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| 164. |  | SANTOS, L. S. dos; MARTORANO, L. G.; COSTA, D. C.; BARBOSA, A. M. S.; MARQUES, M. C.; MORAES, J. R. da S. C. de; BARBOSA, A.; MONTEIRO, S. do N.; NACIF, A.; ROCHA, E. P. da. Simulador do potencial hídrico erosivo em diferentes coberturas do solo: o despertar de práticas agrícolas de baixo carbono na Amazônia. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA PARA O PROGRESSO DA CIÊNCIA, 67., 2015, São Carlos, SP. Resumos... São Paulo: SBPC, 2015.| Biblioteca(s): Embrapa Amazônia Oriental. |
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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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