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| 361. |  | ALVES, R. M. M.; LEMOS, G. B. de; COSTA, M. P.; BARDUCHE, D. MORAES, M. G. de; CASTRO, E. M. de; C. FILHA, A. C. Efeitos do thidiazuron na atividade da fosfatase ácida durante a micropropagação da arnica (Solidago microglosa). In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 5., 1995, Lavras. Resumos... Lavras: UFLA, 1995. p. 196.| Biblioteca(s): Embrapa Amapá. |
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| 362. | | SOUZA, B. de A.; CARVALHO, C. A. L. de; ALVES, R. M. de O.; CARVALHO-ZILSE, G. A.; MEIRELLES, R. N. Manejo do meliponário. In: DRUMOND, P. M.; CARVALHO-ZILSE, G. A.; WITTER, S.; ALVES, R. M. de O.; DRUMMOND, M. S. (ed.). Meliponicultura: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa, 2024. p. 129-139, Cap.12| Biblioteca(s): Embrapa Meio-Norte. |
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| 363. | | CAMPOS, A. C. M. G. DE; ITO, D.; CARVALHO, J. L. V. de; OLIVEIRA, L. A. de; PACHECO, S.; ALVES, R. M. V. Influência da embalagem na vida de prateleira de chips. In: CONGRESSO BRASILEIRO DE POLÍMEROS, 13., 2015, Natal. [São Carlos: Associação Brasileira de Polímeros], 2015. 5 p.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 364. | | ALVES, R. M. V.; ITO, D.; CARVALHO, J. L. V. de; OLIVEIRA, L. A. de; PACHECO, S.; GOZZA, A. C.; JESUS, J. L. de. Influência do acondicionamento na retenção de B-caroteno em chips de mandioca biofortificada. In: REUNIÃO DE BIOFORTIFICAÇÃO NO BRASIL, 4., 2011, Teresina. Palestras e resumos... Rio de Janeiro: Embrapa Agroindústria de Alimentos; Teresina: Embrapa Meio-Norte, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 365. | | ALVES, R. M. V.; ITO, D.; CARVALHO, J. L. V. de; OLIVEIRA, L. A. de; PACHECO, S.; MOREIRA, C. Q.; SOUSA, M. R. Influência do acondicionamento na retenção de B-caroteno em farinha de raspa de mandioca biofortificada. In: REUNIÃO DE BIOFORTIFICAÇÃO NO BRASIL, 4., 2011, Teresina. Palestras e resumos... Rio de Janeiro: Embrapa Agroindústria de Alimentos; Teresina: Embrapa Meio-Norte, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Mandioca e Fruticultura. |
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| 366. | | ALVES, R. M. V. O; ITO, D.; CARVALHO, J. L. V. de; OLIVEIRA, L. A. de; PACHECO, S.; GOZZA, A. C.; JESUS, J. L. de. Influência do acondicionamento na retenção de ß-caroteno em chips de mandioca biofortificada. In: REUNIÃO DE BIOFORTIFICAÇÃO NO BRASIL, 4., 2011. Teresina. Palestras e resumos... Rio de Janeiro: Embrapa Agroindústria de Alimentos; Teresina: Embrapa Meio-Norte, 2011. 1 CD-ROM. Coordenadores: Marília Regini Nutti, Maurisrael de Moura Rocha.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 367. | | ALVES, R. M. V.; CAMPOS, A. C. M. G. de; ITO, D.; CARVALHO, J. L. V. de; OLIVEIRA, L. A. de; PACHECO, S. Stability of biofortified cassava fried chips. In: WORLD CONGRESS OF FOOD SCIENCE AND TECHNOLOGY & EXPO, 17., 2014, Montreal. Book of abstracts. [S.l.]: IUFoST, 2014. Ref. UP488.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 368. | | PARANHOS, B. A. J.; MCLNNIS, D.; URAMOTO, K.; DAMASCENO, I.; GONÇALVES, N.; ALVES, R. M.; COSTA, M. de L.; WALDER, J.; MALAVASI, A.; NASCIMENTO, A. Sterile medfly males of the TSL Vienna 8 genetic sexing strain display improved mating performance with ginger root oil. In: INTERNATIONAL SYMPOSIUM ON FRUIT FLIES OF ECONOMIC IMPORTANCE FROM BASIC TO APPLIED KNOWLEDGE, 7., 2006, Salvador. Proceedings... Salvador: SBPC, 2008. p. 313-318.| Biblioteca(s): Embrapa Semiárido. |
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| 369. | | PARANHOS, B. A. J.; MCINNIS, D.; URAMOTO, K.; DAMASCENO, I.; GONÇALVES, N.; ALVES, R. M.; COSTA, M. de L.; WALDER, J.; MALAVASI, A.; NASCIMENTO, A. Sterile medfly males of the TSL Vienna 8 genetic sexing strain improved mating performance with ginger root oil. In: INTERNATIONAL SYMPOSIUM ON FRUIT FLIES OF ECONOMIC IMPORTANCE, 7.; MEETING OF THE WORKING GROUP ON FRUIT FLIES OF THE WESTERN HEMISPHERE, 6., 2006, Salvador. Proceedings... Salvador: Fruitfly, 2006. 1 CD-ROM.| Biblioteca(s): Embrapa Semiárido. |
