2006
DOI: 10.1007/s10681-006-5941-9
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Continuous cropping systems and weed selection

Abstract: Changes in the weed flora of agro-ecosystems can occur as long-term changes or temporary fluctuations in species composition. The rate at which weed population shifts occur depends on the selection pressure imposed, genetic variability among weed populations, plant characteristics and environmental factors. Agronomic practices associated with cropping systems including crop rotation, tillage, herbicide use, soil amendments, and mechanization of harvesting that impart a range of selection pressures on weed popu… Show more

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Cited by 82 publications
(65 citation statements)
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“…Thought confirmed by Murphy and Lemerle (2006) the presence of weeds in a cultivated plot and depends on the action of agronomic practices and environmental factors. Supplemented by Koocheki (2009) showed that the inversion of the weed flora gold rotation beet and winter wheat.…”
Section: Discussionmentioning
confidence: 98%
“…Thought confirmed by Murphy and Lemerle (2006) the presence of weeds in a cultivated plot and depends on the action of agronomic practices and environmental factors. Supplemented by Koocheki (2009) showed that the inversion of the weed flora gold rotation beet and winter wheat.…”
Section: Discussionmentioning
confidence: 98%
“…Fertilization affects not only the growth of crop but also on weed population [14] [15] [16]. Previous studies have been demonstrated that fertilization can significantly affect weed community composition, density and diversity [17] [18] [19].…”
Section: N N Than Et Almentioning
confidence: 99%
“…It is known that the occurrence of weeds and the composition of weed communities are determined by a large number of factors that are partly interrelated (Kenkel et al 2002;Murphy and Lemerle 2006). The identification of complex patterns in the data requires statistical approaches that master the simultaneous observation and analysis of more than one depending variable and therefore are called multivariate statistics.…”
Section: Multivariate Statisticsmentioning
confidence: 99%