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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
23/04/2010 |
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Data da última atualização: |
09/01/2024 |
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Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
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Autoria: |
BERNARDI, A. C. de C.; ESTEVES, S. N.; BARBOSA, P. F.; VINHOLIS, M. de M. B. |
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Afiliação: |
ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; SERGIO NOVITA ESTEVES, CPPSE; PEDRO FRANKLIN BARBOSA, CPPSE; MARCELA DE MELLO BRANDAO VINHOLIS, CPPSE. |
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Título: |
Renovação de pastagem e terminação de bovinos em sistema de integração lavoura-pecuária em São Carlos, SP: resultados de 3 anos de avaliações. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
São Carlos, SP: Embrapa Pecuária Sudeste, 2009. |
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Páginas: |
28 p. |
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Série: |
(Embrapa Pecuária Sudeste. Boletim de Pesquisa e Desenvolvimento, 24). |
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ISSN: |
1981-2078 |
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Idioma: |
Português |
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Conteúdo: |
O objetivo deste trabalho foi avaliar a viabilidade técnica e econômica da renovação de uma pastagem de capim Braquiária no sistema de integração lavoura-pecuária com o plantio de milho e sorgo consorciado aos capins Marandu e Piatã e a terminação de bovinos da raça Canchim em confinamento, em São Carlos, SP. Houve viabilidade técnica e econômica da utilização desse sistema de integração lavoura-pecuária. |
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Palavras-Chave: |
Custos; Ganho de peso vivo; ILPF. |
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Thesagro: |
Brachiaria brizantha; Gado Canchim; Rentabilidade; Silagem. |
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Thesaurus Nal: |
Urochloa brizantha. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPPSE-2010/19149/1/PROCIBolPesDesACCB2009.00413.pdf
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Marc: |
LEADER 01332nam a2200277 a 4500
001 1697412
005 2024-01-09
008 2009 bl uuuu u0uu1 u #d
022 $a1981-2078
100 1 $aBERNARDI, A. C. de C.
245 $aRenovação de pastagem e terminação de bovinos em sistema de integração lavoura-pecuária em São Carlos, SP$bresultados de 3 anos de avaliações.$h[electronic resource]
260 $aSão Carlos, SP: Embrapa Pecuária Sudeste$c2009
300 $a28 p.
490 $a(Embrapa Pecuária Sudeste. Boletim de Pesquisa e Desenvolvimento, 24).
520 $aO objetivo deste trabalho foi avaliar a viabilidade técnica e econômica da renovação de uma pastagem de capim Braquiária no sistema de integração lavoura-pecuária com o plantio de milho e sorgo consorciado aos capins Marandu e Piatã e a terminação de bovinos da raça Canchim em confinamento, em São Carlos, SP. Houve viabilidade técnica e econômica da utilização desse sistema de integração lavoura-pecuária.
650 $aUrochloa brizantha
650 $aBrachiaria brizantha
650 $aGado Canchim
650 $aRentabilidade
650 $aSilagem
653 $aCustos
653 $aGanho de peso vivo
653 $aILPF
700 1 $aESTEVES, S. N.
700 1 $aBARBOSA, P. F.
700 1 $aVINHOLIS, M. de M. B.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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Data corrente: |
09/07/2019 |
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Data da última atualização: |
08/01/2020 |
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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: |
FERREIRA FILHO, D.; BUENO FILHO, J. S. de S.; REGITANO, L. C. de A.; ALENCAR, M. M. de; ALVES, R. R.; BAENA, M. M.; MEIRELLES, S. L. C. |
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Afiliação: |
Diógenes Ferreira Filho, UFRRJ; Júio Sílvio de Sousa Bueno Filho, UFLA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; ROSIANA RODRIGUES ALVES, CNPASA; Marielle Moura Baena, UFLA; Sarah Laguna Conceição Meirelles, UFLA. |
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Título: |
Tournaments between markers as a strategy to enhance genomic predictions. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Plos One, v. 14, n. 7, e0219448, p. 1-17, 2019. |
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DOI: |
10.1371/journal.pone.0219448 |
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Idioma: |
Inglês |
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Conteúdo: |
Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical analysis: high dimensionality (p>>n) and multicollinearity. Although there are methodologies that can be used to fit models for data with high dimensionality (eg,the Bayesian Lasso), a big problem that can occurs in this cases is that the predictive ability of the model should perform well for the individuals used to fit the model, but should not perform well for other individuals, restricting the applicability of the model. This problem can be circumvent by applying some selection methodology to reduce the number of markers (but keeping the markers associated with the phenotypic trait) before adjusting a model to predict GBVs. We revisit a tournament-based strategy between marker samples, where each sample has good statistical properties for estimation: n>p and low collinearity. Such tournaments are elaborated using multiple linear regression to eliminate markers. This method is adapted from previous works found in the literature. We used simulated data as well as real data derived from a study with SNPs in beef cattle. Tournament strategies not only circumvent the p>>n issue, but also minimize spurious associations. For real data, when we selected a few more than 20 markers, we obtained correlations greater than 0.70 between predicted Genomic Breeding Values (GBVs) and phenotypes in validation groups of a cross-validation scheme; and when we selected a larger number of markers (more than 100), the correlations exceeded 0.90, showing the efficiency in identifying relevant SNPs (or segregations) for both GWAS and GWS. In the simulation study, we obtained similar results. MenosAnalysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical analysis: high dimensionality (p>>n) and multicollinearity. Although there are methodologies that can be used to fit models for data with high dimensionality (eg,the Bayesian Lasso), a big problem that can occurs in this cases is that the predictive ability of the model should perform well for the individuals used to fit the model, but should not perform well for other individuals, restricting the applicability of the model. This problem can be circumvent by applying some selection methodology to reduce the number of markers (but keeping the markers associated with the phenotypic trait) before adjusting a model to predict GBVs. We revisit a tournament-based strategy between marker samples, where each sample has good statistical properties for estimation: n>p and low collinearity. Such tournaments are elaborated using multiple linear regression to eliminate markers. This method is adapted from previous works found in the literature. We used simulated data as well as real data derived from a study with SNPs in beef cattle. Tournament strategies not only circumvent the p>>n issue, but also minimize spurious associations. For real data, when we selected a few more than 20 markers, we obtained correlations greater than 0.70 between predicted Genomic Breeding Values (GBVs) and phenotyp... Mostrar Tudo |
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Palavras-Chave: |
Genome-wide; Genomic Breeding Values; GWAS; GWS; SNPs. |
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Thesagro: |
Genoma; Genótipo; Marcador Genético; Seleção Genética. |
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Thesaurus NAL: |
Genetic markers; Genomics; Genotyping. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199471/1/Tournaments-between-markers-as-a-strategy-correcao.pdf
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Marc: |
LEADER 02769naa a2200349 a 4500
001 2110534
005 2020-01-08
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0219448$2DOI
100 1 $aFERREIRA FILHO, D.
245 $aTournaments between markers as a strategy to enhance genomic predictions.$h[electronic resource]
260 $c2019
520 $aAnalysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical analysis: high dimensionality (p>>n) and multicollinearity. Although there are methodologies that can be used to fit models for data with high dimensionality (eg,the Bayesian Lasso), a big problem that can occurs in this cases is that the predictive ability of the model should perform well for the individuals used to fit the model, but should not perform well for other individuals, restricting the applicability of the model. This problem can be circumvent by applying some selection methodology to reduce the number of markers (but keeping the markers associated with the phenotypic trait) before adjusting a model to predict GBVs. We revisit a tournament-based strategy between marker samples, where each sample has good statistical properties for estimation: n>p and low collinearity. Such tournaments are elaborated using multiple linear regression to eliminate markers. This method is adapted from previous works found in the literature. We used simulated data as well as real data derived from a study with SNPs in beef cattle. Tournament strategies not only circumvent the p>>n issue, but also minimize spurious associations. For real data, when we selected a few more than 20 markers, we obtained correlations greater than 0.70 between predicted Genomic Breeding Values (GBVs) and phenotypes in validation groups of a cross-validation scheme; and when we selected a larger number of markers (more than 100), the correlations exceeded 0.90, showing the efficiency in identifying relevant SNPs (or segregations) for both GWAS and GWS. In the simulation study, we obtained similar results.
650 $aGenetic markers
650 $aGenomics
650 $aGenotyping
650 $aGenoma
650 $aGenótipo
650 $aMarcador Genético
650 $aSeleção Genética
653 $aGenome-wide
653 $aGenomic Breeding Values
653 $aGWAS
653 $aGWS
653 $aSNPs
700 1 $aBUENO FILHO, J. S. de S.
700 1 $aREGITANO, L. C. de A.
700 1 $aALENCAR, M. M. de
700 1 $aALVES, R. R.
700 1 $aBAENA, M. M.
700 1 $aMEIRELLES, S. L. C.
773 $tPlos One$gv. 14, n. 7, e0219448, p. 1-17, 2019.
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Embrapa Pecuária Sudeste (CPPSE) |
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