Multi-species weed spatial variability and site-specific management maps in cultivated sunflower

Weed Science

Volumn 51, Issue 3, 2003, Pages 319-328

  Jurado Expósito, Montserrat ^a   López Granados, Francisca ^a   García Torres, Luis ^a   García Ferrer, Alfonso ^b   De La Orden, Manuel Sánchez ^b   Atenciano, Silvia ^a  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^b UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Economic threshold; Geostatistics; Kriging; Overall infestation; Precision agriculture

Indexed keywords

CULTIVATION; HERBICIDE; KRIGING; SPATIAL DISTRIBUTION; SPATIAL VARIATION; WEED; WEED CONTROL;

EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

CARUM CARVI; HELIANTHUS; OROBANCHE CERNUA; ZEA MAYS;

EID: 4243864011     PISSN: 00431745     EISSN: None     Source Type: Journal    
DOI: 10.1614/0043-1745(2003)051[0319:MWSVAS]2.0.CO;2     Document Type: Article

References (55)

1. Berti, A. and G. Zanin. 1997. GESTINF, a decision model for post-emergence weed management in soybean (Glycine max (L.) Merr). Crop Prot. 16:109-116.
2. Brain, P. and R. Cousens. 1990. The effect of weed distribution on predictions of yield loss. J. Appl. Ecol. 27:735-742.
3. Bregt, A. K., H. J. Gesing, and A. Alkasuma. 1992. Mapping the conditional probability of soil variables. Geoderma 53:15-29.
4. Cambardella, C. A. and D. L. Karlen. 1999. Spatial analysis of soil fertility parameters. Prec. Agric. 1:5-11.
5. Cambardella, C. A., T. B. Moorman, J. M. Novak, T. B. Parkin, D. K. Karlen, R. F. Turco, and A. E. Konopka. 1994. Field-scale variability of soil properties in central Iowa soils. Soil Sci. Soc. Am. J. 58:1501-1511.
6. Cardina, J., D. H. Sparrow, and E. L. McCoy. 1995. Analysis of spatial distribution of common lambsquarters (Chenopodium album) in notill soybean (Glycine max). Weed Sci. 43:258-268.
7. Carranza, P., M. Saavedra, and L. García-Torres. 1995. Competition between Ridolfia segetum and sunflower. Weed Res. 35:369-375.
8. Castro-Tendero, A. J. and L. García-Torres. 1995. SEMAGI-an expert system for weed control decision making in sunflowers. Crop Prot. 14:543-548.
9. Christensen, S. T., T. Heisel, and A. M. Walter. 1996. Patch spraying in cereals. Pages 936-968 in Proceedings of the 2nd International Weed Control Conference. Copenhagen, Denmark: Bios Scientific.
10. Clay, S. A., G. J. Lems, D. E. Clay, F. Forcella, M. M. Ellsbury, and C. G. Carlson. 1999. Sampling weed spatial variability on a fieldwide scale. Weed Sci. 47:674-681.
11. Cousens, R. and A. M. Croft. 2000. Weed populations and pathogens. Weed Res. 40:63-82.
12. Cressie, N.A.C. 1991. Median polish kriging. Pages 183-199 in N.A.C. Cressie, ed. Statistics for Spatial Data. New York: J. Wiley.
13. Dammer, K.-H., T. Schweigen, and C. H. Wittmann. 1999. Probability maps for risk assessment in a patchy weed control. Prec. Agric. 1:185-198.
14. Dieleman, J. A. and D. A. Mortensen. 1999. Characterizing the spatial pattern of Abutilon theophrasti seedling patches. Weed Res. 39:455-467.
15. Donald, W. W. 1994. Geostatistics for mapping weeds with a Canada thistle (Cirsium arvense) patch as a case study. Weed Sci. 42:648-657.
16. Doyle, C. J. 1991. Mathematical models in weed management. Crop Prot. 10:432-444.
17. Ersbøll, A. K., K. Kristensen, E. Nordbo, and S. Christensen. 1993. Estimating the number of weed plants using kriging. Pages 140-151 in S. Boelskifte, ed. Symposium i Anvendt Statistik. Ålborg, Denmark: UNIC.
18. García-Torres, L. 1980. Una revisión de los sistemas de control de malas hierbas en el girasol, con especial referencia a Andalucía Occidental. Helia 3:47-52.
