Economic Thresholds and the Case for Longer Term Approaches to Population Management of Weeds1

By Randall E. Jones, R. Medd. Weed technology, 2000

111 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, General Agricultural and Biological Sciences, Plant Science

View Paper: https://www.semanticscholar.org/paper/ae6375101262d44ba1dc6c66154c416ad4de396d

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In Agronomy and Crop Science

In General Agricultural and Biological Sciences

In Plant Science

Citations in the corpus

Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations (2012, background): “Some of these practices include cultivar selection (Jordan 1993; Wax and Pendleton 1968), narrow row spacing (Norsworthy and Frederick 2005; Wax and Pendleton 1968), high seeding rates (Norsworthy and Oliver 2001, 2002; Walsh and Powles 2007), adjusting planting dates (Gill and Holmes 1997; Walsh…”
How can we target the weed seedbank? (2006, background): “Instead of solely considering crop yield loss, management should also include strategies that effectively deplete the seedbank reservoir, a goal supported both by ecological (Davis et al. 2003; Jordan 1993b) and economic simulation models (Jones and Medd 2000).”
In-Field Movement of Glyphosate-Resistant Palmer Amaranth (Amaranthus palmeri) and Its Impact on Cotton Lint Yield: Evidence Supporting a Zero-Threshold Strategy (2014, background): “Several differences in the population ecology of weeds and arthropods exist, indicating that economic thresholds can lead to different outcomes in weed management strategies (Jones and Medd 2000; Norris 1999; Swanton et al. 1999; Swanton and Booth 2004).”
''Transgenic treadmill": Responses to the emergence and spread of glyphosate-resistant johnsongrass in Argentina (2009, background): “In that sense, weed control has been equated to weed-free, and field appearance becomes then a major motivation for weed control (Jones and Medd, 2000).”
Genetic improvement and agronomy for enhanced wheat competitiveness with weeds (2001, background): “Bio-economic models are available to help farmers make cost-effective weed management decisions by evaluating the economics of alternative strategies (e.g. Jasieniuk et al. 1999; Jones and Medd 2000).”