Next-generation AI and big data: Transforming crop breeding
Peer-Reviewed Publication
Updates every hour. Last Updated: 11-May-2025 03:09 ET (11-May-2025 07:09 GMT/UTC)
A recent study in Engineering delves into how next-generation artificial intelligence and big data are being applied in crop breeding. It explores the journey of crop breeding from traditional methods to intelligent design, examines China’s current position in the global seed industry, and offers suggestions for future development, aiming to enhance breeding efficiency and contribute to global food security.
A study by the IBeA research group of the University of the Basque Country (UPV/EHU) revealed relatively high concentrations of three groups of organic pollutants. The study concluded that some of these pollutants come from nearby urban areas; others originate from combustion processes currently taking place in agriculture; and finally the ones corresponding to pollution caused by pesticides and some electrical insulators before they were banned several years ago.
While food systems account for up to 30% of total global greenhouse gas emissions, Vietnam is holding high-level talks aimed at creating more sustainable farming systems in the country’s ‘food bowl,’ the Mekong Delta region.
Widespread use of genetically engineered Bt maize, designed to combat rootworm pests, has led to overplanting and pest resistance, jeopardizing the crop’s long-term effectiveness, according to a new study. The findings – informed by data from ten U.S. “Corn Belt” states – estimate that this overuse has cost U.S. farmers $1.6 billion in economic losses, emphasizing the need for improved seed diversity, transparency, and farmer decision-making to sustain transgenic crop benefits. “If current and future related innovations are managed as Bt maize hybrids have been,” say the authors, “we risk entering a cycle of rapid obsolescence among transgenic technologies…” Genetically engineered crops, particularly those incorporating insecticidal proteins from Bacillus thuringiensis (Bt), have significantly boosted global food production by reducing pest damage with minimal environmental impact. However, as the use of Bt crops increases, pests inevitably develop resistance, diminishing the effectiveness of the technology over time. Bt maize hybrids targeting corn rootworms have seen widespread use, but resistance began emerging in 2009, raising concerns about Bt maize’s long-term viability. The issue can be likened to the "tragedy of the commons," where individual actions based on self-interest lead to the overexploitation of a shared resource.
Leveraging 12 years of field trial data and farmers’ seed usage across 10 U.S. Corn Belt states, as well as an interdisciplinary approach distinguishing between self-interested decision-making and optical decisions that account for broader community impacts, Ziwei Ye and colleagues evaluated the economic consequences of diverging from optimal rootworm Bt maize planting levels. Ye et al. found that while pest pressure decreased as a result of pest suppression by Bt maize, increased planting of this crop has undermined its anti-rootworm effectiveness. Moreover, a cost-benefit analysis from 2014 to 2016 shows that Bt maize was often planted excessively, particularly in the eastern Corn Belt states, where pest pressure was low. This overuse led to minimal pest suppression benefits, higher costs for transgenic seed, and a significant depletion of the pest susceptibility pool, resulting in an estimated $1.6 billion in lifetime economic losses for growers in these regions. According to the authors, the findings highlight broader systemic issues driving Bt overuse. Discrepancies between planting for self-interests and the optical Bt planting levels are largely due to misperceptions about the overall costs and benefits of Bt maize. This is further complicated by bundled trait packages and market pressures from profit-driven seed companies. What’s more, farmers are often underinformed about rootworm pressures and the long-term implications of using Bt hybrids. “Addressing the challenges faced by regulators and raised by Ye et al. will require balancing short-term farmer incentives with long-term agricultural and environmental sustainability, ensuring that Bt crops remain viable tools for pest management,” write Zachary Brown and Dominic Reisig in a related Policy Forum.
Podcast: A segment of Science's weekly podcast with Christian Krupke, related to this research, will be available on the Science.org podcast landing page [www.science.org/podcasts] after the embargo lifts. Reporters are free to make use of the segments for broadcast purposes and/or quote from them – with appropriate attribution (i.e., cite "Science podcast"). Please note that the file itself should not be posted to any other Web site.
An analysis of data covering 12 years and 10 U.S. Corn Belt states reveals that farmers suffer economic loss from the overapplication of genetically engineered corn designed to combat rootworm pests.
The project, led by Purdue University entomologist Christian Krupke, documented greater rootworm pest pressure in the western Corn Belt states of Illinois, Iowa, Minnesota, Nebraska, North Dakota, South Dakota and Wisconsin. In these states, farmers commonly plant corn continuously. In the eastern states Corn Belt states of Indiana, Michigan and Ohio, farmers practice crop rotation that reduces the need for control through genetically engineered seed or applied insecticides. However, the use of transgenic corn hybrids targeting rootworm pests has been remarkably similar across the entire region. This study explored the consequences of this disconnect.
Sleep is as important to humans as food and water, but it is often sacrificed to work, especially for farm workers. Dairy farming, in particular, can involve long hours and substantial physical activity, especially on farms that practice block calving—when cows in a herd all calve during a set period of time, usually over six to 12 weeks. Research into how these management practices affect the sleep quality of farm workers is extremely limited. A recent article in the Journal of Dairy Science documents how researchers in New Zealand are working to fill in the research gaps, illustrating that dairy farmers’ are generally getting less sleep and experiencing more stress during spring calving season—and highlighting ways farms can combat these trends.