Literature DB >> 27065252

Genomic heritabilities and genomic estimated breeding values for methane traits in Angus cattle.

B J Hayes, K A Donoghue, C M Reich, B A Mason, T Bird-Gardiner, R M Herd, P F Arthur.   

Abstract

Enteric methane emissions from beef cattle are a significant component of total greenhouse gas emissions from agriculture. The variation between beef cattle in methane emissions is partly genetic, whether measured as methane production, methane yield (methane production/DMI), or residual methane production (observed methane production - expected methane production), with heritabilities ranging from 0.19 to 0.29. This suggests methane emissions could be reduced by selection. Given the high cost of measuring methane production from individual beef cattle, genomic selection is the most feasible approach to achieve this reduction in emissions. We derived genomic EBV (GEBV) for methane traits from a reference set of 747 Angus animals phenotyped for methane traits and genotyped for 630,000 SNP. The accuracy of GEBV was tested in a validation set of 273 Angus animals phenotyped for the same traits. Accuracies of GEBV ranged from 0.29 ± 0.06 for methane yield and 0.35 ± 0.06 for residual methane production. Selection on GEBV using the genomic prediction equations derived here could reduce emissions for Angus cattle by roughly 5% over 10 yr.

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Year:  2016        PMID: 27065252     DOI: 10.2527/jas.2015-0078

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  12 in total

1.  Selecting for Feed Efficient Cows Will Help to Reduce Methane Gas Emissions.

Authors:  Coralia Ines Valentina Manzanilla-Pech; Rasmus Bak Stephansen; Gareth Frank Difford; Peter Løvendahl; Jan Lassen
Journal:  Front Genet       Date:  2022-05-26       Impact factor: 4.772

2.  Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries).

Authors:  Elizabeth M Ross; Ben J Hayes; David Tucker; Jude Bond; Stuart E Denman; Victor Hutton Oddy
Journal:  J Anim Sci       Date:  2020-10-01       Impact factor: 3.159

3.  A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions.

Authors:  R John Wallace; Goor Sasson; Philip C Garnsworthy; Ilma Tapio; Emma Gregson; Paolo Bani; Pekka Huhtanen; Ali R Bayat; Francesco Strozzi; Filippo Biscarini; Timothy J Snelling; Neil Saunders; Sarah L Potterton; James Craigon; Andrea Minuti; Erminio Trevisi; Maria L Callegari; Fiorenzo Piccioli Cappelli; Edward H Cabezas-Garcia; Johanna Vilkki; Cesar Pinares-Patino; Kateřina O Fliegerová; Jakub Mrázek; Hana Sechovcová; Jan Kopečný; Aurélie Bonin; Frédéric Boyer; Pierre Taberlet; Fotini Kokou; Eran Halperin; John L Williams; Kevin J Shingfield; Itzhak Mizrahi
Journal:  Sci Adv       Date:  2019-07-03       Impact factor: 14.136

4.  Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data.

Authors:  Ali Jalil Sarghale; Mohammad Moradi Shahrebabak; Hossein Moradi Shahrebabak; Ardeshir Nejati Javaremi; Mahdi Saatchi; Majid Khansefid; Younes Miar
Journal:  BMC Genet       Date:  2020-11-23       Impact factor: 2.797

5.  Bovine host genome acts on rumen microbiome function linked to methane emissions.

Authors:  Marina Martínez-Álvaro; Marc D Auffret; Carol-Anne Duthie; Richard J Dewhurst; Matthew A Cleveland; Mick Watson; Rainer Roehe
Journal:  Commun Biol       Date:  2022-04-12

6.  Enteric methane mitigation interventions.

Authors:  Julia Q Fouts; Mallory C Honan; Breanna M Roque; Juan M Tricarico; Ermias Kebreab
Journal:  Transl Anim Sci       Date:  2022-04-08

7.  Genetic parameters of methane emissions determined using portable accumulation chambers in lambs and ewes grazing pasture and genetic correlations with emissions determined in respiration chambers.

Authors:  Arjan Jonker; Sharon M Hickey; Suzanne J Rowe; Peter H Janssen; Grant H Shackell; Sarah Elmes; Wendy E Bain; Janine Wing; Gordon J Greer; Brooke Bryson; Sarah MacLean; Ken G Dodds; Cesar S Pinares-Patiño; Emilly A Young; Kevin Knowler; Natalie K Pickering; John C McEwan
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

8.  Genetic and genomic analyses for predicted methane-related traits in Japanese Black steers.

Authors:  Yoshinobu Uemoto; Masayuki Takeda; Atushi Ogino; Kazuhito Kurogi; Shinichro Ogawa; Masahiro Satoh; Fuminori Terada
Journal:  Anim Sci J       Date:  2020 Jan-Dec       Impact factor: 1.749

Review 9.  Methane Emissions from Ruminants in Australia: Mitigation Potential and Applicability of Mitigation Strategies.

Authors:  John L Black; Thomas M Davison; Ilona Box
Journal:  Animals (Basel)       Date:  2021-03-29       Impact factor: 2.752

10.  How necessary and feasible are reductions of methane emissions from livestock to support stringent temperature goals?

Authors:  Andy Reisinger; Harry Clark; Annette L Cowie; Jeremy Emmet-Booth; Carlos Gonzalez Fischer; Mario Herrero; Mark Howden; Sinead Leahy
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-09-27       Impact factor: 4.226

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