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Descripción
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| New technologies, such as Differential Global Positioning Systems (DGPS) and Geographic Information Systems (GIS), may be useful in order to create models to predict the spatio-temporal behaviour of weeds. The aim of this study was to generate a geometric model able to predict the patch expansion of S. halepense, a problematic perennial weed in maize crops in Central Spain. From previous infestation maps, the model describes new possible spreading areas for the upcoming growing season, and therefore, herbicide treatments can be planned on time. Two different experiments were implemented, in which initial patch density and size were examined. Patches of different size (1, 10 and 100?m2) and density (4, 20 and 100 shoots m?2), were established. These patches were visually identified, their perimeter defined and their density characterized, during three growing seasons (from 2008 to 2010 campaigns). According to this information different descriptors were built: (1) area and density of each patch; (2) the relative growth in width and length, according to space and time and compared with previous years; and (3) the increased density ratio, calculated in relation of patch size and distance to previous patch in the new infestation areas of expansion. | |
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Internacional
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JCR del ISI
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Título de la revista
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Gesunde Pflanzen |
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ISSN
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0367-4223 |
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Factor de impacto JCR
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0,378 |
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Información de impacto
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Volumen
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DOI
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Número de revista
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Desde la página
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73 |
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Hasta la página
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51 |
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Mes
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SIN MES |
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Ranking
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