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

Published online by Cambridge University Press:  20 January 2017

Montserrat Jurado-Expósito ,
Francisca López-Granados ,
Luis García-Torres ,
Alfonso García-Ferrer ,
Manuel Sánchez de la Orden  and
Silvia Atenciano
Francisca López-Granados
Affiliation:
Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, Córdoba, Spain
Luis García-Torres
Affiliation:
Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, Córdoba, Spain
Alfonso García-Ferrer
Affiliation:
Department of Remote Sensing, University of Córdoba, Avda. Menendez Pidal s/n. 14004, Córdoba, Spain
Manuel Sánchez de la Orden
Affiliation:
Department of Remote Sensing, University of Córdoba, Avda. Menendez Pidal s/n. 14004, Córdoba, Spain
Silvia Atenciano
Affiliation:
Institute for Sustainable Agriculture, CSIC, Apdo. 4084, 14080, Córdoba, Spain
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Abstract

Geostatistical techniques were used to describe and map weed spatial distribution in two sunflower fields in Cabello and Monclova, southern Spain. Data from the study were used to design intermittent spraying strategies. Weed species, overall infestation severity (IS) index, and spatial distribution varied considerably between the two sites. Weed species displayed differences in spatial dependence regardless of IS. The IS mapping of each single weed and of the overall infestation was achieved by kriging, and site-specific application maps were then drawn based on the multi-species weed map and the estimated economic threshold (ET). Herbicide treatment was assumed to be needed for an overall IS score of 2 or 3, and the infested “area exceeding the economic threshold” was determined. The overall weed-infested area varied considerably between locations. About 99 and 38% of the total area was moderately infested (IS ≥ 2) at Monclova and Cabello, respectively. Therefore, if a given herbicide were applied just to the areas exceeding the ET, a significant herbicide saving would be realized in Cabello but not in Monclova. A multi-species spatial analysis provides an opportunity to make site-specific management recommendations from a map of the distribution of IS of the total infestation. Furthermore, only in fields with hard-to-control weed species (e.g., nodding broomrape and corn caraway) would site-specific herbicide application maps developed from total weed infestations need to be complemented with targeted site-specific herbicide treatments to prevent further spread of these species, although their IS might be low.

Keywords

GlyphosateBristly oxtongue, Picris echioides L. PICECcatchweed bedstraw, Gallium aparine L. GALAPcommon lambsquarters, Chenopodium album L. CHEALcorn caraway, Ridolfia segetum Morris, CRYRIcowcockle, Vaccaria pyramidata Medik. VAAPYEuropean heliotrope, Heliotropium europaeum L. HEOEUfield bindweed, Convolvulus arvensis L. CONARlittleseed canarygrass, Phalaris paradoxa L. PHAPAnodding broomrape, Orobanche cernua Loefl. ORACEprostrate knotweed, Polygonum aviculare L. POLAUrapeseed, Brassica napus L.sunflower, Helianthus annuus L.tumble pigweed, Amaranthus albus L. AMAALwild mustard, Sinapis arvensis L. SINAREconomic thresholdgeostatisticskrigingoverall infestationprecision agriculture
Type
Research Article
Information
Weed Science , Volume 51 , Issue 3 , June 2003 , pp. 319 - 328
Copyright
Copyright © Weed Science Society of America 

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