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Marumo JL, LaPierre PA, Van Amburgh ME. Enteric Methane Emissions Prediction in Dairy Cattle and Effects of Monensin on Methane Emissions: A Meta-Analysis. Animals (Basel) 2023; 13:ani13081392. [PMID: 37106954 PMCID: PMC10135289 DOI: 10.3390/ani13081392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/28/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Greenhouse gas emissions, such as enteric methane (CH4) from ruminant livestock, have been linked to global warming. Thus, easily applicable CH4 management strategies, including the inclusion of dietary additives, should be in place. The objectives of the current study were to: (i) compile a database of animal records that supplemented monensin and investigate the effect of monensin on CH4 emissions; (ii) identify the principal dietary, animal, and lactation performance input variables that predict enteric CH4 production (g/d) and yield (g/kg of dry matter intake DMI); (iii) develop empirical models that predict CH4 production and yield in dairy cattle; and (iv) evaluate the newly developed models and published models in the literature. A significant reduction in CH4 production and yield of 5.4% and 4.0%, respectively, was found with a monensin supplementation of ≤24 mg/kg DM. However, no robust models were developed from the monensin database because of inadequate observations under the current paper's inclusion/exclusion criteria. Thus, further long-term in vivo studies of monensin supplementation at ≤24 mg/kg DMI in dairy cattle on CH4 emissions specifically beyond 21 days of feeding are reported to ensure the monensin effects on the enteric CH4 are needed. In order to explore CH4 predictions independent of monensin, additional studies were added to the database. Subsequently, dairy cattle CH4 production prediction models were developed using a database generated from 18 in vivo studies, which included 61 treatment means from the combined data of lactating and non-lactating cows (COM) with a subset of 48 treatment means for lactating cows (LAC database). A leave-one-out cross-validation of the derived models showed that a DMI-only predictor model had a similar root mean square prediction error as a percentage of the mean observed value (RMSPE, %) on the COM and LAC database of 14.7 and 14.1%, respectively, and it was the key predictor of CH4 production. All databases observed an improvement in prediction abilities in CH4 production with DMI in the models along with dietary forage proportion inclusion and the quadratic term of dietary forage proportion. For the COM database, the CH4 yield was best predicted by the dietary forage proportion only, while the LAC database was for dietary forage proportion, milk fat, and protein yields. The best newly developed models showed improved predictions of CH4 emission compared to other published equations. Our results indicate that the inclusion of dietary composition along with DMI can provide an improved CH4 production prediction in dairy cattle.
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Affiliation(s)
- Joyce L Marumo
- Department of Animal Science, Cornell University, Ithaca, NY 14853, USA
| | - P Andrew LaPierre
- Department of Animal Science, Cornell University, Ithaca, NY 14853, USA
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Miller GA, Auffret MD, Roehe R, Nisbet H, Martínez-Álvaro M. Different microbial genera drive methane emissions in beef cattle fed with two extreme diets. Front Microbiol 2023; 14:1102400. [PMID: 37125186 PMCID: PMC10133469 DOI: 10.3389/fmicb.2023.1102400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/29/2023] [Indexed: 05/02/2023] Open
Abstract
The ratio of forage to concentrate in cattle feeding has a major influence on the composition of the microbiota in the rumen and on the mass of methane produced. Using methane measurements and microbiota data from 26 cattle we aimed to investigate the relationships between microbial relative abundances and methane emissions, and identify potential biomarkers, in animals fed two extreme diets - a poor quality fresh cut grass diet (GRASS) or a high concentrate total mixed ration (TMR). Direct comparisons of the effects of such extreme diets on the composition of rumen microbiota have rarely been studied. Data were analyzed considering their multivariate and compositional nature. Diet had a relevant effect on methane yield of +10.6 g of methane/kg of dry matter intake for GRASS with respect to TMR, and on the centered log-ratio transformed abundance of 22 microbial genera. When predicting methane yield based on the abundance of 28 and 25 selected microbial genera in GRASS and TMR, respectively, we achieved cross-validation prediction accuracies of 66.5 ± 9% and 85 ± 8%. Only the abundance of Fibrobacter had a consistent negative association with methane yield in both diets, whereas most microbial genera were associated with methane yield in only one of the two diets. This study highlights the stark contrast in the microbiota controlling methane yield between animals fed a high concentrate diet, such as that found on intensive finishing units, and a low-quality grass forage that is often found in extensive grazing systems. This contrast must be taken into consideration when developing strategies to reduce methane emissions by manipulation of the rumen microbial composition.
