Explaining Global Turkey Biometric Diversity Through Principal Component Analysis

The morphological diversity of the domestic turkey is still an open question in poultry research. For this reason, a meta-analysis with 97 reports from 28 morphometric characterization studies covering 15 different turkey genotypes was carried out in the present study. Biometric measurements and indices collected from the articles were used as independent variables in three principal component analyses. The highest variance explaining power was achieved in the analysis including only biometric indices, with more than 70% in the first two principal components for both sexes. The 'leg length', 'body mass', 'shape', and 'tarsus' indices were those with higher explanatory power, the latter two particularly so in females. In addition, 'head' was such a high variance explaining body region, especially in males, while for females, the 'leg' showed high variability between breeds. The spatial representation of observations drew an interesting grouping pattern, proposing an 'African' and 'Mediterranean' trunk of turkeys based just on biometric traits. The correlation matrix showed positive and negative associations between the variables, especially stronger in females. Breast circumference was negatively correlated with weight and size traits, suggesting that turkey landraces differ in body conformation and environmental requirements. Despite data limitations, particularly in terms of available breed reports and measures taken, consistent results were obtained. The results of the present work could be common guidelines for the phenotypic characterization of turkey breeds worldwide.

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Journal
Animals
Published
2025-08-28
DOI
https://doi.org/10.3390/ani15172537
Citations
1
Primary Topic
Livestock and Poultry Management
Type
article
Field-Weighted Citation Impact
1.19

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Explaining Global Turkey Biometric Diversity Through Principal Component Analysis

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Explaining Global Turkey Biometric Diversity Through Principal Component Analysis

L.M. Medina, José Manuel León Jurado, Luisa Zaniboni, José Ignacio Salgado Pardo, Silvia Cerolini, Antonio González Ariza, María Esperanza Camacho Vallejo, Juan Vicente Delgado Bermejo, S.P. Marelli
article en
1 citations

Abstract

The morphological diversity of the domestic turkey is still an open question in poultry research. For this reason, a meta-analysis with 97 reports from 28 morphometric characterization studies covering 15 different turkey genotypes was carried out in the present study. Biometric measurements and indices collected from the articles were used as independent variables in three principal component analyses. The highest variance explaining power was achieved in the analysis including only biometric indices, with more than 70% in the first two principal components for both sexes. The 'leg length', 'body mass', 'shape', and 'tarsus' indices were those with higher explanatory power, the latter two particularly so in females. In addition, 'head' was such a high variance explaining body region, especially in males, while for females, the 'leg' showed high variability between breeds. The spatial representation of observations drew an interesting grouping pattern, proposing an 'African' and 'Mediterranean' trunk of turkeys based just on biometric traits. The correlation matrix showed positive and negative associations between the variables, especially stronger in females. Breast circumference was negatively correlated with weight and size traits, suggesting that turkey landraces differ in body conformation and environmental requirements. Despite data limitations, particularly in terms of available breed reports and measures taken, consistent results were obtained. The results of the present work could be common guidelines for the phenotypic characterization of turkey breeds worldwide.

AnimalsVol. 15(17)
University of Milan (IT), Andalusian Institute of Agricultural and Fisheries Research and Training (ES), University of Córdoba (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 20%
Livestock and Poultry Management
1.19
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