Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.
about
Linseed Oil Supplementation of Lambs' Diet in Early Life Leads to Persistent Changes in Rumen Microbiome Structure.PCR and Omics Based Techniques to Study the Diversity, Ecology and Biology of Anaerobic Fungi: Insights, Challenges and Opportunities.Enhancing the Resolution of Rumen Microbial Classification from Metatranscriptomic Data Using Kraken and Mothur.Multi-Omic Biogeography of the Gastrointestinal Microbiota of a Pre-Weaned Lamb.Air-Dried Brown Seaweed, Ascophyllum nodosum, Alters the Rumen Microbiome in a Manner That Changes Rumen Fermentation Profiles and Lowers the Prevalence of Foodborne Pathogens.Effects of fumaric acid supplementation on methane production and rumen fermentation in goats fed diets varying in forage and concentrate particle size.Metatranscriptome Sequencing Reveals Insights into the Gene Expression and Functional Potential of Rumen Wall Bacteria.FibroChip, a Functional DNA Microarray to Monitor Cellulolytic and Hemicellulolytic Activities of Rumen Microbiota.Assessment of rumen microbiota from a large cattle cohort reveals the pan and core bacteriome contributing to varied phenotypesEffect of a butyrate-fortified milk replacer on gastrointestinal microbiota and products of fermentation in artificially reared dairy calves at weaningAddressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and FutureThe Planktonic Core Microbiome and Core Functions in the Cattle Rumen by Next Generation SequencingHow Can We Define "Optimal Microbiota?": A Comparative Review of Structure and Functions of Microbiota of Animals, Fish, and Plants in AgricultureResidual feed intake in beef cattle and its association with carcass traits, ruminal solid-fraction bacteria, and epithelium gene expression16S rRNA Sequencing Reveals Relationship Between Potent Cellulolytic Genera and Feed Efficiency in the Rumen of Bulls
P2860
Q41608594-7A03AB2B-7714-4F3E-8A48-0C399752A3C3Q42101044-0B40E62A-81E9-4818-A699-A6C3F6915389Q47140369-8D43F1DF-A9E7-4C0D-978F-1249FFFFFA28Q47273070-CB48CAED-D8B6-4F36-A51E-CF2B6A0170DEQ49460858-9DEB4532-D06D-4F19-81EE-84F14432E095Q49955746-F0453E1D-2DB1-4CA3-8851-0C02077CED20Q50147509-2D12FF37-4E7C-44F2-8029-C77E2D5C6A78Q50326910-296A997D-DA1B-4AC4-9B22-3A45E305B115Q57174341-C2930968-C292-45A5-B171-D0D237EA08AFQ57296180-64EB1C33-C54A-45E4-9634-F5F72BDFB836Q57492086-E3AA6138-03EB-4B46-897E-715C0F024034Q57492413-6E600FBC-B2D6-4E43-8ABE-C702AEABB79BQ58586803-B1496776-EE6B-44E5-9ACC-4F4D2D3573D9Q58701659-BBE6F609-6650-4DBB-918D-947BEA4585F1Q58789873-E754ADDF-9035-4750-B844-3D271296E4AA
P2860
Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@ast
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@en
type
label
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@ast
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@en
prefLabel
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@ast
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@en
P2860
P356
P1476
Metatranscriptomic Profiling R ...... eed Efficiency in Beef Cattle.
@en
P2093
Le Luo Guan
P2860
P356
10.1128/AEM.00061-17
P407
P577
2017-02-24T00:00:00Z