Skip to main content
×
Home
    • Aa
    • Aa

Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements

  • D. J. Cottle (a1), J. Velazco (a1), R. S. Hegarty (a1) and D. G. Mayer (a2)
Abstract

Spot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a GreenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of splines on a ‘per-animal per-day’ basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about sending content to Dropbox.

      Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about sending content to Google Drive.

      Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements
      Available formats
      ×
Copyright
Corresponding author
E-mail: dcottle@une.edu.au
References
Hide All
C Benchaar , J Rivest , C Pomar and J Chiquette 1998. Prediction of methane production from dairy cows using existing mechanistic models and regression equations. Journal of Animal Science 76, 617627.

DA Boadi , KM Wittenberg and AD Kennedy 2002. Validation of the sulphur hexafluoride SF6. Tracer gas technique for measurement of methane and carbon dioxide production by cattle. Canadian Journal of Animal Science 82, 125131.

MGG Chagunda , D Ross and DJ Roberts 2009. On the use of a laser methane detector in dairy cows. Computers and Electronics in Agriculture 68, 157160.

DJ Cottle 2013. The trials and tribulations of estimating the pasture intake of grazing animals. Animal Production Science 53, 12091220.

LA Crompton , JAN Mills , CK Reynolds and J France 2011. Fluctuations in methane emission in response to feeding pattern in lactating dairy cows. In Modelling nutrient digestion and utilisation in farm animals (ed. D Sauvant, J Milgen, P Faverdin and N Friggens), pp. 176180. Wageningen Academic Publishers, Wageningen, The Netherlands.

J Dijkstra , J France , MS Dhanoa , JA Maas , MD Hanigan , AJ Rook and DE Beever 1997. A model to describe growth patterns of the mammary gland during pregnancy and lactation. Journal of Dairy Science 80, 23402354.

PC Garnsworthy , J Craigon , JH Hernandez-Medrano and N Saunders 2012. On-farm methane measurements during milking correlate with total methane production by individual dairy cows. Journal of Dairy Science 95, 31663180.

LA Harper , OT Denmead , JR Freney and FM Byers 1999. Direct measurements of methane emissions from grazing and feedlot cattle. Journal of Animal Science 77, 13921401.

PM Kennedy and E Charmley 2012. Methane yields from Brahman cattle fed tropical grasses and legumes. Animal Production Science 52, 225239.

PW Moe and HF Tyrrell 1979. Methane production in dairy cows. Journal of Dairy Science 62, 15801586.

A Münger and M Kreuzer 2008. Absence of persistent methane emission differences in three breeds of dairy cows. Australian Journal of Experimental Agriculture 48, 7782.

CS Pinares-Patiño , R Baumont and C Martin 2003. Methane emissions by Charolais cows grazing a monospecific pasture of timothy at four stages of maturity. Canadian Journal of Animal Science 83, 769777.

M Ramin and P Huhtanen 2013. Development of equations for predicting methane emissions from ruminants. Journal of Dairy Science 96, 24762493.

JB Russell 1998. The importance of pH in the regulation of ruminal acetate to propionate ratio and methane production in vitro. Journal of Dairy Science 81, 32223230.

MJ Ulyatt , KR Lassey , ID Shelton and CF Walker 2002. Seasonal variation in methane emission from dairy cows and breeding ewes grazing ryegrass/white clover pasture in New Zealand. New Zealand Journal of Agricultural Research 45, 217226.

J Velazco , DJ Cottle and R Hegarty 2014. Methane emissions and feeding behaviour of feedlot cattle supplemented with nitrate or urea. Animal Production Science 54, 17371740.

JB Vlaming , N Lopez-Villalobos , IM Brookes , SO Hoskin and H Clark 2008. Within- and between-animal variance in methane emissions in non-lactating dairy cows. Australian Journal of Experimental Agriculture 48, 124127.

PDP Wood 1967. Algebraic model of the lactation curve in cattle. Nature 216, 164165.

RS Hegarty , JP Goopy , RM Herd and B McCorkell 2007. Cattle selected for lower residual feed intake have reduced daily methane production. Journal of Animal Science 85, 14791486.

JL Ellis , E Kebreab , NE Odongo , BW McBride , EK Okine and J France 2007. Prediction of methane production from dairy and beef cattle. Journal of Dairy Science 90, 34563467.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

animal
  • ISSN: 1751-7311
  • EISSN: 1751-732X
  • URL: /core/journals/animal
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Type Description Title
WORD
Supplementary Materials

Cottle supplementary material
Figure S1

 Word (18 KB)
18 KB

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 11
Total number of PDF views: 184 *
Loading metrics...

Abstract views

Total abstract views: 231 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 17th October 2017. This data will be updated every 24 hours.