MPWG White paperDec 18

Consensus methods for breeding low methane emitting animals

Authors: N. K. Pickering, Y. de Haas, J. Basarab, K. Cammack, B. Hayes, R. S. Hegarty, J. Lassen, J. C. McEwan, S. Miller, C. S. Pinares-Patiño, G. Shackell, P. Vercoe and V. H. Oddy

December 2013

Material in the document can be freely cited as Pickering et al (2013) “Consensus methods for breeding low methane emitting animals” a White Paper prepared by the Animal Selection, Genetics and Genomics Network of the Livestock Research Group of Global Research Alliance for reducing greenhouse gases from agriculture. http://www.asggn.org/publications,listing,95,mpwg-white-paper.html

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DISCLAIMER: This paper has been prepared by the Methane Phenotyping Working Group of the Animal Selection Genetics and Genomics Network (ASGGN) of the Global Research Alliance on Agricultural Greenhouse Gases. Every effort has been made to ensure this publication is accurate. It is intended only to provide background for technical discussion only. The authors will not be responsible for any error or omission. While every effort has been made to ensure the information in this publication is accurate, the Livestock Research Group of the Global Research Alliance on Agricultural Greenhouse Gases does not accept any responsibility or liability for error of fact, omission, interpretation or opinion that may be present, nor for the consequences of any decisions based on this information. Any view or opinion expressed does not necessarily represent the view of the Livestock Research Group of the Global Research Alliance on Agricultural Greenhouse Gases. 

 

ACKNOWLEDGEMENT: This document was commissioned by the New Zealand Government to support the goals and objectives of the in support of the Global Research Alliance on Agricultural Greenhouse Gases, but its contents rely heavily on the contributions from the individual scientists (the authors) in the Alliance member countries. The participation of these scientists and their institutions are gratefully asknowledged and warm thanks are extended for their contribution to this document.  

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