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Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
14/09/2006 |
Data da última atualização: |
17/07/2014 |
Autoria: |
BERNARDES FILHO, R.; OSIRO, D.; COLNAGO, L. A. |
Título: |
Preparação de amostras de DNA em vidro e mica, para realização de microscopia de força atômica. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
São Carlos, SP: Embrapa Instrumentação Agropecuária, 1997. |
Páginas: |
4 p. |
Série: |
(Embrapa Instrumentação Agropecuária. Pesquisa em Andamento, 20). |
Idioma: |
Português |
Palavras-Chave: |
Amostras de DNA; Microscopia de força atômica. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CNPDIA/9852/1/PA20_97.pdf
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Marc: |
LEADER 00596nam a2200169 a 4500 001 1029898 005 2014-07-17 008 1997 bl uuuu u0uu1 u #d 100 1 $aBERNARDES FILHO, R. 245 $aPreparação de amostras de DNA em vidro e mica, para realização de microscopia de força atômica. 260 $aSão Carlos, SP: Embrapa Instrumentação Agropecuária$c1997 300 $a4 p. 490 $a(Embrapa Instrumentação Agropecuária. Pesquisa em Andamento, 20). 653 $aAmostras de DNA 653 $aMicroscopia de força atômica 700 1 $aOSIRO, D. 700 1 $aCOLNAGO, L. A.
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Embrapa Instrumentação (CNPDIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Roraima. |
Data corrente: |
20/07/2021 |
Data da última atualização: |
20/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
PEDROZO, C. A.; ALCOFORADO, A. T. W.; MAYER, M. M.; SANTOS, R. F. dos; PESSONI, L. A. |
Afiliação: |
CASSIA ANGELA PEDROZO, CPAF-RR; IFRR; IFRR; UFRR; UFRR. |
Título: |
Repetibility of the yield traits of Brazil nut cultivated in Roraima. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Scientia Forestalis, v. 49, n.129, e3458, 2021. |
Idioma: |
Português |
Conteúdo: |
The objective of this study was to estimate the spatial repeatability coefficients of Bertholletia excelsa fruits and nuts using different statistical methods, as well as to define the minimum number of fruits and nuts to be evaluated for the selection of superior genotypes. Twenty-one genotypes in the 2017 crop and 28 genotypes in the 2018 crop were evaluated. From each genotype, 10 fruits and 10 nuts per fruit were sampled. Seven fruit traits and three nut traits were measured, which were used to estimate repeatability coefficients by four statistical methods: 1) analysis of variance; 2) main components based on the correlation matrix; 3) principal components based on the covariance matrix and 4) structural analysis based on the correlation matrix. Estimates of repeatability coefficients varied among crops, traits and estimation methods. In general, the coefficients presented moderate magnitudes, and the methods based on principal components provided the highest estimates. For the most economically important traits for the Brazil nut market, minimum sampling of 8 fruits and 7 nuts per genotype is required to select genotypes with determination coefficients above 85%. |
Thesagro: |
Bertholletia Excelsa. |
Thesaurus NAL: |
Genetic improvement; Variability. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224561/1/artigo-repetibilidade-castanheira.pdf
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Marc: |
LEADER 01783naa a2200205 a 4500 001 2133046 005 2021-07-20 008 2021 bl uuuu u00u1 u #d 100 1 $aPEDROZO, C. A. 245 $aRepetibility of the yield traits of Brazil nut cultivated in Roraima.$h[electronic resource] 260 $c2021 520 $aThe objective of this study was to estimate the spatial repeatability coefficients of Bertholletia excelsa fruits and nuts using different statistical methods, as well as to define the minimum number of fruits and nuts to be evaluated for the selection of superior genotypes. Twenty-one genotypes in the 2017 crop and 28 genotypes in the 2018 crop were evaluated. From each genotype, 10 fruits and 10 nuts per fruit were sampled. Seven fruit traits and three nut traits were measured, which were used to estimate repeatability coefficients by four statistical methods: 1) analysis of variance; 2) main components based on the correlation matrix; 3) principal components based on the covariance matrix and 4) structural analysis based on the correlation matrix. Estimates of repeatability coefficients varied among crops, traits and estimation methods. In general, the coefficients presented moderate magnitudes, and the methods based on principal components provided the highest estimates. For the most economically important traits for the Brazil nut market, minimum sampling of 8 fruits and 7 nuts per genotype is required to select genotypes with determination coefficients above 85%. 650 $aGenetic improvement 650 $aVariability 650 $aBertholletia Excelsa 700 1 $aALCOFORADO, A. T. W. 700 1 $aMAYER, M. M. 700 1 $aSANTOS, R. F. dos 700 1 $aPESSONI, L. A. 773 $tScientia Forestalis$gv. 49, n.129, e3458, 2021.
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