As global warming, land degradation, population growth and other issues loom large, researchers must find new ways to improve crop yields and resilience. Over the past decade, rapid advances in multiomics, including genomics, have led to a deep understanding of the functional genomes of a variety of crops. Genomic breeding, which combines genetics, bioinformatics, artificial intelligence and machine learning, has great potential to change the status quo of agricultural production, but also faces great challenges. How to design efficient and accurate algorithms to extract useful information from massive and complex genomic data is one of the main problems of current research. Following the success of the inaugural event in 2023, we will organize the “2nd Genome Breeding Algorithm Competition” in July-November 2024, inviting researchers and data scientists from all over the world to jointly develop new algorithms for genome breeding and contribute to the development of global agriculture.We hereby inform you of the competition as follows: As our world grapples with pressing challenges such as global warming, land degradation, and population growth, improving crop yields and resilience has become more crucial. In this era of rapid technological advancements, particularly in multiomics and genomics, we have gained profound insights into the functional genomes of diverse crops. One groundbreaking approach, genomic breeding, integrates genetics, bioinformatics, artificial intelligence (AI), and machine learning, holding immense potential to revolutionize agricultural practices. However, it also confronts significant obstacles. A key challenge lies in developing efficient and precise algorithms capable of extracting valuable information from vast and intricate genomic data.

In light of this, we are delighted to announce the launch of the “2nd Genome Breeding Algorithm Competition”.This prestigious competition aims to bring together researchers and data scientists worldwide, fostering collaboration in creating novel algorithms for genome breeding and making meaningful contributions to advancing global agriculture.