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| 1. |  | KAGEYAMA, P. Y.; SEBBENN, A. M.; RIBAS, L. A.; GANDARA, F. B.; CASTELLEN, M.; PERECIM, M. B.; VENCOVSKY, R. Diversidade genética em espécies arbóreas tropicais de diferentes estágios sucessionais por marcadores genéticos. Scientia Forestalis, Piracicaba, n. 64, p. 93-107, dez. 2003.| Biblioteca(s): Embrapa Florestas. |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
09/01/2024 |
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Data da última atualização: |
09/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
COSTA, C. dos S. R.; COSTA, A. E. da S.; LIMA NETO, F. P.; LIMA, M. A. C. de; MARTINS, L. S. S.; MUSSER, R. dos S. |
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Afiliação: |
CRISTINA DOS SANTOS RIBEIRO COSTA, UFRPE; ANTONIO ELTON DA SILVA COSTA, UNIVASF; FRANCISCO PINHEIRO LIMA NETO, CPATSA; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; LUIZA SUELY SEMEN MARTINS, UFRPE; ROSIMAR DOS SANTOS MUSSER, UFRPE. |
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Título: |
Repeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Euphytica, v. 219, n. 11, 2023. |
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DOI: |
https://doi.org/10.1007/s10681-023-03249-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Mango is a tropical fruit of significant economic, social, and nutritional importance. However, the low diversity of commercial mango orchards in Brazil highlights the need to broaden the genetic base of this crop. From this perspective, this study aimed to select mango genotypes for cultivation under semi-arid conditions using the mixed model methodology: restricted maximum likelihood/best linear unbiased prediction (REML/BLUP). Two hundred and ninty-two genotypes originated from the crossing of seven cultivars used as female parent (’Coquinho’, ’Espada’, ’Haden’, ’Keitt’, ’Winter’, ’Palmer’, and ’Van Dyke’) and ’Tommy Atkins’ as male parent were evaluated over two crop seasons using fifteen traits related to fruit quality. The statistical analyses were performed with the software Selegen. The repeatability coefficient estimates (r) ranged from 0.06 to 0.97, and were considered high for most variables. The selective accuracy predicted by REML for the evaluated parameters ranged from 0.25 to 0.98, revealing a good degree of confidence in the inferences. With the application of a selection intensity of 30% it was possible to obtain genetic gain (%) for all evaluated traits. Twelve genotypes were selected as the most promising using the minimum selection indices proposed in this study, showing higher mean values for all evaluated traits. These genotypes can be selected for new stages of the mango breeding program in the Brazilian semi-arid region. |
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Palavras-Chave: |
Modelos mistos; Precisão seletiva. |
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Thesagro: |
Fruta Tropical; Genótipo; Manga; Mangifera Indica. |
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Thesaurus NAL: |
Mangoes; Tropical and subtropical fruits. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02369naa a2200289 a 4500
001 2160597
005 2024-01-09
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-023-03249-3$2DOI
100 1 $aCOSTA, C. dos S. R.
245 $aRepeatability coefficient for fruit quality and selection of mango hybrids using REML/BLUP analysis.$h[electronic resource]
260 $c2023
520 $aMango is a tropical fruit of significant economic, social, and nutritional importance. However, the low diversity of commercial mango orchards in Brazil highlights the need to broaden the genetic base of this crop. From this perspective, this study aimed to select mango genotypes for cultivation under semi-arid conditions using the mixed model methodology: restricted maximum likelihood/best linear unbiased prediction (REML/BLUP). Two hundred and ninty-two genotypes originated from the crossing of seven cultivars used as female parent (’Coquinho’, ’Espada’, ’Haden’, ’Keitt’, ’Winter’, ’Palmer’, and ’Van Dyke’) and ’Tommy Atkins’ as male parent were evaluated over two crop seasons using fifteen traits related to fruit quality. The statistical analyses were performed with the software Selegen. The repeatability coefficient estimates (r) ranged from 0.06 to 0.97, and were considered high for most variables. The selective accuracy predicted by REML for the evaluated parameters ranged from 0.25 to 0.98, revealing a good degree of confidence in the inferences. With the application of a selection intensity of 30% it was possible to obtain genetic gain (%) for all evaluated traits. Twelve genotypes were selected as the most promising using the minimum selection indices proposed in this study, showing higher mean values for all evaluated traits. These genotypes can be selected for new stages of the mango breeding program in the Brazilian semi-arid region.
650 $aMangoes
650 $aTropical and subtropical fruits
650 $aFruta Tropical
650 $aGenótipo
650 $aManga
650 $aMangifera Indica
653 $aModelos mistos
653 $aPrecisão seletiva
700 1 $aCOSTA, A. E. da S.
700 1 $aLIMA NETO, F. P.
700 1 $aLIMA, M. A. C. de
700 1 $aMARTINS, L. S. S.
700 1 $aMUSSER, R. dos S.
773 $tEuphytica$gv. 219, n. 11, 2023.
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