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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
12/04/2001 |
Data da última atualização: |
27/02/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
RODRIGUES, M. do R. L.; SANTOS, J. de A. dos; BARCELOS, E. |
Afiliação: |
MARIA DO ROSARIO LOBATO RODRIGUES, CPAA; JACKSON DE ARAUJO DOS SANTOS, CPAA; EDSON BARCELOS DA SILVA, CPAA. |
Título: |
Carbono e nitrogênio na biomassa aérea de cultivo de dendê em Latossolo Amarelo na Amazônia Ocidental. |
Ano de publicação: |
2000 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE SISTEMAS AGROFLORESTAIS, 3., 2000, Manaus. Sistemas agroflorestais: manejando a biodiversidade e compondo a paisagem rural - resumos expandidos. Manaus: Embrapa Amazonia Ocidental, 2000. |
Páginas: |
p. 82-84. |
Idioma: |
Português |
Conteúdo: |
Estudo do efeito da materia vegetal produzida anualmente pelo dendezeiro sobre a reciclagem e sequestro de carbono e na liberacao de O2, em Manaus-AM (Brasil). Com base nos resultados preliminares, foi verificado que a cultura do dende participa efetivamente na ciclagem e fixacao de CO2. Alem disso, o dende, por suas caracteristicas, contitui-se em excelente opcao agricola para ocupacao das areas ja desmatadas na Amazonia, como componente principal de agroecossistemas sustentaveis, ou mesmo em monocultivo, promovendo o bem estar social do homem da regiao e a preservacao dos recursos naturais. |
Palavras-Chave: |
Aerial parts (of plants); Amazonas; Brasil; Manaus; Soi conservation; Sustainability. |
Thesagro: |
Biomassa; Carbono; Conservação do Solo; Dendê; Desenvolvimento Sustentável; Elaeis Guineensis; Floresta Tropical Úmida; Impacto Ambiental; Parte Aérea; Uso da Terra. |
Thesaurus Nal: |
biomass; carbon; environmental impact; land use; tropical rain forests. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114340/1/CPAA-DOC.-7-93.pdf
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Marc: |
LEADER 01867nam a2200397 a 4500 001 1670607 005 2020-02-27 008 2000 bl uuuu u00u1 u #d 100 1 $aRODRIGUES, M. do R. L. 245 $aCarbono e nitrogênio na biomassa aérea de cultivo de dendê em Latossolo Amarelo na Amazônia Ocidental. 260 $aIn: CONGRESSO BRASILEIRO DE SISTEMAS AGROFLORESTAIS, 3., 2000, Manaus. Sistemas agroflorestais: manejando a biodiversidade e compondo a paisagem rural - resumos expandidos. Manaus: Embrapa Amazonia Ocidental$c2000 300 $ap. 82-84. 520 $aEstudo do efeito da materia vegetal produzida anualmente pelo dendezeiro sobre a reciclagem e sequestro de carbono e na liberacao de O2, em Manaus-AM (Brasil). Com base nos resultados preliminares, foi verificado que a cultura do dende participa efetivamente na ciclagem e fixacao de CO2. Alem disso, o dende, por suas caracteristicas, contitui-se em excelente opcao agricola para ocupacao das areas ja desmatadas na Amazonia, como componente principal de agroecossistemas sustentaveis, ou mesmo em monocultivo, promovendo o bem estar social do homem da regiao e a preservacao dos recursos naturais. 650 $abiomass 650 $acarbon 650 $aenvironmental impact 650 $aland use 650 $atropical rain forests 650 $aBiomassa 650 $aCarbono 650 $aConservação do Solo 650 $aDendê 650 $aDesenvolvimento Sustentável 650 $aElaeis Guineensis 650 $aFloresta Tropical Úmida 650 $aImpacto Ambiental 650 $aParte Aérea 650 $aUso da Terra 653 $aAerial parts (of plants) 653 $aAmazonas 653 $aBrasil 653 $aManaus 653 $aSoi conservation 653 $aSustainability 700 1 $aSANTOS, J. de A. dos 700 1 $aBARCELOS, E.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
Data corrente: |
09/07/2019 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
Tournaments between markers as a strategy to enhance genomic predictions. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Plos One, v. 14, n. 7, e0219448, p. 1-17, 2019. |
DOI: |
10.1371/journal.pone.0219448 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Genome-wide; Genomic Breeding Values; GWAS; GWS; SNPs. |
Thesagro: |
Genoma; Genótipo; Marcador Genético; Seleção Genética. |
Thesaurus NAL: |
Genetic markers; Genomics; Genotyping. |
Categoria do assunto: |
G Melhoramento Genético |
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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