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Economics of Weed Management in Glufosinate-Resistant Corn (Zea mays L.)1

Published online by Cambridge University Press:  20 January 2017

Pauley R. Bradley ,
William G. Johnson ,
Stephen E. Hart ,
Michelle L. Buesinger  and
Raymond E. Massey
Pauley R. Bradley
Affiliation:
Department of Agronomy, University of Missouri, Columbia, MO 65211
William G. Johnson*
Affiliation:
Department of Agronomy, University of Missouri, Columbia, MO 65211
Stephen E. Hart
Affiliation:
Department of Crop Sciences, University of Illinois, Urbana, IL 61801
Michelle L. Buesinger
Affiliation:
Department of Crop Sciences, University of Illinois, Urbana, IL 61801
Raymond E. Massey
Affiliation:
Department of Agricultural Economics, University of Missouri, Columbia, MO 65211
*
Corresponding author's E-mail: johnsonwg@missouri.edu.
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Abstract

Field experiments were conducted in 1997 and 1998 near Columbia and Novelty, MO, and at Urbana, IL, to evaluate corn injury, weed control, corn yield, and estimated economic returns with weed management programs in glufosinate-resistant corn. Herbicide programs included acetochlor preemergence (PRE) followed by glufosinate alone or with atrazine postemergence (POST) and total POST programs consisting of single and sequential applications of glufosinate alone or tank mixed with acetochlor, atrazine, or acetochlor plus atrazine. Metolachlor PRE followed by dicamba plus atrazine early POST (EPOST) and metolachlor plus atrazine PRE were included for comparison. In the total POST treatments, mid-POST applications controlled shattercane and common cocklebur better than EPOST applications. However, yield reductions as high as 23% occurred because of early-season weed interference, although weeds were controlled later in the season. Applying atrazine with glufosinate generally increased control of giant foxtail, common cocklebur, morningglory species, and common waterhemp compared to glufosinate alone, but did not increase control of common lambsquarters, velvetleaf, or Pennsylvania smartweed. Corn yield was positively correlated with weed control (r = 0.88) and more strongly dependent on grass (r = 0.82) than broadleaf (r = 0.70) weed control. Net incomes were positively correlated to corn yield (r = 0.73). Four of the top six net income-producing treatments included two herbicide applications. Three of the treatments were PRE followed by POST programs, and the fourth was a sequential POST treatment of glufosinate.

Keywords

Acetochloratrazinedicambaglufosinatemetolachlorcommon cocklebur, Xanthium strumarium L. #3 XANSTcommon lambsquarters, Chenopodium album L. # CHEALcommon waterhemp, Amaranthus rudis Sauer # AMATAgiant foxtail, Setaria faberi (L.) Herrm. # SETFAmorningglory, Ipomoea sppPennsylvania smartweed, Polygonum pensylvanicum L. # POLPYshattercane, Sorghum bicolor (L.) Moench. # SORVUvelvetleaf, Abutilon theophrasti (L.) Medikus # ABUTHcorn, Zea mays L. # ZEAMX ‘Pioneer 34A55’Corn yieldeconomic returnsglufosinate-resistant cropAMATAABUTHCHEALPOLPYSETFASORVUXANSTZEAMXALS, acetolactate synthaseCV, coefficient of variationEPOST, early postemergenceMPOST, mid-postemergencePOST, postemergencePRE, preemergenceWAT, weeks after treatment
Type
Research Article
Information
Weed Technology , Volume 14 , Issue 3 , September 2000 , pp. 495 - 501
Copyright
Copyright © Weed Science Society of America 

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