Hostname: page-component-745bb68f8f-d8cs5 Total loading time: 0 Render date: 2025-01-18T13:55:33.952Z Has data issue: false hasContentIssue false
  • English
  • Français

Short communication: Relationship of dry matter intake with enteric methane emission measured with the GreenFeed system in dairy cows receiving a diet without or with 3-nitrooxypropanol

Published online by Cambridge University Press:  28 July 2020

A. N. Hristov Open the ORCID record for A. N. Hristov [Opens in a new window]  and
A. Melgar
A. N. Hristov*
Affiliation:
Department of Animal Science, The Pennsylvania State University, 335 Agricultural Sciences and Industries Building, University Park, PA16802, USA
A. Melgar
Affiliation:
Department of Animal Science, The Pennsylvania State University, 335 Agricultural Sciences and Industries Building, University Park, PA16802, USA
*
†E-mail: [email protected]
Get access

Abstract

The relationship between DM intake (DMI) and enteric methane emission is well established in ruminant animals but may depend on measurement technique (e.g. spot v. continuous gas sampling) and rumen environment (e.g. use of fermentation modifiers). A previous meta-analysis has shown a poor overall (i.e. 24 h) relationship of DMI with enteric methane emission in lactating dairy cows when measured using the GreenFeed system (GF; Symposium review: uncertainties in enteric methane inventories, measurement techniques, and prediction models. Journal of Dairy Science 101, 6655 to 6674). Therefore, we examined this relationship in a 15-week experiment with lactating dairy cows receiving a control diet or a diet containing the investigational product 3-nitrooxypropanol (3-NOP), an enteric methane inhibitor, applied at 60 mg/kg feed DM. Daily methane emission, measured using GF, and DMI were clustered into 12 feed-intake timeslots of 2 h each. Methane emission and DMI were the lowest 2 h before feeding and the highest within 6 h after feed provision. The overall (24 h) relationship between methane emission and DMI was poor (R2 = 0.01). The relationship for the control (but not 3-NOP) cows was improved (R2 = 0.31; P < 0.001) when DMI was allocated to timeslots and was strongest (R2 = 0.51; P < 0.001) 8 to 10 h after feed provision. Analysis of the 3-NOP emission data showed marked differences in the mitigation effect over time. There was a lack of effect in the 2-h timeslot before feeding, the mitigation effect was highest (45%) immediately after feed provision, persisted at around 32% to 39% within 10 h after feed provision, and decreased to 13%, 4 h before feeding. These trends were clearly related to DMI (i.e. 3-NOP intake) by the cows. The current analysis showed that the relationship of enteric methane emission, as measured using GF, and DMI in dairy cows depends on the time of measurement relative to time of feeding. The implication of this finding is that a sufficient number of observations, covering the entire 24-h feeding cycle, have to be collected to have representative emission estimates using the GF system. This analysis also revealed that the methane mitigation effect of 3-NOP is highest immediately after feed provision and lowest before feeding.

Keywords

greenhouse gasrumenmethane inhibitorspot gas samplingfeed intake
Type
Short Communication
Information
animal , Volume 14 , Issue S3: Greenhouse Gases and Animal Agriculture Conference (GGAA 2019), 4 - 8 August 2019, Iguassu Falls, Brazil , September 2020 , pp. s484 - s490
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Animal Consortium

