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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
03/09/2004 |
Data da última atualização: |
23/06/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
LOPES, P. R. C.; HAJI, F. N. P. |
Afiliação: |
PAULO ROBERTO COELHO LOPES, CPATSA; FRANCISCA NEMAURA PEDROSA HAJI, CPATSA. |
Título: |
Situação da produção integrada de frutas no Vale do São Francisco. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
In: SEMINÁRIO BRASILEIRO DE PRODUÇÃO INTEGRADA DE FRUTAS, 6., 2004, Petrolina. Resumos... Petrolina: Embrapa Semi-Árido: Valexport, 2004. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Português |
Conteúdo: |
Com o objetivo de melhorar os Sistemas de Produção em uso pelos agricultores, garantindo a qualidade e a sustentabilidade do processo de produção de frutas. |
Palavras-Chave: |
Certificação; Vale do São Francisco. |
Thesagro: |
Fruta; Produção Integrada; Qualidade. |
Thesaurus Nal: |
Fruits. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPATSA/29840/1/OPB602.pdf
|
Marc: |
LEADER 00811nam a2200205 a 4500 001 1154198 005 2022-06-23 008 2004 bl uuuu u00u1 u #d 100 1 $aLOPES, P. R. C. 245 $aSituação da produção integrada de frutas no Vale do São Francisco. 260 $aIn: SEMINÁRIO BRASILEIRO DE PRODUÇÃO INTEGRADA DE FRUTAS, 6., 2004, Petrolina. Resumos... Petrolina: Embrapa Semi-Árido: Valexport$c2004 300 $c1 CD-ROM. 520 $aCom o objetivo de melhorar os Sistemas de Produção em uso pelos agricultores, garantindo a qualidade e a sustentabilidade do processo de produção de frutas. 650 $aFruits 650 $aFruta 650 $aProdução Integrada 650 $aQualidade 653 $aCertificação 653 $aVale do São Francisco 700 1 $aHAJI, F. N. P.
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Embrapa Semiárido (CPATSA) |
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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
12/07/2013 |
Data da última atualização: |
19/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
JESUS, O. N. de; FREITAS, J. P. de; DANTAS, J. L.; OLIVEIRA, E. J. de. |
Afiliação: |
ONILDO NUNES DE JESUS, CNPMF; J. P. DE FREITAS; J. L. DANTAS; EDER JORGE DE OLIVEIRA, CNPMF. |
Título: |
Use of morpho-agronomic traits and DNA profiling for classification of genetic diversity in papaya. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Genetics and Molecular Research, v.1, n.2, Mar. 2013. |
ISSN: |
1676-5680 |
Idioma: |
Inglês |
Conteúdo: |
We examined the genetic diversity of papaya (Carica papaya) based on morph-agronomic and molecular data. Twenty-seven genotypes grown in Brazil were analyzed with 11 AFLP primer combinations, 23 ISSR markers, 22 qualitative and 30 quantitative descriptors. For the joint analyses, we used the Gower algorithm (Joint Gower) and the average value of the individual dissimilarity matrix for each type of data (Average-Joint Gower); 359 AFLP and 52 ISSR polymorphic bands were found. Approximately 29.2 and 7.7% of the AFLP and ISSR bands, respectively, were genotype-specific and may therefore be used for papaya variety protection. Although there was a significant correlation between the qualitative and quantitative descriptor dissimilarity matrices (r = 0.43), the morph-agronomic data were not highly correlated with the molecular data. Moreover, correlation between AFLP and ISSR dissimilarity matrices was nearly null (r = -0.01). Joint Gower analysis of all data showed high correlations, especially for AFLP markers, most likely due to the larger number of bands, generating a strong bias in the diversity estimates. The Joint-Average-Gower analysis allowed a better balance between the correlations for the continuous and the discrete variables. The results generated by clustering analysis distinguished 5 genetically distinct groups. While we found that papaya genotypes are significantly variable for many traits, we observed that Joint-Average-Gower analysis allowed for genotype clustering based on the most widely used criterion for classifying papaya genotypes, which is fruit type ('Formosa' or 'Solo'). This information helps provide an accurate estimate of the genetic diversity and structure of papaya germplasm, which will