19. García-Torres, L., M. Castejón-Muñoz, M. Jurado-Expósito, and F. López-Granados. 1996. Modeling the economics of controlling nodding broomrape (Orobanche cernua) in sunflower (Helianthus annuus). Weed Sci. 44:591-595.
20. García-Torres, L., F. López-Granados, M. Jurado-Expósito, and J. Díaz-Sanchez. 1998. The present state of Orobanche spp. infestation in Andalusia and the prospects for its management. Pages 141-145 in Proceedings of the 6th European Weed Research Society Mediterranean Symposium. Montpellier, France: Agro Montpellier.
21. Gerhards, R., D. Y. Wyse-Pester, D. Mortensen, and G. A. Johnson. 1997. Characterizing spatial stability of weed populations using interpolated maps. Weed Sci. 45:108-119.
22. González-Andújar, J. L., A. Martínez-Cob, F. López-Granados, and L. García-Torres. 2001. Spatial distribution and mapping of Orobanche crenata infestation in continuous Vicia faba cropping for six years. Weed Sci. 49:773-779.
23. Heisel, T., C. Andersen, and A. K. Ersbøll. 1996a. Annual weed can be mapped with kriging. Weed Res. 36:325-337.
24. Heisel, T., S. Christensen, and A. M. Walter. 1996b. Weed managing model for patch spraying in cereal. Precision agriculture. Pages 999-1007 in P. C. Robert, R. H. Rust, and W. E. Larson, eds. Proceedings of the 3rd International Conference. Minneapolis, MN: University of Minnesota.
25. Hevesi, J. A., J. D. Istok, and A. L. Flint. 1992. Precipitation estimation in mountains terrain using multivariate geostatistics. Part I: structural analysis. J. Appl. Meteorol. 31:661-676.
26. Hidalgo, B., M. Saavedra, and L. García-Torres. 1990. Weed flora of dryland crop in the Córdoba region (Spain). Weed Res. 30:309-318.
27. Isaaks, E. H. and R. M. Srivastava. 1989. An Introduction to Applied Geostatistics. New York: Oxford University. 561 p.
28. Jiménez-Hidalgo, M. J., M. Saavedra, and L. García-Torres. 1990. Dynamic of Phalaris brachystachys and P. paradoxa populations in winter wheat. Pages 37-43 in Proceedings of the Symposium on Integrated Weed Management in Cereals. Helsinki, Finland: European Weed Research Society.
29. Johnson, G. A., D. A. Mortensen, and C. A. Gotway. 1996. Spatial and temporal analysis of weed seedling populations using geostatistics. Weed Sci. 44:704-710.
30. Journel, A. G. and C. J. Huijbregts. 1978. Mining Geostatistics. London: Academic Press. 600 p.
31. Kristensen, K. and A. K. Ersbøll. 1995. The use of geostatistics methods in variety trials where some variety is unreplicated. Pages 12-16 in Proceedings of the 5th Working Seminar on Statistical Methods in Variety Testing. Zakopane, Poland: Polish Academy of Sciences.
32. Lamb, D. W. and M. Weedon. 1998. Evaluating the accuracy of mapping weeds in fallow fields using airborne digital imaging: Panicum effesum in oilseed rape stubble. Weed Res. 38:443-451.
33. López-Granados, F., M. Jurado-Expósito, S. Atenciano, A. García-Ferrer, M. Sanchez de la Orden, and L. García-Torres. 2003. Spatial variability of agricultural soil parameters in southern Spain. Plant soil 246: 97-105.
34. Marshall, E.J.P. 1988. Field scale estimates of grass weed populations in arable land. Weed Res. 28:191-198.
35. Mortensen, D. A., G. A. Johnson, D. Y. Wyse, and A. R. Martin. 1995. Managing spatially variable weed populations. Pages 397-415 in P. C. Robert, R. H. Rust, and W. E. Larson, eds. Proceedings of the 2nd International Conference on Site Specific Management for Agricultural Systems; March 27-30, 1994; Minneapolis, MN. Madison, WI: American Society for Agronomy.
