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| 21. |  | MÁLAGA, F. da C.; SIQUEIRA, H. A.; RAUBER, L. P.; MARQUES, M. G.; PERIPOLLI, V.; SCHWEGLER, E.; OLIVEIRA JÚNIOR, J. M.; MOREIRA, F.; LOPES, M. S.; BIANCHI, I. In vitro and in vivo parameters for identification of landrace pigs with low reproductive performance. Semina: Ciências Agrárias, Londrina, v. 43, n. 2, p. 573-584, mar./abr. 2022.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 22. | | CRUZ JÚNIOR, C. A.; LUCCI, C. M.; PERIPOLLI, V.; TANURE, C. B.; RIBEIRO, L. M. C. S.; BARBOSA, T. M.; RAMOS, A. F.; LOUVANDINI, H.; MCMANUS, C. Laser and thermographic infrared temperatures associated with heattolerance in adult rams. Small Ruminant Research, v. 132, p. 86-91, 2015.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 23. | | MARQUES, L. C.; MATOS, A. S.; COSTA, J. S.; SILVA, C. S.; CAMARGO JÚNIOR, R. N. C.; McMANUS, C.; PERIPOLLI, V.; ARAÚJO, C. V.; LAUREANO, M. M. M.; SALES, R. L.; MARQUES, J. R. F. Productive characteristics in dairy buffalo (Bubalus bubalis) in the Eastern Amazon. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, v. 72, n. 3, p. 947-954, 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 24. | | MARQUES, L. C.; McMANUS, C.; PERIPOLLI, V.; ARAÚJO, C. V.; MATOS, A. S.; COSTA, J. S.; SILVA, C. S.; SALES, R. L.; CAMARGO JÚNIOR, R. N. C.; LAUREANO, M. M. M.; MARQUES, J. R. F. Genetic evaluation of milking buffaloes (Bubalus bubalis): bull ranking. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 71, n. 5, p. 1712-1718, Sept./Oct. 2019.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 25. | | COSTA, N. S. da; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, M. A.; SEIXAS, L.; PERIPOLLI, V.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; VIEIRA, R. A.; MCMANUS, C. Spatial dynamics of the Girolando breed in Brazil: analysis of genetic integration and environmental factors. Tropical Animal Health and Production, v. 52, p. 3869-3883, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 26. | | STUMPF, M. T.; KOLLING, G. J.; FISCHER, V.; DALTRO, D. dos S.; ALFONZO, E. P. M.; DALCIN, V. C.; DIAS, L. T.; SILVA, M. V. G. B.; PERIPOLLI, V.; MCMANUS, C. M. Elevated temperature-humidity index induces physiological, blood and milk alterations in Holstein cows in a more pronounced manner than in ½ and ¾ Holstein × Gir. Journal of Animal Behaviour and Biometeorology, v. 9, n. 4, p. 2140, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 27. | | SANTOS, V. R. V. dos; McNANUS, C.; PERIPOLLI, V.; TANURE, C. B.; LIMA, P. de M. T.; CORRÊA, P. S.; BRITO, D. L.; TORRES, S. E. F. de A.; LOUVANDINI, H. Dry matter intake, performance and carcass characteristics of hair sheep reared under different grazing systems. Scientia Agricola, Piracicaba, v. 74, n. 6, p. 436-442, nov./dez. 2017.| Biblioteca(s): Embrapa Pesca e Aquicultura. |
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| 28. | | COSTA, N. S. Da; JUNIOR, J. B. G. C.; GUIMARÃES, R. F.; SILVA, M. V. G. B.; LIMA, P. R. M.; SEIXAS, L.; PERIPOLLI, V.; PIMENTEL, C. M. M. Distribuição espacial dos valores genéticos e confiabilidade do gado Girolando no Brasil In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 26., 2016, Santa Maria. Cinquenta anos de zootecnia no Brasil: anais. Santa Maria: Associação Brasileira de Zootecnistas, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 29. | | CAVALCANTI, C. P. L.; MACEDO, T. J. S.; PERIPOLLI, V.; GOIS, G. C.; MENEZES, V. G.; MONTE, A. P. O.; SILVA, D. J. M.; NASCIMENTO, P. V. N.; SILVA, E. O.; ARAUJO, G. G. L. de; RODRIGUES, R. T. S.; WISCHRAL, A.; MATOS, M. H. T.; QUEIROZ, M. A. A. Carcass yield, non-carcass components, and economic viability of licuri oil addition to the diet of Santa Ines ewes. Revista Colombiana de Ciências Pecuárias, v. 36, n. 4, p. 196-209, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 30. | | CARDOSO, C. C.; PERIPOLLI, V.; AMADOR, S. A.; BRANDÃO, E. G.; ESTEVES, G. I. F.; SOUSA, C. M. Z.; FRANÇA, M. F. M. S.; GONÇALVES, F. G.; BARBOSA, F. A.; MONTALVÃO, T. C.; MARTINS, C. F.; FONSECA NETO, A. M. da; MCMANUS, C. Physiological and thermographic response to heat stress in zebu cattle. Livestock Science, v. 182, p. 83-92, DEC. 2015.| Biblioteca(s): Embrapa Cerrados. |
