Probability of beef tenderness in confined cows - a meta-analytic approach

Abstract

This study aimed to assess the probability of meat tenderness in confined cows. For this purpose, CAPES and SciELO platforms were searched for papers under this subject published in Brazil between 2000 and 2015. A total of 43 articles were found, of which eleven were used. Those selected approached the finishing of confined cows and specified animal genetic group, breed, and age at experiment start. Moreover, all these studies evaluated sensory and organoleptic characteristics of meat, following the same method. Each variable was analyzed by logistic regression, using the LOGISTIC procedure of SAS. The factors were evaluated by odds ratio (OR), in which changes in the probability of meat tenderness were estimated by means of an add-on function in regression variable units. Animal age at the beginning of termination, percentages of zebuine blood and heterozygosity, and marbling score are factors that affect (p < 0.30) the chance of beef tenderness. The probabilities of obtaining a tender meat increase when age at termination beginning and zebuine genotype participation are reduced, as well as when heterozygosity (via crosses) and meat marbling score increases.

Likelihood of obtaining tender meat from confined calf

“…In Brazil, a reasonable number of scientific publications are related to the tenderness of beef from animals who mostly finished in confinement. The scientific basis of these studies is derived from the Newtonian and Cartesian philosophy of research, which analyzes an event from its decomposition into factors, which may still be decomposed into more factors up to the lowest level (8) . This way of thinking makes complex biological variables with great economic impact, such as meat tenderness, difficult to understand and manipulate owing to the influence of a large number of factors.…”

Análise da chance de fêmeas bovinas leiteiras destinarem maior tempo a alimentação

“…Procedimentos metanalíticos a partir de artigos já publicados representa uma importante alternativa de pesquisa na produção animal, permitindo melhorar o poder do teste e minimizar efeitos de experimentos isolados RODRIGUES et al, 2015;CATTELAM, et al, 2017;PACHECO et al, 2019). Nesses procedimentos, estatísticas multivariadas podem auxiliar na melhor compreensão de como características dos sistemas de produção de vacas leiteiras afetam o tempo destinado à alimentação, tendo em vista o aumento amostral e identificação de efeitos e possíveis tendências que não são possíveis obter e observar em experimentos únicos e isolados.…”