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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
09/06/2003 |
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Data da última atualização: |
09/06/2003 |
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Autoria: |
SANTOS, G. M.; BRAZ, L. T.; BANZATTO, D. A.; DELMANACO, J. F. |
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Título: |
Avaliação de genótipos de cebola cultivados em solo de alta e média fertilidade, irrigado pelo sistema de inundação. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 2., 2003, Porto Seguro. Melhoramento da qualidade de vida: [anais]. Porto Seguro: SBMP, 2003. |
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Descrição Física: |
CD-ROM. |
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Idioma: |
Português |
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Palavras-Chave: |
Brasil; Monte Alto; São Paulo. |
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Thesagro: |
Adubação; Allium Cepa; Cebola; Fertilidade do Solo; Genótipo; Irrigação por Inundação; Produtividade. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00883naa a2200277 a 4500
001 1773711
005 2003-06-09
008 2003 bl uuuu u00u1 u #d
100 1 $aSANTOS, G. M.
245 $aAvaliação de genótipos de cebola cultivados em solo de alta e média fertilidade, irrigado pelo sistema de inundação.
260 $c2003
300 $cCD-ROM.
650 $aAdubação
650 $aAllium Cepa
650 $aCebola
650 $aFertilidade do Solo
650 $aGenótipo
650 $aIrrigação por Inundação
650 $aProdutividade
653 $aBrasil
653 $aMonte Alto
653 $aSão Paulo
700 1 $aBRAZ, L. T.
700 1 $aBANZATTO, D. A.
700 1 $aDELMANACO, J. F.
773 $tIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 2., 2003, Porto Seguro. Melhoramento da qualidade de vida: [anais]. Porto Seguro: SBMP, 2003.
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Registro original: |
Embrapa Hortaliças (CNPH) |
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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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