Literature DB >> 25349368

Measures of methane production and their phenotypic relationships with dry matter intake, growth, and body composition traits in beef cattle.

R M Herd1, P F Arthur2, K A Donoghue3, S H Bird1, T Bird-Gardiner3, R S Hegarty4.   

Abstract

Ruminants contribute up to 80% of greenhouse gas (GHG) emissions from livestock, and enteric methane production by ruminants is the main source of these GHG emissions. Hence, reducing enteric methane production is essential in any GHG emissions reduction strategy in livestock. Data from 2 performance-recording research herds of Angus cattle were used to evaluate a number of methane measures that target methane production (MPR) independent of feed intake and to examine their phenotypic relationships with growth and body composition. The data comprised 777 young bulls and heifers that were fed a roughage diet (ME of 9 MJ/kg DM) at 1.2 times their maintenance energy requirements and measured for MP in open circuit respiration chambers for 48 h. Methane traits evaluated included DMI during the methane measurement period, MPR, and methane yield (MY; MPR/DMI), with means (± SD) of 6.2 ± 1.4 kg/d, 187 ± 38 L/d, and 30.4 ± 3.5 L/kg, respectively. Four forms of residual MPR (RMP), which is a measure of actual minus predicted MPR, were evaluated. For the first 3 forms, predicted MPR was calculated using published equations. For the fourth (RMPR), predicted MPR was obtained by regression of MPR on DMI. Growth traits evaluated were BW at birth, weaning (200 d of age), yearling age (400 d of age), and 600 d of age, with means (± SD) of 34 ± 4.6, 238 ± 37, 357 ± 45, and 471 ± 53 kg, respectively. Body composition traits included ultrasound measures (600 d of age) of rib fat, rump fat, and eye muscle area, with means (± SD) of 3.8 ± 2.6 mm, 5.4 ± 3.8 mm, and 61 ± 7.7 cm(2), respectively. Methane production was positively correlated (r ± SE) with DMI (0.65 ± 0.02), MY (0.72 ± 0.02), the RMP traits (r from 0.65 to 0.79), the growth traits (r from 0.19 to 0.57), and the body composition traits (r from 0.13 to 0.29). Methane yield was, however, not correlated (r ± SE) with DMI (-0.02 ± 0.04) as well as the growth (r from -0.03 to 0.11) and body composition (r from 0.01 to 0.06) traits. All the RMP traits were strongly correlated to MY (r from 0.82 to 0.95). These results indicate that reducing MPR per se can have a negative impact on growth and body composition of cattle. Reducing MY, however, will likely have the effect of reducing MPR without impacting productivity. Where a ratio trait is undesirable, as in animal breeding, any of the RMP traits can be used instead of MY. However, where independence from DMI is desired, RMPR should be a trait worth considering.

Entities:  

Keywords:  cattle; greenhouse gas; methane; respiration chamber

Mesh:

Substances:

Year:  2014        PMID: 25349368     DOI: 10.2527/jas.2014-8273

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


  13 in total

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2.  A comparison of methods for estimating forage intake, digestibility, and fecal output in red deer (Cervus elaphus).

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3.  Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq.

Authors:  Kristina L Weber; Bryan T Welly; Alison L Van Eenennaam; Amy E Young; Laercio R Porto-Neto; Antonio Reverter; Gonzalo Rincon
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4.  Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep.

Authors:  Janine Kamke; Priya Soni; Yang Li; Siva Ganesh; William J Kelly; Sinead C Leahy; Weibing Shi; Jeff Froula; Edward M Rubin; Graeme T Attwood
Journal:  BMC Res Notes       Date:  2017-08-08

5.  Rumen metagenome and metatranscriptome analyses of low methane yield sheep reveals a Sharpea-enriched microbiome characterised by lactic acid formation and utilisation.

Authors:  Janine Kamke; Sandra Kittelmann; Priya Soni; Yang Li; Michael Tavendale; Siva Ganesh; Peter H Janssen; Weibing Shi; Jeff Froula; Edward M Rubin; Graeme T Attwood
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Review 6.  Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Authors:  Robert J Wallace; Timothy J Snelling; Christine A McCartney; Ilma Tapio; Francesco Strozzi
Journal:  Genet Sel Evol       Date:  2017-01-16       Impact factor: 4.297

7.  Genome-wide association identifies methane production level relation to genetic control of digestive tract development in dairy cows.

Authors:  M Pszczola; T Strabel; S Mucha; E Sell-Kubiak
Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

8.  Identification of Rumen Microbial Genes Involved in Pathways Linked to Appetite, Growth, and Feed Conversion Efficiency in Cattle.

Authors:  Joana Lima; Marc D Auffret; Robert D Stewart; Richard J Dewhurst; Carol-Anne Duthie; Timothy J Snelling; Alan W Walker; Tom C Freeman; Mick Watson; Rainer Roehe
Journal:  Front Genet       Date:  2019-08-08       Impact factor: 4.599

9.  Effects of Three Herbs on Methane Emissions from Beef Cattle.

Authors:  María Fernanda Vázquez-Carrillo; Hugo Daniel Montelongo-Pérez; Manuel González-Ronquillo; Epigmenio Castillo-Gallegos; Octavio Alonso Castelán-Ortega
Journal:  Animals (Basel)       Date:  2020-09-16       Impact factor: 2.752

10.  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

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