Show simple item record

dc.contributorCooper, M.en_US
dc.contributorDeLacy, I.Hen_US
dc.contributorCeccarelli, Salvatoreen_US
dc.contributorGrando, Stefaniaen_US
dc.creatorvan Eeuwijk, Freden_US
dc.identifier.citationFred van Eeuwijk, M. Cooper, I. H DeLacy, Salvatore Ceccarelli, Stefania Grando. (1/12/2001). Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials. Euphytica, 122, pp. 477-490.en_US
dc.description.abstractFor the improvement of genetic material suitable for on farm use under low-input conditions, participatory and formal plant breeding strategies are frequently presented as competing options. A common frame of reference to phrase mechanisms and purposes related to breeding strategies will facilitate clearer descriptions of similarities and differences between participatory plant breeding and formal plant breeding. In this paper an attempt is made to develop such a common framework by means of a statistically inspired language that acknowledges the importance of both on farm trials and research centre trials as sources of information for on farm genetic improvement. Key concepts are the genetic correlation between environments, and the heterogeneity of phenotypic and genetic variance over environments. Classic selection response theory is taken as the starting point for the comparison of selection trials (on farm and research centre) with respect to the expected genetic improvement in a target environment (low-input farms). The variance-covariance parameters that form the input for selection response comparisons traditionally come from a mixed model fit to multi-environment trial data. In this paper we propose a recently developed class of mixed models, namely multiplicative mixed models, also called factor-analytic models, for modelling genetic variances and covariances (correlations). Mixed multiplicative models allow genetic variances and covariances to be dependent on quantitative descriptors of the environment, and confer a high flexibility in the choice of variance-covariance structure, without requiring the estimation of a prohibitively high number of parameters. As a result detailed considerations regarding selection response comparisons are facilitated. The statistical machinery involved is illustrated on an example data set consisting of barley trials from the International Center for Agricultural Research in the Dry Areas (ICARDA). Analysis of the example data showed that participatory plant breeding and formal plant breeding are better interpreted as providing complementary rather than competing information.en_US
dc.publisherSpringer (part of Springer Nature)en_US
dc.sourceEuphytica;122,(2001) Pagination 477-490en_US
dc.subjectmulti-environment trialsen_US
dc.subjectgenotype by environment interactionen_US
dc.subjectmixed modelsen_US
dc.subjectcorrelated responseen_US
dc.subjectfactor-analytic modelen_US
dc.subjectformal plant breedingen_US
dc.subjectheterogeneity of varianceen_US
dc.titleSome vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trialsen_US
dc.typeJournal Articleen_US
cg.subject.agrovocgenetic varianceen_US
cg.subject.agrovocparticipatory plant breedingen_US
cg.subject.agrovocgenetic correlationen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerWageningen University & Research Centre - WURen_US
cg.contributor.centerUniversity of Queensland - UQen_US
cg.contributor.centerPioneer Hi-Breed International Inc.en_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.isijournalISI Journalen_US
dc.identifier.statusTimeless limited accessen_US

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

DSpace software copyright © 2002-2016  DuraSpace
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV