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Pepeta BN, Hassen A, Tesfamariam EH. Quantifying the Impact of Different Dietary Rumen Modulating Strategies on Enteric Methane Emission and Productivity in Ruminant Livestock: A Meta-Analysis. Animals (Basel) 2024; 14:763. [PMID: 38473148 DOI: 10.3390/ani14050763] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
A meta-analysis was conducted with an aim to quantify the beneficial effects of nine different dietary rumen modulating strategies which includes: the use of plant-based bioactive compounds (saponin, tannins, oils, and ether extract), feed additives (nitrate, biochar, seaweed, and 3-nitroxy propanol), and diet manipulation (concentrate feeding) on rumen fermentation, enteric methane (CH4) production (g/day), CH4 yield (g/kg dry matter intake) and CH4 emission intensity (g/kg meat or milk), and production performance parameters (the average daily gain, milk yield and milk quality) of ruminant livestock. The dataset was constructed by compiling global data from 110 refereed publications on in vivo studies conducted in ruminants from 2005 to 2023 and anlayzed using a meta-analytical approach.. Of these dietary rumen manipulation strategies, saponin and biochar reduced CH4 production on average by 21%. Equally, CH4 yield was reduced by 15% on average in response to nitrate, oils, and 3-nitroxy propanol (3-NOP). In dairy ruminants, nitrate, oils, and 3-NOP reduced the intensity of CH4 emission (CH4 in g/kg milk) on average by 28.7%. Tannins and 3-NOP increased on average ruminal propionate and butyrate while reducing the acetate:propionate (A:P) ratio by 12%, 13.5% and 13%, respectively. Oils increased propionate by 2% while reducing butyrate and the A:P ratio by 2.9% and 3.8%, respectively. Use of 3-NOP increased the production of milk fat (g/kg DMI) by 15% whereas oils improved the yield of milk fat and protein (kg/d) by 16% and 20%, respectively. On the other hand, concentrate feeding improved dry matter intake and milk yield (g/kg DMI) by 23.4% and 19%, respectively. However, feed efficiency was not affected by any of the dietary rumen modulating strategies. Generally, the use of nitrate, saponin, oils, biochar and 3-NOP were effective as CH4 mitigating strategies, and specifically oils and 3-NOP provided a co-benefit of improving production parameters in ruminant livestock. Equally concentrate feeding improved production parameters in ruminant livestock without any significant effect on enteric methane emission. Therefore, it is advisable to refine further these strategies through life cycle assessment or modelling approaches to accurately capture their influence on farm-scale production, profitability and net greenhouse gas emissions. The adoption of the most viable, region-specific strategies should be based on factors such as the availability and cost of the strategy in the region, the specific goals to be achieved, and the cost-benefit ratio associated with implementing these strategies in ruminant livestock production systems.
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Affiliation(s)
- Bulelani N Pepeta
- Department of Animal Science, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa
| | - Abubeker Hassen
- Department of Animal Science, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa
| | - Eyob H Tesfamariam
- Department of Plant and Soil Science, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa
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Yu G, Beauchemin KA, Dong R. A Review of 3-Nitrooxypropanol for Enteric Methane Mitigation from Ruminant Livestock. Animals (Basel) 2021; 11:3540. [PMID: 34944313 PMCID: PMC8697901 DOI: 10.3390/ani11123540] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 11/22/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 11/16/2022] Open
Abstract
Methane (CH4) from enteric fermentation accounts for 3 to 5% of global anthropogenic greenhouse gas emissions, which contribute to climate change. Cost-effective strategies are needed to reduce feed energy losses as enteric CH4 while improving ruminant production efficiency. Mitigation strategies need to be environmentally friendly, easily adopted by producers and accepted by consumers. However, few sustainable CH4 mitigation approaches are available. Recent studies show that the chemically synthesized CH4 inhibitor 3-nitrooxypropanol is one of the most effective approaches for enteric CH4 abatement. 3-nitrooxypropanol specifically targets the methyl-coenzyme M reductase and inhibits the final catalytic step in methanogenesis in rumen archaea. Providing 3-nitrooxypropanol to dairy and beef cattle in research studies has consistently decreased enteric CH4 production by 30% on average, with reductions as high as 82% in some cases. Efficacy is positively related to 3-NOP dose and negatively affected by neutral detergent fiber concentration of the diet, with greater responses in dairy compared with beef cattle when compared at the same dose. This review collates the current literature on 3-nitrooxypropanol and examines the overall findings of meta-analyses and individual studies to provide a synthesis of science-based information on the use of 3-nitrooxypropanol for CH4 abatement. The intent is to help guide commercial adoption at the farm level in the future. There is a significant body of peer-reviewed scientific literature to indicate that 3-nitrooxypropanol is effective and safe when incorporated into total mixed rations, but further research is required to fully understand the long-term effects and the interactions with other CH4 mitigating compounds.
