Fighting Banana Blight | Do Birds Sing In Their Dreams?
America’s most-consumed fruit is at risk from a fungal disease. Researchers in North Carolina are on a mission to save Cavendish bananas. Also, birds move their vocal organs while they sleep, mimicking how they sing. Scientists have translated those movements into synthetic birdsong.
Fighting Banana Blight In A North Carolina GreenhouseBananas are the world’s most popular fruit. Americans eat nearly 27 pounds per person every year, according to the U.S. Department of Agriculture. A deadly fungus could destroy most of the world’s crops, but a company in Research Triangle Park is trying to save the banana through gene editing.
When it comes to growing bananas, RTP may not be the first place that pops in your head. But Matt DiLeo has a greenhouse full of them.
DiLeo is Vice President of Research and Development at Elo Life Systems, a biotechnology firm that’s exploring how gene editing can improve fruits and vegetables.
On a cloudy afternoon in early April, DiLeo opened the greenhouse door and stepped into a steamy atmosphere with a slightly floral odor. This greenhouse is packed floor to ceiling with banana trees. You’ve got to duck to keep the giant leaves from hitting your face. Some of the bananas are yellow, some are green, some are tiny and pink. DiLeo says they all share an important trait.
“Many of these are naturally resistant to the TR-4 fungus,” DiLeo said.
Read the rest of the article at sciencefriday.com.
Do Birds Sing In Their Dreams?When birds sleep, what are they dreaming about? Researchers from the University of Buenos Aires have figured out a way to tap into bird dreams. When a bird slumbers, its voice box, called the syrinx, can move in ways that are similar to when they sing while they’re awake. Essentially, birds are silently singing in their dreams.
Now, researchers have figured out how to translate that vocal muscle movement into a synthetic bird song, meaning you can listen to how birds sing in their dreams.
Guest host Maggie Koerth talks with Dr. Gabriel Mindlin, professor of physics at the University of Buenos Aires about his latest bird dream research, published in the journal Chaos.
Transcripts for each segment will be available the week after the show airs on sciencefriday.com.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.