Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：126-127.

Hartwick College Reports Findings in Machine Learning (Barley Grain Proteome Ass essment Using Multi-Environment Trial Data and Machine Learning)

哈特维克学院报告了机器学习的发现(大麦谷物蛋白质组评估使用多环境试验数据和机器学习)

Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：126-127.
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Hartwick College Reports Findings in Machine Learning (Barley Grain Proteome Ass essment Using Multi-Environment Trial Data and Machine Learning)

哈特维克学院报告了机器学习的发现(大麦谷物蛋白质组评估使用多环境试验数据和机器学习)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑在纽约Oneonta的报道中指出，“蛋白质组学可以用来评估蛋白质组学的作用。”个体蛋白质丰度，能反映基因型和环境效应，并能在一定程度上反映个体蛋白质丰度预测谷物/麦芽质量。在本研究中，79个大麦籽粒样品（ge基因型-位置-年份组合）使用液相色谱-质谱联用仪对加州多环境试验(20 17-2022年)的结果进行了评估光谱分析。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Oneonta, New York, by NewsRx editors, research stated, “Proteomics can be used to assessindividual pr otein abundances, which could reflect genotypic and environmental effects and po tentiallypredict grain/malt quality. In this study, 79 barley grain samples (ge notype-location-year combinations)from Californian multi-environment trials (20 17-2022) were assessed using liquid chromatography-massspectrometry.”

Key words

Oneonta/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Peptides and Proteins/Proteins/Proteome/Proteomics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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