Climate-smart approaches for enhancing livestock productivity, human nutrition, and livelihoods in low- and middle-income countries

Adegbola T. Adesogan; Mulubrhan Balehegn Gebremikael; Padmakumar Varijakshapanicker; Diwakar Vyas

doi:10.1071/AN24215

PERSPECTIVES ON ANIMAL BIOSCIENCES (Open Access)

Climate-smart approaches for enhancing livestock productivity, human nutrition, and livelihoods in low- and middle-income countries

Adegbola T. Adesogan ^A ^B ^* , Mulubrhan Balehegn Gebremikael ^C , Padmakumar Varijakshapanicker ^B ^D and Diwakar Vyas

^A

+ Author Affiliations

- Author Affiliations

^A Department of Animal Sciences and Global Food Systems Institute, University of Florida, Gainesville, FL, USA.

^B Feed the Future Innovation Lab for Livestock Systems, University of Florida, Gainesville, FL, USA.

^C World Resources Institute, Washington, DC, USA.

^D International Livestock Research Institute, Kathmandu, Nepal.

^* Correspondence to: adesogan@ufl.edu

Handling Editor: Wayne Bryden

Animal Production Science 65, AN24215 https://doi.org/10.1071/AN24215

Submitted: 6 July 2024 Accepted: 21 February 2025 Published: 14 April 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

In low- and middle-income countries (LMIC), particularly in South Asia and sub-Saharan Africa, livestock production is dominated by smallholder production systems characterized by low productivity and high greenhouse gas (GHG) emissions intensity coupled with high vulnerability to climate change-related natural disasters.  Yet, these countries lead the world in the future demand for livestock products.  For instance, the projected growth in protein demand for red meat between 2020 and 2050 is greatest in south Asia (49%) and sub-Saharan Africa (55%) relative to global estimates (14%). Most LMIC aim to meet the increasing demand for meat and milk by increasing livestock numbers, which perpetuates the high GHG emissions intensity in these countries.  Rather, emphasis should be on increasing productivity per animal through increased adoption of climate-smart interventions that sustainably increase productivity, efficiency and resilience. Such interventions must go beyond the current focus on reducing enteric methane emissions from intensive livestock production systems to include interventions that also improve adaptation to climate change, and that are appropriate for extensive smallholder livestock systems. Thus, additional factors such as affordability and socio-cultural appropriateness are particularly important determinants of adoption. We recommend the use of a systems lens to examine existing GHG mitigation strategies in terms of their efficacy as well as their support for adaptation to climate change, socio-cultural acceptability, and promotion of livestock’s contribution to food and nutritional security and livelihoods. Policy changes necessary to foster adoption of such climate-smart livestock production interventions in LMIC are discussed.

Keywords: adaptation, climate, food security, greenhouse gas, livestock, low- and middle-income countries, mitigation, smallholders.

References

AGRA (2024) Food security monitor. Ed. 46. Alliance for a Green Revolution in Africa. Available at https://agra.org/wp-content/uploads/2024/05/Food-Security-Monitor_APRIL-ISSUE_Final.pdf

Almeida AK, Hegarty RS, Cowie A (2021) Meta-analysis quantifying the potential of dietary additives and rumen modifiers for methane mitigation in ruminant production systems. Animal Nutrition 7, 1219-1230.
| Crossref | Google Scholar | PubMed |

Amuge ML, Osewe DO (2017) Socio-economic factors influencing adoption of feed based dairy technologies among smallholder farmers in ekerenyo sub-county, Kenya. Asian Journal of Agricultural Extension, Economics & Sociology 16(2), 1-8.
| Crossref | Google Scholar |

Anandan S, Khan AA, Ravi D, Sai Bucha Rao M, Ramana Reddy Y, Blümmel M (2013) Identification of a superior dual purpose maize hybrid among widely grown hybrids in South Asia and value addition to its stover through feed supplementation and feed processing. Field Crops Research 153, 52-57.
| Crossref | Google Scholar |

Arndt C, Hristov AN, Price WJ, McClelland SC, Pelaez AM, Cueva SF, Oh J, Dijkstra J, Bannink A, Bayat AR, Crompton LA, Eugène MA, Enahoro D, Kebreab E, Kreuzer M, McGee M, Martin C, Newbold CJ, Reynolds CK, Schwarm A, Shingfield KJ, Veneman JB, Yáñez-Ruiz DR, Yu Z (2022) Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5°C target by 2030 but not 2050. Proceedings of the National Academy of Sciences of the United States of America 119(20), e2111294119.
| Crossref | Google Scholar |

Ayalew W, King JM, Bruns E, Rischkowsky B (2003) Economic evaluation of smallholder subsistence livestock production: lessons from an Ethiopian goat development program. Ecological Economics 45, 473-485.
| Crossref | Google Scholar |

Balehegn M, Duncan A, Tolera A, Ayantunde AA, Issa S, Karimou M, Zampaligré N, André K, Gnanda I, Varijakshapanicker P, Kebreab E, Dubeux J, Boote K, Minta M, Feyissa F, Adesogan AT (2020) Improving adoption of technologies and interventions for increasing supply of quality livestock feed in low- and middle-income countries. Global Food Security 26, 100372.
| Crossref | Google Scholar | PubMed |

Baltenweck I, Cherney D, Duncan A, et al. (2020) A scoping review of feed interventions and livelihoods of small-scale livestock keepers. Nature Plants 6, 1242-1249.
| Crossref | Google Scholar |

Baruselli PS, Sales JNS, Sala RV, Vieira LM, Sá Filho MF (2018) History, evolution and perspectives of timed artificial insemination programs in Brazil. Animal Reproduction 9(3), 139-152.
| Google Scholar |

Baruselli PS, Catussi BLC, de Abreu LA, Elliff FM, da Silva LG, Batista EOS (2019) Challenges to increase the AI and ET markets in Brazil. Animal Reproduction 16(3), 364-375.
| Crossref | Google Scholar | PubMed |

Beauchemin KA, McGinn SM (2005) Methane emissions from feedlot cattle fed barley or corn diets. Journal of Animal Science 83, 653-661.
| Crossref | Google Scholar | PubMed |

Beauchemin KA, Kreuzer M, O’Mara F, McAllister TA (2008) Nutritional management for enteric methane abatement: a review. Australian Journal of Experimental Agriculture 48, 21-27.
| Crossref | Google Scholar |

Beauchemin KA, Ungerfeld EM, Eckard RJ, Wang M (2020) Review: Fifty years of research on rumen methanogenesis: lessons learned and future challenges for mitigation. Animal 14, s2-s16.
| Crossref | Google Scholar | PubMed |

Beauchemin KA, Ungerfeld EM, Abdalla AL, Alvarez C, Arndt C, Becquet P, Benchaar C, Berndt A, Maurício RM, McAllister TA, Oyhantçabal W, Salami SA, Shalloo L, Sun Y, Tricarico JM, Uwizeye A, De Camillis C, Bernoux M, Robinson T, Kebreab E (2022) Invited review: current enteric methane mitigation options. Journal of Dairy Science 105, 9297-9326.
| Crossref | Google Scholar | PubMed |

Bekele W, Goshu G, Tamir B, Demissie T, Sahle Z (2019) Characterization of dairy production constraints, existing feeding practices and mineral supplementation in dairy feeds in two districts of East Shoa Zone, Ethiopia. Advances in Dairy Research 7(219), 2.
| Crossref | Google Scholar |

Blaxter KL, Clapperton JL (1965) Prediction of the amount of methane produced by ruminants. British Journal of Nutrition 19, 511-522.
| Crossref | Google Scholar | PubMed |

Blümmel M, Rao PP (2006) Economic value of sorghum stover traded as fodder for urban and peri-urban dairy production in Hyderabad, India. International Sorghum and Millets Newsletter 47, 97-100.
| Google Scholar |

Blümmel M, Sudhakar DS, Teymouri F, Gupta SK, Sharma GVM, Ravindranath K (2019) Spin-off technologies from 2nd generation biofuel: potential to transform fodder quality of crop residues. In ‘27 Annual Conference of the Ethiopian Society of Animal Production (ESAP)’, 29–31 August 2019, Addis Ababa, Ethiopia. (EIAR: Addis Ababa, Ethiopia)

Bryan E, Deressa TT, Gbetibouo GA, Ringler C (2009) Adaptation to climate change in Ethiopia and South Africa: options and constraints. Environmental Science & Policy 12, 413-426.
| Crossref | Google Scholar |

Burns BM, Reid DJ, Taylor JF (1997) An evaluation of growth and adaptive traits of different cattle genotypes in a subtropical environment. Australian Journal of Experimental Agriculture 37, 399-933.
| Crossref | Google Scholar |

Buto O, Galbiati GM, Alekseeva N, Bernoux M (2021) ‘Climate finance in the agriculture and land use sector – global and regional trends between 2000 and 2018.’ (FAO) 10.4060/cb6056en

Camara Y, Moula N, Sow F, Sissokho MM, Antoine-Moussiaux N (2019) Analysing innovations among cattle smallholders to evaluate the adequacy of breeding programs. Animal 13(2), 417-426.
| Crossref | Google Scholar | PubMed |

Casler M, Jung H-J (2006) Relationships of fibre, lignin, and phenolics to in vitro fibre digestibility in three perennial grasses. Animal Feed Science and Technology 125, 151-161.
| Crossref | Google Scholar |

Chander M (2010) Urea treatment of straw: hugely extolled rarely used. In ‘Successes and failures with animal nutrition practices and technologies in developing countries’, FAO Electronic Conference, 1–30 september 2010, Rome, Italy. (Ed. HPS Makkar) pp. 15–20. FAO Animal Production and Health, No. 11. (FAO: Rome, Italy)

Chen W, Huang D, Liu N, et al. (2015) Improved grazing management may increase soil carbon sequestration in temperate steppe. Scientific Reports 5, 10892.
| Crossref | Google Scholar | PubMed |

Costanza R, Daly HE (1992) Natural capital and sustainable development. Conservation Biology 6, 37-46.
| Crossref | Google Scholar |

Dillon JA, Stackhouse-Lawson KR, Thoma GJ, Gunter SA, Rotz CA, Kebreab E, Riley DG, Tedeschi LO, Villalba J, Mitloehner F, Hristov AN, Archibeque SL, Ritten JP, Mueller ND (2021) Current state of enteric methane and the carbon footprint of beef and dairy cattle in the United States. Animal Frontiers 11, 57-68.
| Crossref | Google Scholar | PubMed |

Donadeu M, Nwankpa N, Abela-Ridder B, Dungu B (2019) Strategies to increase adoption of animal vaccines by smallholder farmers with focus on neglected diseases and marginalized populations. PLOS Neglected Tropical Diseases 13(2), e0006989.
| Crossref | Google Scholar | PubMed |

Dong H, Tao X, Xin H, He Q (2004) Comparison of enteric methane emissions in China for different IPCC estimation methods and production schemes. Transactions of the ASAE 47, 2051-2057.
| Crossref | Google Scholar |

Durrance-Bagale A, Marzouk M, Ananthakrishnan A, Nagashima-Hayashi M, Lam ST, Sittimart M, et al. (2022) ‘Science is only half of it’: Expert perspectives on operationalising infectious disease control cooperation in the ASEAN region. PLOS Global Public Health 2(5), e0000424.
| Crossref | Google Scholar | PubMed |

Elbehri A, Challinor A, Verchot L, Angelsen A, Hess T, Ouled Belgacem A, Clark H, Badraoui M, Cowie A, De Silva S, Erickson J, Joar Hegland S, Iglesias A, Inouye D, Jarvis A, Mansur E, Mirzabaev A, Montanarella L, Murdiyarso D, Notenbaert A, Obersteiner M, Paustian K, Pennock D, Reisinger A, Soto D, Soussana J-F, Thomas R, Vargas R, Van Wijk M, Walker R (2017) FAO–IPCC Expert Meeting on Climate Change, Land Use and Food Security: Final Meeting Report; 23–25 January 2017 FAO HQ Rome. FAO and IPCC.