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| 31. | | BARBOSA, M. de C. P.; FIORAVANTI, M. C. S.; PERIPOLLI, V.; EGITO, A. A. do; JULIANO, R. S.; RAMOS, A. F.; CARDOSO, D.; LAUDARES, K. M.; FEIJO, G. L. D.; PRADO, C. S.; VAZ JÚNIOR, R. G.; OLIVEIRA, N. A. de; REZENDE, P. L. de P.; RESTLE, J.; COSTA, G. L.; COSTA, M. F. O. e; MCMANUS, C. Performance, carcass, and meat traits of locally adapted Brazilian cattle breeds under feedlot conditions. Tropical Animal Health and Production, v. 55, n. 243, jun. 2023.| Biblioteca(s): Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Pantanal; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 31 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
17/08/2021 |
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Data da última atualização: |
17/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
COSTA, N. S. da; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, M. A.; SEIXAS, L.; PERIPOLLI, V.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; VIEIRA, R. A.; MCMANUS, C. |
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Afiliação: |
NATHALIA SILVA DA COSTA, Universidade de Brasília; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCO ANTONIO MACHADO, CNPGL; LUIZA SEIXAS, Universidade de Brasília; VANESSA PERIPOLLI, Instituto Federal Catarinense; RENATO FONTES GUIMARÃES, Universidade de Brasília; OSMAR ABILIO CARVALHO JUNIOR, Universidade de Brasília; RENATA AUGUSTO VIEIRA, Universidade de Brasília; CONCEPTA MCMANUS, Universidade de Brasília. |
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Título: |
Spatial dynamics of the Girolando breed in Brazil: analysis of genetic integration and environmental factors. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 52, p. 3869-3883, 2020. |
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DOI: |
https://doi.org/10.1007/s11250-020-02426-z |
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Idioma: |
Inglês |
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Conteúdo: |
Brazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of the animals within the production systems. MenosBrazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of ... Mostrar Tudo |
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Palavras-Chave: |
Environmental characteristics; Gado Girolando; Genetic analysis; Genetic landscape; Geographic analysis. |
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Thesagro: |
Bovino; Genética Animal. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02557naa a2200325 a 4500
001 2133650
005 2021-08-17
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-020-02426-z$2DOI
100 1 $aCOSTA, N. S. da
245 $aSpatial dynamics of the Girolando breed in Brazil$banalysis of genetic integration and environmental factors.$h[electronic resource]
260 $c2020
520 $aBrazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of the animals within the production systems.
650 $aBovino
650 $aGenética Animal
653 $aEnvironmental characteristics
653 $aGado Girolando
653 $aGenetic analysis
653 $aGenetic landscape
653 $aGeographic analysis
700 1 $aSILVA, M. V. G. B.
700 1 $aPANETTO, J. C. do C.
700 1 $aMACHADO, M. A.
700 1 $aSEIXAS, L.
700 1 $aPERIPOLLI, V.
700 1 $aGUIMARÃES, R. F.
700 1 $aCARVALHO JUNIOR, O. A.
700 1 $aVIEIRA, R. A.
700 1 $aMCMANUS, C.
773 $tTropical Animal Health and Production$gv. 52, p. 3869-3883, 2020.
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