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

Bell, Matthew; Saunders, Neil F. W.; Wilcox, R. H.; Homer, Elizabeth; Goodman, John C.; Craigon, J.; Garnsworthy, P. C.

doi:10.3168/jds.2013-7889

Cited by 40 publications

(43 citation statements)

References 15 publications

(4 reference statements)

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“…However, the ratio reported by van Engelen et al (2018) might have been inflated due to the lower CO 2 concentrations reported. The CO 2 concentrations obtained in the current study support those obtained by other studies on Holsteins cows fed PMR indoors in the United Kingdom and Denmark (e.g., Bell et al, 2014;Difford et al, 2016). The CO 2 emission trait tends to be repeatable (e.g., Lassen et al, 2012;Bell et al, 2014;Difford et al, 2016;Lassen and Løvendahl, 2016).…”

Section: Discussionsupporting

confidence: 88%

Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing

Szalanski

Kristensen

Difford

et al. 2019

Journal of Dairy Science

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Organic dairy cows in Denmark are often kept indoors during the winter and outside at least part time in the summer. Consequently, their diet changes by the season. We hypothesized that grazing might affect enteric CH 4 emissions due to changes in the nutrition, maintenance, and activity of the cows, and they might differentially respond to these factors. This study assessed the repeatability of enteric CH 4 emission measurements for Jersey cattle in a commercial organic dairy herd in Denmark. It also evaluated the effects of a gradual transition from indoor winter feeding to outdoor spring grazing. Further, it assessed the individual-level correlations between measurements during the consecutive feeding periods (phenotype × environment, P × E) as neither pedigrees nor genotypes were available to estimate a genotype by environment effect. Ninety-six mixed-parity lactating Jersey cows were monitored for 30 d before grazing and for 24 d while grazing. The cows spent 8 to 11 h grazing each day and had free access to an in-barn automatic milking system (AMS). For each visit to the AMS, milk yield was recorded and logged along with date and time. Monitoring equipment installed in the AMS feed bins continuously measured enteric CH 4 and CO 2 concentrations (ppm) using a noninvasive "sniffer" method. Raw enteric CH 4 and CO 2 concentrations and their ratio (CH 4 : CO 2 ) were derived from average concentrations measured during milking and per day for each cow. We used mixed models equations to estimate variance components and adjust for the fixed and random effects influencing the analyzed gas concentrations. Univariate models were used to precorrect the gas measurements for diurnal variation and to estimate the direct effect of grazing on the ana-lyzed concentrations. A bivariate model was used to assess the correlation between the 2 periods (in-barn vs. grazing) for each gas concentration. Grazing had a weak P × E interaction for daily average CH 4 and CO 2 gas concentrations. Bivariate repeatability estimates for average CH 4 and CO 2 concentrations and CH 4 : CO 2 were 0.77 to 0.78, 0.73 to 0.80, and 0.26, respectively. Repeatability for CH 4 : CO 2 was low (0.26) but indicated some between-animal variation. In conclusion, grazing does not create significant shifts compared with indoor feeding in how animals rank for average CH 4 and CO 2 concentrations and CH 4 : CO 2 . We found no evidence that separate evaluation is needed to quantify enteric CH 4 and CO 2 emissions from Jersey cows during inbarn and grazing periods.

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Section: Discussionsupporting

confidence: 88%

Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing

Szalanski

Kristensen

Difford

et al. 2019

Journal of Dairy Science

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“…Cattle CO 2 production is reported to increase during the daytime, but at a lower rate than enteric CH 4 production (Kinsman et al, 1995;Lassen et al, 2012), which could explain the greater daytime values of CH 4 / CO 2 . This ratio diel trend was consistent with results reported in previous studies (Bell et al, 2014;Kinsman et al, 1995;Lassen et al, 2012).…”

