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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Gado de Leite. |
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Data corrente: |
17/05/2017 |
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Data da última atualização: |
27/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, F. F. e; ZAMBRANO, M. F. B.; VARONA, L.; GLÓRIA, L. S.; LOPES, P. S.; SILVA, M. V. G. B.; ARBEX, W. A.; LÁZARO, S. F.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F. |
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Afiliação: |
Fabyano Fonseca e Silva, UFV/VIÇOSA; Maria Fernanda Betancur Zambrano, UFV/VIÇOSA; Luis Varona, University of Zaragoza; Leonardo Siqueira Glória, UFV/VIÇOSA; Paulo Sávio Lopes, UFV; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; WAGNER ANTONIO ARBEX, CNPGL; Sirlene Fernandes Lázaro, UFV/VIÇOSA; MARCOS DEON VILELA DE RESENDE, CNPF; Simone Eliza Facioni Guimarães, UFV/VIÇOSA. |
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Título: |
Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Scientia Agricola, v. 74, n. 1, 2017. |
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Páginas: |
7 P. |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Genome association analyses have been successful in identifying quantitative trait
loci (QTLs) for pig body weights measured at a single age. However, when considering the whole
weight trajectories over time in the context of genome association analyses, it is important to
look at the markers that affect growth curve parameters. The easiest way to consider them is
via the two-step method, in which the growth curve parameters and marker effects are estimated
separately, thereby resulting in a reduction of the statistical power and the precision of
estimates. One efficient solution is to adopt nonlinear mixed models (NMM), which enables a joint
modeling of the individual growth curves and marker effects. Our aim was to propose a genome
association analysis for growth curves in pigs based on NMM as well as to compare it with the
traditional two-step method. In addition, we also aimed to identify the nearest candidate genes
related to significant SNP (single nucleotide polymorphism) markers. The NMM presented a
higher number of significant SNPs for adult weight (A) and maturity rate (K), and provided a direct
way to test SNP significance simultaneously for both the A and K parameters. Furthermore, all
significant SNPs from the two-step method were also reported in the NMM analysis. The ontology
of the three candidate genes (SH3BGRL2, MAPK14, and MYL9) derived from significant SNPs
(simultaneously affecting A and K) allows us to make inferences with regards to their contribution
to the pig growth process in the population studied. MenosGenome association analyses have been successful in identifying quantitative trait
loci (QTLs) for pig body weights measured at a single age. However, when considering the whole
weight trajectories over time in the context of genome association analyses, it is important to
look at the markers that affect growth curve parameters. The easiest way to consider them is
via the two-step method, in which the growth curve parameters and marker effects are estimated
separately, thereby resulting in a reduction of the statistical power and the precision of
estimates. One efficient solution is to adopt nonlinear mixed models (NMM), which enables a joint
modeling of the individual growth curves and marker effects. Our aim was to propose a genome
association analysis for growth curves in pigs based on NMM as well as to compare it with the
traditional two-step method. In addition, we also aimed to identify the nearest candidate genes
related to significant SNP (single nucleotide polymorphism) markers. The NMM presented a
higher number of significant SNPs for adult weight (A) and maturity rate (K), and provided a direct
way to test SNP significance simultaneously for both the A and K parameters. Furthermore, all
significant SNPs from the two-step method were also reported in the NMM analysis. The ontology
of the three candidate genes (SH3BGRL2, MAPK14, and MYL9) derived from significant SNPs
(simultaneously affecting A and K) allows us to make inferences with regards to their contribution
... Mostrar Tudo |
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Palavras-Chave: |
Longitudinal data; SNP markers. |
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Thesaurus Nal: |
body weight. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161512/1/Cnpgl-2017-SciAgric-Silva-Genome.pdf
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Marc: |
LEADER 02345naa a2200277 a 4500
001 2072227
005 2023-01-27
008 2017 bl uuuu u00u1 u #d
100 1 $aSILVA, F. F. e
245 $aGenome association study through nonlinear mixed models revealed new candidate genes for pig growth curves.$h[electronic resource]
260 $c2017
300 $a7 P.
520 $aGenome association analyses have been successful in identifying quantitative trait loci (QTLs) for pig body weights measured at a single age. However, when considering the whole weight trajectories over time in the context of genome association analyses, it is important to look at the markers that affect growth curve parameters. The easiest way to consider them is via the two-step method, in which the growth curve parameters and marker effects are estimated separately, thereby resulting in a reduction of the statistical power and the precision of estimates. One efficient solution is to adopt nonlinear mixed models (NMM), which enables a joint modeling of the individual growth curves and marker effects. Our aim was to propose a genome association analysis for growth curves in pigs based on NMM as well as to compare it with the traditional two-step method. In addition, we also aimed to identify the nearest candidate genes related to significant SNP (single nucleotide polymorphism) markers. The NMM presented a higher number of significant SNPs for adult weight (A) and maturity rate (K), and provided a direct way to test SNP significance simultaneously for both the A and K parameters. Furthermore, all significant SNPs from the two-step method were also reported in the NMM analysis. The ontology of the three candidate genes (SH3BGRL2, MAPK14, and MYL9) derived from significant SNPs (simultaneously affecting A and K) allows us to make inferences with regards to their contribution to the pig growth process in the population studied.
650 $abody weight
653 $aLongitudinal data
653 $aSNP markers
700 1 $aZAMBRANO, M. F. B.
700 1 $aVARONA, L.
700 1 $aGLÓRIA, L. S.
700 1 $aLOPES, P. S.
