IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7410-d587217.html
   My bibliography  Save this article

Effects of Dietary Tannins’ Supplementation on Growth Performance, Rumen Fermentation, and Enteric Methane Emissions in Beef Cattle: A Meta-Analysis

Author

Listed:
  • José Felipe Orzuna-Orzuna

    (Departamento de Zootecnia, Universidad Autónoma Chapingo, Chapingo 56230, Mexico)

  • Griselda Dorantes-Iturbide

    (Departamento de Zootecnia, Universidad Autónoma Chapingo, Chapingo 56230, Mexico)

  • Alejandro Lara-Bueno

    (Departamento de Zootecnia, Universidad Autónoma Chapingo, Chapingo 56230, Mexico)

  • Germán David Mendoza-Martínez

    (Departamento de Producción Agrícola y Animal, Unidad Xochimilco, Universidad Autónoma Metropolitana, Mexico City 04960, Mexico)

  • Luis Alberto Miranda-Romero

    (Departamento de Zootecnia, Universidad Autónoma Chapingo, Chapingo 56230, Mexico)

  • Pedro Abel Hernández-García

    (Centro Universitario UAEM Amecameca, Universidad Autónoma del Estado de Mexico, Amecameca 56900, Mexico)

Abstract

The environmental sustainability of beef production is a significant concern within the food production system. Tannins (TANs) can be used to minimize the environmental impact of ruminant production because they can improve ruminal fermentation and ruminants’ lifetime performances and mitigate methane (CH 4 ) emissions. The objective of this study was to evaluate the effects of dietary supplementation with TANs as sustainable natural alternative to reduce the environmental impact on growth performance, rumen fermentation, enteric CH 4 emissions, and nitrogen (N) use efficiency of beef cattle through a meta-analysis. A comprehensive search of studies published in scientific journals that investigated the effects of TANs’ supplementation on the variables of interest was performed using the Scopus, Web of Science, and PubMed databases. The data analyzed were extracted from 32 peer-reviewed publications. The effects of TANs were assessed using random-effects statistical models to examine the standardized mean difference (SMD) between TANs’ treatments and control (non-TANs). The heterogeneity was explored by meta-regression and subgroup analysis was performed for the covariates that were significant. TANs’ supplementation did not affect weight gain, feed consumption, feed efficiency, or N use efficiency ( p > 0.05). However, it reduced the concentration of ammonia nitrogen in rumen (SMD = −0.508, p < 0.001), CH 4 emissions per day (SMD = −0.474, p < 0.01) and per unit dry matter intake (SMD = −0.408, p < 0.01), urinary N excretion (SMD = −0.338, p < 0.05), and dry matter digestibility (SMD = −0.589, p < 0.001). Ruminal propionate (SMD = 0.250) and butyrate (SMD = 0.198) concentrations and fecal N excretion (SMD = 0.860) improved in response to TANs’ supplementation ( p < 0.05). In conclusion, it is possible to use TANs as a CH 4 mitigation strategy without affecting cattle growth rate. In addition, the shift from urinary to fecal N may be beneficial for environment preservation, as urinary N induces more harmful emissions than fecal N. Therefore, the addition of tannins in the diet of beef cattle could be used as a sustainable natural alternative to reduce the environmental impact of beef production.

