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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: |
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Embrapa Semiárido (CPATSA) |
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