Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

1.3K
Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
1.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Evaluation of the Hindgut Microbiota and Volatile Fatty Acid Profile of Steers Fed Finishing Feedlot Ration Supplemented with or Without Calcium Gluconate.

Microorganisms·2026
Same author

Distinct Gut Microbiome Characteristics Associated with Mental Health Symptoms of Healthy Adults.

Brain sciences·2026
Same author

Unravelling the Pathotype, Biofilm, Virulome and Resistome Profile of MultiDrug-Resistant Bacteria Isolated From Cattle Faeces Using Whole Genome Sequence Analysis.

International journal of microbiology·2026
Same author

Impact of Farm Management Practices on <i>Salmonella</i> Occurrence at the Farm Level-A Blend of Traditional Methods and Artificial Intelligence.

Foods (Basel, Switzerland)·2026
Same author

Complete genome sequence of <i>Ligilactobacillus animalis</i> strain NP51.

Microbiology resource announcements·2026
Same author

Editorial: Impact of Special Issue "The Microbial Population of the Gastrointestinal Tract of Animals: Impacts on Host Physiology".

Microorganisms·2024

相关实验视频

Updated: Jan 9, 2026

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle
08:29

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle

Published on: November 30, 2018

11.8K

微生物生物标志物不同于牛肉牛的各种料效率指标.

M Mikayla Dycus1, Utsav Lamichhane1, Katherine Feldmann1

  • 1Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.

Animals : an open access journal from MDPI
|December 11, 2025
PubMed
概括

牛的料效率与特定的肠道微生物有关. 便微生物群在料效率指标 (如剩余料摄入量 (RFI)) 相关的微生物群中显示出更大的差异.

关键词:
恩格斯 (Angus) 是一个很好的球员.料转换 料转换 料转换微生物组是一个微生物组.剩余的平均每日收益.剩余料摄入量的剩余料摄入量

更多相关视频

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
11:02

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

22.9K
A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples
17:39

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples

Published on: July 16, 2017

20.9K

相关实验视频

Last Updated: Jan 9, 2026

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle
08:29

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle

Published on: November 30, 2018

11.8K
The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
11:02

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

22.9K
A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples
17:39

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples

Published on: July 16, 2017

20.9K

科学领域:

  • 动物科学动物科学
  • 微生物学 微生物学
  • 遗传学 遗传学 是一个

背景情况:

  • 牛的料效率显著影响经济可行性.
  • 料效率是一个复杂的特征,受各种因素的影响,包括微生物群.
  • 了解微生物组与料效率之间的关系对于改善畜牧业生产至关重要.

研究的目的:

  • 为了确定安格斯公牛的小微生物种群在与关键料效率指标相关的反动物和便样本.
  • 为了比较不同料效率指标 (RFI,RADG,FCR,AFCR) 对微生物群的影响.
  • 评估微生物组分析在预测和提高牛料效率方面的潜力.

主要方法:

  • 从一大群安格斯公牛 (n > 1100) 收集了反和便样本.
  • 在当代组内将动物分为RFI,RADG,FCR和AFCR的高,中,低类别.
  • 利用统计分析来确定微生物种类和多样性在料效率分类中的显著差异.

主要成果:

  • 剩余平均每日收益 (RADG) 与预期利的相关性最高.
  • 料转换比率 (FCR) 分类显示,在牛和便样本中,α多样性存在差异.
  • 便微生物组与肠微生物组相比,在与料效率 (特别是RFI) 相关的微生物家族中表现出更显著的差异.

结论:

  • 选择料效率指标会影响发现的微生物关联.
  • 便微生物组分析可能为评估牛料效率提供更容易获得的应用.
  • 便微生物群中的特定微生物家族的向可能是提高牛群料效率的一种策略.