Robotics & Machine Learning Daily News2024,Issue(Aug.19) :45-46.

University of Arkansas Details Findings in Machine Learning (Using Machine Learn ing To Combine Genetic and Environmental Data for Maize Grain Yield Predictions Across Multi-environment Trials)

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :45-46.

University of Arkansas Details Findings in Machine Learning (Using Machine Learn ing To Combine Genetic and Environmental Data for Maize Grain Yield Predictions Across Multi-environment Trials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Fayetteville, Ark ansas, by NewsRx correspondents, research stated, “Key messageIncorporatingfeat ure-engineered environmental data into machine learning-based genomic prediction models isan efficient approach to indirectly model genotype-by-environment int eractions.AbstractComplementingphenotypic traits and molecular markers with hig h-dimensional data such as climate and soil information isbecoming a common pra ctice in breeding programs. This study explored new ways to combine non-geneticinformation in genomic prediction models using machine learning.”

Key words

Fayetteville/Arkansas/United States/N orth and Central America/Cyborgs/Emerging Technologies/Engineering/Genetics/Machine Learning/University of Arkansas

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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