SEPTEMBER 2026 SEEDWORLD.COM / 19 can do fate analysis and we can look at historical data and run simulations and say this is how we predict this germplasm would have performed in these fields.” The growing availability of data contin ues to strengthen those models. “We have much more access to data than we've ever had,” she says. “Whether we're buying satellite data, taking our own UAV (drone) data or we're just inputting our standard automated mechanisms for collecting data, our ability to compute insane amounts of data is just rapidly increasing.” The resulting breeding environment helps researchers evaluate possibilities, prioritize resources and advance genetics. “We can simulate millions of scenar ios, climate scenarios, and then we can directly connect that to the genetics that we're putting in the field,” Honold says. Breeding for a Changing Environment Modern plant breeders aren’t simply chasing higher yields. They are working to develop crops that can withstand shift ing disease pressures, changing weather patterns and new environmental realities. “We see the effects of climate change,” Honold says. “We see the pat terns with all this data we're collecting.” Those observations are pushing breeders to place greater emphasis on resilience alongside productivity. For Honold, that work often conflicts with public perception. “I think some people feel like we’re working against nature and we're really working with nature,” she says. She says the goal is to help drive sus tainable practices while breeding environ mentally adaptable crops. “We want to create crops that are resilient to climate change,” she adds. She believes many people underesti mate challenges growers face. “How hard it is to run a business and to be a farmer with all of these variables that they have to work with — I think it's really shortchanged,” Honold says. Looking Beyond the Seed The conversation around innovation is also expanding beyond individual products. For decades, success often centered on delivering the next better hybrid or variety. Today, companies increasingly evaluate how genetics fit within broader farming systems. “I think we’re being much more delib erate about systems as well,” Honold says. That means considering crop rotations and cover crops to biofuels, soil health and digital management tools. “We’re thinking about the whole system,” she says. “When are they plant ing corn? When are they growing soy? When can they use a cover crop and all the components in it?” The industry no longer measures suc cess by a single hybrid or variety. “It’s not just, here's the best corn we can give you,” Honold says. “Instead we ask what makes sense for the whole system.” That systems-focused mindset is increasingly important as the seed sector tries to improve efficiency, create revenue streams and support sustainability. The Next Genetic Gain Curve Many breeders use the term genetic gain to describe the steady improve ment in crop performance over time. Every increase in yield potential, disease resistance, stress tolerance or agronomic performance reflects that progress. Predictive breeding, larger datasets, digital modeling and gene editing are allowing researchers to evaluate more variation, make better decisions and move promising genetics through the pipeline. With gene editing and increasingly sophisticated predictive tools, Honold expects breeders to access a broader pool of genetic variation and identify high-performing combinations more effi ciently than ever before. “With gene editing [the rate of genetic gain is] only going to increase, with more rapid mechanisms to sample a much greater pool of variation,” she says. For growers facing tighter margins, changing weather patterns and increasing production challenges, faster innovation could translate into better options and more resilient cropping systems. “I think it's really going to benefit the farmer,” Honold says, “because they’re going to see innovation much faster.” SW Julia Honold, Bayer North America breeding lead, rides in a combine during harvest. Honold says advances in AI, predictive breeding and gene editing are helping breeders accelerate genetic gain while developing crops that can perform in increasingly complex production environments. PHOTO: JULIA HONOLD
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