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| Registros recuperados : 117 | |
| 101. |  | SILVA, K. K. da; MENEZES, C. B. de; TEODORO, P. E.; TEODORO, L. P. R.; SANTOS, C. V. dos; CAMPOS, A. F.; CARVALHO, A. J. de; BARBOSA, E. da S. Multi-environmental evaluation of sorghum hybrids during off-season in Brazil. Pesquisa Agropecuária Brasileira, v. 57, e02628, 2022. Título em português: Avaliação multiambiental de híbridos de sorgo durante a entressafra no Brasil.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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| 102. | | ALVES, R. S.; TEODORO, P. E.; PEIXOTO, L. de A.; ROCHA, J. R. do A. S. de C.; SILVA, L. A.; LAVIOLA, B. G.; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. Industrial Crops & Products, v.130, p. 558-561, 2019.| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
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| 103. | | ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p.| Biblioteca(s): Embrapa Florestas. |
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| 104. | | LAVIOLA, B. G.; SANTOS, A. dos; RODRIGUES, E. V.; TEODORO, L. P. R.; TEODORO, P. E.; ROSADO, T. B.; GUIMARÃES, C. G.; CONCEIÇÃO, L. D. H. C. S. DA. Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies. Genetic Resources and Crop Evolution, v. 69, p. 1179-1191, Nov. 2021. 13 p. PDF: il. color.| Biblioteca(s): Embrapa Agroenergia; Embrapa Uva e Vinho. |
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| 105. | | FARIAS, F. J. C.; CARVALHO, L. P. de; SILVA FILHO, J. L. da; TEODORO, P. E.; CAVALCANTI, J. J. V.; FARIAS, F. C.; QUEIROZ, D. R.; SILVA, G. P. da; SANTOS, R. C. dos; SOUZA, L. da S. S. de. Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. In: CONGRESSO BRASILEIRO DO ALGODÃO, 11., 2017, Maceió. Resumos... Inovação e rentabilidade na cotonicultura: resumos... Brasília, DF: Associação Brasileira dos Produtores de Algodão - Abrapa, 2017.| Biblioteca(s): Embrapa Algodão. |
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| 106. | | ALVES, R. S.; TEODORO, P. E.; FARIAS, F. C.; FARIAS, F. J. C.; CARVALHO, L. P. de; RODRIGUES, J. I. S.; BHERING, L. L.; RESENDE, M. D. V. de. Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017.| Biblioteca(s): Embrapa Algodão; Embrapa Florestas. |
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| 107. | | MENEZES, C. B. de; SILVA, K. J. da; TEODORO, L. P. R.; SANTOS, C. V. dis; JULIO, B. H. M.; PORTUGAL, A. F.; BATISTA, P. S. C.; CARVALHO, A. J.; TEODORO, P. E. Grain sorghum hybrids under drought stress and full-irrigation conditions in the Brazilian Semiarid. Journal of Agronomy and Crop Science, p. 1-8, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 108. | | ALVAREZ, R. de C. F.; TAVEIRA, A. C.; LIMA, S. F. de; TEODORO, L. P. R.; OLIVEIRA, J. T. de; SANTOS, A.; RODRIGUES, E, V.; CECCON, G.; TEODORO, P. E. Genetic diversity of cowpea genotypes grown in the Brazilian Cerrado. HORTSCIENCE, v. 56, n. 1, p. 28?29, jan. 2021.| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 109. | | QUEIROZ, D. R.; FARIAS, F. J. C.; CAVALCANTI, J. J. V.; CARVALHO, L. P. de; NEDER, D. G.; MELO, G. G. de; COSTA, D. S.; FARIAS, F. C.; TEODORO, P. E. Genetic parameters and path analysis of traits of upland cotton for the brazilian Semi-Arid region. Bioscience Journal, v. 35, n. 6, p. 1855-1861, Nov./Dec. 2019 Título em português: Parâmetros genéticos e análise de trilha de caracteres de algodoeiro herbáceo para região do Semi-árido brasileiro.| Biblioteca(s): Embrapa Algodão. |