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Affiliation(s)
- Guanghui Yu
- College of Animal Science and Technology, Qingdao Agricultural University, No. 700 Changcheng Road, Chengyang District, Qingdao 266109, China;
| | - Karen A. Beauchemin
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada;
| | - Ruilan Dong
- College of Animal Science and Technology, Qingdao Agricultural University, No. 700 Changcheng Road, Chengyang District, Qingdao 266109, China;
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Rivero MJ, Evans ACO, Berndt A, Cartmill A, Dowsey A, Farruggia A, Mignolet C, Enriquez-Hidalgo D, Chadwick D, McCracken DI, Busch D, Pereyra F, Martin GB, Sanford GR, Sheridan H, Wright I, Brunet L, Eisler MC, Lopez-Villalobos N, Rovira P, Harris P, Murphy P, Williams AP, Jackson RD, Machado R, P T S, Puech T, Boland TM, Ayala W, Lee MRF. Taking the steps toward sustainable livestock: our multidisciplinary global farm platform journey. Anim Front 2021; 11:52-58. [PMID: 34676139 PMCID: PMC8527498 DOI: 10.1093/af/vfab048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- M Jordana Rivero
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, UK
| | - Alex C O Evans
- School of Agriculture & Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | | | - Andrew Cartmill
- School of Agriculture, University of Wisconsin-Platteville, Platteville, WI, USA
| | - Andrew Dowsey
- Bristol Veterinary School, University of Bristol, Langford, Somerset, UK
| | - Anne Farruggia
- INRAE-ACT UE 0057 DSLP, 17450 Saint Laurent de la Prée, France
| | | | - Daniel Enriquez-Hidalgo
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, UK.,Bristol Veterinary School, University of Bristol, Langford, Somerset, UK
| | - Dave Chadwick
- School of Natural Sciences, Bangor University, Bangor, UK
| | - Davy I McCracken
- Hill & Mountain Research Centre, SRUC: Scotland's Rural College, Kirkton Farm, Crianlarich, UK
| | - Dennis Busch
- School of Agriculture, University of Wisconsin-Platteville, Platteville, WI, USA
| | - Fabiana Pereyra
- Instituto Nacional de Investigación Agropecuaria (INIA), Treinta y Tres, Uruguay
| | - Graeme B Martin
- UWA Institute of Agriculture, The University of Western Australia, Crawley, Australia
| | - Gregg R Sanford
- *Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA
| | - Helen Sheridan
- School of Agriculture & Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Iain Wright
- International Livestock Research Institute (ILRI), Nairobi, Kenya
| | | | - Mark C Eisler
- Bristol Veterinary School, University of Bristol, Langford, Somerset, UK
| | | | - Pablo Rovira
- Instituto Nacional de Investigación Agropecuaria (INIA), Treinta y Tres, Uruguay
| | - Paul Harris
- Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, UK
| | - Paul Murphy
- School of Agriculture & Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | | | - Randall D Jackson
- *Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA
| | - Rui Machado
- Embrapa Southeast Livestock, São Carlos, São Paulo, Brazil
| | - Suraj P T
- Livestock Research Station Thiruvazamk unnu, Kerala Veterinary and Animal Sciences University, Kerala, India
| | | | - Tommy M Boland
- School of Agriculture & Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Walter Ayala
- Instituto Nacional de Investigación Agropecuaria (INIA), Treinta y Tres, Uruguay
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Huang Y, Li Y, Wang X, Yu J, Cai Y, Zheng Z, Li R, Zhang S, Chen N, Asadollahpour Nanaei H, Hanif Q, Chen Q, Fu W, Li C, Cao X, Zhou G, Liu S, He S, Li W, Chen Y, Chen H, Lei C, Liu M, Jiang Y. An atlas of CNV maps in cattle, goat and sheep. Sci China Life Sci 2021; 64:1747-1764. [PMID: 33486588 DOI: 10.1007/s11427-020-1850-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [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: 08/09/2020] [Accepted: 11/16/2020] [Indexed: 11/26/2022]
Abstract
Copy number variation (CNV) is the most prevalent type of genetic structural variation that has been recognized as an important source of phenotypic variation in humans, animals and plants. However, the mechanisms underlying the evolution of CNVs and their function in natural or artificial selection remain unknown. Here, we generated CNV region (CNVR) datasets which were diverged or shared among cattle, goat, and sheep, including 886 individuals from 171 diverse populations. Using 9 environmental factors for genome-wide association study (GWAS), we identified a series of candidate CNVRs, including genes relating to immunity, tick resistance, multi-drug resistance, and muscle development. The number of CNVRs shared between species is significantly higher than expected (P<0.00001), and these CNVRs may be more persist than the single nucleotide polymorphisms (SNPs) shared between species. We also identified genomic regions under long-term balancing selection and uncovered the potential diversity of the selected CNVRs close to the important functional genes. This study provides the evidence that balancing selection might be more common in mammals than previously considered, and might play an important role in the daily activities of these ruminant species.
