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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
17/02/2011 |
Data da última atualização: |
19/10/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
MACHADO, C. de F.; SOUZA, F. V. D.; CABRAL, J. R. S.; LEDO, C. A. da S. |
Afiliação: |
CRISTINA DE FATIMA MACHADO, CNPMF; FERNANDA VIDIGAL DUARTE SOUZA, CNPMF; JOSE RENATO CABRAL AMORIM, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF. |
Título: |
Cluster analysis using quantitative, qualitative and molecular variables for genetic diversity studies in pineapple genotypes. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Pineapple News, n. 17, p. 8, Aug. 2010. Addendum to Newsletter Pineapple Working Group of the I.S.H.S. |
Idioma: |
Inglês |
Notas: |
Disponível em: < http://www.ishs-horticulture.org/workinggroups/pineapple/PineNews17_addendum.pdf> Acesso em: 16 fev. 2011. Edição de Abstracts of the 7th International Pineapple Symposium, Johor Baru, Malaysia, 2010. |
Conteúdo: |
Cluster analysis using quantitative, qualitative and molecular variables has been demonstrated to be a useful tool in estimating genetic diversity between genotypes in germplasm collections. The objective of the present study was to carry out a simultaneous analysis of quantitative, qualitative and molecular variables followed by clustering for studying the genetic diversity between pineapple genotypes using the Gower algorithm. Eleven quantitative, five qualitative and forty three molecular characteristics in ninety pineapple genotypes were evaluated. The cophenetic correlation coefficient of the joint analysis was higher when compared with the individual analysis coefficients. It was observed fifteen groups which indicate higher variability among the genotypes evaluated. The simultaneous analysis of the quantitative, qualitative and molecular variables was efficient in the expression of the genetic diversity between pineapple genotypes when compared to the individual analysis for each type of variable. |
Palavras-Chave: |
Pineapple. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01849nam a2200169 a 4500 001 1877669 005 2023-10-19 008 2010 bl uuuu u00u1 u #d 100 1 $aMACHADO, C. de F. 245 $aCluster analysis using quantitative, qualitative and molecular variables for genetic diversity studies in pineapple genotypes.$h[electronic resource] 260 $aPineapple News, n. 17, p. 8, Aug. 2010. Addendum to Newsletter Pineapple Working Group of the I.S.H.S.$c2010 500 $aDisponível em: < http://www.ishs-horticulture.org/workinggroups/pineapple/PineNews17_addendum.pdf> Acesso em: 16 fev. 2011. Edição de Abstracts of the 7th International Pineapple Symposium, Johor Baru, Malaysia, 2010. 520 $aCluster analysis using quantitative, qualitative and molecular variables has been demonstrated to be a useful tool in estimating genetic diversity between genotypes in germplasm collections. The objective of the present study was to carry out a simultaneous analysis of quantitative, qualitative and molecular variables followed by clustering for studying the genetic diversity between pineapple genotypes using the Gower algorithm. Eleven quantitative, five qualitative and forty three molecular characteristics in ninety pineapple genotypes were evaluated. The cophenetic correlation coefficient of the joint analysis was higher when compared with the individual analysis coefficients. It was observed fifteen groups which indicate higher variability among the genotypes evaluated. The simultaneous analysis of the quantitative, qualitative and molecular variables was efficient in the expression of the genetic diversity between pineapple genotypes when compared to the individual analysis for each type of variable. 653 $aPineapple 700 1 $aSOUZA, F. V. D. 700 1 $aCABRAL, J. R. S. 700 1 $aLEDO, C. A. da S.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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Registro Completo
Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Leite. |
Data corrente: |
22/04/2019 |
Data da última atualização: |
22/04/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
PESSOA FILHO, M. A. C. de P.; SOUZA SOBRINHO, F. de; FRAGOSO, R. da R.; SILVA JUNIOR, O. B. da; FERREIRA, M. E. |
Afiliação: |
MARCO AURELIO CALDAS DE PINHO PESSO, CPAC; FAUSTO DE SOUZA SOBRINHO, CNPGL; RODRIGO DA ROCHA FRAGOSO, CPAC; ORZENIL BONFIM DA SILVA JUNIOR, Cenargen; MARCIO ELIAS FERREIRA, Cenargen. |
Título: |
Improving the use of genomic tools in tropical forage grass breeding with diploid ruzigrass as a reference. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: INTERNATIONAL FORAGE & TURF BREEDING CONFERENCE, 2019, Lake Buena Vista, FL. A global vision for innovation: abstract book... Lake Buena Vista: University of Florida, 2019. |
Páginas: |
p. 92. |
Idioma: |
Inglês |
Thesagro: |
Brachiaria Ruziziensis; Forrageira Tropical; Genoma; Melhoramento Genético Vegetal. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/196085/1/iftbc-2019-online-abstract-boopg92.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/211473/1/Resumo-iftbc-2019-SouzaSobrinho-Improving.pdf
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Marc: |
LEADER 00817nam a2200205 a 4500 001 2108398 005 2019-04-22 008 2019 bl uuuu u00u1 u #d 100 1 $aPESSOA FILHO, M. A. C. de P. 245 $aImproving the use of genomic tools in tropical forage grass breeding with diploid ruzigrass as a reference.$h[electronic resource] 260 $aIn: INTERNATIONAL FORAGE & TURF BREEDING CONFERENCE, 2019, Lake Buena Vista, FL. A global vision for innovation: abstract book... Lake Buena Vista: University of Florida$c2019 300 $ap. 92. 650 $aBrachiaria Ruziziensis 650 $aForrageira Tropical 650 $aGenoma 650 $aMelhoramento Genético Vegetal 700 1 $aSOUZA SOBRINHO, F. de 700 1 $aFRAGOSO, R. da R. 700 1 $aSILVA JUNIOR, O. B. da 700 1 $aFERREIRA, M. E.
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