“The United States has been the world’s largest supplier of cattle genetics since at least 1992. In 2022, the US exported $295 million in bovine semen, 47 percent of the world’s exports. Few countries even come close to this market share: the next biggest exporters are Canada at 14 percent and the Netherlands at seven.

America’s cows are now extraordinarily productive. In 2024, just 9.3 million cows will produce 226 billion pounds of milk (about 100 million tons) – enough milk to provide ten percent of 333 million insatiable Americans’ diets, and export for good measure.

And that’s despite the fact that none of the cattle breeds the US exports are indigenous to the country. The world’s most popular dairy cow breed, the Holstein-Friesian, hails from the border between the Netherlands and Germany; the Jersey and Guernsey dairy breeds both originate from islands in the English Channel.

In many low-income countries, livestock products, including dairy cows, are critical for providing both nutrition and farming livelihoods. As a result, the US’s role in the global livestock genetics market lends it an outsize role not only in the genetic improvement of cattle but as an arbiter of rural development worldwide.

How did the US achieve this? In a word: data. This is the story of how the power of big data, combined with an ambitious public-private partnership between dairy farmers and the US Department of Agriculture, enabled the US to engineer the modern dairy cow and transform the dairy industry.”

From Works in Progress.

“Advancements in recombinant DNA, cloning, and biomanufacturing have reduced our reliance on animals to serve as chemical factories while leading to more precise and efficient antibodies and antivenoms. We have now reached the point where just about any molecule that has historically been made from animals can be made synthetically from engineered cells. However, just because it is technically feasible to move completely away from biopharming does not mean that it will be easy. And while there has been progress in eschewing animal-derived products in some areas, such as with insulin, others, like synthetic antivenom or vaccine production, have been less straightforward. Solutions to these require not only mimicking what animal biology does naturally but doing so at scale.”

From Works in Progress.

“Waymo is gearing up to bring its robotaxi service to Miami which will accelerate an expansion that’s been happening while its hobbled rivals remain in its rearview mirror.

As part of the road map unfurled Thursday, Waymo plans to begin testing its driverless Jaguars in Miami next year, giving the robotaxis time to learn their way around Florida’s biggest city before they start charging for rides in 2026. The move comes less than a month after Waymo opened up its robotaxi service to anyone looking for a ride in an 80-square-mile (129-square-kilometer) expanse in Los Angeles, extending its reach beyond its two major markets in Phoenix and San Francisco.

Waymo also has plans to launch fleets in Atlanta and Austin next year as part of a partnership with the ride-hailing leader Uber.”

From Associated Press.

“Avalo, a crop development company based in North Carolina, is using machine learning models to accelerate the creation of new and resilient crop varieties.

The traditional way to select for favorable traits in crops is to identify individual plants that exhibit the trait – such as drought resistance – and use those plants to pollinate others, before planting those seeds in fields to see how they perform. But that process requires growing a plant through its entire life cycle to see the result, which can take many years.

Avalo uses an algorithm to identify the genetic basis of complex traits like drought, or pest resistance in hundreds of crop varieties. Plants are cross-pollinated in the conventional way, but the algorithm can predict the performance of a seed without needing to grow it – speeding up the process by as much as 70%, according to Avalo chief technology officer Mariano Alvarez.”

From CNN.