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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio-Norte. Para informações adicionais entre em contato com cpamn.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
06/06/2018 |
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Data da última atualização: |
16/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MAULVAULT, A. L.; CAMACHO, C.; BARBOSA, V.; ALVES, R.; ANACLETO, P.; FOGACA, F. H. dos S.; KWADIJK, C.; KOTTERMAN, M.; CUNHA, S. C.; FERNANDES, J. O.; RASMUSSEN, R. R.; SLOTH, J. J.; AZNAR-ALEMANY, O. A.; ELJARRAT, E.; BARCELÓ, D.; MARQUES, A. |
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Afiliação: |
ANA LUÍSA MAULVAULT; CAROLINA CAMACHO; VERA BARBOSA; RICARDO ALVES; PATRÍCIA ANACLETO; FABIOLA HELENA DOS SANTOS FOGACA, CPAMN; CHRISTIAAN KWADIJK; MICHIEL KOTTERMAN; SARA C. CUNHA; JOSÉ O. FERNANDES; RIE R. RASMUSSEN; JENS J. SLOTH; ÒSCAR AZNAR-ALEMANY; ETHEL ELJARRAT; DAMIÀ BARCELÓ; ANTÓNIO MARQUES. |
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Título: |
Assessing the effects of seawater temperature and pH on the bioaccumulation of emerging chemical contaminants in marine bivalves. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Environmental Research, v. 161, p. 236-247, 2018. |
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Idioma: |
Inglês |
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Notas: |
Autoria na publicação: Fabíola Fogaça. |
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Conteúdo: |
Emerging chemical contaminants [e.g. toxic metals speciation, flame retardants (FRs) and perfluorinated compounds (PFCs), among others], that have not been historically recognized as pollutants nor their toxicological hazards, are increasingly more present in the marine environment. Furthermore, the effects of environmental conditions (e.g. temperature and pH) on bioaccumulation and elimination mechanisms ... |
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Palavras-Chave: |
Contaminantes químicos emergentes; Elementos tóxicos. |
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Thesagro: |
Aquecimento. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01466naa a2200349 a 4500
001 2092263
005 2022-05-16
008 2018 bl uuuu u00u1 u #d
100 1 $aMAULVAULT, A. L.
245 $aAssessing the effects of seawater temperature and pH on the bioaccumulation of emerging chemical contaminants in marine bivalves.$h[electronic resource]
260 $c2018
500 $aAutoria na publicação: Fabíola Fogaça.
520 $aEmerging chemical contaminants [e.g. toxic metals speciation, flame retardants (FRs) and perfluorinated compounds (PFCs), among others], that have not been historically recognized as pollutants nor their toxicological hazards, are increasingly more present in the marine environment. Furthermore, the effects of environmental conditions (e.g. temperature and pH) on bioaccumulation and elimination mechanisms ...
650 $aAquecimento
653 $aContaminantes químicos emergentes
653 $aElementos tóxicos
700 1 $aCAMACHO, C.
700 1 $aBARBOSA, V.
700 1 $aALVES, R.
700 1 $aANACLETO, P.
700 1 $aFOGACA, F. H. dos S.
700 1 $aKWADIJK, C.
700 1 $aKOTTERMAN, M.
700 1 $aCUNHA, S. C.
700 1 $aFERNANDES, J. O.
700 1 $aRASMUSSEN, R. R.
700 1 $aSLOTH, J. J.
700 1 $aAZNAR-ALEMANY, O. A.
700 1 $aELJARRAT, E.
700 1 $aBARCELÓ, D.
700 1 $aMARQUES, A.
773 $tEnvironmental Research$gv. 161, p. 236-247, 2018.
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
17/08/2021 |
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Data da última atualização: |
17/08/2021 |
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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: |
RODRIGUES, E. V.; DAHER, R. F.; GRAVINA, G. de A.; VIANA, A. P.; ARAUJO, M. do S. B. de; OLIVEIRA, M. L. F.; VIVAS, M.; MENEZES, B. R. da S.; PEREIRA, A. V. |
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Afiliação: |
ERINA VITÓRIO RODRIGUES, Universidade de Brasília; ROGÉRIO FIGUEIREDO DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO DE AMARAL GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ALEXANDRE PIO VIANA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARIA DO SOCORRO BEZERRA DE ARAÚJO, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARIA LORRAINE FONSECA OLIVEIRA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MARCELO VIVAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; BRUNA RAFAELA DA SILVA MENEZES, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL. |
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Título: |
Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for forage production. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Bioscience Journal, v. 36, n. 1, p. 30-41, Jan./Feb. 2020. |
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DOI: |
http://dx.doi.org/10.14393/BJ-v36n1a2020-42075 |
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Idioma: |
Inglês |
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Conteúdo: |
In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability. MenosIn forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurem... Mostrar Tudo |
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Palavras-Chave: |
Coefficient of determination; Dry matter yield; Main components. |
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Thesagro: |
Capim Elefante; Forragem; Matéria Seca; Pennisetum Purpureum. |
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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/item/225234/1/Repeatability-estimates.pdf
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Marc: |
LEADER 02605naa a2200313 a 4500
001 2133624
005 2021-08-17
008 2020 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.14393/BJ-v36n1a2020-42075$2DOI
100 1 $aRODRIGUES, E. V.
245 $aRepeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for forage production.$h[electronic resource]
260 $c2020
520 $aIn forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability.
650 $aCapim Elefante
650 $aForragem
650 $aMatéria Seca
650 $aPennisetum Purpureum
653 $aCoefficient of determination
653 $aDry matter yield
653 $aMain components
700 1 $aDAHER, R. F.
700 1 $aGRAVINA, G. de A.
700 1 $aVIANA, A. P.
700 1 $aARAUJO, M. do S. B. de
700 1 $aOLIVEIRA, M. L. F.
700 1 $aVIVAS, M.
700 1 $aMENEZES, B. R. da S.
700 1 $aPEREIRA, A. V.
773 $tBioscience Journal$gv. 36, n. 1, p. 30-41, Jan./Feb. 2020.
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