Eun J-S, Fellner V, Gumpertz ML (2004) Methane production by mixed ruminal cultures incubated in dual-flow fermentors. Journal of Dairy Science 87, 112-121.
| Crossref | Google Scholar | PubMed |

FAO (2011) ‘World Livestock 2011 – Livestock in food security.’ (Food and Agriculture Organization of the United Nations: Rome, Italy)

FAO (2013) ‘Climate-smart agriculture sourcebook.’ (Food and Agriculture Organization of the United Nations: Rome, Italy)

FAO (2014) ‘World mapping of animal feeding systems in the dairy sector.’ (Food and Agriculture Organization of the United Nations). Available at http://www.fao.org/3/a-i3913e.pdf

FAO (2018) ‘World livestock: transforming the livestock sector through the sustainable development goals.’ (Food and Agriculture Organization of the United Nations: Rome, Italy) 10.4060/ca1201en

FAO (2022) Methane Emissions in Livestock and Rice Systems – Sources, quantification, mitigation and metrics (Draft for public review). Livestock Environmental Assessment and Performance (LEAP) Partnership. Food and Agriculture Organization of the United Nations, Rome, Italy.

FAO (2023a) ‘The status of women in agrifood systems.’ (Food and Agriculture Organization of the United Nations: Rome, Italy) 10.4060/cc5343en

FAO (2023b) ‘Pathways towards lower emissions – A global assessment of the greenhouse gas emissions and mitigation options from livestock agrifood systems.’ (Food and Agriculture Organization of the United Nations: Rome, Italy) 10.4060/cc9029en

Ferket PR, van Heugten E, van Kempen TATG, Angel R (2002) Nutritional strategies to reduce environmental emissions from nonruminants. Journal of Animal Science 80(E-suppl_2), E168-E182.
| Crossref | Google Scholar |

Follett RF, Reed DA (2010) Soil carbon sequestration in grazing lands: societal benefits and policy implications. Rangeland Ecology & Management 63, 4-15.
| Crossref | Google Scholar |

Frey GE, Fassola HE, Pachas AN, Colcombet L, Lacorte SM, Pérez O, Renkow M, Warren ST, Cubbage FW (2012) Perceptions of silvopasture systems among adopters in northeast Argentina. Agricultural Systems 105(1), 21-32.
| Crossref | Google Scholar |

García de Jalón S, Silvestri S, Granados A, et al. (2015) Behavioural barriers in response to climate change in agricultural communities: an example from Kenya. Regional Environmental Change 15, 851-865.
| Crossref | Google Scholar |

García de Jalón S, Silvestri S, Barnes AP (2017) The potential for adoption of climate smart agricultural practices in Sub-Saharan livestock systems. Regional Environmental Change 17, 399-410.
| Crossref | Google Scholar |

Garg MR, Kannan A, Phondba BT, Shelke SK, Sherasia PL (2012) A study on the effect of ration balancing for improving milk production and reducing methane emission in lactating buffaloes under field conditions. Indian Journal of Dairy Science 65(3), 250-255.
| Google Scholar |

Garg MR, Sherasia PL, Phondba BT, Shelke SK, Patel CT (2013) Effect of feeding balanced ration on milk production, enteric methane emission and metabolic profile in crossbred cows under field conditions. Indian Journal of Dairy Science 66(2), 113-119.
| Google Scholar |

GBD 2021 Anaemia Collaborators (2023) Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021. The Lancet Haematology 10(9), e713-e734.
| Crossref | Google Scholar |

Gerber PJ, Steinfeld H, Henderson B, Mottet A, Opio C, Dijkman J, Falcucci A, Tempio G (2013) Tackling climate change through livestock – A global assessment of emissions and mitigation opportunities. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.

Giger-Reverdin S, Sauvant D (2000) Methane production in sheep in relation to concentrate feed composition from bibliographic data. In ‘Sheep and goat nutrition: intake, digestion, quality of products and rangelands’. (Eds I Ledin, P Morand-Fehr) pp. 43–46.

Godde CM, Mason-D’Croz D, Mayberry DE, Thornton PK, Herrero M (2021) Impacts of climate change on the livestock food supply chain; a review of the evidence. Global Food Security 28, 100488.
| Crossref | Google Scholar |

Goodwin NR (2003) Five kinds of capital: Useful concepts for sustainable development. G-DAE Working Paper No. 03-07. Tufts University.

