Data Mining as a Tool to Infer Chicken Carcass and Meat Cut Quality from Autochthonous Genotypes

Abstract

The present research aims to develop a carcass quality characterization methodology for minority chicken populations. The clustering patterns described across local chicken genotypes by the meat cuts from the carcass were evaluated via a comprehensive meta-analysis of ninety-one research documents published over the last 20 years. These documents characterized the meat quality of native chicken breeds. After the evaluation of their contents, thirty-nine variables were identified. Variables were sorted into eight clusters as follows; weight-related traits, water-holding capacity, colour-related traits, histological properties, texture-related traits, pH, content of flavour-related nucleotides, and gross nutrients. Multicollinearity analyses (VIF ≤ 5) were run to discard redundancies. Chicken sex, firmness, chewiness, L* meat 72 h post-mortem, a* meat 72 h post-mortem, b* meat 72 h post-mortem, and pH 72 h post-mortem were deemed redundant and discarded from the study. Data-mining chi-squared automatic interaction detection (CHAID)-based algorithms were used to develop a decision-tree-validated tool. Certain variables such as carcass/cut weight, pH, carcass yield, slaughter age, protein, cold weight, and L* meat reported a high explanatory potential. These outcomes act as a reference guide to be followed when designing studies of carcass quality-related traits in local native breeds and market commercialization strategies.

Discriminant canonical analysis as a tool for genotype traceability testing based on turkey meat and carcass traits

“…Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were designed for the healthcare field and do not fit properly in livestock research ( 39 , 40 ). Furthermore, strict adherence to the PRISMA guidelines failed to detect any alterations in the journal’s level of recommendation and endorsement ( 41 ) and exhibited restricted suitability in the context of reviews concerning conservation and environmental management.…”

“…Furthermore, strict adherence to the PRISMA guidelines failed to detect any alterations in the journal’s level of recommendation and endorsement ( 41 ) and exhibited restricted suitability in the context of reviews concerning conservation and environmental management. Instead, the methodology selected in the present study was that described by McLean and Navas Gonzalez ( 42 ), which has been reported as an efficient methodology in previous studies ( 18 , 39 , 43 ).…”

“…Data collection was executed as previously reported in the literature ( 18 , 39 , 43 ). To this end, the repositories www.scholar.google.es and www.sciencedirect.com (accessed on November 2021) were employed.…”

“…To discard linear relationships across predictors and guarantee the variable’s independence, the multicollinearity analyses were run before the statistical analyses per se . The objective of these analyses were to detect noise or redundancy issues in the variables before data manipulation, as the exclusion of unnecessary variables avoids a possible overinflation of the variance’s explanatory potential ( 39 ). The variance inflation factor (VIF) is employed as an indicator of multicollinearity, and values above 5 are not recommended ( 116 ).…”

“…However, meat and product characterization studies are essential for achieving the official recognition of a local breed ( 20 ), which is crucial for implementing further conservancy proceedings. Moreover, the knowledge of the attributes of their products allows the enhancement of their value by those consumers demanding for extra-quality and recognizable products ( 39 ).…”