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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
20/01/2011 |
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Data da última atualização: |
09/02/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GUADAGNIN, J. P.; CARGNELUTTI FILHO, A.; EMYGDIO, B. M.; AMES, C. G.; BUZZETTI, D.; POSSA, F.; SANTOS, F. M. dos; MACHADO, J.; BEGNINI, J. C.; WINKLER, L.; GARRAFA, M.; ROMAN, P.; CARBONERA, R.; TRENTIN, R.; CASTRO, R. L. de; RODRIGUES, L. R. |
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Afiliação: |
JOSÉ PAULO GUADAGNIN, FEPAGRO; ALBERTO CARGNELUTTI FILHO, UFSM; BEATRIZ MARTI EMYGDIO, CPACT; CLAUDEMIR G. AMES, EMATER; DEJAMO BUZZETTI, EMATER; FELIPE POSSA, SEMILHA; FERNANDO M. DOS SANTOS, SETREM; JANE MACHADO; JOÃO CARLOS BEGNINI, FEPAGRO; LARISSA WINKLER, FUNDACEP; MARCOS GARRAFA, IFRS; PAULO ROMAN, COSUEL; ROBERTA CARBONERA, UNIJUÍ; RENATO TRENTIN, Monsanto; RICARDO LIMA DE CASTRO, FEPAGRO; LIA ROSANE RODRIGUES, FEPAGRO. |
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Título: |
Avaliação de cultivares de milho de ciclo superprecoce para indicação no Estado do Rio Grande do Sul na safra 2009-2010. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: REUNIÃO TÉCNICA ANUAL DO MILHO, 55.; REUNIÃO TÉCNICA ANUAL DO SORGO, 38., 2010, Vacaria. Atas e Resumos... Vacaria: FEPAGRO/ASAV/Emater, 2010. p. 55-58. |
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Idioma: |
Português |
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Palavras-Chave: |
Ciclo superprecoce. |
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Thesagro: |
Milho. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01002naa a2200313 a 4500
001 1873768
005 2011-02-09
008 2010 bl uuuu u00u1 u #d
100 1 $aGUADAGNIN, J. P.
245 $aAvaliação de cultivares de milho de ciclo superprecoce para indicação no Estado do Rio Grande do Sul na safra 2009-2010.
260 $c2010
650 $aMilho
653 $aCiclo superprecoce
700 1 $aCARGNELUTTI FILHO, A.
700 1 $aEMYGDIO, B. M.
700 1 $aAMES, C. G.
700 1 $aBUZZETTI, D.
700 1 $aPOSSA, F.
700 1 $aSANTOS, F. M. dos
700 1 $aMACHADO, J.
700 1 $aBEGNINI, J. C.
700 1 $aWINKLER, L.
700 1 $aGARRAFA, M.
700 1 $aROMAN, P.
700 1 $aCARBONERA, R.
700 1 $aTRENTIN, R.
700 1 $aCASTRO, R. L. de
700 1 $aRODRIGUES, L. R.
773 $tIn: REUNIÃO TÉCNICA ANUAL DO MILHO, 55.; REUNIÃO TÉCNICA ANUAL DO SORGO, 38., 2010, Vacaria. Atas e Resumos... Vacaria: FEPAGRO/ASAV/Emater, 2010. p. 55-58.
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
29/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
RIBEIRO, V. M. P.; GOUVEIA, G. C.; MORAES, M. M. de; ARAÚJO, A. E. M. de; RAIDAN, F. S. S.; FONSECA, P. A. de S.; CARDOSO, E. P.; SILVA, M. V. G. B.; TORAL, F. L. B. |
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Afiliação: |
VIRGÍNIA MARA PEREIRA RIBEIRO, Universidade Federal de Minas Gerais; GABRIELA CANABRAVA GOUVEIA, Universidade Federal de Minas Gerais; MARIANA MAMEDES DE MORAES, Universidade Federal de Minas Gerais; ANDRESA EVA MELO DE ARAÚJO, Universidade Federal de Minas Gerais; FERNANDA SANTOS SILVA RAIDAN, CSIRO Tasmania, Australia; PABLO AUGUSTO DE SOUZA FONSECA, University of Guelph; EDUARDO PENTEADO CARDOSO; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; FABIO LUIZ BURANELO TORAL, Universidade Federal de Minas Gerais. |
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Título: |
Genes underlying genetic correlation between growth, reproductive and parasite burden traits in beef cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Livestock Science, v. 244, 104332, 2021. |
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DOI: |
https://doi.org/10.1016/j.livsci.2020.104332 |
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Idioma: |
Inglês |
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Conteúdo: |
Genetic correlation is the outcome of linkage disequilibrium and/or pleiotropic genes. As such, identifying which genes take part in the genetic control of genetically correlated traits can help us better understand the relationship between economic traits and promote more efficient breeding programs. We aim to estimate the genetic correlations between growth, reproduction and parasite burden traits and to identify functional candidate genes (FCG) underlying these correlations. Six traits were evaluated, comprising two of growth (body weight - BW and average daily gain - ADG), one reproductive trait (scrotal circumference - SC) and three related to parasite burden (tick count - TICK, gastrointestinal nematode eggs per gram of feaces - GIN, and Eimeria spp. oocysts per gram of faeces - EIM). The genetic correlations were estimated using a multiple-trait model. A total of 21,667 SNP markers were used to perform a single-step GWAS and to identify genomic windows explaining at least 1% of the genetic variance for the studied traits. The posterior means and highest posterior density intervals of the genetic correlations were positive and of moderate magnitudes for the pairs of traits BW-ADG (0.64; 0.52, 0.76), BW-SC (0.38; 0.26, 0.50), BW-TICK (0.39; 0.25, 0.76), ADG-SC (0.27; 0.11, 0.43), and TICK-EIM (0.33; 0.12, 0.53). Only the pair ADG-EIM presented a negative correlation (-0.22; -0.39, -0.05). All the other pairs showed genetic correlations close to zero. Additionally, functional analyses were performed and FCGs were selected based on their roles in biological processes for each of the traits. The effects of the SNPs were