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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 Amazônia Oriental. |
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Data corrente: |
13/07/2017 |
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Data da última atualização: |
22/12/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CORDEIRO, T. F.; NARVAES, I. da S.; BUCHMANN, H. M.; FREITAS, L. J. M. de; SAMPAIO, S. M. N.; MAIA, J. S.; ADAMI, M.; VALERIANO, D. de M.; GOMES, A. R.; BRIENZA JUNIOR, S.; OLIVEIRA, R. R. S. de; LOPES, M. G. |
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Afiliação: |
Tássio Franco Cordeiro, INPE-CRA; Igor da Silva Narvaes, INPE-CRA; Hugo Macedo Buchmann, UNB/CPATU; LUCAS JOSE MAZZEI DE FREITAS, CPATU; SANDRA MARIA NEIVA SAMPAIO, CPATU; Janaina Santana Maia, FUNCATE; Marcos Adami, INPE-CRA; Dalton de Morrison Valeriano, INPE; Alessandra Rodrigues Gomes, INPE-CRA; SILVIO BRIENZA JUNIOR, CPATU; Rodrigo Rafael Souza de Oliveira, INPE-CRA; Marilia Gabriela Lopes, INPE-CRA. |
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Título: |
Feições de exploração florestal de impacto reduzido na Flona do Tapajós utilizando imagens Landsat e filtros texturais. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. |
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Páginas: |
p. 4859-4865. |
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Idioma: |
Português |
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Conteúdo: |
In the Amazon, the suitable of natural forests is recurring theme in the last years on the world, considering if the same has a huge potential of contribution in products and services. In this context, the reduced impact logging is fundamental in the biodiversity conservation and their forest feedstock sustainable use. Thus, to evaluate a mapping the reduced impact logging in the National forest of Tapajós, Para State, a quantity of information?s and Landsat8 - OLI series merged to orbit-points 227/062 was used to apply in the DETEX methodology (Selective logging Detection), to detect forest exploitation. The results showed significant relationships at use of coherence matrixes of gray levels based on texture characteristics related with remained basal area in fields regarded as reduced impact logging, notably to contrast, entropy, homogeneity and angular second moment texture variables, for the majority of them after the forest exploitation in the area. In addition, the longest filters windows size obtained significant statistical results, aligned with specialized literature about the theme. In this way, is recommended the use of methodology in areas with higher exploitation intensity than used in this study, in order to stablish comparisons and identify levels of intensity in forest exploitation distinct |
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Palavras-Chave: |
Análise textural; Área basal remanescente; DETEX; Exploração florestal de impacto reduzido. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161764/1/sbsr-60041.pdf
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Marc: |
LEADER 02335nam a2200301 a 4500
001 2072673
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
100 1 $aCORDEIRO, T. F.
245 $aFeições de exploração florestal de impacto reduzido na Flona do Tapajós utilizando imagens Landsat e filtros texturais.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE$c2017
300 $ap. 4859-4865.
520 $aIn the Amazon, the suitable of natural forests is recurring theme in the last years on the world, considering if the same has a huge potential of contribution in products and services. In this context, the reduced impact logging is fundamental in the biodiversity conservation and their forest feedstock sustainable use. Thus, to evaluate a mapping the reduced impact logging in the National forest of Tapajós, Para State, a quantity of information?s and Landsat8 - OLI series merged to orbit-points 227/062 was used to apply in the DETEX methodology (Selective logging Detection), to detect forest exploitation. The results showed significant relationships at use of coherence matrixes of gray levels based on texture characteristics related with remained basal area in fields regarded as reduced impact logging, notably to contrast, entropy, homogeneity and angular second moment texture variables, for the majority of them after the forest exploitation in the area. In addition, the longest filters windows size obtained significant statistical results, aligned with specialized literature about the theme. In this way, is recommended the use of methodology in areas with higher exploitation intensity than used in this study, in order to stablish comparisons and identify levels of intensity in forest exploitation distinct
653 $aAnálise textural
653 $aÁrea basal remanescente
653 $aDETEX
653 $aExploração florestal de impacto reduzido
700 1 $aNARVAES, I. da S.
700 1 $aBUCHMANN, H. M.
700 1 $aFREITAS, L. J. M. de
700 1 $aSAMPAIO, S. M. N.
700 1 $aMAIA, J. S.
700 1 $aADAMI, M.
700 1 $aVALERIANO, D. de M.
700 1 $aGOMES, A. R.
700 1 $aBRIENZA JUNIOR, S.
700 1 $aOLIVEIRA, R. R. S. de
700 1 $aLOPES, M. G.
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Embrapa Amazônia Oriental (CPATU) |
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