Data/hora: 17/06/2024 02:20:05

Biblioteca(s): | Embrapa Gado de Leite.
Data corrente: | 17/08/2021
Data da última atualização: | 17/08/2021
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.
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.
Título: | Spatial dynamics of the Girolando breed in Brazil: analysis of genetic integration and environmental factors.
Ano de publicação: | 2020
Fonte/Imprenta: | Tropical Animal Health and Production, v. 52, p. 3869-3883, 2020.
DOI: | https://doi.org/10.1007/s11250-020-02426-z
Idioma: | Inglês
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.
Palavras-Chave: | Environmental characteristics; Gado Girolando; Genetic analysis; Genetic landscape; Geographic analysis.
Thesagro: | Bovino; Genética Animal.
Categoria do assunto: | L Ciência Animal e Produtos de Origem Animal
Registro original: | Embrapa Gado de Leite (CNPGL)
Exemplares: | CNPGL - (25240-1) - UPC - AP - DD -  -  -  - DIS