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| 1. |  | SUELA, M. M.; LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; NASCIMENTO, M.; SILVA, F. F. e. Combined index of genomic prediction methods applied to productivity traits in rice. Ciência Rural, Santa Maria, v. 49, n. 6, e20181008, June 2019. 9 p.| Biblioteca(s): Embrapa Florestas. |
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| 3. | | SUELA, M. M.; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; MOMEN, M.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; MOROTA, G.; NASCIMENTO, M. Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Tree Genetics & Genomes, v. 19, n. 3, 2023. 17 p.| Biblioteca(s): Embrapa Café. |
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| 4. | | LIMA L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; SUELA, M. M.; NASCIMENTO, M.; VIANA, J. M. S. New insights into genomic selection through population-based non-parametric prediction methods. Scientia Agricicola, v. 76, n. 4, p. 290-298, July/Aug. 2019.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | OLIVEIRA, T. R. A. de; CARVALHO, H. W. L. de; NASCIMENTO, M.; SUELA, M. M.; CARDOSO, M. J.; OLIVEIRA, G. H. F. Bayesian segmented regression model to evaluate the adaptability and stability of maize in Northeastern Brazil. Crop Breeding and Applied Biotechnology, v. 23, n. 3, e44692334, 2023.| Biblioteca(s): Embrapa Meio-Norte. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
17/11/2020 |
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Data da última atualização: |
17/11/2020 |
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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: |
GIGLIOTI, R.; OLIVEIRA, H. N. de; GUTMANIS, G.; LUCIANI, G. F.; AZEVEDO, B. T.; FIORIN, C. F. de C.; ANDRADE, M. F. de; SILVA, M. A. F.; VERCESI FILHO, A. E.; KATIKI, L. M.; OKINO, C. H.; OLIVEIRA, M. C. de S.; VERÍSSIMO, C. J. |
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Afiliação: |
Rodrigo Giglioti, IZ; Henrique Nunes de Oliveira, UNESP; Gunta Gutmanis, IZ; Guilherme Favero Luciani, IZ; Bianca Tainá Azevedo, IZ; Cristiane Fernandes de Carvalho Fiorin, IZ; Mariana Fogale de Andrade, IZ; Marco Antônio Faria Silva, IZ; Anibal Eugênio Vercesi Filho, IZ; Luciana Morita Katiki, IZ; CINTIA HIROMI OKINO, CPPSE; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; Cecília José Veríssimo, IZ. |
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Título: |
Correlations and repeatability between Babesia spp. infection levels using two dairy cattle breeding systems. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Experimental and Applied Acarology, v. 81, p. 599-607, jul. 2020. |
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DOI: |
https://doi.org/10.1007/s10493-020-00515-0 |
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Idioma: |
Inglês |
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Conteúdo: |
Babesia bovis and Babesia bigemina are tick-transmitted piroplasms that cause severe damage to the livestock industry in tropical regions of the world. Recent studies demonstrated differences in infection levels of these haemoparasites among bovine breeds and variation between individual cows regarding resistance to these diseases. This study aimed to estimate the repeatability and correlations between B. bovis and B. bigemina using two cattle breeding systems, an individual system (IS) and a collective paddock system (CPS). All animals were Holstein breed, and the levels of B. bovis and B. bigemina in blood samples were estimated by quantitative polymerase chain reaction (qPCR). The estimated correlations for the B. bigemina and B. bovis DNA copy number for IS and CPS were moderate and high, respectively, whereas repeatability estimates for both systems and both Babesia species were moderate. Although we cannot infer that the type of rearing system directly influenced the correlation and repeatability coefficients, it appears that the bovine parasitemia burden may be dependent on (or determine) the parasitemia burden on ticks because the bovines remained in the same place for a longer time in both systems. Thus, the babesiosis infection levels of the ticks may have been uniform, a phenomenon that also ensures greater uniformity in cattle infection. This factor may have favored the occurrence of infected ticks leading to higher repeatability estimates and correlations. Our study confirms high variability in resistance/susceptibility between breeds, and the high correlations found may be linked to this characteristic and the most intensive breeding type of dairy cattle. Besides, under the present