Modeling Glyphosate Resistance Management Strategies for Palmer Amaranth (Amaranthus palmeri) in Cotton
By P. Neve, J. Norsworthy, Kenneth L. Smith, Ivan Zelaya. 2011
88 citations recorded by the source corpus.
Subfields: Plant Science, Pollution
View Paper: https://www.semanticscholar.org/paper/7b2fcea7423dc97cfd9c76a7c7805160a1794eaa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Plant Science
- J. Norsworthy
- T. Webster
- Stephen Powles
- Robert L. Nichols
- N. Burgos
- R. Llewellyn
- Muthukumar Bagavathiannan
- W. G. Johnson
In Pollution
- J. Norsworthy
- T. Webster
- Robert L. Nichols
- C. Mallory-Smith
- Sarah M. Ward
- N. Burgos
- David R. Shaw
- W. G. Johnson
Citations in the corpus
- Crop Diversification for Improved Weed Management: A Review (2021, methodology): “For example, modeling simulations have been shown to reduce glyphosate resistance in Palmer amaranth by two-fold if glyphosate-tolerant (GR) cotton is rotated with GR corn [74].”
- Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations (2012, methodology): “Maintaining low weed-seed numbers in the soil seedbank reduces the number of plants that will be exposed to future herbicide treatment and can substantially reduce resistance risk (Neve et al. 2011a).”
- Herbicide Resistance: Toward an Understanding of Resistance Development and the Impact of Herbicide-Resistant Crops (2012, methodology): “Those models serve as a guideline for developing resistancemanagement strategies and also point to research needs for understanding and mitigating herbicide resistance (Neve et al. 2011).”
- Late-Season Seed Production in Arable Weed Communities: Management Implications (2012, background): “In this respect, modeling works have confirmed that production fields with high weed seedbank levels pose greater risks for the evolution of herbicide-resistant weeds compared with fields characterized by a good weed management history (Bagavathiannan et al. 2011b; Neve et al. 2011).”