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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
16/11/2023 |
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Data da última atualização: |
16/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Genetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Scientia Horticulturae, v. 317, 112049, 2023. |
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DOI: |
https://doi.org/10.1016/j.scienta.2023.112049 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Multicaracterística FAI-BLUP; Parâmetros genéticos. |
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Thesagro: |
Fruta Tropical; Genótipo; Manga; Mangifera Indica. |
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Thesaurus Nal: |
Fruit quality; Mangoes; Selection index. |
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Categoria do assunto: |
G Melhoramento Genético |
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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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Registro original: |
Embrapa Semiárido (CPATSA) |
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Biblioteca |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
28/11/2023 |
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Data da última atualização: |
28/11/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MORAES, M. J.; PINHO, L. F.; PEZZOPANE, J. R. M.; PEDROSO, A. de F.; BERNARDI, A. C. de C.; OLIVEIRA, P. P. A.; BALIEIRO, J. C. DE C.; GARCIA, A. R. |
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Afiliação: |
MARIANA JUCÁ MORAES, Universidade Federal do Pará; LÍVIA FERREIRA PINHO, Universidade Federal do Pará; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; ANDRE DE FARIA PEDROSO, CPPSE; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; JÚLIO CÉSAR DE CARVALHO BALIEIRO, Universidade de São Paulo; ALEXANDRE ROSSETTO GARCIA, CPPSE. |
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Título: |
Caracterização de índices de conforto térmico em sistemas de integração lavoura-pecuária-floresta e em pastagens a pleno sol. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 32., 2023, Natal. Anais... Natal: UFERSA, 2023. |
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Páginas: |
p. 233. |
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Idioma: |
Português |
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Conteúdo: |
A mitigação da condição térmica de animais criados a pasto em regiões de clima tropical vem sendo cada vez mais estudada, em função das mudanças climática. |
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Palavras-Chave: |
Bem-estar animal; Conforto térmico; ILPF; Integração lavoura-pecuária-floresta; Sistemas sustentáveis. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1158806/1/CaracterizacaoIndicesConforto.pdf
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Marc: |
LEADER 01055nam a2200265 a 4500
001 2158806
005 2023-11-28
008 2023 bl uuuu u00u1 u #d
100 1 $aMORAES, M. J.
245 $aCaracterização de índices de conforto térmico em sistemas de integração lavoura-pecuária-floresta e em pastagens a pleno sol.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE ZOOTECNIA, 32., 2023, Natal. Anais... Natal: UFERSA$c2023
300 $ap. 233.
520 $aA mitigação da condição térmica de animais criados a pasto em regiões de clima tropical vem sendo cada vez mais estudada, em função das mudanças climática.
653 $aBem-estar animal
653 $aConforto térmico
653 $aILPF
653 $aIntegração lavoura-pecuária-floresta
653 $aSistemas sustentáveis
700 1 $aPINHO, L. F.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aPEDROSO, A. de F.
700 1 $aBERNARDI, A. C. de C.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aBALIEIRO, J. C. DE C.
700 1 $aGARCIA, A. R.
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Embrapa Pecuária Sudeste (CPPSE) |
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