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Weed reproduction model parameters may be estimated from crop yield loss data

Published online by Cambridge University Press:  20 January 2017

Stephen R. Canner,
Lori J. Wiles and
Gregory S. McMaster
Lori J. Wiles
Affiliation:
Water Management Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Agricultural Engineering Research Center, Colorado State University, Fort Collins, CO 80523-1325
Gregory S. McMaster
Affiliation:
Great Plains Systems Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Room 353, 301 South Howes Street, Fort Collins, CO 80522
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Abstract

Studies quantifying weed seed production as a function of weed density are expensive and difficult, and lack of these data is a common limitation in modeling weed population dynamics over time. Observed empirical and theoretical relationships between crop yield loss curves and weed seed production curves led us to the hypothesis that there should be a strong relationship between the shapes of these two curves. Data from literature sources were evaluated to test this hypothesis for hyperbolic curves and to determine if the data describing the crop yield loss caused by weeds could provide estimates of the shape parameter of a hyperbolic equation for describing density dependence in weed reproduction. For each of 162 data sets, a shape parameter (N50) and a scale parameter (U) were estimated for an increasing hyperbolic model both for absolute crop yield loss as a function of weed density (N50YL, U YL) and for weed yield (either total biomass yield or seed yield) as a function of weed density (N50WY, U WY). N50YL was strongly correlated with N50WY across all data sets, with an apparent 1:1 relationship between the two. This relationship suggests that the shape parameter of the yield loss model may substitute for the shape parameter of a hyperbolic model describing the density-dependence of weed seed production. This substitution will be most useful in weed population modeling situations where data describing crop yield loss as a function of weed density are already available, but data describing weed seed production as a function of weed density are not available.

Keywords

black medic, Medicago lupulina L. MEDLUcatchweed bedstraw, Galium aparine L. GALAPcorn poppy, Papaver rhoeas L. PAPRHdowny brome, Bromus tectorum L. BROTEfield violet, Viola arvensis Murr. VIOARgiant foxtail, Setaria faberi Herrm. SETFAkochia, Kochia scoparia (L.) Schrad. KCHSCround-leaved mallow, Malva pusilla L. MALNEwild oat, Avena fatua L. AVEFAbarley, Hordeum vulgare L.chili, Capsicum annuum L.dry bean, Phaseolus vulgaris L.field pea, Pisum sativum L.maize, Zea mays L.peanut, Arachis hypogaea L.rye, Secale cereale L.safflower, Carthamus tinctorius L.soybean, Glycine max L.sugarbeet, Beta vulgaris L.sunflower, Helianthus annuus L.tomato, Lycopersicon esculentum Mill.wheat, Triticum aestivum L.Competitionhyperbolic modelsinterferencepopulation dynamicsseed productionyield loss

Information

Type
Research Article
Information
Weed Science , Volume 50 , Issue 6 , December 2002, pp. 763 - 772
Copyright
Copyright © Weed Science Society of America 

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