Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/995749
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dc.contributor.authorMOTA, R. R.pt_BR
dc.contributor.authorTEMPELMAN, R. J.pt_BR
dc.contributor.authorCARDOSO, F. F.pt_BR
dc.contributor.authorAGUILAR, I. G.pt_BR
dc.contributor.authorLOPES, P. S.pt_BR
dc.date.accessioned2014-09-24T11:11:11Zpt_BR
dc.date.available2014-09-24T11:11:11Zpt_BR
dc.date.created2014-09-24pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationIn: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/995749pt_BR
dc.descriptionThe objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Fivefold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.pt_BR
dc.format1 CD-ROM.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2014-09-24T11:11:11Zpt_BR
dc.subject.thesagroGado de cortept_BR
riaa.ainfo.id995749pt_BR
riaa.ainfo.lastupdate2014-09-24pt_BR
dc.contributor.institutionRodrigo Reis Mota, Michigan State University; Robert John Tempelman, Michigan State University; FERNANDO FLORES CARDOSO, CPPSUL; I. G. AGUILAR, INIA; Paulo Sávio Lopes, UFV.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CPPSUL)

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