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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
28/01/2021 |
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Data da última atualização: |
28/01/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos. |
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Afiliação: |
RODRIGO SILVA ALVES, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; JOÃO ROMERO DO AMARAL SANTOS DE CARVALHO ROCHA, UFV; MARCO ANTÔNIO PEIXOTO, UFV; PAULO EDUARDO TEODORO, UFMS; FABYANO FONSECA E SILVA, UFV; LEONARDO LOPES BHERING, UFV; GLEISON AUGUSTO DOS SANTOS, UFV. |
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Título: |
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Bragantia, v. 79, n. 4, 2020. p. 360-376. |
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DOI: |
https://doi.org/10.1590/1678-4499.20200125 |
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Idioma: |
Inglês |
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Conteúdo: |
An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (Eucalyptus spp.) breeding. To this end, a data set with 215 eucalyptus clones of different species and hybrids evaluated in four environments for diameter at breast height (DBH) and Pilodyn penetration (PP) was used. Variance components were estimated by restricted maximum likelihood, and genetic values were predicted by best linear unbiased prediction. The best-fitted model for DBH and PP was indicated by the Akaike information criterion, and the significance of the genotype effects was tested using the likelihood ratio test. Genetic variability between eucalyptus clones and very high accuracies ( r^gg >=0.90 ) were detected for both traits. Reaction norms and eigenfunctions generated genetic insights into G × E interactions. This is the first study that quantified individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus breeding and demonstrated the great potential of this technique. |
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Thesagro: |
Eucalipto; Interação Genética; Melhoramento Genético Vegetal; Método Estatístico. |
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Thesaurus Nal: |
Eucalyptus; Forest trees; Genotype-environment interaction; Plant breeding; Statistical models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220735/1/Quantifying-individual-variation.pdf
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Marc: |
LEADER 02377naa a2200325 a 4500
001 2129653
005 2021-01-28
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1678-4499.20200125$2DOI
100 1 $aALVES, R. S.
245 $aQuantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials$bapplication in eucalyptus breeding.$h[electronic resource]
260 $c2020
520 $aAn accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (Eucalyptus spp.) breeding. To this end, a data set with 215 eucalyptus clones of different species and hybrids evaluated in four environments for diameter at breast height (DBH) and Pilodyn penetration (PP) was used. Variance components were estimated by restricted maximum likelihood, and genetic values were predicted by best linear unbiased prediction. The best-fitted model for DBH and PP was indicated by the Akaike information criterion, and the significance of the genotype effects was tested using the likelihood ratio test. Genetic variability between eucalyptus clones and very high accuracies ( r^gg >=0.90 ) were detected for both traits. Reaction norms and eigenfunctions generated genetic insights into G × E interactions. This is the first study that quantified individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus breeding and demonstrated the great potential of this technique.
650 $aEucalyptus
650 $aForest trees
650 $aGenotype-environment interaction
650 $aPlant breeding
650 $aStatistical models
650 $aEucalipto
650 $aInteração Genética
650 $aMelhoramento Genético Vegetal
650 $aMétodo Estatístico
700 1 $aRESENDE, M. D. V. de
700 1 $aROCHA, J. R. do A. S. de C.
700 1 $aPEIXOTO, M. A.
700 1 $aTEODORO, P. E.
700 1 $aSILVA, F. F. e
700 1 $aBHERING, L. L.
700 1 $aSANTOS, G. A. dos
773 $tBragantia$gv. 79, n. 4, 2020. p. 360-376.
