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From the seeds of discovery to improved crops

KAUST ·

KAUST Professor Salim Al-Babili is working to improve crop performance and nutritional value, with a focus on pearl millet. He received a $5 million grant from the Gates Foundation in 2018 to combat the parasitic plant Striga hermonthica, which causes billions in losses annually in Sub-Saharan Africa. His team is developing hormone-based strategies to protect pearl millet from Striga infestation, a project spanning lab research to field trials in Saudi Arabia and Africa. Why it matters: This research addresses critical food security challenges in both Africa and the Middle East by developing practical tools for smallholder farmers, bridging the gap between lab discoveries and real-world applications.

Saving miracle grains needed to feed the world

KAUST ·

KAUST researchers are studying the chemical signals in pearl millet that trigger the germination of Striga seeds, a parasitic plant. The research aims to understand the biological compounds involved in Striga infestation. The goal is to induce Striga germination without host plants, reducing Striga seed banks in infested soils. Why it matters: Addressing Striga infestation can improve crop yields and food security, especially in regions relying on pearl millet.

Tackling food security through genetic technology

KAUST ·

Dr. John Bedbrook of DiCE Molecules LLC spoke at KAUST about the challenges of feeding a growing population with increasingly stressed arable land. He noted the increasing demand for meat in emerging economies exacerbates the problem. Bedbrook emphasized the role of genetics and hybridization in improving crop yields and quality to address food security. Why it matters: Investments in agricultural biotechnology are crucial for the GCC region to enhance food security and reduce reliance on imports amid changing climate conditions.

Collaborative Work on Stress-Tolerant Crop Plants

KAUST ·

KAUST professors Samir Hamdan and Nina Fedoroff collaborated on research published in Nucleic Acids Research focusing on microRNA (miRNA) biogenesis in plants. The study examined miRNA production in Arabidopsis thaliana and found that the protein SERRATE (SE) is integral to the processing of pri-miRNA by DCL1. They characterized the interactions of SE with RNA and DCL1, elucidating the mechanism by which SE promotes DCL1 activity. Why it matters: Understanding miRNA biogenesis could help modify crop plants to better tolerate stressful conditions, potentially increasing crop yields and productivity in the region.

Feeding the world in a changing climate

KAUST ·

KAUST's Center of Excellence for Sustainable Food Security (CoE-SFS) has launched 12 translation projects focused on plant growth and water security, establishing partnerships with public and private entities to scale up research. Mark Tester's team developed stress-tolerant rootstocks, grafted onto crops like tomatoes, that thrive in hot, dry conditions with increased yields. Through his start-up Iyris, Tester is conducting commercial field trials in over 12 countries. Why it matters: These efforts to adapt agriculture to environmental change are crucial for ensuring food security in Saudi Arabia, the region, and globally, especially in the face of climate change and limited water resources.

Forecasting crop yields in an era of extreme weather

MBZUAI ·

MBZUAI Professor Fakhri Karray and colleagues from the University of Waterloo are using AI to forecast crop yields, focusing on the impact of extreme temperatures on California strawberry yields. The research uses historical climate and agricultural data to predict yields, addressing issues from 2023 when unusual weather caused a $100 million loss to the strawberry industry. Better predictions could benefit consumers, farmers, and the agricultural industry by improving pricing and supply chain management. Why it matters: This research can improve understanding of agricultural system vulnerabilities amid climate change and extreme weather.

Dates Fruit Disease Recognition using Machine Learning

arXiv ·

This paper proposes a machine learning method for early detection and classification of date fruit diseases, which are economically important to countries like Saudi Arabia. The method uses a hybrid feature extraction approach combining L*a*b color features, statistical features, and Discrete Wavelet Transform (DWT) texture features. Experiments using a dataset of 871 images achieved the highest average accuracy using Random Forest (RF), Multilayer Perceptron (MLP), Naïve Bayes (NB), and Fuzzy Decision Trees (FDT) classifiers.

‘Snip, edit, grow’ with gene editing techniques for improving food security

KAUST ·

KAUST researchers are working to improve gene editing tools, specifically CRISPR/Cas9, for crop bioengineering to address food security challenges. Magdy Mahfouz's lab is developing a germline engineering platform to produce gene-edited plants without foreign DNA and bypass time-consuming tissue culture. A recent European court decision classifies CRISPR/Cas9 crops as GMOs, facing stringent regulations, contrasting with the U.S. where CRISPR-edited mushrooms are already available. Why it matters: Advances in gene editing at KAUST could significantly enhance crop yields and stress tolerance in the region, but regulatory hurdles remain a key challenge for deployment.