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| 370. | | CHAVES, S. F. da S.; ALVES, R. M.; ALVES, R. S.; SEBBENN, A. M.; RESENDE, M. D. V. de; DIAS, L. A. dos S. Theobroma grandiflorum breeding optimization based on repeatability, stability and adaptability information. Euphytica, v. 217, n. 12, Article number 211, Dec. 2021.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Café. |
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| 374. | | CUNHA, R. L. M. da; GALVÃO, J. R.; ALVES, R. M.; GOMES, V. A.; OLIVEIRA, F. C. de; FERREIRA, I. V. L. Ecofisiologia de progênie de cupuaçuzeiro submetida a déficit hídrico e reidratação. Revista Brasileira de Agricultura Irrigada, v. 12, n. 2, p. 2500-509, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 376. | | SOUZA, L. S.; ALVES, R. M. de O.; CARVALHO, C. A. L. de; SOUZA, B. de A.; LEDO, C. A. da S. Classificação de colônias de Melipona Scutellaris latreille, 1811, (Hymenoptera: apidae) utilizando o índice soma de Ranks. In: CONGRESSO IBEROLATINOAMERICANO DE APICULTURA, 10., 2010, Natal. O meio ambiente e a apicultura no agronegócio. Natal: FILAPI: CBA: SEBRAE: FARN, 2010.| Biblioteca(s): Embrapa Meio-Norte. |
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| 377. | | RAMOS, G. K. de S.; RODRIGUES, S. de M.; LEMOS, O. F. de; ALVES, R. M.; SANTOS, L. R. R. dos. Calogênese em diferentes explantes de Theobroma grandiflorum. In: CONGRESSO BRASILEIRO DE FLORICULTURA E PLANTAS ORNAMENTAIS, 19.; CONGRESSO BRASILEIRO DE CULTURA DE TECIDOS DE PLANTAS, 6., 2013, Recife. Anais dos trabalhos. Recife: UFRPE, 2013.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 378. | | SANTOS, T. G. dos; PEDROZA NETO, J. L.; CHAVES, S. F. da S.; ALVES, R. M.; SILVA, A. B. M. da; JOSE, A. R. M. Characterization of the genetic structure of a cupuassu tree population collected in primary forest. Revista Brasileira de Ciências Agrárias, v. 17, n. 4, e1592, 2022.| Biblioteca(s): Embrapa Amazônia Oriental. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
01/12/2022 |
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Data da última atualização: |
01/12/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FERREIRA, F. M.; DIAS, L. A. S.; ALVES, R. M.; DIAS, K. O. G.; BHERING, L. L. |
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Afiliação: |
SAULO F. S. CHAVES, UNIVERSIDADE FEDERAL DE VIÇOSA; JENIFFER S. P. C. EVANGELISTA, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO S. ALVES, UNIVERSIDADE FEDERAL DE LAVRAS; FILIPE M. FERREIRA, UNIVERSIDADE FEDERAL DE VIÇOSA; LUIZ A. S. DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA; RAFAEL MOYSES ALVES, CPATU; KAIO O. G. DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA; LEONARDO L. BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Tree Genetics & Genomes, v. 18, n. 6, Article number: 44, Dec. 2022. |
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DOI: |
https://doi.org/10.1007/s11295-022-01576-5 |
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Idioma: |
Inglês |
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Conteúdo: |
The optimization of perennial plant breeding necessarily involves the evaluation of multi-harvest and/or multi-site trials. In these situations, modeling covariance structures can elevate accuracy. This study aimed to evaluate different covariance structures for multi-harvest and multi-site trial analyses, using two datasets (D1 and D2). In D1, 25 hybrids of Theobroma grandiflorum were evaluated in a complete randomized block design, during twelve consecutive harvest years. In D2, 215 clones of Eucalyptus spp. were evaluated in a complete randomized block design, in four sites. For both datasets, the covariance structures of the random effects were modeled, and their adequacy was tested by the Akaike and Bayesian information criteria. From the selected model, the variance components and genetic parameters were estimated. We also compared the expected genetic gains and the rankings of genotypes based on the genotypic values provided by the basic and the selected models. For D1, the third-order factor analytic model was the most suitable for genetic effects, while for D2, the unstructured model showed the best fit for such effects. The models provided a better insight into the variances dynamics over the harvest years/sites. The genetic gains were 3.52 percentage points higher in D1 and did not change in