Improving Rumen Function

McSweeney, C. S. (EDT); Mackie, R. I. (EDT)

ISBN 10: 178676332X / ISBN 13: 9781786763327

Edité par Burleigh Dodds Science Publishing, 2020

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Détails bibliographiques

• Titre: Improving Rumen Function
• Éditeur: Burleigh Dodds Science Publishing
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 178676332X
• ISBN à 13 chiffres: 9781786763327
• Reliure: Couverture rigide
• État de l'article: As New

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Synopsis

Part 1 summarises advances in analysing the rumen microbiome. Part 2 reviews recent research on different types of rumen microbiota. Part 3 discusses the way the rumen processes nutrients whilst Part 4 explores nutritional strategies to optimise rumen function.

À propos des auteurs

Dr Chris McSweeney is Chief Research Scientist at CSIRO, Australia, and is internationally-renowned for his research in ruminant gut microbiology and its implications for nutrition and livestock emissions.

Dr Rod Mackie is Professor of Microbiology at the University of Illinois at Urbana-Champaign, USA. Professor Mackie is a leading expert on microbial ecology in the ruminant gut and its impact on nutrition and health, as well as the use of bacteria in bioenergy applications.

Christopher Creevey is Professor of Computational Biology at the School of Biological Sciences and the Institute of Global Food Security (IGFS), Queen's University, Belfast (QUB). He is an authority in systems-level analyses of biological function in both model and non-model organisms having worked previously in the European Molecular Biology Laboratory in Heidelberg and as a Science Foundation Ireland Stokes Lecturer in Teagasc and a Reader in Rumen Systems Biology at IBERS, Aberystwyth University. He develops de novo computational strategies for metagenomic and metatranscriptomic data from natural microbial communities and their hosts. Prof. Creevey leads computational analyses of the Rumen microbiome and has contributed to our understanding of the current gaps in the cultured representatives based on global meta-taxonomic sequencing.