Section: Temporal and Spatial Variation Of Methane And Carbon Dioxidesupporting

confidence: 93%

Estimating Herd‐Scale Methane Emissions from Cattle in a Feedlot Using Eddy Covariance Measurements and the Carbon Dioxide Tracer Method

Prajapati

Santos

2019

J of Env Quality

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Measurements of methane (CH4) emissions from ruminants could provide invaluable data to reduce uncertainties in the global CH4 budget and to evaluate mitigation strategies to lower greenhouse gas emissions. The main objective of this study was to evaluate a new CO2 tracer (CO2T) approach that combined CH4 and CO2 atmospheric concentrations with eddy covariance (EC) CO2 flux measurements to estimate CH4 emissions from cattle in a feedlot. A closed‐path EC system was used to measure CH4 and CO2 fluxes from a feedlot in Kansas. The EC flux measurements were scaled from landscape to animal scale using footprint analyses. Emissions of CH4 from the cattle were also estimated using the CO2T approach and measured CO2 and CH4 concentration, and scaled EC CO2 fluxes. The CH4 and CO2 concentration ratios showed a distinct diel trend with greater values during the daytime. Average monthly CH4 emission estimates using the CO2T approach ranged from 72 to 127 g animal−1 d−1, which was consistent with the values reported in other studies that had similar animal characteristics. The CO2T method CH4 emission estimates showed good agreement with scaled CH4 EC fluxes (slope = 0.9 and R2 = 0.8) for cold and dry months. However, the agreement between the two techniques was significantly reduced (slope = 1.5 and R2 = 0.6) during wet and warm months. On average, the CO2T method CH4 emission estimates were 3% greater than the EC CH4 emissions. Overall, our results suggest that the CO2T method can be used to estimate enteric feedlot CH4 emissions. Core Ideas The CO2 tracer method (CO2T) was used to estimate enteric CH4 emissions in a feedlot. The CO2T method estimates were in good agreement with eddy covariance (EC) measurements. The agreement between CO2T and EC method was reduced during the wet and warm months.

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“…The positive correlation between spot measurements of CH 4 obtained during milking and total daily CH 4 emissions by the same cows when housed subsequently in respiration chambers in a previous study [10], and the ability of the technique to detect the effect of diet [10,24], has led to considerable research into the spot measurement technique. The approach is reliant on several spot measurements within a day and over several days (at least seven days) of measurements to be able to rank cows as low or high producers of CH 4 [25].…”

Section: Resultsmentioning

confidence: 99%

Effect of Feeding System on Enteric Methane Emissions from Individual Dairy Cows on Commercial Farms

Eckert

Bell

Potterton

et al. 2018

Land

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This study investigated the effects of feeding system on diurnal enteric methane (CH 4 ) emissions from individual cows on commercial farms. Data were obtained from 830 cows across 12 farms, and data collated included production records, CH 4 measurements (in the breath of cows using CH 4 analysers at robotic milking stations for at least seven days) and diet composition. Cows received either a partial mixed ration (PMR) or a PMR with grazing. A linear mixed model was used to describe variation in CH 4 emissions per individual cow and assess the effect of feeding system. Methane emissions followed a consistent diurnal pattern across both feeding systems, with emissions lowest between 05:00 and 08:59, and with a peak concentration between 17:00 and 20:59. No overall difference in emissions was found between feeding systems studied; however, differences were found in the diurnal pattern of CH 4 emissions between feeding systems. The response in emissions to increasing dry matter intake was higher for cows fed PMR with grazing. This study showed that repeated spot measurements of CH 4 emissions whilst cows are milked can be used to assess the effects of feeding system and potentially benchmark farms on level of emissions.

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

Cited by 40 publications

References 15 publications

Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing

Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing

Estimating Herd‐Scale Methane Emissions from Cattle in a Feedlot Using Eddy Covariance Measurements and the Carbon Dioxide Tracer Method

Effect of Feeding System on Enteric Methane Emissions from Individual Dairy Cows on Commercial Farms

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