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Affiliation(s)
- Gemma A. Miller
- Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
- Gemma A. Miller,
| | | | - Rainer Roehe
- Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
| | - Holly Nisbet
- Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
| | - Marina Martínez-Álvaro
- Institute for Animal Science and Technology, Universitat Politècnica de València, Valencia, Spain
- *Correspondence: Marina Martínez-Álvaro,
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Leitanthem VK, Chaudhary P, Maiti S, Mohini M, Mondal G. Impact of Moringa oleifera Leaves on Nutrient Utilization, Enteric Methane Emissions, and Performance of Goat Kids. Animals (Basel) 2022; 13:97. [PMID: 36611706 PMCID: PMC9817938 DOI: 10.3390/ani13010097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 12/28/2022] Open
Abstract
The development of different innovative feed resources for livestock is important to provide the essential nutrients and diminish the emission of greenhouse gases. The purpose of the present experiment was to study the response of replacing concentrate with Moringa oleifera leaves in terms of the nutrient intake, digestibility, enteric methane emissions, and performance of goat kids with a berseem-fodder-based diet under different roughage (R)-to-concentrate (C) ratios. Twenty-four goat kids (3 months of age) were distributed into four groups of six animals each, using a randomized block design (RBD). Kids of Group I (control) were fed a basal diet with 70R:30C without any tree leaf supplementation. Group II kids were fed with 60R:40C, where 10% of the concentrate mix was replaced with Moringa leaf (ML powder). In Group III, kids were fed with 70R:30C with 20% ML replacement. In Group IV, kids were fed with 80R:20C with 20% ML replacement. A metabolic trial was conducted after 180 days of feeding to assess the impact of ML on blood metabolites, antioxidant status, immunity parameters, and enteric methane emissions. The results revealed that dry matter digestibility, organic matter, and NDF were better (p < 0.05) in ML-treated kids (GII and GIII) compared to GI. Feed conversion and average daily gain were also enhanced (p < 0.05) in the treated groups as compared to controls. Total blood protein and albumin were increased in GII and GIII kids compared to GI. Plasma cholesterol levels were decreased (p < 0.001) in GII, GIII, and GIV as compared to GI. Glutathione peroxidase, catalase, and superoxide dismutase enzyme activities were also enhanced in GII, GIII, and GIV compared to controls. ML supplementation improved cell-mediated immunity and humoral immunity responses in goat kids. Enteric methane emissions decreased in the treated groups as compared to the controls. Moringa oleifera leaf may be used up to the level of 10−20% in concentrate mixes to improve digestibility, blood biochemical parameters, immunity status, and antioxidant activity in goat kids. Supplementation of ML not only enhanced the digestion and health of goat kids, but also decreased their methane emissions.
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Affiliation(s)
| | - Parul Chaudhary
- Animal Nutrition Division, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Sanjit Maiti
- Animal Nutrition Division, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Madhu Mohini
- Animal Nutrition Division, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Goutam Mondal
- Animal Nutrition Division, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
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Wang R, Bai Z, Chang J, Li Q, Hristov AN, Smith P, Yin Y, Tan Z, Wang M. China's low-emission pathways toward climate-neutral livestock production for animal-derived foods. Innovation (N Y) 2022; 3:100220. [PMID: 35295193 PMCID: PMC8919287 DOI: 10.1016/j.xinn.2022.100220] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 02/19/2022] [Indexed: 10/27/2022] Open
Abstract
Animal-derived food production accounts for one-third of global anthropogenic greenhouse gas (GHG) emissions. Diet followed in China is ranked as low-carbon emitting (i.e., 0.21 t CO2-eq per capita in 2018, ranking at 145th of 168 countries) due to the low average animal-derived food consumption rate, and preferential consumption of animal-derived foods with lower GHG emissions (i.e., pork and eggs versus beef and milk). However, the projected increase in GHG emissions from livestock production poses great challenges for achieving China's "carbon neutrality" pledge. We propose that the livestock sector in China may achieve "climate neutrality" with net-zero warming around 2050 by implementing healthy diet and mitigation strategies to control enteric methane emissions.
