eDNA tech transform pollination for better yields

New pollinator tracking tech boosts crop yields

Curtin University researchers have developed an innovative farming tool using eDNA metabarcoding, which captures DNA traces from plants to identify pollinators, pests, and predators. This breakthrough technology aims to improve crop yields while benefiting the environment. 

The study focused on avocado flowers, analyzing DNA from flower samples to detect interactions. According to Dr. Joshua Kestel, “We use eDNA metabarcoding to effectively amplify the DNA from whatever interacts with that flower and that lets us work out who was there. We are literally able to detect the footprints of a bee.” 

Compared to digital video monitoring, eDNA metabarcoding detected five times the number of pest species. This precision helps farmers understand which insects interact with crops, providing valuable insights into pollinator roles and pest control. 

For crops like avocados, where honeybees are less effective pollinators, this technology reveals the contribution of native pollinators. Additionally, identifying predator species enables targeted pest management strategies, reducing the need for broad pesticide use. 

Dr. Kestel highlighted the importance of this approach, saying, “At the moment, we manage these pests with very generalized methods, which comes at a huge cost, as the pesticides kill the wild pollinators and the natural predators, not just the pests you want to be rid of.” 

Though in its early stages, eDNA metabarcoding is gaining interest for its potential to transform farming. By using this method, farmers can optimize production, reduce costs, and protect the environment.

Photo Credit: gettyimages-eugenesergeev