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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
03/06/2023 |
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Data da última atualização: |
03/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VIDAL, A. K. F.; DAHER, R. F.; AMBRÓSIO, M.; SANTANA, J. G. S.; FREITAS, R. S.; GRAVINA, G. de A.; RODRIGUES, E. V.; STIDA, W. F.; SOUZA, A. G. de; LEITE, C. L.; FARIAS, J. E. C.; RANGEL, L. H.; PEREIRA, A. V. |
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Afiliação: |
ANA KESIA FARIA VIDAL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ROGÉRIO FIGUEIREDO DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MOISES AMBRÓSIO, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOSEFA GRASIELA SILVA SANTANA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; RAFAEL SOUZA FREITAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO DE AMARAL GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ERINA VITÓRIO RODRIGUES, Universidade de Brasília; WANESSA FRANCESCONI STIDA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ALEXANDRE GOMES DE SOUZA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; CLEUDIANE LOPES LEITE, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOÃO ESDRAS CALAÇA FARIAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; LEANDRO HEITOR RANGEL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL. |
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Título: |
Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Scientia Agricola, v. 80, e20220103, 2023. |
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DOI: |
http://doi.org/10.1590/1678-992X-2022-0103 |
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Idioma: |
Inglês |
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Conteúdo: |
The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production. MenosThe mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in e... Mostrar Tudo |
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Palavras-Chave: |
Cenchrus purpureus; REML/BLUP. |
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Thesagro: |
Bioenergia; Capim Elefante. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154202/1/Estimation-of-repeatability-and-genotypic-superiority-of-elephant-grass.pdf
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Marc: |
LEADER 02534naa a2200325 a 4500
001 2154202
005 2023-06-03
008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://doi.org/10.1590/1678-992X-2022-0103$2DOI
100 1 $aVIDAL, A. K. F.
245 $aEstimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models.$h[electronic resource]
260 $c2023
520 $aThe mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production.
650 $aBioenergia
650 $aCapim Elefante
653 $aCenchrus purpureus
653 $aREML/BLUP
700 1 $aDAHER, R. F.
700 1 $aAMBRÓSIO, M.
700 1 $aSANTANA, J. G. S.
700 1 $aFREITAS, R. S.
700 1 $aGRAVINA, G. de A.
700 1 $aRODRIGUES, E. V.
700 1 $aSTIDA, W. F.
700 1 $aSOUZA, A. G. de
700 1 $aLEITE, C. L.
700 1 $aFARIAS, J. E. C.
700 1 $aRANGEL, L. H.
700 1 $aPEREIRA, A. V.
773 $tScientia Agricola$gv. 80, e20220103, 2023.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
10/03/2008 |
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Data da última atualização: |
10/04/2008 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
BUSTAMANTE, P. G.; CORREIA, J. R.; LIMA, I. L. P.; CAVECHIA, L. A. |
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Afiliação: |
Patrícia Goulart Bustamante, Embrapa Recursos Genéticos e Biotecnologia; João Roberto Correia, Embrapa Cerrados; Isabela Portela Lima, UnB; Laura Altafin Cavechia, UnB. |
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Título: |
Recursos genéticos utilizados para alimentação pelas famílias dos agricultores da comunidade Água Boa 2, no município de Rio Pardo de Minas, MG. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE SISTEMAS DE PRODUÇÃO, 7., 2007, Fortaleza. Agricultura familiar, políticas públicas e inclusão social: anais. Fortaleza: Embrapa Agroindústria Tropical, 2007. Organizado por Helenira Ellery Marinho Vasconcelos, Vitor Hugo de Oliveira, Andréia Hansen Oster. |
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Idioma: |
Português |
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Thesagro: |
Agricultura Familiar; Recurso Genético; Segurança Alimentar. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00854naa a2200181 a 4500
001 1180560
005 2008-04-10
008 2007 bl uuuu u00u1 u #d
100 1 $aBUSTAMANTE, P. G.
245 $aRecursos genéticos utilizados para alimentação pelas famílias dos agricultores da comunidade Água Boa 2, no município de Rio Pardo de Minas, MG.
260 $c2007
650 $aAgricultura Familiar
650 $aRecurso Genético
650 $aSegurança Alimentar
700 1 $aCORREIA, J. R.
700 1 $aLIMA, I. L. P.
700 1 $aCAVECHIA, L. A.
773 $tIn: CONGRESSO BRASILEIRO DE SISTEMAS DE PRODUÇÃO, 7., 2007, Fortaleza. Agricultura familiar, políticas públicas e inclusão social: anais. Fortaleza: Embrapa Agroindústria Tropical, 2007. Organizado por Helenira Ellery Marinho Vasconcelos, Vitor Hugo de Oliveira, Andréia Hansen Oster.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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