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From Taiwo Oluwadare, Ibadan
A Nigerian doctoral researcher at Purdue University, West Lafayette, Indiana, Adebisi Ogunbawo, is breaking new ground in livestock genetics with advanced computational methods that could transform animal breeding and strengthen global food security.
As the cost of genomic testing falls and millions of animals are now being genotyped worldwide, scientists face the daunting challenge of analyzing massive datasets without overwhelming computational systems. Ogunbawo has taken up this challenge, developing efficient tools capable of processing large-scale genomic information while uncovering meaningful genetic insights.
In her latest study, “Applying the Algorithm for Proven and Young in GWAS Reveals High Polygenicity for Key Traits in Nellore Cattle,” Ogunbawo examined high-density genomic data to determine whether deeper analysis could reveal new genes linked to livestock performance. The research identified genetic regions associated with 16 critical traits including reproduction, growth, and carcass quality. While some findings confirmed known genetic signals, others unveiled novel regions never before linked to economically important cattle traits.
The functional analysis of these genes provided fresh insights into the biological pathways shaping livestock productivity. Experts say the findings could sharpen genomic selection strategies, allowing breeders to produce more resilient, efficient, and sustainable cattle.
Ogunbawo’s groundbreaking contributions have not gone unnoticed. She was recently awarded the prestigious National Animal Genome Research Program Fellowship, an honor reserved for researchers advancing the frontiers of animal genomics in the United States. Building on this platform, she is now developing next-generation computational tools aimed at pinpointing causal mutations with greater precision—research with far-reaching implications for agricultural sustainability and global food systems.
“In an era when data can overwhelm as easily as it can enlighten, Ogunbawo’s research shows how smart algorithms and scientific vision can turn big data into actionable discoveries that matter on the farm, in the marketplace, and across the nation,” a colleague observed.