Gray GD, Connell JG, Phimphachanhvongsod V (2012) Worms in smallholder livestock systems: technologies and practices that make a difference. Veterinary Parasitology 186(1–2), 124-131.
| Crossref | Google Scholar | PubMed |

Haile A, Gizaw S, Getachew T, Mueller JP, Amer P, Rekik M, Mwai O (2019) Community-based breeding programmes are a viable solution for Ethiopian small ruminant genetic improvement but require public and private investments. Frontiers in Genetics 10, 1145.
| Crossref | Google Scholar |

Haile A, Getachew T, Rekik M, Abebe A, Abate Z, Jimma A, Mwacharo JM, Mueller J, Belay B, Solomon D, Hyera E, Nguluma AS, Gondwe T, Rischkowsky B (2023) How to succeed in implementing community-based breeding programs: lessons from the field in eastern and southern Africa. Frontiers in Genetics 14, 1119024.
| Crossref | Google Scholar | PubMed |

Hamid P, Akbar T, Hossein J, Ali MG (2007) Nutrient digestibility and gas production of some tropical feeds used in ruminant diets estimated by the in vivo and in vitro gas production techniques. American Journal of Animal and Veterinary Sciences 2(4), 108-113.
| Crossref | Google Scholar |

Harrison MT, Cullen BR, Mayberry DE, Cowie AL, Bilotto F, Badgery WB, Liu K, Davison T, Christie KM, Muleke A, Eckard RJ (2021) Carbon myopia: the urgent need for integrated social, economic, and environmental action in the livestock sector. Global Change Biology 27(22), 5726-5761.
| Crossref | Google Scholar | PubMed |

Hart EH, Christofides SR, Davies TE, Rees Stevens P, Creevey CJ, Müller CT, Rogers HJ, Kingston-Smith AH (2022) Forage grass growth under future climate change scenarios affects fermentation and ruminant efficiency. Scientific Reports 12, 4454.
| Crossref | Google Scholar | PubMed |

Henry AF, Charmley B, Eckard R, Gaughan JB, Hegarty R (2012) Livestock production in a changing climate: adaptation and mitigation research in Australia. Crop & Pasture Science 63(3), 191-202.
| Crossref | Google Scholar |

Herrero M, Henderson B, Havlík P, Thornton PK, Conant RT, Smith P, Wirsenius S, Hristov AN, Gerber PJ, Gill M, Butterbach-Bahl K, Valin H, Garnett T, Stehfest E (2016) Greenhouse gas mitigation potentials in the livestock sector. Nature Climate Change 6(5), 452-461.
| Crossref | Google Scholar |

Hidano A, Holt H, Durrance-Bagale A, Tak M, Rudge JW (2022) Exploring why animal health practices are (not) adopted among smallholders in low and middle-income countries: a realist framework and scoping review protocol. Frontiers in Veterinary Science 9, 915487.
| Crossref | Google Scholar | PubMed |

Hodges RJ, Buzby JC, Bennett B (2011) Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use. Journal of Agricultural Science 149, 37-45.
| Crossref | Google Scholar |

Honan M, Feng X, Tricarico JM, Kebreab E (2021) Feed additives as a strategic approach to reduce enteric methane production in cattle: modes of action, effectiveness, and safety. Animal Feed Science and Technology 62, 1303-1317.
| Crossref | Google Scholar |

Hou L, Chen X, Kuhn L, Huang J (2019) The effectiveness of regulations and technologies on sustainable use of crop residue in Northeast China. Energy Economics 81, 519-527.
| Crossref | Google Scholar |

Hristov AN, Oh J, Firkins JL, Dijkstra J, Kebreab E, Waghorn G, Makkar HPS, Adesogan AT, Yang W, Lee C, Gerber PJ, Henderson B, Tricarico JM (2013) SPECIAL TOPICS – Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options. Journal of Animal Science 91(11), 5045-5069.
| Crossref | Google Scholar | PubMed |

Hundal JS, Aparna, Singh U, Bhatti JS (2016) Methodical investigation of cognitive domain of dairy farmers on the practice of mineral mixture supplementation and its interaction with socio-personal characters. Indian Journal of Animal Nutrition 33(2), 164-168.
| Crossref | Google Scholar |

ICAR (2013) Source: nutrient requirement of cattle and buffaloes. Indian Council of Agricultural Research, New Delhi.

IPCC (2019) 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. (Eds E Calvo Buendia, K Tanabe, A Kranjc, J Baasansuren, M Fukuda, S Ngarize, A Osako, Y Pyrozhenko, P Shermanau, S Federici). Volume 5, Chapter 6. IPCC, Switzerland. Available at https://www.ipcc.ch/report/2019-refinement-to-the-2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/

Janssen PH (2010) Influence of hydrogen on rumen methane formation and fermentation balances through microbial growth kinetics and fermentation thermodynamics. Animal Feed Science and Technology 160, 1-22.
| Crossref | Google Scholar |

Jayne TS, Yamano T, Weber MT, Tschirley D, Benfica R, Chapoto A, Zulu B (2003) Smallholder income and land distribution in Africa: implications for poverty reduction strategies. Food Policy 28(3), 253-275.
| Crossref | Google Scholar |

Jha S, Kaechele H, Sieber S (2021) Factors influencing the adoption of agroforestry by smallholder farmer households in Tanzania: case studies from Morogoro and Dodoma. Land Use Policy 103, 105308.
| Crossref | Google Scholar |

Jisso M, Tesfaye T, Biadgilign S, Tareke AA, Zerfu TA (2022) The role of multi-dimensional women’s empowerment in agriculture to improve the nutritional status of under-five children in rural cash crop producing, resource-limited settings of Ethiopia. Journal of Nutritional Science 11, e92.
| Crossref | Google Scholar | PubMed |

Johnson KA, Johnson DE (1995) Methane emissions from cattle. Journal of Animal Science 73(8), 2483-2492.
| Crossref | Google Scholar | PubMed |

Jurgilevich A, Birge T, Kentala-Lehtonen J, Korhonen-Kurki K, Pietikäinen J, Saikku L, Schösler H (2016) Transition towards circular economy in the food system. Sustainability 8(1), 69.
| Crossref | Google Scholar |

Kannan A, Garg MR, Mahesh Kumar BV (2011) Effect of ration balancing on milk production, microbial protein synthesis and methane emission in crossbred cows under field conditions in Chittoor district of Andhra Pradesh. Indian Journal of Animal Nutrition 28(2), 117-123.
| Google Scholar |

