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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Gado de Leite. |
Data corrente: |
17/07/2023 |
Data da última atualização: |
06/09/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CAMARGO JUNIOR, R. N. C.; FERNANDES, L. da S.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; ARAUJO, C. V. de; SILVA, A. G. M. e; MARQUES, J. R. F.; SILVA, W. C. da; ARAUJO, S. I. de; CASTRO, S. R. S. de; SILVA, L. K. X.; CASTRO, S. V.; LOURENÇO JUNIOR, J. de B. |
Afiliação: |
RAIMUNDO NONATO COLARES CAMARGO JUNIOR, Universidade Federal do Pará; LUANE DA SILVA FERNANDES, Universidade Federal do Mato Grosso; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CLAUDIO VIEIRA DE ARAUJO, Universidade Federal do Mato Grosso; ANDRE GUIMARÃES MACIEL E SILVA, Universidade Federal do Pará; JOSE RIBAMAR FELIPE MARQUES, CPATU; WELLIGTON CONCEICÃO DA SILVA, Universidade Federal do Pará; SIMONE INOE DE ARAUJO, Universidade Federal do Mato Grosso; SAMIA RUBIELLE SILVA DE CASTRO, Harvard Center for Comparative Medicine; LILIAN KATIA XIMENES SILVA, Universidade Federal do Pará; SIMONE VIEIRA CASTRO, UniCatólica-Centro Universitário Católico de Tocantins; JOSE DE BRITO LOURENÇO JUNIOR, Universidade Federal do Pará. |
Título: |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
PLoS ONE, v. 18, n. 7, e0288257, 2023. |
DOI: |
https://doi.org/10.1371/journal.pone.0288257 |
Idioma: |
Inglês |
Conteúdo: |
The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires. MenosThe goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holste... Mostrar Tudo |
Thesagro: |
Bovino; Gado Leiteiro; Genética Animal; Produção Leiteira. |
Thesaurus Nal: |
Animal genetics; Dairy cattle. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154971/1/Heterogeneity-of-variance-and-genetic-parameters-for-milk-production-in-cattle.pdf
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Marc: |
LEADER 02811naa a2200349 a 4500 001 2154971 005 2023-09-06 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1371/journal.pone.0288257$2DOI 100 1 $aCAMARGO JUNIOR, R. N. C. 245 $aHeterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.$h[electronic resource] 260 $c2023 520 $aThe goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires. 650 $aAnimal genetics 650 $aDairy cattle 650 $aBovino 650 $aGado Leiteiro 650 $aGenética Animal 650 $aProdução Leiteira 700 1 $aFERNANDES, L. da S. 700 1 $aPANETTO, J. C. do C. 700 1 $aSILVA, M. V. G. B. 700 1 $aARAUJO, C. V. de 700 1 $aSILVA, A. G. M. e 700 1 $aMARQUES, J. R. F. 700 1 $aSILVA, W. C. da 700 1 $aARAUJO, S. I. de 700 1 $aCASTRO, S. R. S. de 700 1 $aSILVA, L. K. X. 700 1 $aCASTRO, S. V. 700 1 $aLOURENÇO JUNIOR, J. de B. 773 $tPLoS ONE$gv. 18, n. 7, e0288257, 2023.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
19/11/2022 |
Data da última atualização: |
28/12/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GALVÃO, S. F. A.; LANA, U. G. de P.; GOMES, E. A.; OLIVEIRA-PAIVA, C. A.; YAMAGISHI, M. E. B.; VIANA, M. J. A.; SOUSA, S. M. de. |
Afiliação: |
SAMUEL FELIPE AZEVEDO GALVÃO, Mestrando, Universidade Federal de São João del-Rei; UBIRACI GOMES DE PAULA LANA, CNPMS; ELIANE APARECIDA GOMES, CNPMS; CHRISTIANE ABREU DE OLIVEIRA PAIVA, CNPMS; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; MARCOS JOSE ANDRADE VIANA, CNPMS; SYLVIA MORAIS DE SOUSA TINOCO, CNPMS. |
Título: |
Análise genômica de bactérias promotoras de crescimento de plantas visando a identificação de genes e desenvolvimento de marcadores estirpe-específicos. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 33., 2022, Sete Lagoas. Brasil: 200 anos de independência: sustentabilidade e desafios para a cadeia produtiva de grãos: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2022. |
Idioma: |
Português |
Notas: |
Evento online. |
Conteúdo: |
O objetivo deste trabalho foi caracterizar o genoma e desenvolver marcadores estirpe-específicos para três estirpes de BPCP pertencentes à Coleção de Microrganismos Multifuncionais da Embrapa Milho e Sorgo. |
Palavras-Chave: |
PCR em tempo real; Priestia. |
Thesagro: |
Bactéria; Genoma; Marcador Molecular. |
Categoria do assunto: |
S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148494/1/Analise-genomica-de-bacterias-promotoras-de-crescimento-de-plantas.pdf
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Marc: |
LEADER 01206nam a2200253 a 4500 001 2148494 005 2022-12-28 008 2022 bl uuuu u00u1 u #d 100 1 $aGALVÃO, S. F. A. 245 $aAnálise genômica de bactérias promotoras de crescimento de plantas visando a identificação de genes e desenvolvimento de marcadores estirpe-específicos.$h[electronic resource] 260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 33., 2022, Sete Lagoas. Brasil: 200 anos de independência: sustentabilidade e desafios para a cadeia produtiva de grãos: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo$c2022 500 $aEvento online. 520 $aO objetivo deste trabalho foi caracterizar o genoma e desenvolver marcadores estirpe-específicos para três estirpes de BPCP pertencentes à Coleção de Microrganismos Multifuncionais da Embrapa Milho e Sorgo. 650 $aBactéria 650 $aGenoma 650 $aMarcador Molecular 653 $aPCR em tempo real 653 $aPriestia 700 1 $aLANA, U. G. de P. 700 1 $aGOMES, E. A. 700 1 $aOLIVEIRA-PAIVA, C. A. 700 1 $aYAMAGISHI, M. E. B. 700 1 $aVIANA, M. J. A. 700 1 $aSOUSA, S. M. de
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Embrapa Milho e Sorgo (CNPMS) |
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