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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
03/12/2012 |
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Data da última atualização: |
03/12/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
REIS, R. V. dos; PIO VIANA, A.; OLIVEIRA, E. J. de; SILVA, M. G. M. |
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Afiliação: |
RONALDO VIANA DOS REIS, UFV; ALEXANDRE PIO VIANA, UENF; EDER JORGE DE OLIVEIRA, CNPMF; MARCELO GERALDO DE MORAES SILVA, IFNMG. |
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Título: |
Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 12, n.1, p. 191-198, march, 2012. |
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ISSN: |
1518-7853 |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this study was to evaluate the efficiency of selection of a population of yellow passion fruit in the second cycle of recurrent selection, based on molecular and agronomic data. In 39 full-sib progenies, genotyped using microsatellite markers, 11 agronomic traits were evaluated. The progenies were selected based on the genetic distance matrix and the selection efficiency was confirmed based on the most important agronomic traits of yellow passion fruit. Only 12 of the 25 best progenies were identified by all three selection strategies (agronomic, molecular and combined selection). No significant correlation was observed between the genetic distance matrices and the molecular x agronomic data. The progenies selected by molecular markers had the highest mean yield and fruit number. Results indicate the possibility of applying this combined selection procedure based on agronomic as well as molecular data to optimize genetic gain for the traits under selection. |
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Palavras-Chave: |
Marcadores moleculares; Melhoramento genético; Variabilidade genética. |
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Thesagro: |
Maracujá; Passiflora Edulis. |
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Thesaurus Nal: |
Breeding and Genetic Improvement; Genetic variation; Microsatellite repeats. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01824naa a2200265 a 4500
001 1940952
005 2012-12-03
008 2012 bl uuuu u00u1 u #d
022 $a1518-7853
100 1 $aREIS, R. V. dos
245 $aPhenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection.
260 $c2012
520 $aThe purpose of this study was to evaluate the efficiency of selection of a population of yellow passion fruit in the second cycle of recurrent selection, based on molecular and agronomic data. In 39 full-sib progenies, genotyped using microsatellite markers, 11 agronomic traits were evaluated. The progenies were selected based on the genetic distance matrix and the selection efficiency was confirmed based on the most important agronomic traits of yellow passion fruit. Only 12 of the 25 best progenies were identified by all three selection strategies (agronomic, molecular and combined selection). No significant correlation was observed between the genetic distance matrices and the molecular x agronomic data. The progenies selected by molecular markers had the highest mean yield and fruit number. Results indicate the possibility of applying this combined selection procedure based on agronomic as well as molecular data to optimize genetic gain for the traits under selection.
650 $aBreeding and Genetic Improvement
650 $aGenetic variation
650 $aMicrosatellite repeats
650 $aMaracujá
650 $aPassiflora Edulis
653 $aMarcadores moleculares
653 $aMelhoramento genético
653 $aVariabilidade genética
700 1 $aPIO VIANA, A.
700 1 $aOLIVEIRA, E. J. de
700 1 $aSILVA, M. G. M.
773 $tCrop Breeding and Applied Biotechnology$gv. 12, n.1, p. 191-198, march, 2012.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Cerrados. |
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Data corrente: |
14/10/2016 |
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Data da última atualização: |
08/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
LOPES, F. B.; SILVA, M. C. da; MAGNABOSCO, C. de U.; NARCISO, M. G.; GONZALEZ, R. D. S. |
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Afiliação: |
CLAUDIO DE ULHOA MAGNABOSCO, CPAC; MARCELO GONCALVES NARCISO, CNPAF; ROBERTO DANIEL SAINZ GONZALEZ, CPAC. |
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Título: |
Selection indices and multivariate analysis show similar results in the evaluation of growth and carcass traits in beef cattle. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Plos one, Jan. 2016. |
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DOI: |
10.1371/journal.pone.0147180 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi- trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P <0.001). Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high, suggesting that a correlated response approach is suitable for practical decision making. Estimates of correlation between selection indices and the multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection. MenosThis research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi- trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P <0.001). Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high, suggesting that a correlated response approach is suitable for practical decision making. Estimates of correlation between selection indices and the multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summariz... Mostrar Tudo |
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Palavras-Chave: |
Análise multivariada; Avaliação genética. |
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Thesagro: |
Carcaça; Gado nelore. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/148775/1/Magnabosco-Selection-indices.pdf
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Marc: |
LEADER 02580naa a2200229 a 4500
001 2054677
005 2017-02-08
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0147180$2DOI
100 1 $aLOPES, F. B.
245 $aSelection indices and multivariate analysis show similar results in the evaluation of growth and carcass traits in beef cattle.$h[electronic resource]
260 $c2016
520 $aThis research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi- trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P <0.001). Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high, suggesting that a correlated response approach is suitable for practical decision making. Estimates of correlation between selection indices and the multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection.
650 $aCarcaça
650 $aGado nelore
653 $aAnálise multivariada
653 $aAvaliação genética
700 1 $aSILVA, M. C. da
700 1 $aMAGNABOSCO, C. de U.
700 1 $aNARCISO, M. G.
700 1 $aGONZALEZ, R. D. S.
773 $tPlos one, Jan. 2016.
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