Revista Brasileira de Zootecnia (Oct 2024)

Bibliometric mapping of genotype × environment interaction in production animals

  • Rafaela Martins,
  • Denyus Augusto de Oliveira Padilha,
  • Suelen Fernandes Padilha,
  • Ariane Enara Pedro,
  • Concepta McManus,
  • Lucia Galvão de Albuquerque,
  • Rodrigo de Almeida Teixeira,
  • Laila Talarico Dias

DOI
https://doi.org/10.37496/rbz5320230186
Journal volume & issue
Vol. 53

Abstract

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ABSTRACT The objective was to explore publications on the effects of genotype × environment interaction (GEI) in livestock farming. The dataset used for this analysis came from the Web of Science (WOS) database, and the search was carried out from the first article identified in the WOS database until the search date (August 17, 2023). A set of minimum parameters was defined, and then the data was processed using the VOSviewer® software. To generate visual representations in VOSviewer, fractional counting was used, in which the contribution of each article is divided proportionally based on the number of co-authors. Consequently, if an article has three authors, the weight of each author is calculated as 1/3. Brazil and the United States lead research on GEI, while India, China, and Uruguay are emerging countries on the subject. The most cited journals on GEI include the Journal of Animal Science, Journal of Dairy Science, Animal, Livestock Science, Journal of Animal Breeding and Genetics, and Revista Brasileira de Zootecnia. In Brazil, the research groups are at the forefront of publications related to GEI. Ongoing climate changes over the years have likely led to further investigations into this matter. In the Brazilian context, research groups from the São Paulo State University (UNESP), College of Agricultural and Veterinary Sciences - Jaboticabal, and the Faculty of Veterinary Medicine and Animal Science at the University of São Paulo (FZEA/USP, Campus Pirassununga) have played a prominent role in advancing this area of study. Furthermore, our bibliometric analysis revealed future trends in GEI publications, including an increasing integration of genomic information into research.

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