Genetics can help the dairy industry overcome social, environmental and financial challenges, a global expert told a recent herd improvement conference.
It’s just a matter of embracing change.
World Wide Sires marketing manager, genetic consultant and mating specialist Brian Albertoni told Herd ’19 in Bendigo that genetics provided important responses to threats to the future of dairy such as concern about carbon emissions, animal welfare, competition from alternative “milk” beverages as well as a need to feed a growing global population and on-farm profitability.
“Our population is exploding, by 2050 there will be 10 billion mouths to feed,” he said. “That’s huge growth and as the growth comes, wealth improves, so those 10 billion people want a glass of milk and a hamburger. It means we have to produce 56 per cent more food than we do today. It’s scary and also a little exciting.”
He said since genomics was first available 10 years ago, milk production per cow in the United States increased 12.9 per cent, per year. “We used to talk about 80:20 rule, 80 per cent of production increases come from management and 20 per cent genetics,” Mr Albertoni said. “Today, it’s the 70:30 rule, where 30 per cent of the production increase is coming from genetics. It’s very exciting times for our industry.”
Outside of production, the environmental impact of dairying often comes into question, especially carbon emissions from agriculture. But genetics could play a role in explaining to consumers, and those disconnected from agriculture, how the industry was tackling this concern, Mr Albertoni said.
“The truth is we are focusing on genetic efficiency, especially through feed efficiency and trying to be more sustainable,” he said. “(From the perspective) of a genetic company, I’ve never seen such focus on bringing cow size down, some people don’t like it, but it’s the way it needs to be. We need to focus on bringing cow size down to be more efficient and sustainable.”
Genetics can also help overcome negative perceptions about animal welfare. For example, breeding for improved fertility combined with technologies to automate heat detection will reduce the industry’s use of synchronisation programs.
Mr Albertoni predicted genetic selection for wellness traits would “skyrocket”.
“As I travel around the world, there’s more and more people wanting genetics to make healthier animals, so they don’t have to use antibiotics,” he said.
He also used the example of polled genes to avoid dehorning, as a way genetics could help the public understand the desire for healthier cows with improved welfare management.
Selecting genetic wellness traits would also help save money on-farm through limiting issues such as mastitis and lameness while also breeding cows which live longer.
Outside of the cow itself, Mr Albertoni said genetics could help improve milk and provide benefits for consumers. He said this would help the industry as it faced increasing market pressure from alternative beverages.
“From a genetics company we need to focus on milk that tastes better,” he said. “That’s more digestible and higher quality overall. If there’s a genetic component, we are going to try and adopt that.”
A2 milk is an example of this.
In 2016 the consumption of plant-based milk alternatives tripled in the US and for the decade prior to this there had been a 25 per cent decrease in milk consumption per person. “How did we get so blind-sided?” Mr Albertoni challenged the conference.
“We must work together to promote the benefits of milk,” he said.
Genetics could also play a role in helping dairy farmers across the world manage price volatility, cut costs and run profitable businesses, Mr Albertoni said.
He said artificial insemination companies must help farmers adapt to this new business environment as well as technology. “Adapt to thrive, not just survive,” he said.
“As an AI company we must focus on all our genetic solutions, ramp them up, and we must be focused on the profitability of farms,” he said.
Profitability will go “far beyond genetics”. Mr Albertoni said there was a broader role AI companies could play on farm, this included helping farmers access technologies as well as manage and interpret data.