Kasibule D (2013) Impact of the immunisation of cattle against east coast fever in Bugabula County, Kamuli District, Uganda. Makerere University, Uganda. Available at http://dspace.mak.ac.ug/handle/10570/2053

Kaur M, Malik DP, Malhi GS, Sardana V, Bolan NS, Lal R, Siddique KHM (2022) Rice residue management in the Indo-Gangetic Plains for climate and food security: a review. Agronomy for Sustainable Development 42, 92.
| Crossref | Google Scholar |

Khan MAS, Chowdhury MAR, Akbar MA, Shamsuddin M (2007) Urea molasses multinutrient blocks technology–Bangladesh experiences. In ‘Feed supplementation blocks’. (Eds HPS Makkar, M Sánchez, AW Speedy) pp. 75–88. (FAO)

Khanum SA, Hussain M, Hussain HN, Ishaq M (2010) Impact of urea–molasses–multinutrient block supplementation on livestock production in Pakistan. In ‘Successes and failures with animal nutrition practices and technologies in developing countries, Proceedings of the FAO Electronic Conference’, 1–30 September 2010, Rome, Italy, pp. 25–28. (Food and Agriculture Organization of the United Nations)

Knapp JR, Laur GL, Vadas PA, Weiss WP, Tricarico JM (2014) Invited review: enteric methane in dairy cattle production: quantifying the opportunities and impact of reducing emissions. Journal of Dairy Science 97(6), 3231-3261.
| Crossref | Google Scholar |

Kolosova A, Stroka J (2011) Substances for reduction of the contamination of feed by mycotoxins: a review. World Mycotoxin Journal 4, 225-256.
| Crossref | Google Scholar |

Komarek AM, Dunston S, Enahoro D, Godfray HCJ, Herrero M, Mason-D’Croz D, Rich KM, Scarborough P, Springmann M, Sulser TB, Wiebe K, Willenbockel D (2021) Income, consumer preferences, and the future of livestock-derived food demand. Global Environmental Change 70, 102343.
| Crossref | Google Scholar | PubMed |

Kosgey IS, Okeyo AM (2007) Genetic improvement of small ruminants in low-input, smallholder production systems: technical and infrastructural issues. Small Ruminant Research 70(1), 76-88.
| Crossref | Google Scholar |

Kumar S, Dagar SS, Sirohi SK, Upadhyay RC, Puniya AK (2013) Microbial profiles, in vitro gas production and dry matter digestibility based on various ratios of roughage to concentrate. Annals of Microbiology 63(2), 541-545.
| Crossref | Google Scholar |

Lee C, Hristov AN, Dell CJ, Feyereisen GW, Kaye J, Beegle D (2012) Effect of dietary protein concentration on ammonia and greenhouse gas emitting potential of dairy manure. Journal of Dairy Science 95(4), 1930-1941.
| Crossref | Google Scholar | PubMed |

Lestari VS, Rahardja DP, Sirajuddin SN (2022) Barriers to adopt biosecurity at smallholder farmers. IOP Conference Series: Earth and Environmental Science 1012(1), 012020.
| Crossref | Google Scholar |

Li J, Yuan M, Wang H, Zhou K (2023) Government regulations, biosecurity awareness, and farmers’ adoption of biosecurity measures: evidence from pig farmers in Sichuan Province, China. Frontiers in Sustainable Food Systems 7, 1106766.
| Crossref | Google Scholar |

Lindahl JF, Mutua F, Grace D (2020) Evaluating farm-level livestock interventions in low-income countries: a scoping review of what works, how, and why. Animal Health Research Reviews 21(2), 108-121.
| Crossref | Google Scholar | PubMed |

Lovett DK, Shalloo L, Dillon P, O’Mara FP (2006) A systems approach to quantify greenhouse gas fluxes from pastoral dairy production as affected by management regime. Agricultural Systems 88(2–3), 156-179.
| Crossref | Google Scholar |

Lynen G, Yrjö-Koskinen AE, Bakuname C, Di Giulio G, Mlinga N, Khama I, Hanks J, Taylor NM, James AD, McKeever D, Peters AR, Rushton J (2012) East Coast fever immunisation field trial in crossbred dairy cattle in Hanang and Handeni districts in northern Tanzania. Tropical Animal Health and Production 44, 567-572.
| Crossref | Google Scholar |

Makkar HPS (2016a) Animal nutrition: beyond the boundaries of feed and feeding. Food and Agriculture Organization of the United Nations. Rome, Italy.

Makkar HPS (2016b) Smart livestock feeding strategies for harvesting triple gain – the desired outcomes in planet, people and profit dimensions: a developing country perspective. Animal Production Science 56(3), 519-534.
| Crossref | Google Scholar |

Makkar HPS (2018) Review: feed demand landscape and implications of food-not feed strategy for food security and climate change. Animal 12(8), 1744-1754.
| Crossref | Google Scholar | PubMed |

Makkar HPS, Ankers P (2014) A need for generating sound quantitative data at national levels for feed-efficient animal production. Animal Production Science 54(10), 1569-1574.
| Crossref | Google Scholar |

Makoni N, Hamudikuwanda H, Chatikobo P (2015) Artificial insemination and vaccine production value chains in Kenya. pp. 1–44. Embassy of the Kingdom of The Netherlands in Nairobi, Kenya.