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Affiliation(s)
- Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yunjia Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xihong Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jiantao Yu
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Yudong Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Zhuqing Zheng
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ran Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shunjin Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ningbo Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | | | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Punjab, 577, Pakistan
- Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, 45650, Islamabad, Pakistan
| | - Qiuming Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Weiwei Fu
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chao Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiukai Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Guangxian Zhou
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shudong Liu
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Sangang He
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Wenrong Li
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Yulin Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Mingjun Liu
- Key Laboratory of Genetics Breeding and Reproduction of Grass feeding Livestock, Ministry of Agriculture, Biotechnology Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, 830026, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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Abstract
The role of herbivorous livestock in supporting the sustainability of the farming systems in which they are found is complex and sometimes conflicting. In Sub-Saharan Africa (SSA), the integration of livestock into farming systems is important for sustainable agriculture as the recycling of nutrients for crop production through returns of animal manure is a central element of the dominant mixed crop-livestock systems. Sustainable agriculture has been widely advocated as the main practical pathway to address the challenge of meeting the food needs of the rapidly growing population in SSA while safeguarding the needs of future generations. The objective of this paper is to review the state of knowledge of the role of herbivores in sustainable intensification of key farming systems in SSA. The pathways to sustainable agriculture in SSA include intensification of production and livelihood diversification. Sustainable agricultural practices in SSA have focused on intensification practices which aim to increase the output : input ratio through increasing use of inputs, introduction of new inputs or use of existing inputs in a new way. Intensification of livestock production can occur through increased and improved fodder availability, genetic production gains, improved crop residue use and better nutrient recycling of manure. Livestock deliver many 'goods' in smallholder farming systems in SSA including improving food and nutrition security, increased recycling of organic matter and nutrients and the associated soil fertility amendments, adding value to crop residues by turning them into nutrient-rich foods, income generation and animal traction. Narratives on livestock 'bads' or negative environmental consequences have been largely shaped by the production conditions in the Global North but livestock production in SSA is a different story. In SSA, livestock are an integral component of mixed farming systems and they play key roles in supporting the livelihoods of much of the rural population. None-the-less, the environmental consequences of livestock production on the continent cannot be ignored. To enhance agricultural sustainability in SSA, the challenge is to optimize livestock's role in the farming systems by maximizing livestock 'goods' while minimizing the 'bads'. This can be through better integration of livestock into the farming systems, efficient nutrient management systems, and provision of necessary policy and institutional support.
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