Farms.com Home   News

Understanding Crop Pest Evolution May Boost Biocontrol

Understanding Crop Pest Evolution May Boost Biocontrol

The Egyptian cotton leafworm (Spodoptera littoralis) is a pest species in France. It is found throughout the Mediterranean Basin as well as in Africa and the Middle East. Moth larvae are extremely polyphagous and cause damage to diverse crop species (e.g., corn, legumes, cotton, tomatoes, peppers).

As part of broader efforts to reduce pesticide levels, researchers must develop effective biocontrol methods. Such strategies often rely on disrupting reproduction and trapping moths using, most commonly, . However, pheromone synthesis is an expensive process, and it thus remains important to have other control strategies on hand. To this end, researchers need to improve their understanding of olfactory receptors in this moth.

In 2019, researchers identified OR5, an  in the Egyptian cotton leafworm that recognizes the main compound in the female sex pheromone blend. In this new study, the same scientists explored the receptor's evolutionary trajectory within Spodoptera to better characterize its functionality and specificity.

They used a combined approach in which they resurrected ancestral receptors in the laboratory, with the help of computer analysis, and they modeled the 3D structure of the receptors. They were thus able to determine that OR5 appeared around 7 million years ago. The researchers also employed site-directed mutagenesis to explore OR5's genetic fine-tuning, which allowed them to identify the eight  (AAs) behind the receptor's high degree of specificity.

This finding is particularly unexpected, given that past research on receptor evolution has suggested just one or two AA substitutions suffice to change the functionality of ecologically important receptors.

Click here to see more...

Trending Video

What If Everything You Knew About Feed Inventory Was Wrong?

Video: What If Everything You Knew About Feed Inventory Was Wrong?

AI, Agriculture & the Future of Smart Farming with BinSentry CEO Ben Allen. Every day, livestock producers make thousands of dollars' worth of decisions based on one simple question: How much feed is actually left in the bin? For decades, the answer has often been an estimate.

In this episode of AgTech with Andrew, I sit down with Ben Allen, CEO of BinSentry, to explore how artificial intelligence, machine vision and real-time data are transforming one of agriculture's most overlooked challenges—feed and grain inventory management.
We discuss why some of the biggest inefficiencies in livestock production aren't happening in the barn, but throughout the feed supply chain. Ben shares insights from his career leading agricultural technology companies, explains why AI must solve real business problems to earn producer trust, and offers his vision for the connected farm of the future.

In this interview, you'll discover:
Why feed inventory has remained one of agriculture's biggest blind spots
How AI is reducing costly feed outages, waste and unnecessary deliveries
The hidden safety risks of traditional bin inspections
What separates successful ag technologies from those that never gain adoption
How connected farms are changing decision-making for producers, feed mills and integrators
Why real-time inventory may become as important as precision planting and autonomous equipment

Whether you're a livestock producer, grain farmer, feed manufacturer, ag retailer, nutritionist or simply passionate about the future of agriculture, this conversation offers valuable insights into where the industry is headed.