Background: This study investigated greenhouse gas (GHG) emission characteristics of lactating Holstein dairy cows in East China and provided a basis for formulating GHG emission reduction measures. GreenFeed system was used to measure the amount of methane (CH) and carbon dioxide (CO) emitted by the cows through respiration. Data from a commercial cow farm were used to observe the effects of parity, body weight, milk yield, and milk component yield on CH and CO emissions.
Results: Mean herd responses throughout the study were as follows: 111 cows completed all experimental processes, while 42 cows were rejected because they were sick or had not visited the GreenFeed system 20 times. On average, lactating days of cows was 138 ± 19.04 d, metabolic weight was 136.5 ± 9.5 kg, parity was 2.8 ± 1.0, dry matter intake (DMI) was 23.1 ± 2.6 kg/d, and milk yield was 38.1 ± 6.9 kg/d. The GreenFeed system revealed that CH production (expressed in CO equivalent, CO-eq) was found to be 8304 g/d, [Formula: see text]/DMI was 359 g/kg, [Formula: see text]/energy-corrected milk (ECM) was 229.5 g/kg, total CO production (CH production plus CO production) was 19,201 g/d, total CO/DMI was 831 g/kg, and total CO/ECM was 531 g/kg. The parity and metabolic weight of cows had no significant effect on total CO emissions (P > 0.05). Cows with high milk yield, milk fat yield, milk protein yield, and total milk solids yield produced more total CO (P < 0.05), but their total CO production per kg of ECM was low (P < 0.05). The total CO/ECM of the medium and high milk yield groups was 17% and 27% lower than that of the low milk yield group, respectively.
Conclusions: The parity and body condition had no effect on total CO emissions, while the total CO/ECM was negatively correlated with milk yield, milk fat yield, milk protein yield, and total milk solids yield in lactating Holstein dairy cows. Measurement of total CO emissions of dairy cows in the Chinese production system will help establish regional or national GHG inventories and develop mitigation approaches to dairy production regimes.
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http://dx.doi.org/10.1186/s40104-022-00721-3 | DOI Listing |
JDS Commun
January 2025
Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland, P61 P302.
Although 3-nitrooxypropanol (3-NOP; Bovaer10) has been proven to reduce enteric methane (CH) by ∼30% in indoor systems of dairying when the additive is mixed throughout TMR and partial mixed ration (PMR) diets, there has been limited research to date on the CH abatement potential of 3-NOP when mixed within a diet based on perennial ryegrass silage only and fed to pregnant nonlactating dairy cows. To investigate the effect of 3-NOP supplementation on enteric CH emissions of pregnant nonlactating dairy cows, a 6-wk study was undertaken in which treatment cows were supplemented with 3-NOP mixed within grass silage, whereas control cows were offered grass silage without additive supplementation. Enteric CH, hydrogen (H), and carbon dioxide (CO) were measured using a GreenFeed machine.
View Article and Find Full Text PDFJ Anim Sci
January 2025
University of Reading, School of Agriculture, Policy and Development, Earley gate, RG6 6EU Reading, United Kingdom.
This study investigated the effects of different protein sources on feed intake, nutrient, and energy utilization, growth performance, and enteric methane (CH4) emissions in growing beef cattle, also evaluated against a pasture-based diet. Thirty-two Holstein × Angus growing beef were allocated to four dietary treatments: a total mixed ration (TMR) including solvent-extracted soybean meal as the main protein source (SB; n = 8), TMR with local brewers' spent grains (BSG; n = 8), TMR with local field beans (BNS; n = 8), and a diet consisting solely of fresh-cut Italian ryegrass (GRA; n = 8). Every four weeks, animals were moved to digestibility stalls within respiration chambers to measure nutrient intakes, energy and nitrogen (N) utilization, and enteric CH4 emissions.
View Article and Find Full Text PDFTransl Anim Sci
January 2025
Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta T1J 4B1, Canada.
A study was conducted to assess growth performance, methane (CH) emissions, and feeding behavior of feedlot steers consuming backgrounding and finishing diets with an essential oil blend (EO), monensin (Mon), and their combination (EO + Mon). The study was structured as a 2 × 2 factorial, with two feed additive treatments (Control, EO) and two monensin treatments (no Monensin, Monensin). One hundred Angus × steers were evenly distributed across each treatment into four pens, and each dietary phase consisted of four, 28-d periods.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Department of Applied Animal Science & Welfare, Swedish University of Agricultural Sciences (SLU), Box 7024, 753 23 Uppsala, Sweden.
Methane emissions from ruminant digestion contribute significantly to global anthropogenic greenhouse gas emissions. Members of the phylum Rhodophyta (red algae), particularly Asparagopsis sp., have shown promising results in reducing methane emissions in ruminants, due to their high content of halogenated methane analog compounds.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Department of Animal and Veterinary Sciences, Aarhus University, AU Viborg - Research Centre Foulum, 8830 Tjele, Denmark. Electronic address:
There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives. Recommendations include study design and statistical analysis of the data, dietary effects, associative effect of AMFA with other mitigation strategies, appropriate methods for measuring methane emissions, production and physiological responses to AMFA, and their effects on animal health and product quality.
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