Working in a number of research areas, AHRI has produced a large number of publications which are available to download. View the latest publications below, or search with the filter.
PAM is a bio-economic model focussed on simulations of Palmer amaranth control practices that can be used to control this devastating weed in US crop production farming systems. PAM was produced at the University of Arkansas (M Bagavathiannan now at Texas A & M), particularly involving the program led by Jason Norsworthy.Download PDF
This study was done with an Eleusine indica population originating from Malaysia that evolved resistance to glyphosate. This population was studied by AHRI PhD research student Adam Jalaludin. He established that this population exhibits extremely high-level glyphosate resistance (Jalaludin et al, 2014, Weed Research). Subsequent AHRI mechanistic studies found that this high-level glyphosate resistance is conferred by a double mutation within the EPSPS gene, known as TIPS, 102 Ile/106 Ser (Yu et al, 2015, Plant Physiology). Thus far, this is the only known case of this novel glyphosate resistance endowing double TIPS mutation evolving in weed plants under glyphosate selection.Download PDF
How do spatial heterogeneity and dispersal in weed population models affect predictions of herbicide resistance evolution?
Weed population simulations can be useful to predict the effects of alternative management practices on herbicide resistance (HR) evolution. Almost all previous simulations have ignored the possibility ofwithin-field spatial structure in a weed population, instead making the implicit assumption of perfectdispersal and spatial homogeneity in population density and genetics. The effects of this simplifying assumption have not been examined, despite the fact that dispersal limitations and spatial structure within the population are likely to occur and to affect the evolution of resistance. Therefore, we developed a new spatially-explicit model called SOMER. Click through for more.Download PDF