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Charmley, E, Williams, SRO, Moate, PJ, Hegarty, RS, Herd, RM, Oddy, VH, Reyenga, P, Staunton, KM, Anderson, A and Hannah, MC 2016. A universal equation to predict methane production of forage-fed cattle in Australia. Animal Production Science 56, 169–180.CrossRefGoogle Scholar
DeVries, TJ, von Keyserlingk, MAG and Beauchemin, KA 2003. Short communication: Diurnal feeding pattern of lactating dairy cows. Journal of Dairy Science 86, 4079–4082.CrossRefGoogle ScholarPubMed
Hammond, KJ, Crompton, LA, Bannink, A, Dijkstra, J, Yáñez-Ruiz, DR, O’Kiely, P, Kebreab, E, Eugenè, MA, Yu, Z, Shingfield, KJ, Schwarm, A, Hristov, AN and Reynolds, CK 2016. Review of current in vivo measurement techniques for quantifying enteric methane emission from ruminants. Animal Feed Science and Technology 219, 13–30.CrossRefGoogle Scholar
Hristov, AN, Kebreab, E, Niu, M, Oh, J, Arndt, C, Bannink, A, Bayat, AR, Brito, AF, Casper, D, Crompton, LA, Dijkstra, J, Garnsworthy, PC, Haque, N, Hellwing, ALF, Huhtanen, P, Kreuzer, M, Kuhla, B, Lund, P, Madsen, J, McClelland, SC, Moate, P, Muñoz, C, Peiren, N, Powell, JM, Reynolds, CK, Schwarm, A, Shingfield, KJ, Storlien, TM, Weisbjerg, MR, Yu, Z, Boland, TB, Martin, C, Eugène, M, Yáñez-Ruiz, DR and Muetzel, S 2018. Symposium review: uncertainties in enteric methane inventories, measurement techniques, and prediction models. Journal of Dairy Science 101, 6655–6674.CrossRefGoogle ScholarPubMed
Hristov, AN and Melgar, A 2019. Variability in the relationship between enteric methane emission and dry matter intake in dairy cows. In Proceedings of the 7th International Greenhouse Gas and Animal Agriculture Conference, 4–10 August, 2019, Iguassu Falls, Brazil, pp. 82.Google Scholar
Hristov, AN, Oh, J, Giallongo, F, Frederick, T, Harper, M, Weeks, H, Branco, A, Moate, P, Deighton, M, Williams, R, Kindermann, M and Duval, S 2015. An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production. Proceedings of the National Academy of Sciences of the United States of America 112, 10663–10668.Google ScholarPubMed
Hristov, AN, Oh, J, Lee, C, Meinen, R, Montes, F, Ott, T, Firkins, J, Rotz, A, Dell, C, Adesogan, A, Yang, WZ, Tricarico, J, Kebreab, E, Waghorn, G, Dijkstra, J and Oosting, S 2013. Mitigation of greenhouse gas emissions in livestock production – a review of technical options for non-CO2 emissions, FAO, Rome, Italy.Google Scholar
Kriss, M 1930. Quantitative relations of the dry matter of the food consumed, the heat production, the gaseous outgo, and the insensible loss in body weight of cattle. Journal of Agricultural Research 40, 283–295.Google Scholar
Melgar, A, Lage, CFA, Nedelkov, K, Räisänen, SE, Stefenoni, H, Young, ME, Chen, X, Oh, J, Duval, S, Kindermann, M, Walker, ND and Hristov, AN 2019. Effects of 3-nitrooxypropanol on enteric methane emission and lactational performance of dairy cows. Journal of Dairy Science 102 (suppl. 1), 428.Google Scholar
Niu, M, Kebreab, E, Hristov, AN, Oh, J, Arndt, C, Bannink, A, Bayat, AR, Brito, AF, Boland, T, Casper, D, Crompton, LA, Dijkstra, J, Eugène, MA, Garnsworthy, PC, Haque, MN, Hellwing, ALF, Huhtanen, P, Kreuzer, M, Kuhla, B, Lund, P, Madsen, J, Martin, C, McClelland, SC, McGee, M, Moate, PJ, Muetzel, S, Muñoz, C, O’Kiely, P, Peiren, N, Reynolds, CK, Schwarm, A, Shingfield, KJ, Storlien, TM, Weisbjerg, MR, Yáñez-Ruiz, DR and Yu, Z 2018. Prediction of enteric methane production, yield and intensity in dairy cattle using an intercontinental database. Global Change Biology 24, 3368–3389.CrossRefGoogle ScholarPubMed
Niu, M, Ying, Y, Bartell, PA and Harvatine, KJ 2014. The effects of feeding time on milk production, total-tract digestibility, and daily rhythms of feeding behavior and plasma metabolites and hormones in dairy cows. Journal of Dairy Science 97, 7764–7776.CrossRefGoogle ScholarPubMed
Reynolds, CK, Humphries, DJ, Kirton, P, Kindermann, M, Duval, S and Steinberg, W 2014. Effects of 3-nitrooxypropanol on methane emission, digestion, and energy and nitrogen balance of lactating dairy cows. Journal of Dairy Science 97, 3777–3789.Google ScholarPubMed
van Lingen, HJ, Niu, M, Kebreab, E, Valadares Filho, SC, Rooke, JA, Schwarm, A, Kreuzer, M, Hynd, PI, Caetano, M, Eugène, M, Martin, C, McGee, M, O’Kiely, P, Hünerberg, M, McAllister, TA, Berchielli, TT, Messana, JD, Peiren, N, Chaves, AV, Charmley, E, Andy Cole, N, Hales, KE, Lee, SS, Berndt, A, Reynolds, CK, Crompton, LA, Bayat, AR, Yáñez-Ruiz, DR, Yu, Z, Bannink, A, Dijkstra, J, Casper, DP and Hristov, AN 2019. Prediction of enteric methane production, yield and intensity of beef cattle using an intercontinental database. Agriculture, Ecosystems & Environment 283, 106575.CrossRefGoogle Scholar