be used for further breeding strategies. MenosWe examined the genetic diversity of papaya (Carica papaya) based on morph-agronomic and molecular data. Twenty-seven genotypes grown in Brazil were analyzed with 11 AFLP primer combinations, 23 ISSR markers, 22 qualitative and 30 quantitative descriptors. For the joint analyses, we used the Gower algorithm (Joint Gower) and the average value of the individual dissimilarity matrix for each type of data (Average-Joint Gower); 359 AFLP and 52 ISSR polymorphic bands were found. Approximately 29.2 and 7.7% of the AFLP and ISSR bands, respectively, were genotype-specific and may therefore be used for papaya variety protection. Although there was a significant correlation between the qualitative and quantitative descriptor dissimilarity matrices (r = 0.43), the morph-agronomic data were not highly correlated with the molecular data. Moreover, correlation between AFLP and ISSR dissimilarity matrices was nearly null (r = -0.01). Joint Gower analysis of all data showed high correlations, especially for AFLP markers, most likely due to the larger number of bands, generating a strong bias in the diversity estimates. The Joint-Average-Gower analysis allowed a better balance between the correlations for the continuous and the discrete variables. The results generated by clustering analysis distinguished 5 genetically distinct groups. While we found that papaya genotypes are significantly variable for many traits, we observed that Joint-Average-Gower analysis allowed for genotype clusteri... Mostrar Tudo |
Palavras-Chave: |
Genetic variability; Melhoramento genético; Variabilidade genética. |
Thesagro: |
Carica Papaya; Mamão. |
Thesaurus NAL: |
Algorithms; Genetic resources. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02537naa a2200253 a 4500 001 1961948 005 2023-05-19 008 2013 bl uuuu u00u1 u #d 022 $a1676-5680 100 1 $aJESUS, O. N. de 245 $aUse of morpho-agronomic traits and DNA profiling for classification of genetic diversity in papaya.$h[electronic resource] 260 $c2013 520 $aWe examined the genetic diversity of papaya (Carica papaya) based on morph-agronomic and molecular data. Twenty-seven genotypes grown in Brazil were analyzed with 11 AFLP primer combinations, 23 ISSR markers, 22 qualitative and 30 quantitative descriptors. For the joint analyses, we used the Gower algorithm (Joint Gower) and the average value of the individual dissimilarity matrix for each type of data (Average-Joint Gower); 359 AFLP and 52 ISSR polymorphic bands were found. Approximately 29.2 and 7.7% of the AFLP and ISSR bands, respectively, were genotype-specific and may therefore be used for papaya variety protection. Although there was a significant correlation between the qualitative and quantitative descriptor dissimilarity matrices (r = 0.43), the morph-agronomic data were not highly correlated with the molecular data. Moreover, correlation between AFLP and ISSR dissimilarity matrices was nearly null (r = -0.01). Joint Gower analysis of all data showed high correlations, especially for AFLP markers, most likely due to the larger number of bands, generating a strong bias in the diversity estimates. The Joint-Average-Gower analysis allowed a better balance between the correlations for the continuous and the discrete variables. The results generated by clustering analysis distinguished 5 genetically distinct groups. While we found that papaya genotypes are significantly variable for many traits, we observed that Joint-Average-Gower analysis allowed for genotype clustering based on the most widely used criterion for classifying papaya genotypes, which is fruit type ('Formosa' or 'Solo'). This information helps provide an accurate estimate of the genetic diversity and structure of papaya germplasm, which will be used for further breeding strategies. 650 $aAlgorithms 650 $aGenetic resources 650 $aCarica Papaya 650 $aMamão 653 $aGenetic variability 653 $aMelhoramento genético 653 $aVariabilidade genética 700 1 $aFREITAS, J. P. de 700 1 $aDANTAS, J. L. 700 1 $aOLIVEIRA, E. J. de 773 $tGenetics and Molecular Research$gv.1, n.2, Mar. 2013.
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