Traditional genetic improvement programs have been built on collecting phenotypic data such as birth, weaning, yearling and carcass weights.
“Those phenotypes have driven the industry’s increase in productivity — productivity on the rail and in the feedyard,” says Troy Rowan, University of Tennessee assistant professor of beef cattle genomics. “Commercial data is going to be more and more important. The seedstock producer has traditionally been our main collector of phenotypic records. We understand we need to measure things like disease resistance and fertility in the environments that matter to the commercial producers. So, we’ve got to integrate those commercial records. And there’s new technologies coming online that are going to help us get there easier and in a more consistent and accurate way.”
Rowan recently authored a white paper that examines industry research and results from the Imagine: AGI’s Beef Genetics Forum, which took place Sept. 25-26, 2024. Hosted by Angus Genetics Inc. the event was attended by professionals from academic, research, allied industry and ranching backgrounds.
“The big question the Angus Association wanted to ask their producers and folks from across the industry is, ‘What are we missing?’ and ‘What are the technologies and approaches that are going to allow us to work toward increasing profitability,’” Rowan explains.
One of the major themes of the paper is the numerous technological developments poised to affect phenotype collection. Examples include computer-vision technology and wearable sensors.
“By using these technologies to measure traits on continuous scales rather than the categorical scales we currently use for traits like hair shedding or foot angle, we can increase precision of phenotype measurements and consequently improve the quality of EPDs (expected progeny differences) over time,” Rowan says.
He also discusses the types of data most important and economically viable for the industry to pursue. Advancing terminal and maternal traits, health and other challenging areas of production will require data integration and more advanced tools.
“We should work on developing genetic selection tools that capture all elements of commercial profitability, continuing to improve yield and the eating experience of our end product while also making our cow herd more efficient, adapted and productive,” Rowan summarizes.
In the paper, Rowan says the greatest opportunities moving forward rely on capturing and leveraging commercial data throughout the value chain.
“This will require radical collaboration and coordination between industry partners,” he writes. “While individual data points from a commercial herd or a processing plant may not be individually valuable, capturing multiple sources of data in the aggregate will enable genetic evaluations to fill important gaps in their systems with high-quality tools.”
He says the efforts that leverage new technologies and integrate new data sources will require five main considerations:
- Phenotypes are, and will always be, the backbones of genetic evaluation: While much of our forward-looking focus is on new and novel phenotypes measured by increasingly complex technologies, we still have far from complete reporting for our core economically relevant traits (ERTs). No amount of genomic testing can make up for a lack of phenotypic reporting. In the immediate term, the continued adoption of whole-herd reporting will improve genetic predictions and open opportunities to extract new phenotypes.
- Standardization of phenotype collection, both by producers and via algorithms, will be essential. “From the inception of genetic evaluations, we have worked to standardize trait definitions and best practices for recording,” Rowan says. “This motivated the creation of the Beef Improvement Federation, which continues to publish best practices. Next-generation phenotyping technologies will have many more variables that can impact raw phenotypes, making the standardization of recording, processing and cleaning even more important.”
- Seedstock producers may not be able to shoulder the full financial burden of phenotypic collection. “Seedstock producers have traditionally borne the full cost of phenotyping with the understanding that records will help increase the accuracy of EPDs for their animals,” he explains. “However, as we seek to measure more expensive phenotypes, the economics of phenotyping will become more difficult.”
- Genetic evaluations will have to balance the deluge of new technology with the resulting payoff in EPD quality and utility. “Not every phenotype is worth measuring,” Rowan says. “As new technologies come online, genetic evaluations will need to consider the costs and return on investment carefully.”
- Data sharing will be essential to leveraging the impact of phenotypic collection across industry segments. Economically important phenotypes can be collected at every step of the beef supply chain. From cow-calf operations to feedlots to processors to consumer feedback, data is constantly being collected. When we can tie this data back to an individual animal and its genetics, the possibilities of improving efficiency, animal well-being and consumer experience are limitless.
To hear more discussion about the white paper, you can listen to “The Angus Conversation” podcast: Genetic Innovation Requires Leadership and Data — The Phenotype Paradox in the Beef Industry.
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