Proteomic profiling: A tool to unlock the potential of Nigerian indigenous goats

Nigeria possesses a rich diversity of indigenous goats (predominantly the West African Dwarf, Sokoto Red and Sahel goats), that are superbly adapted to local environment but often underperform compared to improved breeds. Proteomic profiling emerges as a powerful avenue to bridge this gap. This approach examines the protein content of an organism, providing insights into its genetic potential. In the case of Nigerian indigenous goats, this method can reveal valuable information about their unique traits, disease resistance, and potential for improvement through selective breeding. This review underscores how integrating proteomic profiling into breeding programs can unlock genetic potential of Nigerian indigenous goats. It is however concluded that with the use of technologies involved in proteomic profiling, strategies can be formulated for Nigerian indigenous goat breeds to improve their productivity, health, and product quality. With strategic application of these technologies, supported by ongoing research and investment, proteomics can empower Nigerian goat farmers to tap into the vast potential of their indigenous breeds thus offering a powerful approach to unlocking the genetic diversity and adaptive potential of Nigerian indigenous goats. Ultimately, proteomic profiling can boost productivity, animal health and product quality, empowering Nigerian goat producers to leverage the full spectrum of their breeds’ adaptive diversity.

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Publication Details

Journal
Acta Scientiarum Biological Sciences
Published
2025-11-25
DOI
https://doi.org/10.4025/actascibiolsci.v47i1.72013
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
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article

Proteomic profiling: A tool to unlock the potential of Nigerian indigenous goats

Adeyinka Oye Akintunde, Rufus Olusegun Animashaun, Oluwafunmike Omowunmi Oyekale, Adenike Abosede Adebisi et al.
Acta Scientiarum Biological Sciences
Identification and Quantification in Food
article

Proteomic profiling: A tool to unlock the potential of Nigerian indigenous goats

Adeyinka Oye Akintunde, Rufus Olusegun Animashaun, Oluwafunmike Omowunmi Oyekale, Adenike Abosede Adebisi, Samson Oluwole Oyewumi, Lois Chidinma Ndubuisi-Ogbonna
article en

Abstract

Nigeria possesses a rich diversity of indigenous goats (predominantly the West African Dwarf, Sokoto Red and Sahel goats), that are superbly adapted to local environment but often underperform compared to improved breeds. Proteomic profiling emerges as a powerful avenue to bridge this gap. This approach examines the protein content of an organism, providing insights into its genetic potential. In the case of Nigerian indigenous goats, this method can reveal valuable information about their unique traits, disease resistance, and potential for improvement through selective breeding. This review underscores how integrating proteomic profiling into breeding programs can unlock genetic potential of Nigerian indigenous goats. It is however concluded that with the use of technologies involved in proteomic profiling, strategies can be formulated for Nigerian indigenous goat breeds to improve their productivity, health, and product quality. With strategic application of these technologies, supported by ongoing research and investment, proteomics can empower Nigerian goat farmers to tap into the vast potential of their indigenous breeds thus offering a powerful approach to unlocking the genetic diversity and adaptive potential of Nigerian indigenous goats. Ultimately, proteomic profiling can boost productivity, animal health and product quality, empowering Nigerian goat producers to leverage the full spectrum of their breeds’ adaptive diversity.

Acta Scientiarum Biological SciencesVol. 47
Babcock University (NG)
Openalex Percentile: Top 63%
Identification and Quantification in Food
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Proteomic profiling: A tool to unlock the potential of Nigerian indigenous goats — Adeyinka Oye Akintunde, Rufus Olusegun Animashaun, et al. · Acta Scientiarum Biological Sciences (2025) | TGRS Research Map | TGRS