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| Registros recuperados : 22 | |
| 1. |  | DUTRA, L. G.; PEREIRA, J.; REGO, A. S.; VIEIRA, I. F.; MORAES, E. A. Espacamento e densidade de plantio de feijao da seca em area de campo-cerrado. Seiva, Vicosa, v.39, n.88, p.1-9, abr./jun. 1979.| Biblioteca(s): Embrapa Cerrados. |
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| 3. | | PEREIRA, J.; VIEIRA, I. F.; MORAES, E. A.; REGO, A. S. Níveis de sulfato de zinco em milho (Zea mays) em solos de campo cerrado. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 8, n. 7, p. 187-191, 1973. (Agronomia). Título em inglês: Levels of zinc sulphate in field corn (Zea mays) grown in campo-cerrados.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 5. | | RIBEIRO, C. C. D.; REGO, A. S.; GOMES, I. A. S.; OLIVEIRA, M. E. C. Comparação de métodos de cálculo do teor de lipídeos em frutos de tucumã (Astrocaryum vulgare). In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 15., 2011, Belém, PA. A ciência de fazer ciência: anais. Belém, PA: Embrapa Amazônia Oriental, 2011. 1 CD-ROM. PIBIC-2011.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 9. | | DUTRA, L. G.; PEREIRA, J.; BRAGA, J. M.; REGO, A. S. Efeito da adubacao nitrogenada, fosfatada e potassica na producao da soja (Glycine max L. Merril) e do feijao (Phaseolus vulgaris L.) em latossolo vermelho escuro textura media, nos municipios de Goiania e Anapolis, Goias. Revista Ceres, v.22, n.123, p.341-358, set./out. 1975.| Biblioteca(s): Embrapa Cerrados; Embrapa Rondônia; Embrapa Soja. |
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| 14. | | VALENÇA, R. do S. F.; RÊGO, A. S.; FÉLIX, E. S.; OLIVEIRA, M. E. C. Utilização de metóxido de sódio como catalisador para produção de biodiesel a partir do óleo de palma bruto. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA, 14., 2010, Belém, PA. Bolsista de iniciação científica: um aporte ao desenvolvimento da pesquisa agropecuária: anais. Belém, PA: Embrapa Amazônia Oriental, 2010. 1 CD-ROM. PIBIC 2010.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 19. | | SARAIVA, W. V. A.; VIEIRA, I. G.; GALVÃO, A. S.; AMARAL, E. A. do; RÊGO, A. S.; TEODORO, A. V.; DIAS, N. da S. Lethal and sublethal effects of babassu and degummed soybean oils on the predatory mite Typhlodromus ornatus (Acari: Phytoseiidae). International Journal of Acarology, v. 46, n. 3, p. 180-184, 2020.| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 20. | | VIEIRA, I G.; SARAIVA, W. V. A.; FREITAS, G. S.; GALVAO, A. S.; AMARAL, E. A.; REGO, A. S.; TEODORO, A. V. Compatibility of degummed soybean and babassu oils with the generalist predatory mite Typhlodromus (Anthoseius) ornatus (Acari: Phytoseiidae) preying on Aceria guerreronis (Acari: Eriophyidae). International Journal of Acarology, v. 47, n. 3, p. 242-247, 2021.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| Registros recuperados : 22 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Gado de Leite. |
|
Data corrente: |
17/05/2017 |
|
Data da última atualização: |
27/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
|
Idioma: |
Inglês
Português |
|
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. |
|
Thesaurus NAL: |
body weight. |
|
Categoria do assunto: |
--
L Ciência Animal e Produtos de Origem Animal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161512/1/Cnpgl-2017-SciAgric-Silva-Genome.pdf
|
|
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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Embrapa Gado de Leite (CNPGL) |
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