D2. Despite similar results, the standard model, modeled with covariance structures that assume homogeneity of co-variances, was not the most statistically appropriate model for D2 according to the information criteria. Therefore, the modeling of covariance structures can and should be used in the genetic evaluation of perennial plants MenosThe optimization of perennial plant breeding necessarily involves the evaluation of multi-harvest and/or multi-site trials. In these situations, modeling covariance structures can elevate accuracy. This study aimed to evaluate different covariance structures for multi-harvest and multi-site trial analyses, using two datasets (D1 and D2). In D1, 25 hybrids of Theobroma grandiflorum were evaluated in a complete randomized block design, during twelve consecutive harvest years. In D2, 215 clones of Eucalyptus spp. were evaluated in a complete randomized block design, in four sites. For both datasets, the covariance structures of the random effects were modeled, and their adequacy was tested by the Akaike and Bayesian information criteria. From the selected model, the variance components and genetic parameters were estimated. We also compared the expected genetic gains and the rankings of genotypes based on the genotypic values provided by the basic and the selected models. For D1, the third-order factor analytic model was the most suitable for genetic effects, while for D2, the unstructured model showed the best fit for such effects. The models provided a better insight into the variances dynamics over the harvest years/sites. The genetic gains were 3.52 percentage points higher in D1 and did not change in D2. Despite similar results, the standard model, modeled with covariance structures that assume homogeneity of co-variances, was not the most statistically appropriate model f... Mostrar Tudo |
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Thesagro: |
Árvore Frutífera; Floresta; Melhoramento. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
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024 7 $ahttps://doi.org/10.1007/s11295-022-01576-5$2DOI
100 1 $aCHAVES, S. F. S.
245 $aApplication of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding.$h[electronic resource]
260 $c2022
520 $aThe optimization of perennial plant breeding necessarily involves the evaluation of multi-harvest and/or multi-site trials. In these situations, modeling covariance structures can elevate accuracy. This study aimed to evaluate different covariance structures for multi-harvest and multi-site trial analyses, using two datasets (D1 and D2). In D1, 25 hybrids of Theobroma grandiflorum were evaluated in a complete randomized block design, during twelve consecutive harvest years. In D2, 215 clones of Eucalyptus spp. were evaluated in a complete randomized block design, in four sites. For both datasets, the covariance structures of the random effects were modeled, and their adequacy was tested by the Akaike and Bayesian information criteria. From the selected model, the variance components and genetic parameters were estimated. We also compared the expected genetic gains and the rankings of genotypes based on the genotypic values provided by the basic and the selected models. For D1, the third-order factor analytic model was the most suitable for genetic effects, while for D2, the unstructured model showed the best fit for such effects. The models provided a better insight into the variances dynamics over the harvest years/sites. The genetic gains were 3.52 percentage points higher in D1 and did not change in D2. Despite similar results, the standard model, modeled with covariance structures that assume homogeneity of co-variances, was not the most statistically appropriate model for D2 according to the information criteria. Therefore, the modeling of covariance structures can and should be used in the genetic evaluation of perennial plants
650 $aÁrvore Frutífera
650 $aFloresta
650 $aMelhoramento
700 1 $aEVANGELISTA, J. S. P. C.
700 1 $aALVES, R. S.
700 1 $aFERREIRA, F. M.
700 1 $aDIAS, L. A. S.
700 1 $aALVES, R. M.
700 1 $aDIAS, K. O. G.
700 1 $aBHERING, L. L.
773 $tTree Genetics & Genomes$gv. 18, n. 6, Article number: 44, Dec. 2022.
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