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Predicting weed emergence for eight annual species in the northeastern United States

Published online by Cambridge University Press:  20 January 2017

Matthew W. Myers ,
William S. Curran ,
Mark J. VanGessel ,
Dennis D. Calvin ,
David A. Mortensen ,
Bradley A. Majek ,
Heather D. Karsten  and
Gregory W. Roth
William S. Curran
Affiliation:
Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, PA 16802
Mark J. VanGessel
Affiliation:
Plant and Soil Sciences Department, University of Delaware, Research and Education Center, Georgetown, DE 19947
Dennis D. Calvin
Affiliation:
Department of Entomology, The Pennsylvania State University, University Park, PA 16802
David A. Mortensen
Affiliation:
Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, PA 16802
Bradley A. Majek
Affiliation:
Rutgers Agricultural Research and Extension Center, Rutgers University, Bridgeton, NJ 08032
Heather D. Karsten
Affiliation:
Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, PA 16802
Gregory W. Roth
Affiliation:
Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, PA 16802
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Abstract

A 2-yr experiment assessed the potential for using soil degree days (DD) to predict cumulative weed emergence. Emerged weeds, by species, were monitored every 2 wk in undisturbed plots. Soil DD were calculated at each location using a base temperature of 9 C. Weed emergence was fit with logistic regression for common ragweed, common lambsquarters, velvetleaf, giant foxtail, yellow foxtail, large crabgrass, smooth pigweed, and eastern black nightshade. Coefficients of determination for the logistic models fit to the field data ranged between 0.90 and 0.95 for the eight weed species. Common ragweed and common lambsquarters were among the earliest species to emerge, reaching 10% emergence before 150 DD. Velvetleaf, giant foxtail, and yellow foxtail were next, completing 10% emergence by 180 DD. The last weeds to emerge were large crabgrass, smooth pigweed, and eastern black nightshade, which emerged after 280 DD. The developed models were verified by predicting cumulative weed emergence in adjacent plots. The coefficients of determination for the model verification plots ranged from 0.66 to 0.99 and averaged 0.90 across all eight weed species. These results suggest that soil DD are good predictors for weed emergence. Forecasting weed emergence will help growers make better crop and weed management decisions.

Keywords

Common lambsquarters, Chenopodium album L. CHEALcommon ragweed, Ambrosia artemisiifolia L. AMBELeastern black nightshade, Solanum ptycanthum Dun. SOLPTgiant foxtail, Setaria faberi Herrm. SETFAlarge crabgrass, Digitaria sanguinalis (L.) Scop. DIGSAsmooth pigweed, Amaranthus hybridus L. AMACHvelvetleaf, Abutilon theophrasti Medikus ABUTHyellow foxtail, Setaria glauca (L.) Beauv. SETLUSoil degree daysweed competitionweed emergence models

Information

Type
Weed Biology and Ecology
Information
Weed Science , Volume 52 , Issue 6 , December 2004 , pp. 913 - 919
Copyright
Copyright © Weed Science Society of America 

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