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Registro Completo |
Biblioteca(s): |
Embrapa Uva e Vinho. |
Data corrente: |
30/10/2009 |
Data da última atualização: |
28/07/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
POPPE, J. K.; FAJARDO, T. V. M.; EIRAS, M.; NICKEL, O. |
Afiliação: |
JAKELINE KATHIELE POPPE, UERGS; THOR VINICIUS MARTINS FAJARDO, CNPUV; MARCELO EIRAS, INSTITUTO BIOLÓGICO; OSMAR NICKEL, CNPUV. |
Título: |
Comprovação da época adequada para o diagnóstico e caracterização molecular do gene da proteína capsidial do Grapevine leaf-roll-associated virus 1. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA UVA E VINHO, 7.; ENCONTRO DE PÓS-GRADUANDOS DA EMBRAPA UVA E VINHO, 3., 2009, Bento Gonçalves. Resumos... Bento Gonçalves: Embrapa Uva e Vinho, 2009. |
Páginas: |
p. 28. |
Idioma: |
Português |
Conteúdo: |
O enrolamento da folha é uma importante doença da videira, podendo ser causada por até nove espécies do vírus do enrolamento da folha da videira (GLRaV). O GLRaV-1 destaca-se pela incidência e pela transmissão por cochonilhas. O objetivo deste trabalho foi comprovar a época adequada para a realização do diagnóstico (ELISA e RT-PCR) e caracterizar molecularmente o gene da proteína capsidial (CP) do GLRaV-1. |
Palavras-Chave: |
Anais; Caracterização molecular; CNPUV; IC; Iniciação cientifica. |
Thesagro: |
Diagnóstico; DNA; Doença de planta; Uva; Vírus; Viticultura. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/573771/1/Resumos-7IC-2009-fINAL3-1-28.pdf
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Marc: |
LEADER 01412nam a2200289 a 4500 001 1573771 005 2022-07-28 008 2009 bl uuuu u00u1 u #d 100 1 $aPOPPE, J. K. 245 $aComprovação da época adequada para o diagnóstico e caracterização molecular do gene da proteína capsidial do Grapevine leaf-roll-associated virus 1.$h[electronic resource] 260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA UVA E VINHO, 7.; ENCONTRO DE PÓS-GRADUANDOS DA EMBRAPA UVA E VINHO, 3., 2009, Bento Gonçalves. Resumos... Bento Gonçalves: Embrapa Uva e Vinho$c2009 300 $ap. 28. 520 $aO enrolamento da folha é uma importante doença da videira, podendo ser causada por até nove espécies do vírus do enrolamento da folha da videira (GLRaV). O GLRaV-1 destaca-se pela incidência e pela transmissão por cochonilhas. O objetivo deste trabalho foi comprovar a época adequada para a realização do diagnóstico (ELISA e RT-PCR) e caracterizar molecularmente o gene da proteína capsidial (CP) do GLRaV-1. 650 $aDiagnóstico 650 $aDNA 650 $aDoença de planta 650 $aUva 650 $aVírus 650 $aViticultura 653 $aAnais 653 $aCaracterização molecular 653 $aCNPUV 653 $aIC 653 $aIniciação cientifica 700 1 $aFAJARDO, T. V. M. 700 1 $aEIRAS, M. 700 1 $aNICKEL, O.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
16/11/2023 |
Data da última atualização: |
16/11/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
COSTA, C. dos S. R.; LIMA, M. A. C. de; LIMA NETO, F. P.; COSTA, A. E. da S.; VILVERT, J. C.; MARTINS, L. S. S.; MUSSER, R. dos S. |
Afiliação: |
CRISTINA DOS SANTOS RIBEIRO COSTA, UFRPE; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; FRANCISCO PINHEIRO LIMA NETO, CPATSA; ANTONIO ELTON DA SILVA COSTA, UNIVASF; JOÃO CLAUDIO VILVERT, State University of Southwest Bahia, Vitória da Conquista, BA; LUIZA SUELY SEMEN MARTINS, UFRPE; ROSIMAR DOS SANTOS MUSSER, UFRPE. |
Título: |
Genetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Scientia Horticulturae, v. 317, 112049, 2023. |
DOI: |
https://doi.org/10.1016/j.scienta.2023.112049 |
Idioma: |
Inglês |
Conteúdo: |
Mango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region. MenosMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18... Mostrar Tudo |
Palavras-Chave: |
Multicaracterística FAI-BLUP; Parâmetros genéticos. |
Thesagro: |
Fruta Tropical; Genótipo; Manga; Mangifera Indica. |
Thesaurus NAL: |
Fruit quality; Mangoes; Selection index. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 03024naa a2200313 a 4500 001 2158450 005 2023-11-16 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.scienta.2023.112049$2DOI 100 1 $aCOSTA, C. dos S. R. 245 $aGenetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index.$h[electronic resource] 260 $c2023 520 $aMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region. 650 $aFruit quality 650 $aMangoes 650 $aSelection index 650 $aFruta Tropical 650 $aGenótipo 650 $aManga 650 $aMangifera Indica 653 $aMulticaracterística FAI-BLUP 653 $aParâmetros genéticos 700 1 $aLIMA, M. A. C. de 700 1 $aLIMA NETO, F. P. 700 1 $aCOSTA, A. E. da S. 700 1 $aVILVERT, J. C. 700 1 $aMARTINS, L. S. S. 700 1 $aMUSSER, R. dos S. 773 $tScientia Horticulturae$gv. 317, 112049, 2023.
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