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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
21/09/2004 |
Data da última atualização: |
21/07/2011 |
Autoria: |
RADOMSKI, M. I.; WISNIEWSKI, C.; CURCIO, G. R.; RACHWAL, M. G.; SANTOS, C. A. M. |
Afiliação: |
Radomski, bolsista. Curcio e Rachwal, Pesquisadores da Embrapa Florestas. |
Título: |
Caracterização de ambientes de ocorrência natural e sua influência sobre o peso específico e o teor de polifenóis totais de folhas de espinheira-santa (Maytenus ilicifolia Mart). |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
Separata de: Revista Brasileira de Plantas Medicinais, Botucatu, v. 6, n. 2, p. 36-43, 2004. |
Idioma: |
Português |
Palavras-Chave: |
Maytenus iliciflia; Medicinal plants ecology; Specific foliar weight. |
Thesagro: |
Ecologia; Espinheira Santa; Planta Medicinal. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/38164/1/curcio.pdf
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Marc: |
LEADER 00839naa a2200229 a 4500 001 1309474 005 2011-07-21 008 2004 bl uuuu u00u1 u #d 100 1 $aRADOMSKI, M. I. 245 $aCaracterização de ambientes de ocorrência natural e sua influência sobre o peso específico e o teor de polifenóis totais de folhas de espinheira-santa (Maytenus ilicifolia Mart).$h[electronic resource] 260 $c2004 650 $aEcologia 650 $aEspinheira Santa 650 $aPlanta Medicinal 653 $aMaytenus iliciflia 653 $aMedicinal plants ecology 653 $aSpecific foliar weight 700 1 $aWISNIEWSKI, C. 700 1 $aCURCIO, G. R. 700 1 $aRACHWAL, M. G. 700 1 $aSANTOS, C. A. M. 773 $tSeparata de: Revista Brasileira de Plantas Medicinais, Botucatu$gv. 6, n. 2, p. 36-43, 2004.
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Registro original: |
Embrapa Florestas (CNPF) |
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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
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
01/12/2022 |
Data da última atualização: |
01/12/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Tree Genetics & Genomes, v. 18, n. 6, Article number: 44, Dec. 2022. |
DOI: |
https://doi.org/10.1007/s11295-022-01576-5 |
Idioma: |
Inglês |
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 |
Thesagro: |
Árvore Frutífera; Floresta; Melhoramento. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
Marc: |
LEADER 02460naa a2200253 a 4500 001 2149112 005 2022-12-01 008 2022 bl uuuu u00u1 u #d 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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