Improving antimicrobial resistance surveillance in livestock production

被引：0

作者：

Baker, Michelle ^{[1
]}

Dottorini, Tania ^{[1
]}

机构：

[1] Univ Nottingham, Loughborough, England

来源：

NATURE FOOD | 2023年 / 4卷 / 08期

关键词：

D O I：

10.1038/s43016-023-00835-5

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

We used a data mining approach powered by machine learning to analyse microbiomes from chickens, carcasses and environments, collected from farms and abattoirs in three Chinese provinces. The resulting network of correlations between livestock, environments, microbial communities and antimicrobial resistance suggests multiple routes for improving antimicrobial resistance surveillance in livestock production.

引用

页码：646 / 647

页数：2

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