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dc.contributor.authorGARCIA, A. O.
dc.contributor.authorOTTO, P. I.
dc.contributor.authorGLATZL JUNIOR, L. A.
dc.contributor.authorROCHA, R. de F. B.
dc.contributor.authorSANTOS, M. G. dos
dc.contributor.authorOLIVEIRA, D. A. de
dc.contributor.authorSILVA, M. V. G. B.
dc.contributor.authorPANETTO, J. C. do C.
dc.contributor.authorMACHADO, M. A.
dc.contributor.authorVERNEQUE, R. da S.
dc.contributor.authorGUIMARÃES, S. E. F.
dc.date.accessioned2023-04-12T10:05:14Z-
dc.date.available2023-04-12T10:05:14Z-
dc.date.created2023-01-18
dc.date.issued2023
dc.identifier.citationJournal of Applied Genetics, v. 64, p. 329-340, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1151052-
dc.descriptionOur objective was to establish a SNPs panel for pedigree reconstruction using microarrays of different densities and evaluate the genomic relationship coefficient of the inferred pedigree, in addition to analyzing the population structure based on genomic analyses in Gir cattle. For parentage analysis and genomic relationship, 16,205 genotyped Gir animals (14,458 females and 1747 males) and 1810 common markers to the four SNP microarrays were used. For population structure analyses, including linkage disequilibrium, effective population size, and runs of homozygosity (ROH), genotypes from 21,656 animals were imputed. Likelihood ratio (LR) approach was used to reconstruct the pedigree, deepening the pedigree and showing it is well established in terms of recent information. Coefficients for each relationship category of the inferred pedigree were adequate. Linkage disequilibrium showed rapid decay. We detected a decrease in the effective population size over the last 50 generations, with the average generation interval around 9.08 years. Higher ROH-based inbreeding coefficient in a class of short ROH segments, with moderate to high values, was also detected, suggesting bottlenecks in the Gir genome. Breeding strategies to minimize inbreeding and avoid massive use of few proven sires with high genetic value are suggested to maintain genetic variability in future generations. In addition, we recommend reducing the generation interval to maximize genetic progress and increase effective population size.
dc.language.isoeng
dc.rightsopenAccess
dc.titlePedigree reconstruction and population structure using SNP markers in Gir cattle.
dc.typeArtigo de periódico
dc.subject.thesagroGado Gir
dc.subject.thesagroBovino
dc.subject.thesagroMarcador Genético
dc.subject.thesagroEndogamia
dc.subject.thesagroDNA
riaa.ainfo.id1151052
riaa.ainfo.lastupdate2023-04-11
dc.identifier.doihttps://doi.org/10.1007/s13353-023-00747-x
dc.contributor.institutionARIELLY OLIVEIRA GARCIA, Universidade Federal de Viçosa; PAMELA ITAJARA OTTO, Universidade Federal de Santa Maria; LUIZ AFONSO GLATZL JUNIOR, Universidade Federal de Juiz de Fora; RENATA DE FÁTIMA BRETANHA ROCHA, Universidade Federal de Viçosa; MATEUS GUIMARÃES DOS SANTOS, Universidade Federal de Viçosa; DANIELE ALVES DE OLIVEIRA, Universidade Federal de Santa Maria; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCO ANTONIO MACHADO, CNPGL; RUI DA SILVA VERNEQUE, CNPGL; SIMONE ELIZA FACIONI GUIMARÃES, Universidade Federal de Viçosa.
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