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A Field Method for Predicting Yield Losses in Maize Caused by Johnsongrass (Sorghum halepense)

Published online by Cambridge University Press:  12 June 2017

Claudio M. Ghersa  and
Maria A. Martinez-Ghersa
Claudio M. Ghersa
Affiliation:
Oregon State Univ., Corvallis, OR 97331-5705
Maria A. Martinez-Ghersa
Affiliation:
Oregon State Univ., Corvallis, OR 97331-5705
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Abstract

The objective of this research was to modify the senior author's previously developed method for predicting yield losses in maize crops attributable to johnsongrass. The new method is based on the following assumptions: a) relative leaf frequency determines relative biomass; b) total biomass is constant despite the crop/weed ratio; and c) biomass, and therefore leaf frequency, are related to grain yield. Experiments in Argentina from 1986 to 1989 supported the above hypotheses, and the new method was more accurate than the old for predicting relative species biomass in johnsongrass/maize mixtures. Maize grain yield reductions associated with weed interference were also more accurately predicted.

Keywords

Maize, Zea mays L.johnsongrass, Sorghum halepense (L.) Pers. ♯ SORHAJohnsongrassyield lossesprediction
Type
Research
Information
Weed Technology , Volume 5 , Issue 2 , June 1991 , pp. 279 - 285
Copyright
Copyright © 1991 Weed Science Society of America 

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