Eric Koetz
Charles Sturt University
23 Papers
230 Citations
Eric Koetz is an academic researcher from Charles Sturt University. The author has contributed to research in topics: Weed & Weed control. The author has an hindex of 11, co-authored 20 publications.
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Papers
•Journal Article
Herbicide resistance levels in annual ryegrass (Lolium rigidum Gaud.) in southern New South Wales.
TL;DR: The rapid increase in the incidence of herbicide resistance in annual ryegrass, particularly in Group A and Group B herbicides, highlights the importance of adopting an integrated approach in weed management.
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Soil labile carbon and nitrogen pools and microbial metabolic diversity under winter crops in an arid environment
TL;DR: In this paper, eight winter cover crop treatments were used to investigate their effects on soil labile organic carbon (C) and nitrogen (N) pools and microbial metabolic profiles and diversity in temperate Australia.
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Weed management in wide-row cropping systems: a review of current practices and risks for Australian farming systems.
Sally Peltzer,Abul Hashem,V. A. Osten,Madan Gupta,Art Diggle,G.P. Riethmuller,A. Douglas,J.M. Moore,Eric Koetz +8 more
TL;DR: Growing agricultural crops in wide row spacings has been widely adopted to conserve water, to control pests and diseases, and to minimise problems associated with sowing into stubble to bring risks of herbicide resistance, species shifts and/or changes in species dominance, crop damage, increased costs, yield losses, and more expensive weed management technology.
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•Journal Article
Herbicide resistance levels in annual ryegrass ('Lolium rigidum' Gaud.) and wild oat (avena spp.) in southwestern New South Wales
TL;DR: Resistance levels for both ryegrass and wild oat in this survey were lower than reported for a 2007 survey to the immediate east, and highlight the importance of adopting an integrated approach to weed management.
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Competitive ability of Australian canola (Brassica napus) genotypes for weed management
TL;DR: Canola biomass at flowering was generally reduced 50% more in the presence of the strongly competitive genotypes than the least competitive, and this has significant benefits for lower weed seed production and reduced seedbank replenishment.
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