Robotics & Machine Learning Daily News2024,Issue(Oct.9) :243-243.

Global Genotype by Environment Prediction Competition Reveals That Diverse Model ing Strategies Can Deliver Satisfactory Maize Yield Estimates

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :243-243.

Global Genotype by Environment Prediction Competition Reveals That Diverse Model ing Strategies Can Deliver Satisfactory Maize Yield Estimates

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Abstract

According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "Predicting phenotypes from a combination of genetic and environmental factors i s a grand challenge of modern biology. Slight improvements in this area have the potential to save lives, improve food and fuel security, permit better care of the planet, and create other positive outcomes. "In 2022 and 2023 the first open-to-the-public Genomes to Fields (G2F) initiativ e Genotype by Environment (GxE) prediction competition was held using a large da taset including genomic variation, phenotype and weather measurements and field management notes, gathered by the project over nine years. The competition attra cted registrants from around the world with representation from academic, govern ment, industry, and non-profit institutions as well as unaffiliated.

Key words

Cyborgs/Emerging Technologies/Genetics/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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