Vet World   Vol.18   September-2025  Article - 12 

Research Article

Veterinary World, 18(9): 2699-2711

https://doi.org/10.14202/vetworld.2025.2699-2711

Integrating morphometrics and seminal plasma metabolomics to predict fertility in Yoruba Ecotype × Sussex crossbred cocks

Adeyinka Oye Akintunde1 ORCID, Stacey Ogheneovo Ohwofa1 ORCID, Imam Mustofa2 ORCID, Lois Chidinma Ndubuisi-Ogbonna1 ORCID, Samson Oluwole Oyewumi1 ORCID, and Aswin Rafif Khairullah3 ORCID

1. Department of Agriculture and Industrial Technology, Babcock University, Ilishan-Remo, Ogun State, Nigeria.

2. Division of Veterinary Reproduction, Faculty of Veterinary Medicine, Universitas Airlangga, Kampus C Unair, Mulyorejo, Surabaya 60115, Indonesia.

3. Research Center for Veterinary Science, National Research and Innovation Agency (BRIN), Jl. Raya Bogor Km. 46 Cibinong, Bogor 16911, West Java, Indonesia.

Background and Aim: Enhancing poultry reproductive performance is essential for improving productivity and addressing protein shortages in developing regions. Yoruba ecotype chickens (YECs) are resilient but limited in commercial potential due to small body size and low egg yield. This study assessed the fertilizing potential of YEC × Sussex (SS) crossbred cocks by integrating conventional reproductive morphometrics with seminal plasma metabolite profiling to identify potential biomarkers of sperm quality.

Materials and Methods: Thirty 24-week-old YEC × SS cocks (2842.86 ± 137.33 g) were evaluated over 28 days. Semen was collected through abdominal massage, and semen volume, sperm concentration, and testosterone levels (enzyme-linked immunosorbent assay) were recorded. Testicular and epididymal morphometrics, densities, and sperm reserves were mea­sured. Seminal plasma metabolites were analyzed using high-performance liquid chromatography-mass spectrometry. Pearson correlations and linear regression models were applied to predict testosterone concentration from semen and morphometric traits.

Results: The left testis was heavier (8.00 g) and larger in volume (12.77 mL) than the right (6.75 g; 1.35 mL). Spermatozoa reserves averaged 0.20 × 109, with a strong positive correlation with testis volume (r = 0.998, p < 0.01) and a moderate neg­ative correlation with daily sperm production (r = –0.585, p < 0.01). Testosterone concentration prediction from live weight, semen volume, and sperm concentration achieved high accuracy (R2 = 0.829). Thirteen seminal plasma metabolites were identified, including ascorbic acid, quercetin, epicatechin, citric acid, and procyanidin B2 – compounds linked to antioxidant defense, energy metabolism, and sperm viability.

Conclusion: YEC × SS crossbred cocks exhibit favorable reproductive morphometrics, strong correlations between testis vol­ume and sperm reserves, and a metabolite profile enriched in fertility-enhancing antioxidants. Predictive models using basic semen traits can reliably estimate testosterone levels, while identified metabolites have potential as biochemical markers for breeding selection. Integrating morphometric and metabolomic profiling can refine breeding strategies, improve artifi­cial insemination outcomes, and enhance the genetic improvement of local poultry breeds.

Keywords: metabolomics, morphometrics, sperm quality, Sussex crossbreed, food security, Yoruba ecotype.

How to cite this article: Akintunde AO, Ohwofa SO, Mustofa I, Ndubuisi-Ogbonna LC, Oyewumi SO, Khairullah AR (2025) Integrating morphometrics and seminal plasma metabolomics to predict fertility in Yoruba Ecotype × Sussex crossbred cocks, Veterinary World, 18(9): 2699-2711.

Received: 27-05-2025   Accepted: 11-08-2025   Published online: 11-09-2025

Corresponding author: Imam Mustofa    E-mail: imam.mustofa@fkh.unair.ac.id

DOI: 10.14202/vetworld.2025.2699-2711

Copyright: Akintunde, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.