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The Stability of Weed Seedling Population Models and Parameters in Eastern Nebraska Corn (Zea mays) and Soybean (Glycine max) Fields

Published online by Cambridge University Press:  12 June 2017

Gregg A. Johnson ,
David A. Mortensen ,
Linda J. Young  and
Alex R. Martin
Gregg A. Johnson
Affiliation:
Dep. Agron., Univ. Nebraska, Lincoln, NE 68583-0915
David A. Mortensen
Affiliation:
Dep. Agron., Univ. Nebraska, Lincoln, NE 68583-0915
Linda J. Young
Affiliation:
Dep. Biom., Univ. Nebraska, Lincoln, NE 68583-0915
Alex R. Martin
Affiliation:
Dep. Agron., Univ. Nebraska, Lincoln, NE 68583-0915
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Abstract

Intensive field surveys were conducted in eastern Nebraska to determine the frequency distribution model and associated parameters of broadleaf and grass weed seedling populations. The negative binomial distribution consistently fit the data over time (1992 to 1993) and space (fields) for both the inter and intrarow broadleaf and grass weed seedling populations. The other distributions tested (Poisson with zeros, Neyman type A, logarithmic with zeros, and Poisson-binomial) did not fit the data as consistently as the negative binomial distribution. Associated with the negative binomial distribution is a k parameter. k is a nonspatial aggregation parameter related to the variance at a given mean value. The k parameter of the negative binomial distribution was consistent across weed density for individual weed species in a given field except for foxtail spp. populations. Stability of the k parameter across field sites was assessed using the likelihood ratio test There was no stable or common k value across field sites and years for all weed species populations. The lack of stability in k across field sites is of concern, because this parameter is used extensively in the development of parametric sequential sampling procedures. Because k is not stable across field sites, k must be estimated at the time of sampling. Understanding the variability in it is critical to the development of parametric sequential sampling strategies and understanding the dynamics of weed species in the field.

Keywords

Corn, Zea mays L.soybean, Glycine max L. Merr.Negative binomial distributionk parameterlikelihood ratio testsampling strategies
Type
Weed Biology and Ecology
Information
Weed Science , Volume 43 , Issue 4 , December 1995 , pp. 604 - 611
Copyright
Copyright © 1995 by the Weed Science Society of America 

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