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Analyses of on-farm and augmented trials with mixed model ANOVA

dc.contributor.authorKorie, S.
dc.contributor.authorOkechukwu, R.
dc.date.accessioned2019-12-04T11:21:16Z
dc.date.available2019-12-04T11:21:16Z
dc.date.issued2000
dc.identifier.citationKorie, S. & Okechukwu, R. (2000). Analyses of on-farm and augmented trials with Mixed Model ANOVA. In Proceedings of the SUSAN-IBS scientific workshop,"Biometry and Quality of Life", 23-28 August, 1999, Ibadan, Nigeria: IITA, (p. 74-83).
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3725
dc.description.abstractMixed Model procedure is used in the modeling and estimation of treatment efforts and variance components. It extends the generalized linear model (ordinary ANOVA) by avoiding the restrictive assumption of the error terms in ANOVA through the incorporation of the variance-covariance structure of all random terms. The mixed model procedure uses generalized least squares rather than the ordinary least squares, and estimates from mixed procedure are always better than those from the generalized linear model. The implementation of mixed model in SAS provides a powerful and flexible tool for analysing a wide range of data, including - the analysis of repeated measures, the analysis of spatially correlated data, the analysis of non-orthogonal designed experiments, and analysis of multilevel or hierarchical data (e.g. as in. on-farm trials). This paper looks at the two most important designs used in on-farm trials, 1) nested (hierarchical) design, and 2) augmented block design, and presents SAS programs useful for analysing data resulting from these designs.
dc.language.isoen
dc.subjectAugmented Design
dc.subjectMixed Model
dc.subjectNested Design
dc.subjectOn-Farm Trials
dc.subjectVariance Components
dc.subjectSas Program
dc.titleAnalyses of on-farm and augmented trials with mixed model ANOVA
dc.typeConference Paper
dc.description.versionPeer Review
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryBenin
cg.coverage.countryNigeria
cg.authorship.typesCGIAR single centre
cg.iitasubjectSmallholder Farmers
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectFarm Management
cg.iitasubjectDiseases Control
cg.iitasubjectAgribusiness
cg.iitasubjectGenetic Improvement
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectLivelihoods
cg.iitasubjectHandling, Transport, Storage And Protection Of Agricultural Products
cg.accessibilitystatusLimited Access
local.dspaceid95880


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