Manzana NP, McCrindle CME, Sebei PJ, Prozesky L (2014) Optimal feeding systems for small-scale dairy herds in the North West Province, South Africa. Journal of the South African Veterinary Association 85(1), 1-8.
| Crossref | Google Scholar |

Marshall K, Quiros-Campos C, Van der Werf JHJ, Kinghorn B (2011) Marker-based selection within smallholder production systems in developing countries. Livestock Science 136(1), 45-54.
| Crossref | Google Scholar |

Martin C, Morgavi D, Doreau M (2010) Methane mitigation in ruminants: from microbe to the farm scale. Animal 4(3), 351-365.
| Crossref | Google Scholar | PubMed |

Mmereki D, David VE, Jr., Brownell AHW (2024) The management and prevention of food losses and waste in low- and middle-income countries: a mini-review in the Africa region. Waste Management & Research 42(4), 287-307.
| Crossref | Google Scholar | PubMed |

Moe PW, Tyrrell HF (1979) Methane production in dairy cows. Journal of Dairy Science 62(10), 1583-1586.
| Crossref | Google Scholar |

Mottet A, De Haan C, Falcucci A, Tempio G, Opio C, Gerber PJ (2017) Livestock: On our plates or eating at our table? A new analysis of the feed/food debate. Global Food Security [14] 1-8.
| Google Scholar |

Mudzengi CP, Taderera LM, Tigere A, Kapembeza CS, Moyana S, Zimondi M, Derembwe ET, Dahwa E (2014) Adoption of urea treatment of maize stover technology for dry season supplementation of cattle in Wedza, Zimbabwe. Livestock Research for Rural Development 26(9), 1-8.
| Google Scholar |

Munywoki GN (2021) Adapting to the effects of climate change on livestock production through animal-breeding in Kenya: a brief review of the literature. International Journal of Veterinary Science and Medical Diagnosis 2(2), 108.
| Crossref | Google Scholar |

Mushonga B, Dusabe JP, Kandiwa E, Bhebhe E, Habarugira G, Samkange A (2017) Artificial insemination in Nyagatare District: level of adoption and the factors determining its adoption. Alexandria Journal of Veterinary Sciences 55(1), 1-7.
| Google Scholar |

Mwai O, Hanotte O, Young-jun K, Seo-ae J (2015) Invited review – African indigenous cattle: unique genetic resources in a rapidly changing world. Animal Bioscience 28(7), 911-921.
| Crossref | Google Scholar |

Mwanga G, Mujibi FDN, Yonah ZO, et al. (2019) Multi-country investigation of factors influencing breeding decisions by smallholder dairy farmers in sub-Saharan Africa. Tropical Animal Health and Production 51, 395-409.
| Crossref | Google Scholar | PubMed |

Ngeno V (2024) Adoption of dairy feed technology and its impact on smallholder farmers’ income and poverty in Kenya’s south-western region. Scientific African 23, e02123.
| Crossref | Google Scholar |

Nguyen T, Smith J, Johnson L (2023) Timely culling as a strategy to reduce lifetime emissions of livestock. Journal of Agricultural Science 15(2), 45-58.
| Google Scholar |

Nimbalkar V, Verma HK, Singh J (2022) Impact of Urea–Molasses Multinutrient Block (UMMB) Technology Adoption on Dairy Animal Performance and Factors Associated with its Adoption. Journal of Community Mobilization and Sustainable Development 17, 80-86.
| Google Scholar |

OCHA (2023) Situation Report: Ethiopia: Drought Situation Update #1 - As of 10 March 2023. UN Office for the Coordination of Humanitarian Affairs. Available at https://reliefweb.int/report/ethiopia/ethiopia-drought-situation-update-1-10-march-2023

Odoi A, Gathuma JM, Gachuiri CK, Omore A (2007) Risk factors of gastrointestinal nematode parasite infections in small ruminants kept in smallholder mixed farms in Kenya. BMC Veterinary Research 3, 6.
| Crossref | Google Scholar |

OECD/FAO (2022) ‘OECD–FAO Agricultural Outlook 2022–2031.’ (OECD Publishing) 10.1787/f1b0b29c-en

Ojango JMK, Wasike CB, Enahoro DK, Okeyo AM (2017) Dairy production systems and the adoption of genetic and breeding technologies in Tanzania, Kenya, India and Nicaragua. Animal Genetic Resources 59, 81-95.
| Crossref | Google Scholar |

Okello D, Owuor G, Larochelle C, Gathungu E, Mshenga P (2021) Determinants of utilization of agricultural technologies among smallholder dairy farmers in Kenya. Journal of Agriculture and Food Research 6, 100213.
| Crossref | Google Scholar |

Ominski K, McAllister T, Stanford K, Mengistu G, Kebebe EG, Omonijo F, Cordeiro M, Legesse G, Wittenberg K (2021) Utilization of by-products and food waste in livestock production systems: a Canadian perspective. Animal Frontiers 11(2), 55-63.
| Crossref | Google Scholar | PubMed |

Omondi IA, Zander KK, Bauer S, Baltenweck I (2017) Understanding farmers’ preferences for artificial insemination services provided through dairy hubs. Animal 11(4), 677-686.
| Crossref | Google Scholar | PubMed |

Ortiz-Gonzalo D, Vaast P, Oelofse M, de Neergaard A, Albrecht A, Rosenstock TS (2017) Farm-scale greenhouse gas balances, hotspots and uncertainties in smallholder crop-livestock systems in Central Kenya. Agriculture, Ecosystems & Environment 248, 58-70.
| Crossref | Google Scholar |

Owen E, Jayasuriya MCN (1989) Use of crop residues as animal feeds in developing countries. Research and Development in Agriculture 6(3), 129-138.
| Google Scholar |

Owen E, Smith T, Makkar H (2012) Successes and failures with animal nutrition practices and technologies in developing countries: a synthesis of an FAO e-conference. Animal Feed Science and Technology 174, 211-226.
| Crossref | Google Scholar |

Oxford Analytica (2023) Animal health and sustainability: a global data analysis. Oxford Analytica. Available at https://pages.oxan.com/rs/109-ILL-989/images/Animal-health-and-Sustainability-A-Global-Data-Analysis-FINAL.pdf

