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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
22/01/2008 |
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Data da última atualização: |
17/05/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GROSSI DE SÁ, M. F.; MAGALHÃES, M. Q. de; SILVA, M. S.; SILVA, S. M. B.; DIAS, S. C.; NAKASU, E. Y. T.; BRUNETTA, P. S. F.; OLIVEIRA, G. R.; OLIVEIRA NETO, O. B.; OLIVEIRA, R. S. de; SOARES, L. H. B.; AYUB, M. A. Z.; SIQUEIRA, H. A. A.; FIGUEIRA, E. L. Z. |
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Afiliação: |
MARIA FÁTIMA GROSSI DE SA, EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA; MARIANA QUEZADO DE MAGALHÃES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MARILIA SANTOS SILVA, EMBRAPA CERRADOS; SHIRLEY MARGARETH BUFFON SILVA; SIMONI CAMPOS DIAS; ERICH YUKIO TEMPEL NAKASU, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; PATRÍCIA SANGLARD FELIPE BRUNETTA; GUSTAVO RAMOS OLIVEIRA, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; OSMUNDO BRILHANTE DE OLIVEIRA NETO; RAQUEL SAMPAIO DE OLIVEIRA; LUÍS HENRIQUE BARROS SOARES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MARCO ATNÔNIO ZACHIA AYUB, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; HERBERT ALVARO ABREU SIQUEIRA; EDSON L. A. FIGUEIRA. |
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Título: |
Susceptibility of Anthonomus grandis (Cotton boll weevil) and Spodoptera frugiperda (Fall Armyworm) to a Cry1Ia-type toxin from brazilian Bacillus thuringiensis strain. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Journal of Biochemistry and Molecular Biology, v. 40, n. 5, p. 773-782, 2007. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Anghonomus grandis. |
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Thesagro: |
Algodão; Inseto; Praga; Spodoptera Frugiperda. |
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Thesaurus Nal: |
Coleoptera; Lepidoptera. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178172/1/ID-28808-1.pdf
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Marc: |
LEADER 01112naa a2200349 a 4500
001 1189021
005 2024-05-17
008 2007 bl uuuu u00u1 u #d
100 1 $aGROSSI DE SÁ, M. F.
245 $aSusceptibility of Anthonomus grandis (Cotton boll weevil) and Spodoptera frugiperda (Fall Armyworm) to a Cry1Ia-type toxin from brazilian Bacillus thuringiensis strain.$h[electronic resource]
260 $c2007
650 $aColeoptera
650 $aLepidoptera
650 $aAlgodão
650 $aInseto
650 $aPraga
650 $aSpodoptera Frugiperda
653 $aAnghonomus grandis
700 1 $aMAGALHÃES, M. Q. de
700 1 $aSILVA, M. S.
700 1 $aSILVA, S. M. B.
700 1 $aDIAS, S. C.
700 1 $aNAKASU, E. Y. T.
700 1 $aBRUNETTA, P. S. F.
700 1 $aOLIVEIRA, G. R.
700 1 $aOLIVEIRA NETO, O. B.
700 1 $aOLIVEIRA, R. S. de
700 1 $aSOARES, L. H. B.
700 1 $aAYUB, M. A. Z.
700 1 $aSIQUEIRA, H. A. A.
700 1 $aFIGUEIRA, E. L. Z.
773 $tJournal of Biochemistry and Molecular Biology$gv. 40, n. 5, p. 773-782, 2007.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Biblioteca |
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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. |
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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Circulação/Nível: |
A - 2 |
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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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Embrapa Gado de Leite (CNPGL) |
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