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Registro original: |
Embrapa Café (CNPCa) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
28/08/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; GUBIANI, P. I.; TEIXEIRA, W. G.; OLIVEIRA, S. R. de M.; VIANA, J. H. M.; TORNQUIST, C. G.; ANJOS, L.; SOUZA, J. J. L. L. de; RIBEIRO, E.; OTTONI, M.; MEDEIROS, P. S. C. de; REICHERT, J. M.; SIQUEIRA, D. S.; MARQUES JÚNIOR; DEMATTÊ, J. A. M.; DOTTO, A. C.; COLLIER, L.; VASQUES, G. de M.; VALLADARES, G.; PEDRON, F. A.; PEDROSO NETO, J. C.; FILIPPINI ALBA, J. M.; OLIVEIRA, R. P. de; CAVIGLIONE, J. H.; MIGUEL, P.; SANTOS, H. G. dos; FLORES, C. A.; LEPSCH, I.; GRIS, D. J.; ROSIN, N. A.; MOURA-BUENO, J. M. |
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Afiliação: |
ALESSANDRO SAMUEL-ROSA, UFSM; RICARDO S. D. DALMOLIN, UFSM; PAULO IVONIR GUBIANI, UFSM; WENCESLAU GERALDES TEIXEIRA, CNPS; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; JOAO HERBERT MOREIRA VIANA, CNPMS; CARLOS G. TORNQUIST, UFRGS; LÚCIA ANJOS, UFRRJ; JOSÉ JOÃO L. L. DE SOUZA, UFRN; ELOI RIBEIRO, ISRIC; MARTA OTTONI, SERVIÇO GEOLÓGICO DO BRASIL; PAULA S. C. DE MEDEIROS, IBGE; JOSÉ MIGUEL REICHERT, UFSM; DIEGO S. SIQUEIRA, UNESP; JOSÉ MARQUES JÚNIOR, UNESP; JOSÉ A. M. DEMATTÊ, USP; ANDRÉ C. DOTTO, USP; LEONARDO COLLIER, UFG; GUSTAVO DE MATTOS VASQUES, CNPS; GUSTAVO VALLADARES, UFPI; FABRÍCIO A. PEDRON, UFSM; JOÃO C. PEDROSO NETO, EPAMIG; JOSE MARIA FILIPPINI ALBA, CPACT; RONALDO PEREIRA DE OLIVEIRA, CNPS; JOÃO HENRIQUE CAVIGLIONE, IAPAR; PABLO MIGUEL, UFPel; HUMBERTO GONCALVES DOS SANTOS, CNPS; CARLOS ALBERTO FLORES, CPACT; IGO LEPSCH, USP; DIEGO JOSÉ GRIS, UFSM; NÍCOLAS AUGUSTO ROSIN, UFSM; JEAN M. MOURA-BUENO, UFSM. |
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Título: |
Bringing together Brazilian soil scientists to share soil data. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: REUNIÃO SUL BRASILEIRA DE CIÊNCIA DO SOLO, 12., 2018, Xanxerê. Solo, água, ar e biodiversidade: componentes essenciais para a vida: anais. Chapecó: Argos, 2018. |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Wenceslau Teixeira. |
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Conteúdo: |
Brazilian soil scientists have recently created a soil data repository using community-built standards and following open data policies in an attempt to address the issues mentioned above. The Free Brazilian Repository for Open Soil Data - febr -, accessible through www.ufsm.br/febr, is a centralized repository targeted at storing open soil data and serving it in a standardized and harmonized format, for various applications. This paper describes the features of febr and the opportunities that it creates for soil science. |
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Thesagro: |
Dado; Solo. |
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Thesaurus NAL: |
Databases; Soil. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182031/1/2018-030.pdf
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Marc: |
LEADER 02122nam a2200541 a 4500
001 2094648
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
100 1 $aSAMUEL-ROSA, A.
245 $aBringing together Brazilian soil scientists to share soil data.$h[electronic resource]
260 $aIn: REUNIÃO SUL BRASILEIRA DE CIÊNCIA DO SOLO, 12., 2018, Xanxerê. Solo, água, ar e biodiversidade: componentes essenciais para a vida: anais. Chapecó: Argos$c2018
500 $aNa publicação: Wenceslau Teixeira.
520 $aBrazilian soil scientists have recently created a soil data repository using community-built standards and following open data policies in an attempt to address the issues mentioned above. The Free Brazilian Repository for Open Soil Data - febr -, accessible through www.ufsm.br/febr, is a centralized repository targeted at storing open soil data and serving it in a standardized and harmonized format, for various applications. This paper describes the features of febr and the opportunities that it creates for soil science.
650 $aDatabases
650 $aSoil
650 $aDado
650 $aSolo
700 1 $aDALMOLIN, R. S. D.
700 1 $aGUBIANI, P. I.
700 1 $aTEIXEIRA, W. G.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aVIANA, J. H. M.
700 1 $aTORNQUIST, C. G.
700 1 $aANJOS, L.
700 1 $aSOUZA, J. J. L. L. de
700 1 $aRIBEIRO, E.
700 1 $aOTTONI, M.
700 1 $aMEDEIROS, P. S. C. de
700 1 $aREICHERT, J. M.
700 1 $aSIQUEIRA, D. S.
700 1 $aMARQUES JÚNIOR
700 1 $aDEMATTÊ, J. A. M.
700 1 $aDOTTO, A. C.
700 1 $aCOLLIER, L.
700 1 $aVASQUES, G. de M.
700 1 $aVALLADARES, G.
700 1 $aPEDRON, F. A.
700 1 $aPEDROSO NETO, J. C.
700 1 $aFILIPPINI ALBA, J. M.
700 1 $aOLIVEIRA, R. P. de
700 1 $aCAVIGLIONE, J. H.
700 1 $aMIGUEL, P.
700 1 $aSANTOS, H. G. dos
700 1 $aFLORES, C. A.
700 1 $aLEPSCH, I.
700 1 $aGRIS, D. J.
700 1 $aROSIN, N. A.
700 1 $aMOURA-BUENO, J. M.
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