Canonical and hierarchical analyses of body measurements in four Nigerian cattle breeds under an extensive management system
J. J. Okoh, W. P. B. Putra, Y. Ibrahim, A. Maigado, S. Ibrahim, B. S. Ma’aruf, A. Shuaibu, J. P. Adakole, R. S. Harahap

TL;DR
This study uses body measurements to differentiate four Nigerian cattle breeds, finding that some breeds are genetically similar based on their physical traits.
Contribution
The study introduces canonical and hierarchical analyses to classify Nigerian cattle breeds based on morphometric traits under extensive management.
Findings
Thirteen body measurement variables effectively characterized four Nigerian cattle breeds.
Gudali and Azawak breeds showed high classification accuracy, while White Fulani and Red Bororo were genetically similar.
Canonical correlation coefficients of 0.95 and 0.86 indicated strong discriminatory power of the analyses.
Abstract
Cattle are significant livestock worldwide, primarily kept for meat and milk production. Four Nigerian cattle breeds of White Fulani (Bos indicus), Gudali (Bos indicus), Azawak (Bos indicus), and Red Bororo (Bos taurus × Bos indicus) had the genetic potential to produce meat and milk optimally under extensive management systems. This study aimed to characterize these four adult Nigerian cattle breeds based on 26 body measurement variables. Two statistical analyses, canonical discriminant analysis (CDA) and hierarchical cluster analysis (HCA), were performed to differentiate the breeds using SPSS 16.0 software. The results revealed that 13 variables of head width, head length, body length, body width, body depth, chest length, chest girth, chest depth, rump length, rump width, hump length, hump width, and dewlap width were discriminant variables for characterizing the four Nigerian…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsGenetic and phenotypic traits in livestock · Livestock and Poultry Management · Livestock Farming and Management