36. Nordbo, E., S. Christensen, K. Kristensen, and M. Walter. 1994. Patch spraying of weed in cereal crops. Asp. Appl. Biol. 40:325-334.
37. Nordmeyer, H., A. Hausler, and P. Niemann. 1997. Patchy weed control as an approach in precision farming. Pages 307-314 in J. Stafford, ed. Precision Agriculture '97. First European Conference on Precision Agriculture, Warwick, U.K.: Bios Scientific.
38. Nordmeyer, H. and P. Niemann. 1992. Möglichkeiten der gezielten Teilflächenbehandlung mit Herbiziden auf der Grundlage von Unkrautverteilung und Bodenvariabilität. Z. Pflanzenkr. Pflanzenschutz Soderheft XIII:539-547.
39. Pérez, A. J., F. López, J. V. Benlloch, and S. Christensen. 2000. Colour and shape analysis techniques for weed detection in cereal fields. Comput. Electronics Agric. 25:197-212.
40. Renner, K. A. and J. R. Black. 1991. SOYHERB, a computer program for soybean herbicide decision making. Agron. J. 83:921-925.
41. Rew, L. J. and R. D. Cousens. 2001. Spatial distribution of weeds in arable crops: are current sampling and analytical methods appropriate? Weed Res. 41:1-18.
42. Rew, L. J., G. W. Cussans, M. A. Mugglestone, and P.C.H. Miller. 1996. A technique for mapping the spatial distribution of Elymus repens with estimates of the potential reduction in herbicide usage from patch spraying. Weed Res. 36:283-292.
43. Roberts, E. H., F. W. Raulin, and S. J. Fleischer. 1993. Spatial data representation for integrated pest management programs. Am. Entomol. 39:92-107.
44. Saavedra, M., L. García-Torres, E. Hernández-Bermejo, and B. Hidalgo. 1989. Weed flora in the middle valley of Guadalquivir, Spain. Weed Res. 29:167-179.
45. Stigliani, L. and C. Resina. 1993. SELOMA: expert system for weed management in herbicide-intensive crops. Weed Technol. 7:550-559.
46. Streibig, J. C., J. H. Combellack, G. H. Pritchard, and R. G. Richarson. 1989. Estimation of threshold for weed control in Australian Cereals. Weed Res. 29:117-126.
47. Thompson, J. F., J. V. Stafford, and P.C.H. Miller. 1991. Potential for automatic weed detection and selective herbicide application. Crop Prot. 10:254-259.
48. Tian, L., J. F. Reid, and J. W. Hummerl. 1999. Development of a precision sprayer for site-specific weed management. Trans. Am. Soc. Agric. Eng. 42:893-900.
49. Timmermann, C., R. Gerhards, P. Krohmann, M. Sökefeld, and W. Kühbauch. 2001. The economical and ecological impact of the site-specific weed control. Pages 563-568 in G. Grenier and S. Blackmore, eds. Third European Conference on Precision Agriculture. Montpellier, France: Agro Montpellier.
50. Van Groenendael, J. M. 1988. Patchy distribution of weeds and some implications for modeling population dynamics: a short literature review. Weed Res. 28:437-441.
51. Wartenberg, G. and K. H. Dammer. 2001. Site-specific real time application of herbicides in practice. Pages 617-622 in G. Grenier and S. Blackmore, eds. Third European Conference on Precision Agriculture. Montpellier, France: Agro Montpellier.
52. Webster, R. and M. A. Oliver. 2001. Geostatistics For Environmental Scientists. Chichester, U.K.: J. Wiley. pp.11-35; 219-242.
53. Wilkerson, G. G., S. A. Modena, and H. D. Coble. 1991. HERB, a decision model for post-emergence weed control in soybean. Agron. J. 83:413-417.
54. Wilson, B. J. and P. Brain. 1991. Long-term stability of distribution of Alopecurus myosuroides Huds. within cereal fields. Weed Res. 31:367-373.
55. Zanin, G., A. Berti, and L. Riello. 1998. Incorporation of weed spatial variability into the weed control decision-making process. Weed Res. 38:107-118.