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Affiliation(s)
- Rong Wang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha 410125, China
| | - Zhaohai Bai
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
| | - Jinfeng Chang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qiushuang Li
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha 410125, China
| | - Alexander N. Hristov
- Department of Animal Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - Pete Smith
- Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
| | - Yulong Yin
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha 410125, China
| | - Zhiliang Tan
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha 410125, China
| | - Min Wang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha 410125, China
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Islam M, Kim SH, Son AR, Ramos SC, Jeong CD, Yu Z, Kang SH, Cho YI, Lee SS, Cho KK, Lee SS. Seasonal Influence on Rumen Microbiota, Rumen Fermentation, and Enteric Methane Emissions of Holstein and Jersey Steers under the Same Total Mixed Ration. Animals (Basel) 2021; 11:1184. [PMID: 33924248 PMCID: PMC8074768 DOI: 10.3390/ani11041184] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 01/16/2023] Open
Abstract
Seasonal effects on rumen microbiome and enteric methane (CH4) emissions are poorly documented. In this study, 6 Holstein and 6 Jersey steers were fed the same total mixed ration diet during winter, spring, and summer seasons under a 2 × 3 factorial arrangement for 30 days per season. The dry matter intake (DMI), rumen fermentation characteristics, enteric CH4 emissions and rumen microbiota were analyzed. Holstein had higher total DMI than Jersey steers regardless of season. However, Holstein steers had the lowest metabolic DMI during summer, while Jersey steers had the lowest total DMI during winter. Jersey steers had higher CH4 yields and intensities than Holstein steers regardless of season. The pH was decreased, while ammonia nitrogen concentration was increased in summer regardless of breed. Total volatile fatty acids concentration and propionate proportions were the highest in winter, while acetate and butyrate proportion were the highest in spring and in summer, respectively, regardless of breed. Moreover, Holstein steers produced a higher proportion of propionate, while Jersey steers produced a higher proportion of butyrate regardless of season. Metataxonomic analysis of rumen microbiota showed that operational taxonomic units and Chao 1 estimates were lower and highly unstable during summer, while winter had the lowest Shannon diversity. Beta diversity analysis suggested that the overall rumen microbiota was shifted according to seasonal changes in both breeds. In winter, the rumen microbiota was dominated by Carnobacterium jeotgali and Ruminococcus bromii, while in summer, Paludibacter propionicigenes was predominant. In Jersey steers, Capnocytophaga cynodegmi, Barnesiella viscericola and Flintibacter butyricus were predominant, whereas in Holstein steers, Succinivibrio dextrinosolvens and Gilliamella bombicola were predominant. Overall results suggest that seasonal changes alter rumen microbiota and fermentation characteristics of both breeds; however, CH4 emissions from steers were significantly influenced by breeds, not by seasons.
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Affiliation(s)
- Mahfuzul Islam
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
- Department of Microbiology and Parasitology, Sher-e-Bangla Agricultural University, Dhaka 1207, Bangladesh
| | - Seon-Ho Kim
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
| | - A-Rang Son
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
| | - Sonny C. Ramos
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
| | - Chang-Dae Jeong
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
| | - Zhongtang Yu
- Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA;
| | - Seung Ha Kang
- Faculty of Medicine, Diamantina Institute, The University of Queensland, Brisbane, QLD 4072, Australia;
| | - Yong-Il Cho
- Animal Disease and Diagnostic Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea;
| | - Sung-Sill Lee
- Institute of Agriculture and Life Science and University-Centered Labs, Gyeongsang National University, Jinju 52828, Korea;
| | - Kwang-Keun Cho
- Department of Animal Resources Technology, Gyeongnam National University of Science and Technology, Jinju 52725, Korea;
| | - Sang-Suk Lee
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea; (M.I.); (S.-H.K.); (A-R.S.); (S.C.R.); (C.-D.J.)
