| Autor: |
Salgado Pardo JI; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain., Navas González FJ; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain., González Ariza A; Agropecuary Provincial Centre, Diputación de Córdoba, 14071 Córdoba, Spain., León Jurado JM; Agropecuary Provincial Centre, Diputación de Córdoba, 14071 Córdoba, Spain., Carolino N; Centro de Investigação Vasco da Gama, Escola Universitária Vasco da Gama, 3020-210 Coimbra, Portugal.; Instituto Nacional de Investigação Agrária e Veterinária, Polo de Inovação da Fonte Boa-Estação Zootécnica Nacional, 2005-424 Santarém, Portugal.; Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal.; Laboratório Associado para a Ciência Animal e Veterinária, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal., Carolino I; Centro de Investigação Vasco da Gama, Escola Universitária Vasco da Gama, 3020-210 Coimbra, Portugal.; Instituto Nacional de Investigação Agrária e Veterinária, Polo de Inovação da Fonte Boa-Estação Zootécnica Nacional, 2005-424 Santarém, Portugal.; Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal., Delgado Bermejo JV; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain., Camacho Vallejo ME; Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, 14004 Córdoba, Spain. |
| Abstrakt: |
The present research aims to describe how turkey meat and carcass quality traits define the interest of the scientific community through the quality standards of journals in which studies are published. To this end, an analysis of 92 research documents addressing the study of turkey carcass and meat quality over the last 57 years was performed. Meat and carcass quality attributes were dependent variables and included traits related to carcass dressing, muscle fiber, pH, colorimetry, water-holding capacity, texture, and chemical composition. The independent variables comprised publication quality traits, including journal indexation, database, journal impact factor (JIF), quartile, publication area, and JIF percentage. For each dependent variable, a data-mining chi-squared automatic interaction detection (CHAID) decision tree was developed. Carcass or piece yield was the only variable that did not show an impact on the publication quality. Moreover, color and pH measurements taken at 72 h postmortem showed a negative impact on publication interest. On the other hand, variables including water-retaining attributes, colorimetry, pH, chemical composition, and shear force traits stood out among the quality-enhancing variables due to their low inclusion in papers, while high standards improved power. |
