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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Gado de Leite. |
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Data corrente: |
13/01/2021 |
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Data da última atualização: |
09/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, F. M.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; ELIZEU, A. M.; BENITES, F. R. G.; RESENDE, M. D. V. de; SOUZA SOBRINHO, F. de; BHERING, L. L. |
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Afiliação: |
Filipe Manoel Ferreira, UFV; João Romero do Amaral Santos de Carvalho Rocha, UFV; Rodrigo Silva Alves, UFV; Arthur Mayrink Elizeu, UFV; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL; MARCOS DEON VILELA DE RESENDE, CNPF; FAUSTO DE SOUZA SOBRINHO, CNPGL; Leonardo Lopes Bhering, UFV. |
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Título: |
Estimates of repeatability coefficients and optimum number of measures for genetic selection of Cynodon spp. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Euphytica, v. 216, article 70, 2020. |
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DOI: |
https://doi.org/10.1007/s10681-020-02605-x |
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Idioma: |
Inglês |
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Conteúdo: |
The genus Cynodon includes species that have huge potential to produce high-quality fodder, for grazing and hay production. In perennial forage breeding, selection should be performed based on repeated measurements in the same individual over time, which maximizes the selective efficiency. Thus, the objectives of this study were to estimate the coefficients of repeatability and optimal number of measures for the genetic selection of Cynodon spp. clones. We evaluated 202 clones, being five checks, during four harvests, in augmented block design. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for plant height, green weight, dry matter, and plant vigor were equal to 0.50, 0.67, 0.25, and 0.73, respectively. The accuracies obtained by performing m repeated measures revealed that 5, 2, 13, and 2 measurements are required to attain an accuracy C 90% in genetic gain from the selection for plant height, green weight, dry matter, and plant vigor, respectively. Furthermore, the efficiency of performing four measurements compared with that of performing only one measurement was 27%, 15%, 51%, and 12% for plant height, green weight, dry matter, and vigor, respectively. In addition, the additive index, adopting a 10% selection intensity, was used in simultaneous selection, leading to desirable genetic gains for plant height, green weight, and plant vigor. In conclusion, the use of the repeatability coefficient suggests performing three measurements to obtain a high accuracy and good efficiency on the selection of superior genotypes of Cynodon spp. MenosThe genus Cynodon includes species that have huge potential to produce high-quality fodder, for grazing and hay production. In perennial forage breeding, selection should be performed based on repeated measurements in the same individual over time, which maximizes the selective efficiency. Thus, the objectives of this study were to estimate the coefficients of repeatability and optimal number of measures for the genetic selection of Cynodon spp. clones. We evaluated 202 clones, being five checks, during four harvests, in augmented block design. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for plant height, green weight, dry matter, and plant vigor were equal to 0.50, 0.67, 0.25, and 0.73, respectively. The accuracies obtained by performing m repeated measures revealed that 5, 2, 13, and 2 measurements are required to attain an accuracy C 90% in genetic gain from the selection for plant height, green weight, dry matter, and plant vigor, respectively. Furthermore, the efficiency of performing four measurements compared with that of performing only one measurement was 27%, 15%, 51%, and 12% for plant height, green weight, dry matter, and vigor, respectively. In addition, the additive index, adopting a 10% selection intensity, was used in simultaneous selection, leading to desirable genetic gains for plant height, green weight, and plant vigor. In conclusion, the use of the repe... Mostrar Tudo |
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Palavras-Chave: |
Bermudagrass; Coeficiente de repetibilidade; Forage breeding; Forrageira; Longitudinal data; Mixed models. |
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Thesagro: |
Forragem; Melhoramento Genético Vegetal; Seleção Genética. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal
G Melhoramento Genético |
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Marc: |
LEADER 02665naa a2200325 a 4500
001 2133355
005 2021-08-09
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-020-02605-x$2DOI
100 1 $aFERREIRA, F. M.
