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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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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
24/08/2015 |
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Data da última atualização: |
18/04/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GOUVÊA, M. M.; FREITAS, D. M. S.; WATANABE, L. F. M.; REZENDE, J. A. M.; LOURENÇÃO, A. L. |
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Afiliação: |
M. M. GOUVÊA, USP/ESALQ; DEBORA MARIA SANSINI FREITAS, CPATSA; L. F. M. WATANABE, USP/ESALQ; J. A. M. REZENDE; A. L. LOURENÇÃO, IAC. |
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Título: |
Avaliação de inseticidas no controle da transmissão do tomato severe rugose virus por Bemisia tabaci. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 48.; CONGRESSO BRASILEIRO DE PATOLOGIA PÓS-COLHEITA, 2., 2015, São Pedro. Fitopatologia de precisão: fronteiras da ciência: anais. Brasília, DF: Sociedade Brasileira de Fitopatologia, 2015. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
O mosaico rugoso, causado pelo bogomovirus ToSRV, é uma das principais doenças do tomateiro. Neste trabalho avaliou-se a eficácia de quatro inseticidas. |
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Palavras-Chave: |
Disease; Tomato. |
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Thesagro: |
Bemisia Tabaci; Controle biológico; Doença; Inseticida; Mosca branca; Tomate. |
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Thesaurus NAL: |
Begomovirus. |
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Categoria do assunto: |
O Insetos e Entomologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128502/1/Debora.pdf
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Marc: |
LEADER 01108nam a2200277 a 4500
001 2022569
005 2016-04-18
008 2015 bl uuuu u00u1 u #d
100 1 $aGOUVÊA, M. M.
245 $aAvaliação de inseticidas no controle da transmissão do tomato severe rugose virus por Bemisia tabaci.
260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 48.; CONGRESSO BRASILEIRO DE PATOLOGIA PÓS-COLHEITA, 2., 2015, São Pedro. Fitopatologia de precisão: fronteiras da ciência: anais. Brasília, DF: Sociedade Brasileira de Fitopatologia$c2015
300 $c1 CD-ROM.
520 $aO mosaico rugoso, causado pelo bogomovirus ToSRV, é uma das principais doenças do tomateiro. Neste trabalho avaliou-se a eficácia de quatro inseticidas.
650 $aBegomovirus
650 $aBemisia Tabaci
650 $aControle biológico
650 $aDoença
650 $aInseticida
650 $aMosca branca
650 $aTomate
653 $aDisease
653 $aTomato
700 1 $aFREITAS, D. M. S.
700 1 $aWATANABE, L. F. M.
700 1 $aREZENDE, J. A. M.
700 1 $aLOURENÇÃO, A. L.
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Embrapa Semiárido (CPATSA) |
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