4 stories matching “Crop breeding”.

University of Queensland scientists propose widening the genetic combinations and growing conditions examined in breeding programmes to uncover options for improving productivity and resilience as conventional gains slow.
Source University of Queensland

The four-year TRITON programme will combine artificial intelligence, crop modelling and gene editing to accelerate breeding for climate resilience, with an emphasis on making research tools accessible internationally.
Source Wageningen University & Research

The EU-funded EVOLVE project will investigate whether signals released by wheat roots can influence beneficial microorganisms, potentially opening routes to improved nutrient use and drought resilience through future breeding.
Source Aarhus University Department of Food Science

A University of Idaho-led research collaboration is developing harvest-integrated measurements and AI models to connect crop genetics with stalk strength, aiming to improve breeding for resistance to bending and breakage.
Source University of Idaho