Análise multivariada aplicada no monitoramento da nutrição de ruminantes

Autores

  • José André Júnior
  • Iran Borges
  • Luciana Freitas Guedes
  • Luiz Felipe Martins Neves
  • Carla Fonseca Alves Campos
  • Flávia Luiza Rodrigues Fonseca
  • Mário Vitória
  • Guilherme Octávio de Souza Soares

DOI:

https://doi.org/10.34188/bjaerv7n4-023

Palavras-chave:

análise fatorial, correlação, metano, fermentação ruminal

Resumo

A revisão aborda a aplicação da análise multivariada no monitoramento da nutrição de ruminantes, destacando técnicas como a Análise de Componentes Principais (ACP), a Análise Fatorial (AF) e a Análise de Correlações Canônicas (ACC). Essas técnicas simplificam a interpretação de dados complexos ao identificar grupos de variáveis com características semelhantes e auxiliar na compreensão da microbiota ruminal, fermentação e interação com a nutrição. Exemplos práticos incluem o uso da ACP para estudar a diversidade bacteriana e o efeito de diferentes dietas sobre o rúmen, além de análises que visam a redução da emissão de metano e a melhora na eficiência alimentar dos ruminantes.

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Publicado

2024-10-23

Como Citar

André Júnior, J., Borges, I., Guedes, L. F., Neves, L. F. M., Campos, C. F. A., Fonseca, F. L. R., Vitória, M., & Soares, G. O. de S. (2024). Análise multivariada aplicada no monitoramento da nutrição de ruminantes. Brazilian Journal of Animal and Environmental Research, 7(4), e73909. https://doi.org/10.34188/bjaerv7n4-023

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v. 7 n. 4 (2024)

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