Literature DB >> 18943080

Meta-analysis in plant pathology: synthesizing research results.

M S Rosenberg, K A Garrett, Z Su, R L Bowden.   

Abstract

ABSTRACT Meta-analysis is a set of statistical procedures for synthesizing research results from a number of different studies. An estimate of a statistical effect, such as the difference in disease severity for plants with or without a management treatment, is collected from each study along with a measure of the variance of the estimate of the effect. Combining results from different studies will generally result in increased statistical power so that it is easier to detect small effects. Combining results from different studies may also make it possible to compare the size of the effect as a function of other predictor variables such as geographic region or pathogen species. We present a review of the basic methodology for meta-analysis. We also present an example of meta-analysis of the relationship between disease severity and yield loss for foliar wheat diseases, based on data collected from a decade of fungicide and nematicide test results.

Entities:  

Year:  2004        PMID: 18943080     DOI: 10.1094/PHYTO.2004.94.9.1013

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  7 in total

1.  A meta-analysis of soil microbial biomass responses to forest disturbances.

Authors:  Sandra R Holden; Kathleen K Treseder
Journal:  Front Microbiol       Date:  2013-06-20       Impact factor: 5.640

Review 2.  A Meta-Analysis to Determine the State of Biological Control of Aphanomyces Root Rot.

Authors:  Ashebir T Godebo; Naomi Marie J Wee; Christopher K Yost; Fran L Walley; James J Germida
Journal:  Front Mol Biosci       Date:  2022-02-02

3.  An HLD Model for Tomato Bacterial Canker Focusing on Epidemics of the Pathogen Due to Cutting by Infected Scissors.

Authors:  Akira Kawaguchi; Shoya Kitabayashi; Koji Inoue; Koji Tanina
Journal:  Plants (Basel)       Date:  2022-08-30

4.  Temperature effects on pitfall catches of epigeal arthropods: a model and method for bias correction.

Authors:  Pavel Saska; Wopke van der Werf; Lia Hemerik; Martin L Luff; Timothy D Hatten; Alois Honek; Michael Pocock
Journal:  J Appl Ecol       Date:  2012-12-17       Impact factor: 6.528

5.  Biological control of crown gall on grapevine and root colonization by nonpathogenic Rhizobium vitis strain ARK-1.

Authors:  Akira Kawaguchi
Journal:  Microbes Environ       Date:  2013-05-24       Impact factor: 2.912

6.  Meta-analysis Reveals That the Genus Pseudomonas Can Be a Better Choice of Biological Control Agent against Bacterial Wilt Disease Caused by Ralstonia solanacearum.

Authors:  Murugesan Chandrasekaran; Dharaneedharan Subramanian; Ee Yoon; Taehoon Kwon; Se-Chul Chun
Journal:  Plant Pathol J       Date:  2016-06-01       Impact factor: 1.795

7.  Biological control for grapevine crown gall using nonpathogenic Rhizobium vitis strain ARK-1.

Authors:  Akira Kawaguchi; Koji Inoue; Koji Tanina; Mizuho Nita
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2017       Impact factor: 3.493

  7 in total

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