Statistical and Economic Techniques for Site-specific Nematode Management

Zheng Liu; Terry Griffin; Terrence L Kirkpatrick

Statistical and Economic Techniques for Site-specific Nematode Management

J Nematol. 2014 Mar;46(1):12-7.

Authors

Zheng Liu¹, Terry Griffin², Terrence L Kirkpatrick³

Affiliations

¹ Yunnan University of Finance and Economics, Kunming, Yunnan, P.R.China, 650221.
² Cresco Ag LLC, Memphis, TN 38103.
³ University of Arkansas, Southwest Research and Extension Center, Hope, AR 71801.

PMID: 24643451
PMCID: PMC3957567

Abstract

Recent advances in precision agriculture technologies and spatial statistics allow realistic, site-specific estimation of nematode damage to field crops and provide a platform for the site-specific delivery of nematicides within individual fields. This paper reviews the spatial statistical techniques that model correlations among neighboring observations and develop a spatial economic analysis to determine the potential of site-specific nematicide application. The spatial econometric methodology applied in the context of site-specific crop yield response contributes to closing the gap between data analysis and realistic site-specific nematicide recommendations and helps to provide a practical method of site-specifically controlling nematodes.

Keywords: nematode management; precision agriculture; site-specific techniques; spatial autocorrelation; spatial econometrics; yield response function.