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The need for consideration of environmental implications in developing countries’ dairy research

Published online by Cambridge University Press:  20 May 2020

Long Cheng*
Affiliation:
Faculty of Veterinary and Agricultural Sciences, Dookie Campus, The University of Melbourne, Victoria3647, Australia
*
Author for correspondence: Long Cheng, Email: [email protected]
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Abstract

Type
Editorial
Copyright
Copyright © Hannah Dairy Research Foundation 2020

The global human population reached 7.7 billion in 2020 and it is expected to increase close to 9 billion in the next 30 years. This substantial population growth is associated with improvements in human life expectancy, growing urbanization, and increasing demand on our limited environmental resources. These facts challenge the way we farm dairy cattle and require dairy production to be managed sustainably, with environmental protection as a major factor to consider. There are many components involved in sustainable dairy production and two major components will be discussed in this short Editorial: environmental pollution quantification and mitigation.

Over the last 30 years, environmental protection has increasingly become a subject of concern for dairy production and research. However, the majority of the environmental protection research in dairying was conducted in developed countries rather than in developing countries, partly due to limited research funding in the latter but also since environmental protection has low priority for developing country investment, relative to simply feeding their population. The quantification of environmental pollution requires specific technical skills and equipment and can be very costly to research (e.g. measurement of enteric methane from individual cows or quantification of ammonia emission from dairy herd manure). However, the five countries with the largest dairy populations are mostly located in South and East Asia and are all developing countries. These five countries contribute to ~40% of the total world dairy cow population. If we take South and East Asia region as an example for comparison, the recent data published by FAO (2019) shows that the emission intensity of milk (kg CO2 eq./kg fat- and protein-corrected milk) production was 2.3 times higher than milk produced in Europe in 2015. This clearly demonstrates that there is ample room for improvement in environmental sustainability of dairy production in developing countries.

From this, the logical question to ask is How can developing countries consider the environmental implications in their dairy research and publication? While developing countries are urged to conduct more dairy research projects locally to understand the implication of their studies’ impact on environment sustainability, there are also opportunities for scientists from these countries to utilize well published models to estimate environmental impact from their studies. For example, when gross energy intake is quantified with forage-fed cattle, methane production can be estimated as: methane production (MJ/d) = 0.063 × gross energy intake (MJ/d) (R 2 = 0.93, P < 0.001) (Charmley et al., Reference Charmley, Williams, Moate, Hegarty, Herd, Oddy, Reyenga, Staunton, Anderson and Hannah2016); this model being established from more than 1000 individual cattle/cow records spanning bovines from temperate and tropical pastures. In addition, routinely measured biomarkers, such as blood urea nitrogen can be used as a proxy for urine nitrogen excretion in cattle feeding trials (Kohn et al., Reference Kohn, Dinneen and Russek-Cohen2005). This is a major pollutant in dairy farms, causing nitrogen leaching and greenhouse gas emissions.

It is important to point out that scientists considering environmental implications in developing countries’ dairy research should also try to understand the soil-plant-animal interaction within a production system. For example, despite herbal plantain being reported to reduce cattle urinary nitrogen pollution compared with ryegrass pasture (Box et al., Reference Box, Edwards and Bryant2017; Cheng et al., Reference Cheng, McCormick, Hussein, Logan, Pacheco, Hodge and Edwards2017), recent work by Cheng et al. (Reference Cheng, Martin, Bywater, Moir, Cameron and Edwards2019) demonstrated that when the annual biomass of plantain was higher than ryegrass pasture, it allowed the production system to carry more dairy cattle. While increasing total farm productivity, this also leads to higher nitrogen leaching on farm than ryegrass pasture feeding system. Furthermore, we need to be aware of potential trade-offs between effects and incorporate the indirect pollution. Life cycle assessment is useful to allow total emissions associated with production systems to be accounted (Finnegan et al., Reference Finnegan, Goggins and Zhan2018).

With consumers increasingly demanding lower environmental impact, we will see increasing pressure on the livestock industries to improve their sustainability and reduce their impact on the environment. Fortunately, with improved feed conversion efficiency and animal genetics combined with better management of forage land resource and feeding practise, global emission intensity of milk has decreased by 11% over the ten-year period between 2005 and 2015 (FAO, 2019). Still, more work is needed to mitigate pollution and develop sustainable dairy production globally. This requires the global dairy research community and, in particular, scientists from developing countries, to consider environmental implications in their dairy research.

Acknowledgement

I thank Professor Richard Eckard and Deli Chen from The University of Melbourne for sharing their knowledge and providing useful discussion to this topic.

References

Box, LA, Edwards, GR and Bryant, RH (2017) Milk production and urinary nitrogen excretion of dairy cows grazing plantain in early and late lactation. New Zealand Journal of Agricultural Research 60, 470482.CrossRefGoogle Scholar
Charmley, ESRO, Williams, SRO, Moate, PJ, Hegarty, RS, Herd, RM, Oddy, VH, Reyenga, P, Staunton, KM, Anderson, A and Hannah, MC (2016) A universal equation to predict methane production of forage-fed cattle in Australia. Animal Production Science 56, 169180.CrossRefGoogle Scholar
Cheng, L, McCormick, J, Hussein, AN, Logan, C, Pacheco, D, Hodge, MC and Edwards, GR (2017) Live weight gain, urinary nitrogen excretion and urination behaviour of dairy heifers grazing pasture, chicory and plantain. The Journal of Agricultural Science 155, 669678.CrossRefGoogle Scholar
Cheng, L, Martin, KE, Bywater, AC, Moir, JL, Cameron, KC and Edwards, GR (2019) Modelling: effect of feeding plantain pasture to three different breeds of calf/heifer on weight gain and nitrogen leaching in Canterbury. New Zealand Journal of Agricultural Research 63, 123137.CrossRefGoogle Scholar
Cheng, L, Martin, KE, Bywater, AC, Moir, JL, Cameron, KC and Edwards, GR (2020) Modelling: effect of feeding plantain pasture to three different breeds of calf/heifer on weight gain and nitrogen leaching in Canterbury. New Zealand Journal of Agricultural Research 63:1, 123137, DOI: 10.1080/00288233.2019.1581236.CrossRefGoogle Scholar
FAO (2019) Climate change and the global dairy cattle sector. Global Agenda for Sustainable Livestock. Rome: Food and Agriculture Organization of the United Nations. http://www.fao.org/3/CA2929EN/ca2929en.pdf.Google Scholar
Finnegan, W, Goggins, J and Zhan, X (2018) Assessing the environmental impact of the dairy processing industry in the Republic of Ireland. Journal of Dairy Research 85, 396399.CrossRefGoogle ScholarPubMed
Kohn, RA, Dinneen, MM and Russek-Cohen, E (2005) Using blood urea nitrogen to predict nitrogen excretion and efficiency of nitrogen utilization in cattle, sheep, goats, horses, pigs, and rats. Journal of Animal Science 83, 879889.CrossRefGoogle ScholarPubMed