Your browser doesn't support javascript.
loading
Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results.
Silva, Thales de Lima; Gondro, Cedric; Fonseca, Pablo Augusto de Souza; da Silva, Delvan Alves; Vargas, Giovana; Neves, Haroldo Henrique de Rezende; Carvalho Filho, Ivan; Teixeira, Caio de Souza; de Albuquerque, Lucia Galvão; Carvalheiro, Roberto.
Afiliação
  • Silva TL; Department of Animal Science, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
  • Gondro C; Department of Animal Science, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States.
  • Fonseca PAS; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada.
  • da Silva DA; Department of Animal Science, Viçosa Federal University, Viçosa, Brazil.
  • Vargas G; Department of Animal Science, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
  • Neves HHR; GenSys Associated Consultants, Porto Alegre, Brazil.
  • Carvalho Filho I; Department of Animal Science, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
  • Teixeira CS; Department of Animal Science, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
  • de Albuquerque LG; Department of Animal Science, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
  • Carvalheiro R; Researcher at National Council for Scientific and Technological Development (CNPq), Brasília, Brazil.
Front Genet ; 14: 1118308, 2023.
Article em En | MEDLINE | ID: mdl-37662838

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article