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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/74475
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dc.contributor.authorEspasandin, A. C.-
dc.contributor.authorUrioste, J. I.-
dc.contributor.authorNaya, H.-
dc.contributor.authorAlencar, M. M.-
dc.date.accessioned2014-05-27T11:28:18Z-
dc.date.accessioned2016-10-25T18:43:17Z-
dc.date.available2014-05-27T11:28:18Z-
dc.date.available2016-10-25T18:43:17Z-
dc.date.issued2013-02-01-
dc.identifierhttp://dx.doi.org/10.1016/j.livsci.2012.11.015-
dc.identifier.citationLivestock Science, v. 151, n. 2-3, p. 264-270, 2013.-
dc.identifier.issn1871-1413-
dc.identifier.urihttp://hdl.handle.net/11449/74475-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/74475-
dc.description.abstractThe objective of this study was to define production environments by grouping different environmental factors and, consequently, to assess genotype by production environment interactions on weaning weight (WW) in the Angus populations of Brazil and Uruguay. Climatic conditions were represented by monthly temperature means (°C), minimum and maximum temperatures in winter and summer respectively and accumulated rainfall (mm/year). Mode in month of birth and weaning, and calf weight (kg) and age (days) at weaning were used as indicators of management conditions of 33 and 161 herds in 13 and 34 regions in Uruguay and Brazil, respectively. Two approaches were developed: (a) a bi-character analysis of extreme sub-datasets within each environmental factor (bottom and top 33% of regions), (b) three different production environments (including farms from both countries) were defined in a cluster analysis using standardized environmental factors. To identify the variables that influenced the cluster formation, a discriminant analysis was previously carried out. Management (month, age and weight at weaning) and climatic factors (accumulated rainfalls and winter and summer temperatures) were the most important factors in the clustering of farms. Bi or trivariate analyses were performed to estimate heritability and genetic correlations for WW in extreme sub-datasets within environmental factor or between clusters, using MTDFREML software. Heritability estimates of WW in the first approach ranged from 0.27 to 0.54, and genetic correlations between top and bottom sub-datasets within environmental factors, from -0.29 to 0.70. In the cluster approach, heritabilities were 0.58±0.04 for cluster 1, 0.31±0.01 for Cluster 2 and 0.40±0.02 for Cluster 3. Genetic correlations were 0.27±0.08, 0.32±0.09 and 0.33±0.09, between clusters 1 and 2, 1 and 3, and 2 and 3, respectively. Both approaches suggest the existence of genotype x environment interaction for weaning weight in Angus breed of Brazil and Uruguay. © 2012 Elsevier B.V.en
dc.format.extent264-270-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBeef cattle-
dc.subjectCluster-
dc.subjectGenotype×environment interaction-
dc.subjectBos-
dc.titleGenotype×production environment interaction for weaning weight in Angus populations of Brazil and Uruguayen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionCollege of Agriculture-Udelar-Garzón 780-
dc.contributor.institutionInstitut Pasteur Montevideo-Mataojo 2020-
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
dc.description.affiliationDepartment of Animal Science UNESP, Jaboticabal-
dc.description.affiliationDepartment of Animal Production and Pastures College of Agriculture-Udelar-Garzón 780, 12900 Montevideo-
dc.description.affiliationBioinformatics Unit Institut Pasteur Montevideo-Mataojo 2020, Montevideo-
dc.description.affiliationEmbrapa Southeast-Cattle, São Carlos, SP-
dc.description.affiliationUnespDepartment of Animal Science UNESP, Jaboticabal-
dc.identifier.doi10.1016/j.livsci.2012.11.015-
dc.identifier.wosWOS:000314428400021-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLivestock Science-
dc.identifier.scopus2-s2.0-84872390491-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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