Padmakumar V, Duncan AJ, Sones KR (2014) ‘An approach to select locally appropriate feed technologies to support livestock intensification – An impact narrative from Uttarakhand, India,’ Vol. 9. (International Lifestock Research Institute (ILRI) (aka ILCA and ILRAD): Nairobi, Kenya)

Paucar-Quishpe V, Pérez-Otáñez X, Rodríguez-Hidalgo R, Pérez-Escalante C, Cepeda-Bastidas D, Grijalva J, Enríquez S, Arciniegas-Ortega S, Vanwambeke SO, Ron-Garrido L, Saegerman C (2024) Farmers’ adoption, knowledge, and perceptions of tick control measures on dairy farms in subtropical areas of continental Ecuador. Transboundary and Emerging Diseases 2024(1), 5023240.
| Crossref | Google Scholar |

Peters M, Horne P, Schmidt A, Holmann F, Kerridge PC, Tarawali SA, Schultze-Kraft R, Lascano CE, Argel P, Stür W, Fujisaka S, Müller-Sämann K, Wortmann C (2001) The role of forages in reducing poverty and degradation of natural resources in tropical production systems. Network Paper No. 117. Agricultural Research and Extension Network.

Pindyck RS, Rubinfield DL (2013) ‘Microeconomics.’ 8th edn. (Pearson: Boston, MA, USA)

Prayaga KC, Barendse W, Burrow HM (2006) Genetic approaches to enhance adaptability of livestock to tropical environments. Journal of Animal Science 84(E. Suppl), E205-E210.
| Crossref | Google Scholar |

Rahman MS, Sujan MHK, Sherf-Ul-Alam M, Sultana M, Akter MS (2023) Adoption of improved management practices of livestock: case of small-scale farmers in rural Bangladesh. Heliyon 9(8), e18667.
| Crossref | Google Scholar |

Ramin M, Fant P, Huhtanen P (2021) The effects of gradual replacement of barley with oats on enteric methane emissions, rumen fermentation, milk production, and energy utilization in dairy cows. Journal of Dairy Science 104, 5617-5630.
| Crossref | Google Scholar | PubMed |

Rege JEO, Marshall K, Notenbaert A, Ojango JMK, Okeyo AM (2011) Pro-poor animal improvement and breeding – What can science do? Livestock Science 136(1), 15-28.
| Crossref | Google Scholar |

Rehman A, Batool Z, Ma H, et al. (2024) Climate change and food security in South Asia: the importance of renewable energy and agricultural credit. Humanities and Social Sciences Communications 11, 342.
| Crossref | Google Scholar |

Reisinger A, Clark H, Cowie AL, Emmet-Booth J, Gonzalez Fischer FC, Herrero M, Howden M, Leahy S (2021) How necessary and feasible are reductions of methane emissions from livestock to support stringent temperature goals? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, 20200452.
| Crossref | Google Scholar |

Robi DT, Bogale A, Temteme S, Aleme M, Urge B (2024) Adoption of veterinary vaccines, determining factors, and barriers in Southwest Ethiopia: implications for livestock health and disease management strategies. Preventive Veterinary Medicine 225, 106143.
| Crossref | Google Scholar | PubMed |

Rogers EM (1995) ‘Diffusion of innovation.’ (Free Press: New York, NY, USA)

Salmon G (2018) Fact Check 2: Livestock and Economy: Does the livestock sector make up 40% of total agricultural GDP globally? LD4D Livestock Fact Check 2. Supporting Evidence Based Interventions project, University of Edinburgh, Edinburgh, UK. Available at http://hdl.handle.net/1842/30115

Sarnklong C, Cone JW, Pellikaan W, Hendriks WH (2010) Utilization of rice straw and different treatments to improve its feed value for ruminants: a review. Asian-Australasian Journal of Animal Sciences 23(5), 680-692.
| Crossref | Google Scholar |

Sattler SE, Saballos A, Xin Z, Funnell-Harris DL, Vermerris W, Pedersen JF (2014) Characterization of novel Sorghum brown midrib mutants from an EMS-mutagenized population. G3: Genes, Genomes, Genetics 4(11), 2115-2124.
| Crossref | Google Scholar | PubMed |

Simiyu A, Chemuliti J, Nyamongo I, Bukachi S (2022) Informal institutional barriers to access and utilisation of Newcastle disease vaccines among women smallholder chicken farmers in Makueni, Kenya. Anthropology Preprint.
| Crossref | Google Scholar |

Singh GP, Mohini M (1999) Effect of different levels of rumensin in diet on rumen fermentation, nutrient digestibility and methane production in cattle. Asian-Australasian Journal of Animal Sciences 12(8), 1215-1221.
| Crossref | Google Scholar |

Singh M, Kumar MA, Rai SN, Pradhan PK (1993) Urea-ammonia treatment of straw under village conditions reasons for success and failure. In ‘Feeding of ruminants on fibrous crop residues systems’. (Eds K Singh, JB Schiere) pp. 289–305. (Indian Council of Agricultural Research: New Delhi, India)

Smerald A, Rahimi J, Scheer C (2023) A global dataset for the production and usage of cereal residues in the period 1997–2021. Scientific Data 10, 685.
| Crossref | Google Scholar |

Smil V (1999) Crop residues: Agriculture’s largest harvest: crop residues incorporate more than half of the world’s agricultural phytomass. Bioscience 49(4), 299-308.
| Crossref | Google Scholar |

Smith P (2012) Agricultural greenhouse gas mitigation potential globally, in Europe and in the UK: what have we learnt in the last 20 years? Global Change Biology 18(1), 35-43.
| Crossref | Google Scholar |

