Pectoral angle: a glance at a traditional phenotypic trait in chickens from a new perspective

• Published in: The Journal of agricultural science 2023-08, Vol.161 (4), p.606-615
• Main Authors: Vakhrameev, Anatoly B., Narushin, Valeriy G., Larkina, Tatyana A., Barkova, Olga Y., Peglivanyan, Grigoriy K., Dysin, Artem P., Dementieva, Natalia V., Shcherbakov, Yuri S., Pozovnikova, Marina V., Griffin, Darren K., Romanov, Michael N.
• Format: Article
• Language: English
• Subjects: Animal husbandry; Birds; Body weight; Breeding; Chickens; Clustering; Conformation; Correlation; Egg production; Eggs; Females; Gene pool; Meat; Poultry; Productivity
• ISSN: 0021-8596; 1469-5146
• DOI: 10.1017/S002185962300045X

In meat-type poultry breeding, pectoral angle (PA) is a conventional anatomical indicator for changes in body conformation and meat traits; its correlation to egg performance is however deemed controversial. In this context, we revisited, assessed and put forward evidence for the usefulness of this classic phenotypic variable and its specific integrative index of pectoral angle-to-body weight ratio (PA/BW). Specifically, we identified respective correlations and used them for distinguishing the major categories (production types) of diverse chicken breeds under the traditional classification model (TCM) and genotypic clustering models of the global chicken gene pool subdivision. Also, the usefulness of the supplementary integrative egg mass yield index (EMY) for this objective was demonstrated. Because of estimating the total mass of eggs laid (i.e. egg number times egg weight), EMY can serve as an indicator of egg production. Direct approximation of EMY values by PA and BW values did not lead to significant correlation dependences between these indicators in each of the four breed utility types according to TCM. However, using the ratio of PA to BW, instead of PA and BW alone, resulted in significant correlation of EMY with PA/BW, allowing for distinction between egg-type and non-productive breeds. The validity of the proposed correlation-based models was supported by PCA and Neighbor Joining clustering analyses. Collectively, we suggested that PA can be a potentially correlated trait for selecting hens and roosters in breeding flocks to boost egg yield. These results can also be applied to chicken breeding as well as conservation- and phenome-related research.