Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1183769
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dc.contributor.authorJUNQUEIRA, V. S.
dc.contributor.authorCAMPOS, G. S.
dc.contributor.authorCARDOSO, F. F.
dc.date.accessioned2026-01-21T20:16:09Z-
dc.date.available2026-01-21T20:16:09Z-
dc.date.created2026-01-21
dc.date.issued2025
dc.identifier.citationRevista Brasileira de Zootecnia, v. 54, e20240186, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1183769-
dc.descriptionThe INTERGEN package has been under constant development for the last two decades using the Fortran 90/95 programming language. The latest version of INTERGEN includes three different binaries: intergen, intergeniod, and intergenacc. Intergen has been consistently expanded to include the Best Linear Unbiased Prediction (BLUP) genomic module in recent years. The intergeniod and intergenacc binaries are new and aim to estimate genetic merit using iteration on data (IOD) and approximate accuracy. The present study aimed to provide a high-level overview of INTERGEN functionalities and to assess the reliability of the IOD genomic new module included in the intergeniod. Single-step GBLUP (ssGBLUP) models using beef cattle growth and conformation traits were used to estimate breeding values using intergeniod and compared with benchmarking software (intergen). The rank correlation for the breeding values between intergeniod and intergen was equal to the unit. The INTERGEN package can be applied to the genetic analysis of large-scale datasets using intergen, intergeniod, or intergenacc.
dc.language.isoeng
dc.rightsopenAccess
dc.titleIntergen beyond Bayesian and genomics: iteration on data and approximate accuracies capabilities for large-scale genetic analysis in animal and plant breeding.
dc.typeArtigo de periódico
dc.subject.thesagroMétodo de Melhoramento
dc.subject.thesagroSeleção
riaa.ainfo.id1183769
riaa.ainfo.lastupdate2026-01-21
dc.identifier.doihttps://doi.org/10.37496/rbz5420240186
dc.contributor.institutionVINÍCIUS SILVA JUNQUEIRA, BAYER CROP SCIENCE; GABRIEL SOARES CAMPOS, INTERBULL CENTRE; FERNANDO FLORES CARDOSO, CPPSUL.
Aparece nas coleções:Artigo em periódico indexado (CPPSUL)

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