Global
Taming wheat blast
Environmental health and biodiversity
Researchers point out the future of the disease, the ways to manage it and prevent it from spreading — within and across continents.
The UN Food Systems Summit has arrived
Nutrition, health and food security
CIMMYT and CGIAR contributions to the SDGs highlighted in new campaign.
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
Innovations
Researchers found that prediction performance was highest using a multi-trait model.
The science behind the perfect bread and pasta flour
Nutrition, health and food security
Every year, thousands of wheat lines are analyzed in detail in the CIMMYT Wheat Quality laboratory to determine the nutritional, processing and end-use quality of the grain.
Tracing the evolution of 50 years of maize research in CGIAR
Innovations
Publication reviews the history of CGIAR maize research from 1970 to 2020.
Nitrogen-efficient wheats can provide more food with fewer greenhouse gas emissions, new study shows
Climate adaptation and mitigation
Scientists used a wild grass trait that inhibits soil microbes from producing environmentally-harmful nitrogen compounds. Widespread use of the new technology could lower global use of fertilizers for wheat crops.
How scientists are preparing wheat for climate change
Climate adaptation and mitigation
Source: Mashable (13 Aug 2021)
Matthew Reynolds talked to Mashable about the importance of developing drought-resistant crops through breeding programs to protect future wheat supplies.
New CIMMYT maize hybrids available from Latin America breeding program
Innovations
CIMMYT is offering a new set of improved maize hybrids to partners, to scale up production for farmers in these areas.
Seed giants must collaborate or be dwarfed by threat of climate change
Climate adaptation and mitigation
New funding models, such as public-private partnerships, can collectively address knowledge gaps to avoid potential catastrophes for society at large.
Can you help shape the future of plant disease detection?
Innovations
Advances in Artificial Intelligence and Machine Learning result in a breakthrough for automated detection of wheat rusts.