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Celis-Alvarez MD, López-González F, Arriaga-Jordán CM, Robles-Jiménez LE, González-Ronquillo M. Feeding Forage Mixtures of Ryegrass ( Lolium spp.) with Clover ( Trifolium spp.) Supplemented with Local Feed Diets to Reduce Enteric Methane Emission Efficiency in Small-Scale Dairy Systems: A Simulated Study. Animals (Basel) 2021; 11:ani11040946. [PMID: 33801732 PMCID: PMC8067253 DOI: 10.3390/ani11040946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The present study simulated the effects of different dairy cow diets based on local feeding strategies on enteric methane (CH4) emissions and surpluses of crude protein (CP) in small-scale dairy systems (SSDS). Our study evaluated five scenarios of supplementation (S): without supplementation (control diet), meaning no supplements were provided, only pasture (S1); pasture supplemented with 4.5 kg dry matter (DM)/cow/day of commercial concentrate (CC) (S2); supplemented with 200 g DM/kg per milk produced of CC (S3); supplemented with ground maize grains and wet distiller brewery grains (S4); and S4 plus maize silage (S5). In addition, two pasture managements (cut-and-carry versus grazing) and two varieties of legumes (red clover vs. white clover) were considered. The results suggest that methane emissions and large nitrogen surpluses in the diet are affected by the type of supplementation given to cows, in addition to the management and chemical composition of the pastures offered. In SSDS, it is possible to formulate diets with local inputs to reduce excess nutrients and dependence on external inputs, increasing feed efficiency and reducing costs (excess of CP in the diet) and CH4 emissions. Abstract In cattle, greenhouse gas (GHG) emissions and nutrient balance are influenced by factors such as diet composition, intake, and digestibility. This study evaluated CH4 emissions and surpluses of crude protein, using five simulated scenarios of supplementation in small-scale dairy systems (SSDS). In addition, two pasture managements (cut-and-carry versus grazing) and two varieties of legumes (red clover vs. white clover) were considered. The diets were tested considering similar milk yield and chemical composition; CH4 emission was estimated using Tier-2 methodology from the Intergovernmental Panel on Climate Change (IPCC), and the data were analyzed in a completely randomized 5 × 2 × 2 factorial design. Differences (p < 0.05) were found in predicted CH4 emissions per kg of milk produced (g kg−1 FCM 3.5%). The lowest predicted CH4 emissions were found for S3 and S4 as well as for pastures containing white clover. Lower dietary surpluses of CP (p < 0.05) were observed for the control diet (1320 g CP/d), followed by S5 (1793 g CP/d), compared with S2 (2175 g CP/d), as well as in cut-and-carry management with red clover. A significant correlation (p < 0.001) was observed between dry matter intake and CH4 emissions (g−1 and per kg of milk produced). It is concluded that the environmental impact of formulating diets from local inputs (S3 and S4) can be reduced by making them more efficient in terms of methane kg−1 of milk in SSDS.
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Affiliation(s)
- Maria Danaee Celis-Alvarez
- Instituto de Ciencias Agropecuarias y Rurales, Universidad Autónoma del Estado de México, No. 100 Instituto Literario, Toluca 50000, Estado de México, Mexico; (M.D.C.-A.); (C.M.A.-J.)
| | - Felipe López-González
- Instituto de Ciencias Agropecuarias y Rurales, Universidad Autónoma del Estado de México, No. 100 Instituto Literario, Toluca 50000, Estado de México, Mexico; (M.D.C.-A.); (C.M.A.-J.)
- Correspondence: (F.L.-G.); (M.G.-R.)
| | - Carlos Manuel Arriaga-Jordán
- Instituto de Ciencias Agropecuarias y Rurales, Universidad Autónoma del Estado de México, No. 100 Instituto Literario, Toluca 50000, Estado de México, Mexico; (M.D.C.-A.); (C.M.A.-J.)
| | - Lizbeth E. Robles-Jiménez
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma del Estado de México, No. 100 Instituto Literario 100, Col. Centro, Toluca 50000, Estado de México, Mexico;
| | - Manuel González-Ronquillo
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma del Estado de México, No. 100 Instituto Literario 100, Col. Centro, Toluca 50000, Estado de México, Mexico;
- Correspondence: (F.L.-G.); (M.G.-R.)
