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Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
22/04/2010 |
Data da última atualização: |
22/04/2010 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
MENDES, C. I. C.; TEIXEIRA, S. R. |
Afiliação: |
CASSIA ISABEL COSTA MENDES, CNPTIA; SERGIO RUSTICHELLI TEIXEIRA, CNPGL. |
Título: |
Controle da produção leiteira e a demanda por sistemas computacionais simples. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 7., 2009, Viçosa. Anais... Viçosa: UFV, 2009. |
Idioma: |
Português |
Palavras-Chave: |
Laticinios. |
Thesagro: |
Agricultura. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 00470naa a2200145 a 4500 001 1697239 005 2010-04-22 008 2009 bl --- 0-- u #d 100 1 $aMENDES, C. I. C. 245 $aControle da produção leiteira e a demanda por sistemas computacionais simples. 260 $c2009 650 $aAgricultura 653 $aLaticinios 700 1 $aTEIXEIRA, S. R. 773 $tIn: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 7., 2009, Viçosa. Anais... Viçosa: UFV, 2009.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
08/12/2020 |
Data da última atualização: |
08/12/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CARDOSO, D. F.; FERNANDES JÚNIOR, G. A.; SCALEZ, D. C. B.; ALVEZ, A. A. C.; MAGALHÃES, A. F. B.; BRESOLIN, T.; VENTURA, R. V.; LI, C.; OLIVEIRA, M. C. de S.; PORTO NETO, L. R.; CARVALHEIRO, R.; OLIVEIRA, H. N. de; TONHATI, H.; ALBUQUERQUE, L. G. |
Afiliação: |
Diercles Francisco Cardoso, UNESP; Gerardo Alves Fernandes Júnior, UNESP; Daiane Cristina Becker Scalez, UNESP; Anderson Antonio Carvalho Alves, UNESP; Ana Fabrícia Braga Magalhães, UNESP; Tiago Bresolin, UNESP; Ricardo Vieira Ventura, USP; Changxi Li, University of Alberta; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; Laercio Ribeiro Porto-Neto, CSIRO; Roberto Carvalheiro, UNESP; Henrique Nunes de Oliveira, UNESP; Humberto Tonhati, UNESP; Lucia Galvão Albuquerque, UNESP. |
Título: |
Uncovering sub-structure and genomic profiles in across-countries subpopulations of Angus Cattle. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Scientific Reports, v. 10, article 8770, 2020. |
Páginas: |
11 p. |
DOI: |
https://doi.org/10.1038/s41598-020-65565-1 |
Idioma: |
Inglês |
Conteúdo: |
Highlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N?= 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via FST and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77?65.25 Mb) and 14 (22.81?23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with FST and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomic similarity between Angus subpopulations, with noticeable signals of divergent selection in genomic regions associated with the adaptation in different environments. MenosHighlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N?= 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via FST and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77?65.25 Mb) and 14 (22.81?23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with FST and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomi... Mostrar Tudo |
Palavras-Chave: |
Autozygosity islands; FST; Overall genomic diversity; Rather similar across; ROH islands; VarLD signals. |
Thesaurus NAL: |
Angus. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/218925/1/UncoveringSubStructure.pdf
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Marc: |
LEADER 02787naa a2200385 a 4500 001 2127803 005 2020-12-08 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41598-020-65565-1$2DOI 100 1 $aCARDOSO, D. F. 245 $aUncovering sub-structure and genomic profiles in across-countries subpopulations of Angus Cattle.$h[electronic resource] 260 $c2020 300 $a11 p. 520 $aHighlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N?= 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via FST and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77?65.25 Mb) and 14 (22.81?23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with FST and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomic similarity between Angus subpopulations, with noticeable signals of divergent selection in genomic regions associated with the adaptation in different environments. 650 $aAngus 653 $aAutozygosity islands 653 $aFST 653 $aOverall genomic diversity 653 $aRather similar across 653 $aROH islands 653 $aVarLD signals 700 1 $aFERNANDES JÚNIOR, G. A. 700 1 $aSCALEZ, D. C. B. 700 1 $aALVEZ, A. A. C. 700 1 $aMAGALHÃES, A. F. B. 700 1 $aBRESOLIN, T. 700 1 $aVENTURA, R. V. 700 1 $aLI, C. 700 1 $aOLIVEIRA, M. C. de S. 700 1 $aPORTO NETO, L. R. 700 1 $aCARVALHEIRO, R. 700 1 $aOLIVEIRA, H. N. de 700 1 $aTONHATI, H. 700 1 $aALBUQUERQUE, L. G. 773 $tScientific Reports$gv. 10, article 8770, 2020.
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