📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A generalised individual-based algorithm for modelling the evolution of quantitative herbicide resistance in arable weed populations A generalised modelling framework for quantitative herbicide resistance (2017)

First Author: Liu C

Attributed to: Multiple Herbicide Resistance in Grass Weeds: from Genes to AgroEcosystems funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/ps.4317

PubMed Identifier: 27174645

Publication URI: http://europepmc.org/abstract/MED/27174645

Type: Journal Article/Review

Parent Publication: Pest Management Science

Issue: 2

ISSN: 1526-498X