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Islam M, Kim SH, Ramos SC, Mamuad LL, Son AR, Yu Z, Lee SS, Cho YI, Lee SS. Holstein and Jersey Steers Differ in Rumen Microbiota and Enteric Methane Emissions Even Fed the Same Total Mixed Ration. Front Microbiol 2021; 12:601061. [PMID: 33868186 PMCID: PMC8044996 DOI: 10.3389/fmicb.2021.601061] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 02/15/2021] [Indexed: 12/17/2022] Open
Abstract
Previous studies have focused on the rumen microbiome and enteric methane (CH4) emissions in dairy cows, yet little is known about steers, especially steers of dairy breeds. In the present study, we comparatively examined the rumen microbiota, fermentation characteristics, and CH4 emissions from six non-cannulated Holstein (710.33 ± 43.02 kg) and six Jersey (559.67 ± 32.72 kg) steers. The steers were fed the same total mixed ration (TMR) for 30 days. After 25 days of adaptation to the diet, CH4 emissions were measured using GreenFeed for three consecutive days, and rumen fluid samples were collected on last day using stomach tubing before feeding (0 h) and 6 h after feeding. CH4 production (g/d/animal), CH4 yield (g/kg DMI), and CH4 intensity (g/kg BW0.75) were higher in the Jersey steers than in the Holstein steers. The lowest pH value was recorded at 6 h after feeding. The Jersey steers had lower rumen pH and a higher concentration of ammonia-nitrogen (NH3-N). The Jersey steers had a numerically higher molar proportion of acetate than the Holstein steers, but the opposite was true for that of propionate. Metataxonomic analysis of the rumen microbiota showed that the two breeds had similar species richness, Shannon, and inverse Simpson diversity indexes. Principal coordinates analysis showed that the overall rumen microbiota was different between the two breeds. Both breeds were dominated by Prevotella ruminicola, and its highest relative abundance was observed 6 h after feeding. The genera Ethanoligenens, Succinivibrio, and the species Ethanoligenens harbinense, Succinivibrio dextrinosolvens, Prevotella micans, Prevotella copri, Prevotella oris, Prevotella baroniae, and Treponema succinifaciens were more abundant in Holstein steers while the genera Capnocytophaga, Lachnoclostridium, Barnesiella, Oscillibacter, Galbibacter, and the species Capnocytophaga cynodegmi, Galbibacter mesophilus, Barnesiella intestinihominis, Prevotella shahii, and Oscillibacter ruminantium in the Jersey steers. The Jersey steers were dominated by Methanobrevibacter millerae while the Holstein steers by Methanobrevibacter olleyae. The overall results suggest that sampling hour has little influence on the rumen microbiota; however, breeds of steers can affect the assemblage of the rumen microbiota and different mitigation strategies may be needed to effectively manipulate the rumen microbiota and mitigate enteric CH4 emissions from these steers.
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Affiliation(s)
- Mahfuzul Islam
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea.,Department of Microbiology and Parasitology, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
| | - Seon-Ho Kim
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
| | - Sonny C Ramos
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
| | - Lovelia L Mamuad
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
| | - A-Rang Son
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
| | - Zhongtang Yu
- Department of Animal Sciences, The Ohio State University, Columbus, OH, United States
| | - Sung-Sil Lee
- Institute of Agriculture and Life Science and University-Centered Labs, Gyeongsang National University, Jinju, South Korea
| | - Yong-Il Cho
- Animal Disease and Diagnostic Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
| | - Sang-Suk Lee
- Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon, South Korea
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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, Yu Z. Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database. Glob Chang Biol 2018; 24:3368-3389. [PMID: 29450980 PMCID: PMC6055644 DOI: 10.1111/gcb.14094] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 12/15/2017] [Accepted: 01/29/2018] [Indexed: 05/13/2023]
Abstract
Enteric methane (CH4 ) production from cattle contributes to global greenhouse gas emissions. Measurement of enteric CH4 is complex, expensive, and impractical at large scales; therefore, models are commonly used to predict CH4 production. However, building robust prediction models requires extensive data from animals under different management systems worldwide. The objectives of this study were to (1) collate a global database of enteric CH4 production from individual lactating dairy cattle; (2) determine the availability of key variables for predicting enteric CH4 production (g/day per cow), yield [g/kg dry matter intake (DMI)], and intensity (g/kg energy corrected milk) and their respective relationships; (3) develop intercontinental and regional models and cross-validate their performance; and (4) assess the trade-off between availability of on-farm inputs and CH4 prediction accuracy. The intercontinental database covered Europe (EU), the United States (US), and Australia (AU). A sequential approach was taken by incrementally adding key variables to develop models with increasing complexity. Methane emissions were predicted by fitting linear mixed models. Within model categories, an intercontinental model with the most available independent variables performed best with root mean square prediction error (RMSPE) as a percentage of mean observed value of 16.6%, 14.7%, and 19.8% for intercontinental, EU, and United States regions, respectively. Less complex models requiring only DMI had predictive ability comparable to complex models. Enteric CH4 production, yield, and intensity prediction models developed on an intercontinental basis had similar performance across regions, however, intercepts and slopes were different with implications for prediction. Revised CH4 emission conversion factors for specific regions are required to improve CH4 production estimates in national inventories. In conclusion, information on DMI is required for good prediction, and other factors such as dietary neutral detergent fiber (NDF) concentration, improve the prediction. For enteric CH4 yield and intensity prediction, information on milk yield and composition is required for better estimation.
