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Weed Research
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Amaranthus palmeri S. Watson: A new threat to agriculture in Europe and the Mediterranean region

Authors: Maor Matzrafi; Laura Scarabel; Andrea Milani; Duilio Iamonico; Joel Torra; Jordi Recasens; José María Montull; +12 Authors

Amaranthus palmeri S. Watson: A new threat to agriculture in Europe and the Mediterranean region

Abstract

AbstractAmaranthus palmeri S. Watson is a dioecious broad‐leaved species characterised by rapid growth, high seed production, efficient resource use and adaptability to diverse environments and cropping systems. A. palmeri populations are spreading beyond their native range in south western United States, into the Mediterranean region and have been reported in several European and Mediterranean countries. First stands were located along roadsides, and later in nearby agricultural fields. Possible routes of introduction include contaminated animal feed and grain shipments for industrial processing. Some European A. palmeri populations appear to be already resistant to 5‐enolpyruvylshikimate‐3‐phosphate synthase and acetolactate synthase inhibitors when imported. Recent studies suggest that this trait may have evolved in the origin country before the introduction into southern Europe and the wider Mediterranean region. Effective, transboundary networks have to be established between farmers and researchers to raise agricultural community awareness and continuously monitor the invasiveness of A. palmeri in Europe. In this review, we first highlight botanical characteristics that allow accurate identification of A. palmeri from closely related Amaranthus species. Then, we summarise recent reports on the occurrence of A. palmeri in Europe and the Mediterranean region. We proceed to assess future invasion and spread across Europe according to climate and agricultural practices. In addition, we review measures to early detect A. palmeri and emphasised on feasible, chemical and non‐chemical weed control methods as components of integrated weed management to mitigate the impact of A. palmeri invasion on European agriculture.

Countries
Spain, Italy, Spain
Keywords

dioecious; early detection; herbicide resistance; invasive; seed contaminant; weed management, Early detection, Dioecious, Herbicide resistance, herbicide resistance, dioecious, early detection, invasive, seed contaminant, weed management

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%