Journal article

instaGraminoid, a Novel Colorimetric Method to Assess Herbicide Resistance, Identifies Patterns of Cross-Resistance in Annual Ryegrass

Jefferson F Paril, Alexandre J Fournier-Level

PLANT PHENOMICS | AMER ASSOC ADVANCEMENT SCIENCE | Published : 2019

Abstract

Herbicide resistance in agricultural weeds is a global problem with an increasing understanding that it is caused by multiple genes leading to quantitative resistance. These quantitative patterns of resistance are not easy to decipher with mortality assays alone, and there is a need for straightforward and unbiased protocols to accurately assess quantitative herbicide resistance. instaGraminoid-a computer vision and statistical analysis package-was developed as an automated and scalable method for quantifying herbicide resistance. The package was tested in rigid ryegrass (Lolium rigidum), the most noxious and highly resistant weed in Australia and the Mediterranean region. This method provid..

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Grants

Funding Acknowledgements

The authors extend their appreciation to Andrew Driscoll, Ashley Amouragis, and Zoe Creelman at Southern Farming Systems (SFS) for their assistance during seed collection, as well as to Benjamin Camm, Olivia Keegan, and Steve Elefteriadis for their support in phenotyping. This study was partially funded by the Computational Biology Research Initiative (CBRI) of the University of Melbourne, Australia.