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Affiliation(s)
- Mutian Niu
- Department of Animal ScienceUniversity of CaliforniaDavisCAUSA
| | - Ermias Kebreab
- Department of Animal ScienceUniversity of CaliforniaDavisCAUSA
| | - Alexander N. Hristov
- Department of Animal ScienceThe Pennsylvania State UniversityUniversity ParkPAUSA
| | - Joonpyo Oh
- Department of Animal ScienceThe Pennsylvania State UniversityUniversity ParkPAUSA
| | | | - André Bannink
- Wageningen Livestock ResearchWageningen University & ResearchWageningenThe Netherlands
| | - Ali R. Bayat
- Milk Production Solutions, Green TechnologyNatural Resources Institute Finland (Luke)JokioinenFinland
| | - André F. Brito
- Department of Agriculture, Nutrition and Food SystemsUniversity of New HampshireDurhamNHUSA
| | - Tommy Boland
- School of Agriculture and Food ScienceUniversity College DublinBelfield, Dublin 4Ireland
| | | | - Les A. Crompton
- School of Agriculture, Policy and DevelopmentUniversity of ReadingReadingUK
| | - Jan Dijkstra
- Animal Nutrition GroupWageningen University & ResearchWageningenThe Netherlands
| | - Maguy A. Eugène
- UMR Herbivores, INRA, VetAgro Sup, Université Clermont AuvergneSaint‐Genès‐ChampanelleFrance
| | | | - Md Najmul Haque
- Department of Large Animal SciencesUniversity of CopenhagenCopenhagenDenmark
| | | | - Pekka Huhtanen
- Department of Agricultural Science for Northern SwedenSwedish University of Agricultural SciencesUmeåSweden
| | - Michael Kreuzer
- ETH ZurichInstitute of Agricultural SciencesZurichSwitzerland
| | - Bjoern Kuhla
- Institute of Nutritional PhysiologyLeibniz Institute for Farm Animal BiologyDummerstorfMecklenburg‐VorpommernGermany
| | - Peter Lund
- Department of Animal ScienceAarhus UniversityTjeleDenmark
| | - Jørgen Madsen
- Department of Large Animal SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Cécile Martin
- UMR Herbivores, INRA, VetAgro Sup, Université Clermont AuvergneSaint‐Genès‐ChampanelleFrance
| | | | - Mark McGee
- Teagasc, Agriculture and Food Development AuthorityCarlowIreland
| | - Peter J. Moate
- Agriculture Research DivisionDepartment of Economic Development, Jobs, Transport and ResourcesMelbourneVic.Australia
| | | | - Camila Muñoz
- Instituto de Investigaciones Agropecuarias, INIA RemehueOsornoChile
| | - Padraig O'Kiely
- Teagasc, Agriculture and Food Development AuthorityCarlowIreland
| | - Nico Peiren
- Animal Sciences DepartmentFlanders Research Institute for AgricultureFisheries and FoodMelleBelgium
| | | | - Angela Schwarm
- ETH ZurichInstitute of Agricultural SciencesZurichSwitzerland
| | - Kevin J. Shingfield
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Tonje M. Storlien
- Department of Animal and Aquacultural SciencesNorwegian University of Life SciencesÅsNorway
| | | | | | - Zhongtang Yu
- Department of Animal SciencesThe Ohio State UniversityColumbusOHUSA
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Zou CX, Lively FO, Wylie AR, Yan T. Estimation of the maintenance energy requirements, methane emissions and nitrogen utilization efficiency of two suckler cow genotypes. Animal 2016; 10:616-22. [PMID: 26593693 DOI: 10.1017/S1751731115002268] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Seventeen non-lactating dairy-bred suckler cows (LF; Limousin×Holstein-Friesian) and 17 non-lactating beef composite breed suckler cows (ST; Stabiliser) were used to study enteric methane emissions and energy and nitrogen (N) utilization from grass silage diets. Cows were housed in cubicle accommodation for 17 days, and then moved to individual tie-stalls for an 8-day digestibility balance including a 2-day adaption followed by immediate transfer to an indirect, open-circuit, respiration calorimeters for 3 days with gaseous exchange recorded over the last two of these days. Grass silage was offered ad libitum once daily at 0900 h throughout the study. There were no significant differences (P>0.05) between the genotypes for energy intakes, energy outputs or energy use