Suggested Citation

  • José Felipe Orzuna-Orzuna & Griselda Dorantes-Iturbide & Alejandro Lara-Bueno & Germán David Mendoza-Martínez & Luis Alberto Miranda-Romero & Pedro Abel Hernández-García, 2021. "Effects of Dietary Tannins’ Supplementation on Growth Performance, Rumen Fermentation, and Enteric Methane Emissions in Beef Cattle: A Meta-Analysis," Sustainability, MDPI, vol. 13(13), pages 1-27, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7410-:d:587217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7410/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/13/7410/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ian J Lean & John M Thompson & Frank R Dunshea, 2014. "A Meta-Analysis of Zilpaterol and Ractopamine Effects on Feedlot Performance, Carcass Traits and Shear Strength of Meat in Cattle," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-28, December.
    2. Jonathan A.C. Sterne & Roger M. Harbord, 2004. "Funnel plots in meta-analysis," Stata Journal, StataCorp LP, vol. 4(2), pages 127-141, June.
    3. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    4. Capper, Judith L. & Hayes, Dermot J., 2012. "The environmental and economic impact of removing growth-enhancing technologies from U.S. beef production," ISU General Staff Papers 201210010700001001, Iowa State University, Department of Economics.
    5. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    6. José Danrley Cavalcante dos Santos & Edilson Paes Saraiva & Severino Gonzaga Neto & Carla Aparecida Soares Saraiva & Antônio da Costa Pinheiro & Vinícius de França Carvalho Fonsêca & Severino Guilherm, 2021. "Feeding Behavior of Lactating Dairy Cattle Fed Sorghum-Based Diets and Increasing Levels of Tannic Acid," Agriculture, MDPI, vol. 11(2), pages 1-12, February.
    7. Supriya Verma & Friedhelm Taube & Carsten S. Malisch, 2021. "Examining the Variables Leading to Apparent Incongruity between Antimethanogenic Potential of Tannins and Their Observed Effects in Ruminants—A Review," Sustainability, MDPI, vol. 13(5), pages 1-23, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Natalia Vilas Boas Fonseca & Abmael da Silva Cardoso & Angélica Santos Rabelo de Souza Bahia & Juliana Duarte Messana & Eduardo Festozo Vicente & Ricardo Andrade Reis, 2023. "Additive Tannins in Ruminant Nutrition: An Alternative to Achieve Sustainability in Animal Production," Sustainability, MDPI, vol. 15(5), pages 1-11, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Isaac A. Aboagye & Marcos R. C. Cordeiro & Tim A. McAllister & Kim H. Ominski, 2021. "Productivity-Enhancing Technologies. Can Consumer Choices Affect the Environmental Footprint of Beef?," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Whitney S Beck & Ed K Hall, 2018. "Confounding factors in algal phosphorus limitation experiments," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    3. Michael J. Crowther & Dean Langan & Alex J. Sutton, 2012. "Graphical augmentations to the funnel plot to assess the impact of a new study on an existing meta-analysis," Stata Journal, StataCorp LP, vol. 12(4), pages 605-622, December.
    4. Xindong Xue & W. Robert Reed & Robbie C.M. van Aert, 2022. "Social Capital and Economic Growth: A Meta-Analysis," Working Papers in Economics 22/20, University of Canterbury, Department of Economics and Finance.
    5. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    6. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    7. repec:cup:judgdm:v:15:y:2020:i:6:p:972-988 is not listed on IDEAS
    8. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    9. Mario Herberz & Tobias Brosch & Ulf J. J. Hahnel, 2020. "Kilo what? Default units increase value sensitivity in joint evaluations of energy efficiency," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 972-988, November.
    10. Solomiia Brychka & Denys Klynovskyi & Dmytro Krukovets & Artem Oharkov, 2019. "Meta-Analysis: Meta-Analysis: Effect of FX interventions on the exchange rate," Modern Economic Studies, Kyiv School of Economics, vol. 2(1), pages 24-44.
    11. Piers Steel & Sjoerd Beugelsdijk & Herman Aguinis, 2021. "The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 23-44, February.
    12. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    13. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    14. Amal F. Alshammary & Khalid Khalaf Alharbi & Naif Jameel Alshehri & Vishal Vennu & Imran Ali Khan, 2021. "Metabolic Syndrome and Coronary Artery Disease Risk: A Meta-Analysis of Observational Studies," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    15. Geller, Susann & Wilhelm, Oliver & Wacker, Jan & Hamm, Alfons & Hildebrandt, Andrea, 2017. "Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 75-92.
    16. Gignac, Gilles E. & Bates, Timothy C., 2017. "Brain volume and intelligence: The moderating role of intelligence measurement quality," Intelligence, Elsevier, vol. 64(C), pages 18-29.
    17. Stephan Kambach & Ingolf Kühn & Bastien Castagneyrol & Helge Bruelheide, 2016. "The Impact of Tree Diversity on Different Aspects of Insect Herbivory along a Global Temperature Gradient - A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    18. Julian Packheiser & Helena Hartmann & Kelly Fredriksen & Valeria Gazzola & Christian Keysers & Frédéric Michon, 2024. "A systematic review and multivariate meta-analysis of the physical and mental health benefits of touch interventions," Nature Human Behaviour, Nature, vol. 8(6), pages 1088-1107, June.
    19. Nan Wang & Yuxiang Luan & Rui Ma, 2024. "Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    20. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    21. Senlin Zhou & Yunpeng Wu & Xizheng Xu, 2023. "Linking Cognitive Reappraisal and Expressive Suppression to Mindfulness: A Three-Level Meta-Analysis," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
    22. Mahesh Shumsher Rughooputh & Rui Zeng & Ying Yao, 2015. "Protein Diet Restriction Slows Chronic Kidney Disease Progression in Non-Diabetic and in Type 1 Diabetic Patients, but Not in Type 2 Diabetic Patients: A Meta-Analysis of Randomized Controlled Trials ," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7410-:d:587217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.