Son HN, Chi DTL, Kingsbury A (2019) Indigenous knowledge and climate change adaptation of ethnic minorities in the mountainous regions of Vietnam: a case study of the Yao people in Bac Kan Province. Agricultural Systems 176, 102683.
| Crossref | Google Scholar |

Steinfeld H, Gerber P, Wassenaar T, Castel V, Rosales M, de Haan C (2006) ‘Livestock’s long shadow: environmental issues and options.’ (Food and Agriculture Organization of the United Nations (FAO))

Subudhi HN, Prasad KVSV, Ramakrishna C, Rameswar PS, Pathak H, Ravi D, Khan AA, Padmakumar V, Blümmel M (2020) Genetic variation for grain yield, straw yield and straw quality traits in 132 diverse rice varieties released for different ecologies such as upland, lowland, irrigated and salinity prone areas in India. Field Crops Research 245, 107626.
| Crossref | Google Scholar |

Thirunavukkarasu D, Jothilakshmi M, Silpa MV, Sejian V (2022) Factors driving adoption of climatic risk mitigating technologies with special reference to goat farming in India: evidence from meta-analysis. Small Ruminant Research 216, 106804.
| Crossref | Google Scholar |

Thornton P, Nelson GC, Mayberry D, Herrero M (2022) Impacts of heat stress on global cattle production during the 21st century: a modelling study. The Lancet Planetary Health 6(3), e192-e201.
| Crossref | Google Scholar | PubMed |

Tuyen VD, Cone JW, Baars JJP, Sonnenberg ASM, Hendriks WH (2013) Fungal strain and incubation period affect chemical composition and nutrient availability of wheat straw for rumen fermentation. Bioresource Technology 150, 202-208.
| Crossref | Google Scholar |

UNEP Food Waste Index Report (2021) Available at https://www.unep.org/resources/report/unep-food-waste-index-report-2021 [accessed 10 December 2024]

UNICEF/WHO/World Bank Group (2023) Levels and trends in child malnutrition: UNICEF/WHO/World Bank Group joint child malnutrition estimates. UNICEF, WHO, World Bank Group.

Valergakis GE, Arsenos G, Basdagianni Z, Banos G (2008) Grouping strategies and lead factors for ration formulation in milking ewes of the Chios breed. Livestock Science 115(2–3), 211-218.
| Crossref | Google Scholar |

Valli C (2020) Mitigating enteric methane emission from livestock through farmer-friendly practices. In ‘Global climate change and environmental policy’. (Eds V Venkatramanan, S Shah, R Prasad) pp. 257–273. (Springer: Singapore) 10.1007/978-3-030-45443-9_13

van Hal O, Weijenberg AAA, de Boer IJM, van Zanten HHE (2019) Accounting for feed-food competition in environmental impact assessment: towards a resource efficient food-system. Journal of Cleaner Production 240, 118241.
| Crossref | Google Scholar |

van Wijk MT, Merbold L, Hammond J, Butterbach-Bahl K (2020) Improving assessments of the three pillars of climate smart agriculture: current achievements and ideas for the future. Frontiers in Sustainable Food Systems 4, 558483.
| Crossref | Google Scholar |

Van Zanten HHE, Van Ittersum MK, De Boer IJM (2019) The role of farm animals in a circular food system. Global Food Security 21, 18-22.
| Crossref | Google Scholar |

Von Soosten D, Meyer U, Hummel J, Sudekum KH, Dänicke S (2020) Reducing greenhouse gas emissions in livestock production by balancing nutrient supply and improving feed efficiency. Journal of Dairy Science 103(6), 5591-5604.
| Crossref | Google Scholar |

Vyas D, Alemu AW, McGinn SM, Duval SM, Kindermann M, Beauchemin KA (2018) The combined effects of supplementing monensin and 3-nitrooxypropanol on methane emissions, growth rate, and feed conversion efficiency in beef cattle fed high-forage and high-grain diets. Journal of Animal Science 96(7), 2923-2938.
| Crossref | Google Scholar | PubMed |

Wester P, Mishra A, Mukherji A, Shrestha AB (Eds) (2019) ‘The Hindu Kush Himalaya assessment: mountains, climate change, sustainability and people.’ (Springer Nature: Switzerland)

World Bank (2011) ‘Missing food: The case of postharvest grain losses in Sub-Saharan Africa.’ (The World Bank: Washington, DC, USA)

World Bank (2021) Opportunities for climate finance in the livestock sector: removing obstacles and realizing potential. World Bank, Washington, DC, USA. Available at http://hdl.handle.net/10986/35495.

Wurzinger M, Gutiérrez GA, Sölkner J, Probst L (2021) Community-based livestock breeding: coordinated action or relational process? Frontiers in Veterinary Science 8, 671656.
| Crossref | Google Scholar |

Xu X, Sharma P, Shu S, Lin T-S, Ciais P, Tubiello FN, Smith P, Campbell N, Jain AK (2021) Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods. Nature Food 2(9), 724-732.
| Crossref | Google Scholar | PubMed |

Yiryele, M (2016) Prevalence of Theileria parva and Trypanosome Infections in the Dry Season: A Case of Monduli District, Northern Tanzania. Sokoine University Of Agriculture, Tanzania. Available at http://suaire.suanet.ac.tz:8080/xmlui/handle/123456789/1575

Young JR, Evans-Kocinski S, Bush RD, Windsor PA (2015) Improving smallholder farmer biosecurity in the Mekong region through change management. Transboundary and Emerging Diseases 62(5), 491-504.
| Crossref | Google Scholar | PubMed |

Zabala A, Barrios LEG, Pascual U (2022) From participation to commitment in silvopastoral programmes: insights from Chiapas, Mexico. Ecological Economics 200, 107544.
| Crossref | Google Scholar |