 26, 1271–1277.
Pacala, S. W. and Silander, J. A., Jr. 1990. Field tests ofneighborhood population dynamic models oftw o annual weed species. Ecological Monographs 60, 113–134
Pennock, D. J., Anderson, D. W. and de Jong, E. 1994. Landscape-scale changes in indicators ofsoil quality due to cultivation in Saskatchewan, Canada. Geoderma 64, 1–19.
Stafford, J. V. and Benlloch, J. V. 1997. Machine assisted detection of weeds and weed patches, In: Precision Agriculture '97, Proceedings of 1st European Conference on Precision Agriculture, edited by J. V. Stafford (BIOS Scientific Publishers, Oxford, UK), p. 511–518.
Walter, A. M., Heisel, T. and Christensen, S. 1997. Shortcuts in weed mapping, In: Precision Agriculture '97, Proceedings of 1st European Conference on Precision Agriculture, edited by J. V. Stafford (BIOS Scientific Publishers, Oxford, UK), p. 777–784.
Williams II, M. M., Gerhards, R. and Mortensen, D. A. 1999. Spatiotemporal outcomes ofsite-specific weed management in maize, In: Precision Agriculture '99, Proceedings of the 2nd European Conference on Precision Agriculture, edited by J. V. Stafford (Sheffield Academic Press, Sheffield, UK), p. 897–906.
Wilson, B. J. and Brain, P, 1991. Long-term stability ofdistrib ution of Alopecurus myosuroides Huds. within cereal fields. Weed Research 31, 367–373.
Wyse, D. Y. 1996. Characterizing the Stability of Weed Seedling Populations, M.S. Thesis. (University of Nebraska, Lincoln, NE, USA) 122 pp.
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Anita Dille, J., Mortensen, D.A. & Young, L.J. Predicting Weed Species Occurrence Based on Site Properties and Previous Year's Weed Presence. Precision Agriculture 3, 193–207 (2002). https://doi.org/10.1023/A:1015596518147
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DOI: https://doi.org/10.1023/A:1015596518147