245 $aEstimates of repeatability coefficients and optimum number of measures for genetic selection of Cynodon spp.$h[electronic resource]
260 $c2020
520 $aThe genus Cynodon includes species that have huge potential to produce high-quality fodder, for grazing and hay production. In perennial forage breeding, selection should be performed based on repeated measurements in the same individual over time, which maximizes the selective efficiency. Thus, the objectives of this study were to estimate the coefficients of repeatability and optimal number of measures for the genetic selection of Cynodon spp. clones. We evaluated 202 clones, being five checks, during four harvests, in augmented block design. A mixed model methodology (REML/BLUP) was used to estimate the variance components and predict the genotypic values. The repeatability coefficient for plant height, green weight, dry matter, and plant vigor were equal to 0.50, 0.67, 0.25, and 0.73, respectively. The accuracies obtained by performing m repeated measures revealed that 5, 2, 13, and 2 measurements are required to attain an accuracy C 90% in genetic gain from the selection for plant height, green weight, dry matter, and plant vigor, respectively. Furthermore, the efficiency of performing four measurements compared with that of performing only one measurement was 27%, 15%, 51%, and 12% for plant height, green weight, dry matter, and vigor, respectively. In addition, the additive index, adopting a 10% selection intensity, was used in simultaneous selection, leading to desirable genetic gains for plant height, green weight, and plant vigor. In conclusion, the use of the repeatability coefficient suggests performing three measurements to obtain a high accuracy and good efficiency on the selection of superior genotypes of Cynodon spp.
650 $aForragem
650 $aMelhoramento Genético Vegetal
650 $aSeleção Genética
653 $aBermudagrass
653 $aCoeficiente de repetibilidade
653 $aForage breeding
653 $aForrageira
653 $aLongitudinal data
653 $aMixed models
700 1 $aROCHA, J. R. do A. S. de C.
700 1 $aALVES, R. S.
700 1 $aELIZEU, A. M.
700 1 $aBENITES, F. R. G.
700 1 $aRESENDE, M. D. V. de
700 1 $aSOUZA SOBRINHO, F. de
700 1 $aBHERING, L. L.
773 $tEuphytica$gv. 216, article 70, 2020.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
11/05/2011 |
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Data da última atualização: |
18/04/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PINHEIRO, H. S. K.; BARBOSA, A. M.; ANJOS, L. H. C. dos; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. |
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Afiliação: |
HELENA SARAIVA KOENOW PINHEIRO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; ALEXANDRE MUSELLI BARBOSA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; LÚCIA HELENA CUNHA DOS ANJOS, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS. |
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Título: |
Avaliação de diferentes fontes de dados na obtenção do modelo digital de elevação para mapeamento digital dos solos da bacia hidrográfica do Rio Guapi-Macacu, RJ. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais [...]. São José dos Campos: INPE, 2011. p. 9136-9143. |
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Idioma: |
Português |
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Conteúdo: |
O objetivo do presente estudo foi avaliar modelos digitas de elevação de resolução espacial de 25 metros, gerados a partir de diferentes fontes de dados combinadas, aplicados à bacia hidrográfica do Rio Guapi-Macacu, RJ. |
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Palavras-Chave: |
Avaliação de MDE; Mapeamento de solos; SRTM. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus NAL: |
Remote sensing; Soil map. |
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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/34034/1/p0598.pdf
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Marc: |
LEADER 01088nam a2200229 a 4500
001 1888278
005 2024-04-18
008 2011 bl uuuu u00u1 u #d
100 1 $aPINHEIRO, H. S. K.
245 $aAvaliação de diferentes fontes de dados na obtenção do modelo digital de elevação para mapeamento digital dos solos da bacia hidrográfica do Rio Guapi-Macacu, RJ.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais [...]. São José dos Campos: INPE, 2011. p. 9136-9143.$c9143
520 $aO objetivo do presente estudo foi avaliar modelos digitas de elevação de resolução espacial de 25 metros, gerados a partir de diferentes fontes de dados combinadas, aplicados à bacia hidrográfica do Rio Guapi-Macacu, RJ.
650 $aRemote sensing
650 $aSoil map
650 $aSensoriamento Remoto
653 $aAvaliação de MDE
653 $aMapeamento de solos
653 $aSRTM
700 1 $aBARBOSA, A. M.
700 1 $aANJOS, L. H. C. dos
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aCHAGAS, C. da S.
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Embrapa Solos (CNPS) |
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