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| Registros recuperados : 12 | |
| 1. |  | FREITAS, R. S.; DAHER, R. F.; VIDAL, A. K. F.; STIDA, W. F.; MENEZES, B. R. da S.; PEREIRA, A. V.; AMORIM NETO, S.; SANTOS, P. R. dos; SILVA, V. B. da; GOTTARDO, R. D. Dry matter yield and nutritional characteristics of elephant-grass genotypes. Journal of Experimental Agriculture International, v. 35, n. 5, p. 1-8, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 2. | | SOUSA, L. B.; DAHER, R. F.; MENEZES, B. R. da S.; STIDA, W. F.; TARDIN, F. D.; VIDAL, A. K. F.; GOMES, A. B. S.; PONCIANO, N. J.; SILVA, V. B. da; FREITAS, R. S. Biomass energy production in elephant-grass hybrids. Functional Plant Breeding Journal, v. 1, n. 2, article 4, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 3. | | STIDA, W. F.; ALMEIDA, B. de O.; DAHER, R. F.; MORAES, C. R. de O.; VIDAL, A. K. F.; FREITAS, R. S.; TARDIN, F. D.; MENEZES, B. R. da S.; FURLANI, E. P.; VIVAS, M. Effect of nitrogen and potassium fertilization doses on elephant-grass genotypes for energy purposes. Journal of Agricultural Science, v. 10, n. 10, p. 446-459, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | STIDA, W. F.; DAHER, R. F.; VIANA, A. P.; VIDAL, A. K. F.; FREITAS, R. S.; SILVA, V. B. da; PEREIRA, A. V.; CASSARO, S.; MENEZES, B. R. da S.; FURLANI, E. P. Estimation of genetic parameters and selection of elephant-grass ( Pennisetum purpureum Schumach.) for forage production using mixed models. Chilean journal of agricultural research, v. 78, n. 2, p. 198-204, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | FREITAS, R. S.; BARBÉ, T. da C.; DAHER, R. F.; VIDAL, A. K. F.; STIDA, W. F.; SILVA, V. B. da; MENEZES, B. R. da S.; PEREIRA, A. V. Chemical composition and energy yield of elephant-grass biomass as function of five different production ages. Journal of Agricultural Science (Toronto), v. 10, n. 1, p. 343-353, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | DAHER, R. F.; PEREIRA, A. V.; MENEZES, B. R. da S.; CASSARO, S.; NOVO, A. A. C.; FURLANI, E. P.; AMARAL JÚNIOR, A. T.; PEREIRA, M. G.; STIDA, W. F.; VIDAL, A. K. F. Canonical correlations among morpho-agronomic and chemical traits in hybrids between elephant grass and millet. Australian Journal of Crop Science, v. 12, n. 2, p. 210-216, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | VIDAL, A. K. F.; DAHER, R. F.; FREITAS, R. S.; STIDA, W. F.; TARDIN, F. D.; RODRIGUES, E. V.; SILVA, V. B. da; SANTOS, R. M.; SANTOS, P. R. dos; OLIVEIRA, T. R. A. de. Screening of elephant grass genotypes following some agro-marphological traits related to biomass production in Rio de Janeiro (Brazil). Journal of Experimental Agriculture International, v. 39, n. 6, p. 1-10, 2019. Article nº JEAI.50113.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | SOUZA, A. G. de; DAHER, R. F.; SANTANA, J. G. S.; AMBROSIO, M.; NASCIMENTO, M. R.; VIDAL, A. K. F.; SOUZA FILHO, B. F. de; MELO, L. C.; GRAVINA, G. de A.; SANTOS, R. M.; LEITE, C. L.; FARIAS, J. E. C.; STIDA, W. F.; ROCHA, R. S. Adaptability and stability of black bean genotypes for Rio de Janeiro, by GGE biplot analysis. Crop Breeding and Applied Biotechnology, v. 23, n. 2, e43972323, 2023.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | VIDAL, A.-K. F.; DAHER, R. F.; FREITAS, R. S.; STIDA, W. S.; LEDO, F. J. da S.; SILVA, V. B. da; ENTRINGER, G. C.; TARDIN, F. D.; GRAVINA, G. de A.; VIVAS, M.; SOUZA, A. G. de; AMBRÓSIO, M.; SANTANA, J.-G. da S.; FARIASA, J. E. C. Growth curve in elephant grass genotypes based on morpho-agronomic traits for energy production. Chilean Journal of Agricultural Research, v. 82, n. 1, p. 78-87, 2022.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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| 10. | | GRAVINA, L. M.; OLIVEIRA, T. R. A. de; DAHER, R. F.; GRAVINA, G. A.; VIDAL, A. K. F.; STIDA, W. F.; CRUZ, D. P.; SANT'ANNA, C. Q. S. S. de; ROCHA, R. S.; PEREIRA, A. V.; OLIVEIRA, G. H. F. de. Multivariate analysis in the selection of elephant grass genotypes for biomass production. Renewable Energy, v. 160, 1265-1268, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | VIDAL, A. K. F.; DAHER, R. F.; ANDRADE, E. K. V. de; FREITAS, R. S.; STIDA, W. F.; AMARAL JÚNIOR, A. T. do; MENEZES, B. R. da S.; PEREIRA, A. V.; SILVA, V. B. da; TARDIN, F. D.; OLIVEIRA, L. J. da S. de. Estimate of genetic diversity in germplasm of elephant grass accessions in Brazil using the Gower algorithm. Genetics and Molecular Research, v. 20, n. 4, gmr18944, 2021.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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| 12. | | 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. Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models. Scientia Agricola, v. 80, e20220103, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 12 | |
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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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Circulação/Nível: |
A - 2 |
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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: |
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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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Embrapa Gado de Leite (CNPGL) |
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