calculated as a proportion of the genetic standard deviation. Seven FCGs (SLC16A4, KCNA2, LAMTOR5, DUSP10, MAP3K1, TPMT, and KIF13A) were identified for more than one trait. Regardless of the genetic correlation values (lowmoderate), there were FCGs which could influence both correlated traits. There were SNPs mapped in FCGs that might be used to promote genetic improvement in multiple traits. There are common FCGs that might control production, reproduction and parasite burden traits in beef cattle and contribute to genetic correlation values. MenosGenetic correlation is the outcome of linkage disequilibrium and/or pleiotropic genes. As such, identifying which genes take part in the genetic control of genetically correlated traits can help us better understand the relationship between economic traits and promote more efficient breeding programs. We aim to estimate the genetic correlations between growth, reproduction and parasite burden traits and to identify functional candidate genes (FCG) underlying these correlations. Six traits were evaluated, comprising two of growth (body weight - BW and average daily gain - ADG), one reproductive trait (scrotal circumference - SC) and three related to parasite burden (tick count - TICK, gastrointestinal nematode eggs per gram of feaces - GIN, and Eimeria spp. oocysts per gram of faeces - EIM). The genetic correlations were estimated using a multiple-trait model. A total of 21,667 SNP markers were used to perform a single-step GWAS and to identify genomic windows explaining at least 1% of the genetic variance for the studied traits. The posterior means and highest posterior density intervals of the genetic correlations were positive and of moderate magnitudes for the pairs of traits BW-ADG (0.64; 0.52, 0.76), BW-SC (0.38; 0.26, 0.50), BW-TICK (0.39; 0.25, 0.76), ADG-SC (0.27; 0.11, 0.43), and TICK-EIM (0.33; 0.12, 0.53). Only the pair ADG-EIM presented a negative correlation (-0.22; -0.39, -0.05). All the other pairs showed genetic correlations close to zero. Additionally, funct... Mostrar Tudo |
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Palavras-Chave: |
Correlação genética. |
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Thesagro: |
Bovino; Gado de Corte; Gado Nelore; Gene; Genética Animal; Melhoramento Genético Animal. |
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Thesaurus NAL: |
Body weight; Parasites; Pleiotropy. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03235naa a2200349 a 4500
001 2133525
005 2021-12-29
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2020.104332$2DOI
100 1 $aRIBEIRO, V. M. P.
245 $aGenes underlying genetic correlation between growth, reproductive and parasite burden traits in beef cattle.$h[electronic resource]
260 $c2021
520 $aGenetic correlation is the outcome of linkage disequilibrium and/or pleiotropic genes. As such, identifying which genes take part in the genetic control of genetically correlated traits can help us better understand the relationship between economic traits and promote more efficient breeding programs. We aim to estimate the genetic correlations between growth, reproduction and parasite burden traits and to identify functional candidate genes (FCG) underlying these correlations. Six traits were evaluated, comprising two of growth (body weight - BW and average daily gain - ADG), one reproductive trait (scrotal circumference - SC) and three related to parasite burden (tick count - TICK, gastrointestinal nematode eggs per gram of feaces - GIN, and Eimeria spp. oocysts per gram of faeces - EIM). The genetic correlations were estimated using a multiple-trait model. A total of 21,667 SNP markers were used to perform a single-step GWAS and to identify genomic windows explaining at least 1% of the genetic variance for the studied traits. The posterior means and highest posterior density intervals of the genetic correlations were positive and of moderate magnitudes for the pairs of traits BW-ADG (0.64; 0.52, 0.76), BW-SC (0.38; 0.26, 0.50), BW-TICK (0.39; 0.25, 0.76), ADG-SC (0.27; 0.11, 0.43), and TICK-EIM (0.33; 0.12, 0.53). Only the pair ADG-EIM presented a negative correlation (-0.22; -0.39, -0.05). All the other pairs showed genetic correlations close to zero. Additionally, functional analyses were performed and FCGs were selected based on their roles in biological processes for each of the traits. The effects of the SNPs were calculated as a proportion of the genetic standard deviation. Seven FCGs (SLC16A4, KCNA2, LAMTOR5, DUSP10, MAP3K1, TPMT, and KIF13A) were identified for more than one trait. Regardless of the genetic correlation values (lowmoderate), there were FCGs which could influence both correlated traits. There were SNPs mapped in FCGs that might be used to promote genetic improvement in multiple traits. There are common FCGs that might control production, reproduction and parasite burden traits in beef cattle and contribute to genetic correlation values.
650 $aBody weight
650 $aParasites
650 $aPleiotropy
650 $aBovino
650 $aGado de Corte
650 $aGado Nelore
650 $aGene
650 $aGenética Animal
650 $aMelhoramento Genético Animal
653 $aCorrelação genética
700 1 $aGOUVEIA, G. C.
700 1 $aMORAES, M. M. de
700 1 $aARAÚJO, A. E. M. de
700 1 $aRAIDAN, F. S. S.
700 1 $aFONSECA, P. A. de S.
700 1 $aCARDOSO, E. P.
700 1 $aSILVA, M. V. G. B.
700 1 $aTORAL, F. L. B.
773 $tLivestock Science$gv. 244, 104332, 2021.
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