Augmented p-rep designs

dc.contributor.authorWilliams, Emlyn
dc.contributor.authorPiepho, H.P.
dc.contributor.authorWhitaker, D.
dc.date.accessioned2015-12-10T23:19:30Z
dc.date.issued2011
dc.date.updated2016-02-24T08:10:12Z
dc.description.abstractEarly generation variety trials are very important in plant and tree breeding programs. Typically many entries are tested, often with very little resources available. Unreplicated trials using control plots are popular and it is common to repeat the trials at a number of locations. An alternative is to use p-rep designs, where a proportion of the test entries are replicated at each location; this can obviate the need for control plots. α-Designs are commonly used for replicated variety trials and we show how these can be adapted to produce efficient p-rep designs.
dc.identifier.issn0323-3847
dc.identifier.urihttp://hdl.handle.net/1885/65942
dc.publisherWiley-VCH Verlag GMBH
dc.sourceBiometrical Journal
dc.subjectKeywords: article; breeding; methodology; plant physiology; statistical model; statistics; Breeding; Linear Models; Plant Physiological Phenomena; Research Design a-Designs; Augmented designs; P-rep designs
dc.titleAugmented p-rep designs
dc.typeJournal article
local.bibliographicCitation.issue1
local.bibliographicCitation.lastpage27
local.bibliographicCitation.startpage19
local.contributor.affiliationWilliams, Emlyn, Administrative Division, ANU
local.contributor.affiliationPiepho, H.P., University of Hohenheim
local.contributor.affiliationWhitaker, D., University of Waikato
local.contributor.authoruidWilliams, Emlyn, u4324517
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090701 - Environmental Engineering Design
local.identifier.ariespublicationf2965xPUB1189
local.identifier.citationvolume53
local.identifier.doi10.1002/bimj.201000102
local.identifier.scopusID2-s2.0-78851471511
local.identifier.thomsonID000287211500002
local.type.statusPublished Version

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