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| 110. | | COSTA, A. F. da; RIBEIRO, L. P.; TEODORO, P. E.; BHERING, L. L.; TARDIN, F. D.; FORNAZIER, M. J.; COSTA, H.; MARTINS, D. dos S.; ZANUNCIO JUNIOR, J. S. Genetic divergence of strawberry cultivars under different managements. Bioscience Journal, Uberlândia, v. 34, n. 1, p. 129-137, Jan./Feb. 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 111. | | BALDONI, A. B.; TEODORO, L. P. R.; TEODORO, P. E.; TONINI, H.; TARDIN, F. D.; BOTIN, A. A.; HOOGERHEIDE, E. S. S.; BOTELHO, S. de C. C.; LULU, J.; FARIAS NETO, A. L. de; AZEVEDO, V. C. R. Genetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon. Forest ecology and management, v. 458, 117795, 2020.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Milho e Sorgo; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 112. | | AZEVEDO, G. B. de; REZENDE, A. V.; AZEVEDO, G. T. de O. S.; MIGUEL, E. P.; AQUINO, F. de G.; BRUZINGA, J. S. C.; OLIVEIRA, L. S. C. de; PEREIRA, R. S.; TEODORO, P. E. Woody biomass accumulation in a Cerrado of Central Brazil monitored for 27 years after the implementation of silvicultural systems. Forest Ecology and Management, n. 455, 2020. 10 p.| Biblioteca(s): Embrapa Cerrados. |
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| 113. | | OLIVEIRA, C. P. M. de; SIMOES, W. L.; CHAVES, A. R. de M.; SILVA, J. S. da; TEODORO, L. P. R.; CAMARGOS, L. S. de; GAVA, R.; SOBRAL, Y. R. A.; TEODORO, P. E. Water strategy improves the inflorescence primordia formation of ’Arra 15’ grapevine in the Brazilian semiarid region. Scientific Reports, v. 14, 6678, 2024.| Biblioteca(s): Embrapa Semiárido. |
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| 114. | | VOLPATO, L.; CHAVES, S. F. da S.; ALVES, R. da S.; ROCHA, J. R. do A. S. de C.; SANTOS, R. G. dos; TEODORO, L. P. R.; TARDIN, F. D.; BALDONI, A. B.; MENEZES, C. B. de; RESENDE, M. D. V. de; TEODORO, P. E. Statistical methods for genetic evaluation and selection of parents and hybrids of grain sorghum. South African Journal of Botany, v. 167, p. 535-541, 2024.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 115. | | BALDONI, A. B.; BOTIN, A. A.; TARDIN, F. D.; MARQUES, J. A. de B.; OLIVEIRA, F. L. de; SILVA, A. J. R.; SILVA, E. S. da; AWABDI, C. P.; PALUDZYSZYN FILHO, E.; NEVESE, L. G.; PANTALEÃO, A. de A.; TEODORO, L. P. R.; TEODORO, P. E. Early selection strategies in Schizolobium parahyba var. amazonicum (huber ex ducke) barneby. Industrial Crops and Products, v. 152, article 112538, 2020.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Florestas; Embrapa Milho e Sorgo. |
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| 116. | | DAMASCENO, A. S. da S.; BOECHAT, C. L.; SOUZA, H. A. de; CAPRISTO-SILVA, G. F.; MENDES, W. de S.; TEODORO, P. E.; MORAIS, P. G. C.; OLIVEIRA, R. I. de; DELLA-SILVA, J. L.; SOUZA, I. A. M. de; SILVA JUNIOR, C. A. da. Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, v. 29, 100913, 2023.| Biblioteca(s): Embrapa Meio-Norte. |
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| 117. | | SILVA, K. J. da; TEODORO, P. E.; SILVA, M. J. da; TEODORO, L. P. R.; CARDOSO, M. J.; GODINHO, V. de P. C.; MOTA, J. H.; SIMON, G. A.; TARDIN, F. D.; SILVA, A. R. da; GUEDES, F. L.; MENEZES, C. B. de. Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agronomy Journal, v. 113, n. 4, p. 3019-3030, Jul./Aug. 2021.| Biblioteca(s): Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
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| Registros recuperados : 117 | |
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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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Circulação/Nível: |
B - 1 |
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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
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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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Embrapa Café (CNPCa) |
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