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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
21/01/2022 |
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Data da última atualização: |
21/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. |
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Afiliação: |
JAQUICELE APARECIDA DA COSTA, UFV; CAMILA FERREIRA AZEVEDO, UFV; MOYSÉS NASCIMENTO, UFV; FABYANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; ANA CAROLINA CAMPANA NASCIMENTO, UFV. |
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Título: |
A comparison of regression methods based on dimensional reduction for genomic prediction. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 2, p. 1-15, 2021. |
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DOI: |
https://doi.org/10.4238/gmr18877 |
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Idioma: |
Inglês |
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Conteúdo: |
multicollinearity and high dimensionality problems, making it impossible to obtain stable estimates through the traditional method of estimation based on ordinary least squares. To overcome such challenges, dimensionality reduction methods have been proposed, because of their simple theory and easy application. We compared three dimensionality reduction methods: Principal Components Regression (PCR), Partial Least Squares (PLS), and Independent Components Regression (ICR). An important step for dimensionality reduction and prediction is selecting the number of components, as it affects the linear combinations of the explanatory variables. The linear combinations are inserted into the model to predict the response based on a reduced number of parameters. We examined the criteria for the selection of the number of components. The dimensionality reduction methods were applied to genomic and phenotype data. We evaluated 370 accessions of Asian rice, Oryza sativa, which were genotyped for 36,901 SNPs markers considered to predict the genomic values for the number of panicles per plant trait.This data set presented multicollinearity and high dimensionality. The computational time for each method was also recorded. Among the methods, PCR and ICR gave the highest accuracy values, with ICR standing out for presenting estimates of the least biased genomic values. However, ICR required more computational time than the other methodologies. |
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Thesaurus Nal: |
Genomics; Regression analysis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230432/1/A-comparison-of-regression-methods.pdf
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Marc: |
LEADER 02131naa a2200217 a 4500
001 2139234
005 2022-01-21
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/gmr18877$2DOI
100 1 $aCOSTA, J. A. da
245 $aA comparison of regression methods based on dimensional reduction for genomic prediction.$h[electronic resource]
260 $c2021
520 $amulticollinearity and high dimensionality problems, making it impossible to obtain stable estimates through the traditional method of estimation based on ordinary least squares. To overcome such challenges, dimensionality reduction methods have been proposed, because of their simple theory and easy application. We compared three dimensionality reduction methods: Principal Components Regression (PCR), Partial Least Squares (PLS), and Independent Components Regression (ICR). An important step for dimensionality reduction and prediction is selecting the number of components, as it affects the linear combinations of the explanatory variables. The linear combinations are inserted into the model to predict the response based on a reduced number of parameters. We examined the criteria for the selection of the number of components. The dimensionality reduction methods were applied to genomic and phenotype data. We evaluated 370 accessions of Asian rice, Oryza sativa, which were genotyped for 36,901 SNPs markers considered to predict the genomic values for the number of panicles per plant trait.This data set presented multicollinearity and high dimensionality. The computational time for each method was also recorded. Among the methods, PCR and ICR gave the highest accuracy values, with ICR standing out for presenting estimates of the least biased genomic values. However, ICR required more computational time than the other methodologies.
650 $aGenomics
650 $aRegression analysis
700 1 $aAZEVEDO, C. F.
700 1 $aNASCIMENTO, M.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
700 1 $aNASCIMENTO, A. C. C.
773 $tGenetics and Molecular Research$gv. 20, n. 2, p. 1-15, 2021.
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Registro original: |
Embrapa Café (CNPCa) |
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| Registros recuperados : 7 | |
| 1. |  | ALBUQUERQUE, T. C. S. de; ALBUQUERQUE NETO, A. A. R. de; ALENCAR, O. G. de; COSTA, J. A. da. Absorção via foliar de aminoácidos em mudas de videira cv. Thompson seedless em cultivo hidropônico. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 20.; ANNUAL MEETING OF THE INTERAMERICAN SOCIETY FOR TROPICAL HORTICULTURE, 54., 2008, Vitória. Frutas para todos : estratégias, tecnologias e visão sustentável: anais. Vitória: INCAPER: Sociedade Brasileira de Fruticultura, 2008. 1 DVD.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Semiárido. |
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| 3. | | BRANDÃO, F. J. C.; REZENDE, J. de O.; MAGALHÃES, A. F.; COSTA, J. A. da; ZANZARINI, F. V.; PIMENTEL, U. V. Avaliação de atributos físicos do solo e desenvolvimento da cultivar tangor murcot em latossolo amarelo coeso sob efeito da subsolagem. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. Uberlândia: SBCS; UFU; ICIAG, 2011. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 4. | | COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. A comparison of regression methods based on dimensional reduction for genomic prediction. Genetics and Molecular Research, v. 20, n. 2, p. 1-15, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Café. |
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| 6. | | COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F.; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. Determination of optimal number of independent components in yield traits in rice. Scientia Agricola, v. 79, n. 6, p. 1-8, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Café. |
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| 7. | | ALBUQUERQUE NETO, A. A. R. de; SILVA, A. F.; OLIVEIRA, A. P. D. de; MAIOR, M. S.; ALENCAR, O. G. de; COSTA, J. A. da; ALBUQUERQUE, T. C. S. de. Avaliação de solução nutritiva de biofertilizante pela quantidade acumulada de nutrientes e crescimento do milho cultivado em substrato inerte. In: ENCONTRO NACIONAL SOBRE SUBSTRATOS PARA PLANTAS, 6., 2008, Fortaleza. Materiais regionais como substrato: anais. Fortaleza: Embrapa Agroindústria Tropical: Sebrae/CE, 2008. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 7 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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