Assessing individual differences in enteric methane emission among beef heifers using the GreenFeed Emission Monitoring system: effect of the length of testing period on precision
G. Renand A C and D. Maupetit BA Institut national de la Recherche Agronomique, UMR 1313 Génétique Animale et Biologie Intégrative, 78352, Jouy en Josas, France.
B Institut national de la Recherche Agronomique, UE 332 Domaine Expérimental de Bourges, 18390, Osmoy, France.
C Corresponding author. Email: gilles.renand@jouy.inra.fr
Animal Production Science 56(3) 218-223 https://doi.org/10.1071/AN15429
Submitted: 16 August 2015 Accepted: 28 October 2015 Published: 9 February 2016
Abstract
The GreenFeed Emission Monitoring system was used to measure individual greenhouse gas (GHG) emissions while recording feed intake of beef heifers. That technique provides spot-measures of methane (CH4) and carbon dioxide (CO2) fluxes at each visit to the GreenFeed feeder. A sampling variance is attached at each spot-measure due to circadian variation in GHG emission. Averaging spot-measures is required for reducing that sampling error when evaluating GHG emissions of individual cattle. The objective of the present study was to evaluate the length of test period and number of spot-measures for precisely assessing differences among beef heifers. The within-individual (σ2r) and across-individual (σ2i) variances of GHG-flux measures were estimated for 124 Charolais beef heifers fed a roughage diet during an 8-week test period, following 3–4 weeks of adaptation. High repeatability coefficients (>0.77) were obtained with 4-week test averages and ~100 spot-measures for CH4 and CO2 fluxes. Equivalent repeatability was obtained for dry matter intake (DMI). Lower repeatability (<0.7) was obtained for combined traits, namely, CH4/CO2, CH4/DMI and CO2/DMI. Higher precision would have been obtained if the first 2 weeks were not used but considered as further adaptation. In that case, about 50 spot-measures recorded during a 2-week test would be sufficient for a precise individual measure of CH4 emissions. For genetic evaluation, test duration of 5 weeks may be recommended for the simultaneous recording of CH4 emission and feed intake.
Additional keywords: cattle, greenhouse gas, individual measures, repeatability.
References
Archer JA, Arthur PF, Herd RM, Parnell PF, Pitchford WS (1997) Optimum postweaning test for measurement of growth rate, feed intake, and feed efficiency in British breed cattle. Journal of Animal Science 75, 2024–2032.| Optimum postweaning test for measurement of growth rate, feed intake, and feed efficiency in British breed cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2sXltl2it7g%3D&md5=0efada03f9ed58a6b2063ff13faaf0f5CAS | 9263047PubMed |
Bell MJ, Saunders N, Wilcox RH, Homer EM, Goodman JR, Craigon J, Garnsworthy PC (2014) Methane emissions among individual dairy cows during milking quantified by eructation peaks or ratio with carbon dioxide. Journal of Dairy Science 97, 6536–6546.
| Methane emissions among individual dairy cows during milking quantified by eructation peaks or ratio with carbon dioxide.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtlGnu7rN&md5=c7e5081e80f1d463221800faeffe8bfaCAS | 25129498PubMed |
BIF (2010) ‘Guidelines for uniform beef improvement programs: ninth edition.’ (Beef Improvement Federation, North Carolina State University: Raleigh, NC)
de Haas Y, Windig JJ, Calus MPL, Dijkstra J, De Haan M, Bannink A, Veerkamp RF (2011) Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection. Journal of Dairy Science 94, 6122–6134.
| Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsFClsbvL&md5=ef0f4a4107c2103203bc10704fcba95cCAS |
Dorich CD, Varner RK, Pereira ABD, Martineau R, Soder KJ, Brito AF (2015) Short communication: use of portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted. Journal of Dairy Science 98, 2676–2681.
| Short communication: use of portable, automated, open-circuit gas quantification system and the sulfur hexafluoride tracer technique for measuring enteric methane emissions in Holstein cows fed ad libitum or restricted.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXisVSitbw%3D&md5=55f3927aa7b02b7dd4f5a2d7face56abCAS | 25660738PubMed |
Herd RM, Arthur PF, Donoghue KA, Bird SH, Bird-Gardiner T, Hegarty RS (2014) Measures of methane production and their phenotypic relationships with dry matter intake, growth, and body composition traits in beef cattle. Journal of Animal Science 92, 5267–5274.
| Measures of methane production and their phenotypic relationships with dry matter intake, growth, and body composition traits in beef cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXitlartw%3D%3D&md5=c17a1cb11bffd89430e7403c5b06ec85CAS | 25349368PubMed |
Huhtanen P, Cabezas-Garcia EH, Utsumi S, Zimmerman S (2015) Comparison of methods to determine methane emissions from dairy cows in farm conditions. Journal of Dairy Science 98, 3394–3409.
| Comparison of methods to determine methane emissions from dairy cows in farm conditions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXktlSrsbc%3D&md5=42423aea2d561a10d5d577d9e2bc800dCAS | 25771050PubMed |
Johnson KA, Huyler M, Westberg H, Lamb B, Zimmerman P (1994) Measurement of methane emissions from ruminant livestock using a sulfur hexafluoride tracer technique. Environmental Science & Technology 28, 359–362.
| Measurement of methane emissions from ruminant livestock using a sulfur hexafluoride tracer technique.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2cXmtFahtA%3D%3D&md5=09da0253067f1085eb8ff7ed3d418f98CAS |
Lassen J, Lovendahl P, Madsen J (2012) Accuracy of non invasive breath methane measurements using Fourier transform infrared methods on individual cows. Journal of Dairy Science 95, 890–898.
| Accuracy of non invasive breath methane measurements using Fourier transform infrared methods on individual cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsFSmtro%3D&md5=a4f0c121293cbf9d8edcda64f1596e60CAS | 22281353PubMed |
Pinares-Patiño CS, Hickey SM, Young EA, Dodds KG, MacLean S, Molano G, Sandoval E, Kjestrup H, Harland R, Hunt C, Pickering NK, McEwan JC (2013) Heritability estimates of methane emissions from sheep. Animal 7, 316–321.
| Heritability estimates of methane emissions from sheep.Crossref | GoogleScholarGoogle Scholar | 23739473PubMed |
Robinson DL, Goopy JP, Hegarty RS, Oddy VH, Thompson AN, Toovey AF, Macleay CA, Briegal JR, Woodgate RT, Donaldson AJ, Vercoe PE (2014) Genetic and environmental variation in methane emissions of sheep at pasture. Journal of Animal Science 92, 4349–4363.
| Genetic and environmental variation in methane emissions of sheep at pasture.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhvFKrtrzM&md5=dac53f63ee90097118da07d1cfb54cc6CAS | 25149329PubMed |
SAS Institute Inc. (2015) ‘SAS® 9.4 statements: reference.’ 4th edn. (SAS Institute Inc.: Cary, NC)
Wang Z, Nkrumah JD, Li C, Basarab JA, Goonewardene LA, Okine EK, Crews DH, Moore SS (2006) Test duration for growth, feed intake, and feed efficiency in beef cattle using the GrowSafe system. Journal of Animal Science 84, 2289–2298.
| Test duration for growth, feed intake, and feed efficiency in beef cattle using the GrowSafe system.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XovFGktLw%3D&md5=de0080fd495fd1fbabdb9c9c2efac6d7CAS | 16908631PubMed |