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Spatial Distribution of Broadleaf Weeds in North Carolina Soybean (Glycine max) Fields

Published online by Cambridge University Press:  12 June 2017

Lori J. Wiles ,
Glenn W. Oliver ,
Alan C. York ,
Harvey J. Gold  and
Gail G. Wilkerson
Lori J. Wiles
Affiliation:
Dep. Crop Sci., North Carolina State Univ., Raleigh, NC 27695
Glenn W. Oliver
Affiliation:
Dep. Crop Sci., North Carolina State Univ., Raleigh, NC 27695
Alan C. York
Affiliation:
Dep. Crop Sci., North Carolina State Univ., Raleigh, NC 27695
Harvey J. Gold
Affiliation:
Dep. Statistics, North Carolina State Univ., Raleigh, NC 27695
Gail G. Wilkerson
Affiliation:
Dep. Crop Sci., North Carolina State Univ., Raleigh, NC 27695
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Abstract

Spatial distribution of broadleaf weeds within 14 North Carolina soybean fields was characterized by fitting negative binomial distributions to frequency distributions of weed counts in each field. In most cases, the data could be represented by a negative binomial distribution. Estimated values of the parameter K of this distribution were small, often less than one, indicating a high degree of patchiness. The data also indicated that the population as a whole was patchy. Counts of individual species were positively correlated with each other in some fields and total weed count could be represented by a negative binomial for 12 of the 14 fields.

Keywords

SoybeanGlycine max (L.) MerrWeed patchinessweed spatial distributionnegative binomialspatial dispersion
Type
Weed Biology and Ecology
Information
Weed Science , Volume 40 , Issue 4 , December 1992 , pp. 554 - 557
Copyright
Copyright © 1992 by the Weed Science Society of America 

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