study conditions, the estimated correlations suggest that measuring an infection level of one Babesia species can predict the level of infection of the other. MenosBabesia bovis and Babesia bigemina are tick-transmitted piroplasms that cause severe damage to the livestock industry in tropical regions of the world. Recent studies demonstrated differences in infection levels of these haemoparasites among bovine breeds and variation between individual cows regarding resistance to these diseases. This study aimed to estimate the repeatability and correlations between B. bovis and B. bigemina using two cattle breeding systems, an individual system (IS) and a collective paddock system (CPS). All animals were Holstein breed, and the levels of B. bovis and B. bigemina in blood samples were estimated by quantitative polymerase chain reaction (qPCR). The estimated correlations for the B. bigemina and B. bovis DNA copy number for IS and CPS were moderate and high, respectively, whereas repeatability estimates for both systems and both Babesia species were moderate. Although we cannot infer that the type of rearing system directly influenced the correlation and repeatability coefficients, it appears that the bovine parasitemia burden may be dependent on (or determine) the parasitemia burden on ticks because the bovines remained in the same place for a longer time in both systems. Thus, the babesiosis infection levels of the ticks may have been uniform, a phenomenon that also ensures greater uniformity in cattle infection. This factor may have favored the occurrence of infected ticks leading to higher repeatability estimates and correlations. Our s... Mostrar Tudo |
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Palavras-Chave: |
Bovine babesiosis; Breeding system. |
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Thesaurus NAL: |
Correlation; Infection; Repeatability. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
LEADER 02913naa a2200337 a 4500
001 2126672
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10493-020-00515-0$2DOI
100 1 $aGIGLIOTI, R.
245 $aCorrelations and repeatability between Babesia spp. infection levels using two dairy cattle breeding systems.$h[electronic resource]
260 $c2020
520 $aBabesia bovis and Babesia bigemina are tick-transmitted piroplasms that cause severe damage to the livestock industry in tropical regions of the world. Recent studies demonstrated differences in infection levels of these haemoparasites among bovine breeds and variation between individual cows regarding resistance to these diseases. This study aimed to estimate the repeatability and correlations between B. bovis and B. bigemina using two cattle breeding systems, an individual system (IS) and a collective paddock system (CPS). All animals were Holstein breed, and the levels of B. bovis and B. bigemina in blood samples were estimated by quantitative polymerase chain reaction (qPCR). The estimated correlations for the B. bigemina and B. bovis DNA copy number for IS and CPS were moderate and high, respectively, whereas repeatability estimates for both systems and both Babesia species were moderate. Although we cannot infer that the type of rearing system directly influenced the correlation and repeatability coefficients, it appears that the bovine parasitemia burden may be dependent on (or determine) the parasitemia burden on ticks because the bovines remained in the same place for a longer time in both systems. Thus, the babesiosis infection levels of the ticks may have been uniform, a phenomenon that also ensures greater uniformity in cattle infection. This factor may have favored the occurrence of infected ticks leading to higher repeatability estimates and correlations. Our study confirms high variability in resistance/susceptibility between breeds, and the high correlations found may be linked to this characteristic and the most intensive breeding type of dairy cattle. Besides, under the present study conditions, the estimated correlations suggest that measuring an infection level of one Babesia species can predict the level of infection of the other.
650 $aCorrelation
650 $aInfection
650 $aRepeatability
653 $aBovine babesiosis
653 $aBreeding system
700 1 $aOLIVEIRA, H. N. de
700 1 $aGUTMANIS, G.
700 1 $aLUCIANI, G. F.
700 1 $aAZEVEDO, B. T.
700 1 $aFIORIN, C. F. de C.
700 1 $aANDRADE, M. F. de
700 1 $aSILVA, M. A. F.
700 1 $aVERCESI FILHO, A. E.
700 1 $aKATIKI, L. M.
700 1 $aOKINO, C. H.
700 1 $aOLIVEIRA, M. C. de S.
700 1 $aVERÍSSIMO, C. J.
773 $tExperimental and Applied Acarology$gv. 81, p. 599-607, jul. 2020.
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