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| 10. |  | RASEIRA, M. do C. B.; FRANZON, R. C.; BYRNE, D. H.; CARPENEDO, S.; CITADIN, I. Desafios para produção de pêssegos no sul do Brasil. In: ENCUENTRO LATINOAMERICANO PRUNUS SIN FRONTERAS, 6., 2015, Pelotas. Anais... Brasília, DF: Embrapa, 2015. P. 77-79.| Biblioteca(s): Embrapa Clima Temperado. |
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| 12. | | CARPENEDO, S.; RASEIRA, M. do C. B.; FRANZON, R. C.; BYRNE, D. H. Influência de altas temperaturas sobre o pólen, o estigma e a estabilidade da membrana celular em pessegueiro. In: ENCUENTRO LATINOAMERICANO PRUNUS SIN FRONTERAS, 6., 2015, Pelotas. Anais... Brasília, DF: Embrapa, 2015. p. 123-125.| Biblioteca(s): Embrapa Clima Temperado. |
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| 15. | | LEA, M. A.; IBEH, C.; BORDES, C. des.; VIZZOTTO, M.; CISNEROS-ZEVALLOS, L.; BYRNE, D. H.; OKIE, W. R.; MOYER, M. P. Inhibition of growth and induction of differentiation of colon cancer cells by peach and plum phenolic compounds. Anticancer Research, v. 28, p. 2067-2076, 2008.| Biblioteca(s): Embrapa Clima Temperado. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio-Norte. Para informações adicionais entre em contato com cpamn.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
16/09/1998 |
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Data da última atualização: |
20/02/2013 |
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Autoria: |
SOUZA, V. A. B. de; BYRNE, D. H.; TAYLOR, J. F. |
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Título: |
Heritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach: I. An analysis of several reproductive traits. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
Journal of the American Society for Horticultural Science, v.123, n.4, p.598-603, 1998. |
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Idioma: |
Inglês |
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Conteúdo: |
Seedlings of 108 families from crosses among 42 peach [Prunus persica (L.) Batsch] cultivars and selections were evaluated for six plant characteristics in 1993, 1994, and 1995. The data were analyzed by using a mixed linear model, with years treated as fixed and additive genotypes as random factors. Best linear unbiased prediction (BLUP) was used to estimate fixed effects. Restricted maximum likelihood (REML) was used to estimate variance components, and a multiple trait model was used to estimate genetic and phenotypic covariances among traits. The narrow-sense heritability estimates were 0.41, 0.29, 0.48, 0.47, 0.43, and 0.23 for flower density, flowers per node, node density, fruit density, fruit set, and blind node propensity, respectively. Most genetic correlations among pairs of traits were >- 0.30 and were, in general, much higher than the corresponding phenotypic correlations. Flower density and flowers per node, fruit density and fruit set and flower density and fruit density were the combinations of traits that had the highest genetic correlation estimates. Direct selection practiced solely for flower density (either direction) is expected to have a greater effect on fruit density than direct selection for fruit density. |
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Palavras-Chave: |
Fruit breeding; Heranca quantitativa; Quantitative inheritance; Selecao de caracteristica multipla. |
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Thesagro: |
Fruta; Prunus Persica. |
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Thesaurus NAL: |
multiple trait selection. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02045naa a2200229 a 4500
001 1054498
005 2013-02-20
008 1998 bl --- 0-- u #d
100 1 $aSOUZA, V. A. B. de
245 $aHeritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach$bI. An analysis of several reproductive traits.
260 $c1998
520 $aSeedlings of 108 families from crosses among 42 peach [Prunus persica (L.) Batsch] cultivars and selections were evaluated for six plant characteristics in 1993, 1994, and 1995. The data were analyzed by using a mixed linear model, with years treated as fixed and additive genotypes as random factors. Best linear unbiased prediction (BLUP) was used to estimate fixed effects. Restricted maximum likelihood (REML) was used to estimate variance components, and a multiple trait model was used to estimate genetic and phenotypic covariances among traits. The narrow-sense heritability estimates were 0.41, 0.29, 0.48, 0.47, 0.43, and 0.23 for flower density, flowers per node, node density, fruit density, fruit set, and blind node propensity, respectively. Most genetic correlations among pairs of traits were >- 0.30 and were, in general, much higher than the corresponding phenotypic correlations. Flower density and flowers per node, fruit density and fruit set and flower density and fruit density were the combinations of traits that had the highest genetic correlation estimates. Direct selection practiced solely for flower density (either direction) is expected to have a greater effect on fruit density than direct selection for fruit density.
650 $amultiple trait selection
650 $aFruta
650 $aPrunus Persica
653 $aFruit breeding
653 $aHeranca quantitativa
653 $aQuantitative inheritance
653 $aSelecao de caracteristica multipla
700 1 $aBYRNE, D. H.
700 1 $aTAYLOR, J. F.
773 $tJournal of the American Society for Horticultural Science$gv.123, n.4, p.598-603, 1998.
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