efficiency, or for methane emission rates (methane emissions per unit of dry matter intake or energy intake), or for N metabolism characteristics (N intake or N output in faeces or urine). Accordingly, the data for both cow genotypes were pooled and used to develop relationships between inputs and outputs. Regression of energy retention against ME intake (r 2=0.52; P<0.001) indicated values for net energy requirements for maintenance of 0.386, 0.392 and 0.375 MJ/kg0.75 for LF+ST, LF and ST respectively. Methane energy output was 0.066 of gross energy intake when the intercept was omitted from the linear equation (r 2=0.59; P<0.001). There were positive linear relationships between N intake and N outputs in manure, and manure N accounted for 0.923 of the N intake. The present results provide approaches to predict maintenance energy requirement, methane emission and manure N output for suckler cows and further information is required to evaluate their application in a wide range of suckler production systems.
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Romero-Perez A, Okine EK, McGinn SM, Guan LL, Oba M, Duval SM, Kindermann M, Beauchemin KA. The potential of 3-nitrooxypropanol to lower enteric methane emissions from beef cattle. J Anim Sci 2014; 92:4682-93. [PMID: 25184838 DOI: 10.2527/jas.2014-7573] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
This study evaluated if 3-nitrooxypropanol reduces enteric methane (CH4) emissions when added to the diet of beef cattle. The effects of 3-nitrooxypropanol on related variables including diet digestibility, ruminal fermentation, and ruminal microorganisms were also investigated. Eight ruminally cannulated Angus heifers (549 ± 64.3 kg [mean BW ± SD]) were fed a high forage diet (backgrounding diet) supplemented with 4 levels of 3-nitrooxypropanol (0, 0.75, 2.25 and 4.50 mg/kg BW). The experiment was designed as a duplicated 4 × 4 Latin square with 2 groups of heifers and four 28-d periods. Methane emissions were measured during 3 consecutive days using metabolic chambers. Up to a 5.8% reduction in ad libitum DMI was observed when 2.5 mg/kg BW of 3-nitrooxypropanol was fed (P = 0.03). Increasing level of 3-nitrooxypropanol linearly (P < 0.001) reduced CH4, with 33% less CH4 (corrected for DMI) at the highest level of supplementation compared with the control. Feed energy lost as CH4 was also reduced when 3-nitrooxypropanol was supplemented (P < 0.001). Molar proportion of acetate was reduced (P < 0.001) and that for propionate increased (P < 0.001) with increasing dose of 3-nitrooxypropanol, which in turn led to a reduction in the acetate to propionate ratio (P < 0.001). Total copy numbers of 16S ribosomal RNA (rRNA) genes for bacteria, methanogens, and 18S rRNA genes for protozoa in ruminal contents were not affected by 3-nitrooxypropanol supplementation (P ≥ 0.31). There was no effect of 3-nitrooxypropanol on DM (P = 0.1) digestibility in the total tract. The use of 4.5 mg/kg BW of 3-nitrooxypropanol in beef cattle consuming a backgrounding diet was effective in reducing enteric CH4 emissions without negatively affecting diet digestibility.
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Affiliation(s)
- A Romero-Perez
- Lethbridge Research Center, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - E K Okine
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - S M McGinn
- Lethbridge Research Center, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada
| | - L L Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - M Oba
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - S M Duval
- DSM Nutritional Products France, Research Center for Animal Nutrition, BP170, 68305 Saint Louis Cedex, France
| | - M Kindermann
- DSM Nutritional Products France, Research Center for Animal Nutrition, BP170, 68305 Saint Louis Cedex, France
| | - K A Beauchemin
- Lethbridge Research Center, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada
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