Literature DB >> 25129498

Methane emissions among individual dairy cows during milking quantified by eructation peaks or ratio with carbon dioxide.

M J Bell1, N Saunders1, R H Wilcox1, E M Homer1, J R Goodman1, J Craigon1, P C Garnsworthy2.   

Abstract

The aims of this study were to compare methods for examining measurements of CH₄ and CO₂ emissions of dairy cows during milking and to assess repeatability and variation of CH₄ emissions among individual dairy cows. Measurements of CH₄ and CO₂ emissions from 36 cows were collected in 3 consecutive feeding periods. In the first period, cows were fed a commercial partial mixed ration (PMR) containing 69% forage. In the second and third periods, the same 36 cows were fed a high-forage PMR ration containing 75% forage, with either a high grass silage or high maize silage content. Emissions of CH₄ during each milking were examined using 2 methods. First, peaks in CH₄ concentration due to eructations during milking were quantified. Second, ratios of CH₄ and CO₂ average concentrations during milking were calculated. A linear mixed model was used to assess differences between PMR. Variation in CH₄ emissions was observed among cows after adjusting for effects of lactation number, week of lactation, diet, individual cow, and feeding period, with coefficients of variation estimated from variance components ranging from 11 to 14% across diets and methods of quantifying emissions. No significant difference was detected between the 3 PMR in CH₄ emissions estimated by either method. Emissions of CH₄ calculated from eructation peaks or as CH₄ to CO₂ ratio were positively associated with forage dry matter intake. Ranking of cows according to CH₄ emissions on different diets was correlated for both methods, although rank correlations and repeatability were greater for CH₄ concentration from eructation peaks than for CH₄-to-CO₂ ratio. We conclude that quantifying enteric CH₄ emissions either using eructation peaks in concentration or as CH₄-to-CO₂ ratio can provide highly repeatable phenotypes for ranking cows on CH₄ output.
Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  carbon dioxide; dairy cow; methane; phenotype; repeatability

Mesh:

Substances:

Year:  2014        PMID: 25129498     DOI: 10.3168/jds.2013-7889

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Heritability of methane emissions from dairy cows over a lactation measured on commercial farms.

Authors:  M Pszczola; K Rzewuska; S Mucha; T Strabel
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

2.  Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle.

Authors:  Philip C Garnsworthy; Gareth F Difford; Matthew J Bell; Ali R Bayat; Pekka Huhtanen; Björn Kuhla; Jan Lassen; Nico Peiren; Marcin Pszczola; Diana Sorg; Marleen H P W Visker; Tianhai Yan
Journal:  Animals (Basel)       Date:  2019-10-21       Impact factor: 2.752

3.  Genome-Wide Association Studies for Methane Production in Dairy Cattle.

Authors:  R Calderón-Chagoya; J H H Hernandez-Medrano; F J J Ruiz-López; A Garcia-Ruiz; V E E Vega-Murillo; M Montano-Bermudez; M E E Arechavaleta-Velasco; E Gonzalez-Padilla; E I I Mejia-Melchor; N Saunders; J A A Bonilla-Cardenas; P C C Garnsworthy; S I I Román-Ponce
Journal:  Genes (Basel)       Date:  2019-12-02       Impact factor: 4.096

4.  Detection of Methane Eructation Peaks in Dairy Cows at a Robotic Milking Station Using Signal Processing.

Authors:  Ali Hardan; Philip C Garnsworthy; Matt J Bell
Journal:  Animals (Basel)       Date:  2021-12-23       Impact factor: 2.752

5.  Feeding Forage Mixtures of Ryegrass (Lolium spp.) with Clover (Trifolium spp.) Supplemented with Local Feed Diets to Reduce Enteric Methane Emission Efficiency in Small-Scale Dairy Systems: A Simulated Study.

Authors:  Maria Danaee Celis-Alvarez; Felipe López-González; Carlos Manuel Arriaga-Jordán; Lizbeth E Robles-Jiménez; Manuel González-Ronquillo
Journal:  Animals (Basel)       Date:  2021-03-27       Impact factor: 2.752

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.