700 1 $aSILVA, M. V. G. B.
700 1 $aARBEX, W. A.
700 1 $aLÁZARO, S. F.
700 1 $aRESENDE, M. D. V. de
700 1 $aGUIMARÃES, S. E. F.
773 $tScientia Agricola$gv. 74, n. 1, 2017.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
11/07/1997 |
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Data da última atualização: |
01/08/2017 |
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Autoria: |
RAMOS, A. D.; BLEICHER, E.; FREIRE, F. das C. O.; CARDOSO, J. E.; PARENTE, J. I. G.; BARROS, L. de M.; CRISOSTOMO, L. A.; FROTA, P. C. E.; CORRÊA, M. P. F.; PESSOA, P. F. A. P.; MELO, Q. M. S.; OLIVEIRA, V. H. de. |
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Afiliação: |
Augmar Drumond Ramos; Ervino Bleicher; FRANCISCO DAS CHAGAS O FREIRE, CNPAT; JOSE EMILSON CARDOSO, CNPAT; José Ismar Girão Parente; LEVI DE MOURA BARROS, CNPAT; LINDBERGUE ARAUJO CRISOSTOMO, CNPAT; Paulo Cesar Espínola Frota; Maria Pinheiro Fernandes Corrêa; PEDRO FELIZARDO ADEODATO P PESSOA, CNPAT; Quélzia Maria Silva Melo; VITOR HUGO DE OLIVEIRA, CNPAT. |
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Título: |
A cultura do caju. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
Brasília, DF: Embrapa-SPI; Fortaleza: EMBRAPA, CNPAT, 1996. |
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Páginas: |
93 p. |
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Série: |
(Coleção Plantar, 34; Série vermelha. Fruteiras). |
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ISBN: |
85-85007-97-4 |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho oferece informacoes claras sobre todos os aspectos relacionados com a cultura do caju: clima, principais variedades, epoca de plantio, preparo do solo, calagem e adubacao, irrigacao, controle de pragas e doencas, cuidados pos-colheita, comercializacao e coeficientes tecnicos. |
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Palavras-Chave: |
Anacardium occidnetale; Brasil; Cashew; Cashew-nut; Cashews; Cultivar; Cultivation; Cultivo; Culture; Diseases; Doencas; Harvest; Mobility; Pest; Plant diseases; Pragas; Propagação; Propagation; Prunning; Seedling; Tropical fruits; Variety. |
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Thesagro: |
Anacardium Occidentale; Armazenamento; Caju; Clima; Colheita; Comercialização; Controle Químico; Doença; Fruta Tropical; Fruticultura; Fruto; Inseto; Irrigação; Mercado; Muda; Poda; Praga; Produção; Solo; Variedade. |
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Thesaurus NAL: |
chemical control; climate; fruits; harvesting; insects; irrigation; marketing; pests; pruning; soil; storage; trade; varieties. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/162248/1/A-cultura-do-caju.pdf
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Marc: |
LEADER 02476nam a2200937 a 4500
001 1111488
005 2017-08-01
008 1996 bl uuuu 00u1 u #d
020 $a85-85007-97-4
100 1 $aRAMOS, A. D.
245 $aA cultura do caju.
260 $aBrasília, DF: Embrapa-SPI; Fortaleza: EMBRAPA, CNPAT$c1996
300 $a93 p.
490 $a(Coleção Plantar, 34; Série vermelha. Fruteiras).
520 $aEste trabalho oferece informacoes claras sobre todos os aspectos relacionados com a cultura do caju: clima, principais variedades, epoca de plantio, preparo do solo, calagem e adubacao, irrigacao, controle de pragas e doencas, cuidados pos-colheita, comercializacao e coeficientes tecnicos.
650 $achemical control
650 $aclimate
650 $afruits
650 $aharvesting
650 $ainsects
650 $airrigation
650 $amarketing
650 $apests
650 $apruning
650 $asoil
650 $astorage
650 $atrade
650 $avarieties
650 $aAnacardium Occidentale
650 $aArmazenamento
650 $aCaju
650 $aClima
650 $aColheita
650 $aComercialização
650 $aControle Químico
650 $aDoença
650 $aFruta Tropical
650 $aFruticultura
650 $aFruto
650 $aInseto
650 $aIrrigação
650 $aMercado
650 $aMuda
650 $aPoda
650 $aPraga
650 $aProdução
650 $aSolo
650 $aVariedade
653 $aAnacardium occidnetale
653 $aBrasil
653 $aCashew
653 $aCashew-nut
653 $aCashews
653 $aCultivar
653 $aCultivation
653 $aCultivo
653 $aCulture
653 $aDiseases
653 $aDoencas
653 $aHarvest
653 $aMobility
653 $aPest
653 $aPlant diseases
653 $aPragas
653 $aPropagação
653 $aPropagation
653 $aPrunning
653 $aSeedling
653 $aTropical fruits
653 $aVariety
700 1 $aBLEICHER, E.
700 1 $aFREIRE, F. das C. O.
700 1 $aCARDOSO, J. E.
700 1 $aPARENTE, J. I. G.
700 1 $aBARROS, L. de M.
700 1 $aCRISOSTOMO, L. A.
700 1 $aFROTA, P. C. E.
700 1 $aCORRÊA, M. P. F.
700 1 $aPESSOA, P. F. A. P.
700 1 $aMELO, Q. M. S.
700 1 $aOLIVEIRA, V. H. de
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Embrapa Unidades Centrais (AI-SEDE) |
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