首页|Multi-trait modeling and machine learning discover new markers associated with s tem traits in alfalfa
Multi-trait modeling and machine learning discover new markers associated with s tem traits in alfalfa
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Alfalfa biomass can be fractionated into leaf and stem components. Leaves compr ise a protein-rich and highly digestible portion of biomass for ruminant animals , while stems constitute a high fiber and less digestible fraction, representing 50 to 70% of the biomass. “However, little attention has focused on stem-related traits, which are a key a spect in improving the nutritional value and intake potential of alfalfa.
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