Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: A meta-analysis

Guilhermo F. de Souza Congio*, André Bannink, Olga Lucía Mayorga Mogollón, Gustavo Jaurena, Horacio Gonda, José Ignacio Gere, María Esperanza Cerón-Cucchi, Abimael Ortiz-Chura, María Paz Tieri, Olegario Hernández, Patricia Ricci, María Paula Juliarena, Banira Lombardi, Adibe Luiz Abdalla, Adibe Luiz Abdalla-Filho, Alexandre Berndt, Patrícia Perondi Anchão Oliveira, Fábio Luis Henrique, Alda Lúcia Gomes Monteiro, Luiza Ilha BorgesHenrique M.N. Ribeiro-Filho, Luiz Gustavo Ribeiro Pereira, Thierry Ribeiro Tomich, Mariana Magalhães Campos, Fernanda Samarini Machado, Marcos Inácio Marcondes, Maria Eugênia Zerlotti Mercadante, Leandro Sannomiya Sakamoto, Lucia Galvão Albuquerque, Paulo César de Faccio Carvalho, Jusiane Rossetto, Jean Víctor Savian, Paulo Henrique Mazza Rodrigues, Flávio Perna Júnior, Tainá Silvestre Moreira, Rogério Martins Maurício, João Paulo Pacheco Rodrigues, Ana Luiza da Costa Cruz Borges, Ricardo Reis e Silva, Helena Ferreira Lage, Ricardo Andrade Reis, Ana Cláudia Ruggieri, Abmael da Silva Cardoso, Sila Carneiro da Silva, Marília Barbosa Chiavegato, Sebastião de Campos Valadares-Filho, Flávia Adriane de Sales Silva, Diego Zanetti, Telma Teresinha Berchielli, Juliana Duarte Messana, Alexander N. Hristov*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Latin America and Caribbean (LAC) is a developing region characterized for its importance for global food security, producing 23 and 11% of the global beef and milk production, respectively. The region's ruminant livestock sector however, is under scrutiny on environmental grounds due to its large contribution to enteric methane (CH4) emissions and influence on global climate change. Thus, the identification of effective CH4 mitigation strategies which do not compromise animal performance is urgently needed, especially in context of the Sustainable Development Goals (SDG) defined in the Paris Agreement of the United Nations. Therefore, the objectives of the current study were to: 1) collate a database of individual sheep, beef and dairy cattle records from enteric CH4 emission studies conducted in the LAC region, and 2) perform a meta-analysis to identify feasible enteric CH4 mitigation strategies, which do not compromise animal performance. After outlier's removal, 2745 animal records (65% of the original data) from 103 studies were retained (from 2011 to 2021) in the LAC database. Potential mitigation strategies were classified into three main categories (i.e., animal breeding, dietary, and rumen manipulation) and up to three subcategories, totaling 34 evaluated strategies. A random effects model weighted by inverse variance was used (Comprehensive Meta-Analysis V3.3.070). Six strategies decreased at least one enteric CH4 metric and simultaneously increased milk yield (MY; dairy cattle) or average daily gain (ADG; beef cattle and sheep). The breed composition F1 Holstein × Gyr decreased CH4 emission per MY (CH4IMilk) while increasing MY by 99%. Adequate strategies of grazing management under continuous and rotational stocking decreased CH4 emission per ADG (CH4IGain) by 22 and 35%, while increasing ADG by 22 and 71%, respectively. Increased dietary protein concentration, and increased concentrate level through cottonseed meal inclusion, decreased CH4IMilk and CH4IGain by 10 and 20% and increased MY and ADG by 12 and 31%, respectively. Lastly, increased feeding level decreased CH4IGain by 37%, while increasing ADG by 171%. The identified effective mitigation strategies can be adopted by livestock producers according to their specific needs and aid LAC countries in achieving SDG as defined in the Paris Agreement.

Original languageEnglish
Article number127693
JournalJournal of Cleaner Production
Volume312
DOIs
Publication statusPublished - 20 Aug 2021

Keywords

  • Cattle
  • Enteric methane
  • Global warming
  • Greenhouse gas emissions
  • Mitigation
  • Sheep

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