Projects per year
Personal profile
Research interests
My research interests focus in the area of ruminant (beef and sheep) systems. More specifically:
• Measurement of GHG emissions from beef and sheep systems (housed and grazing).
• Development and validation of proxy measures of GHGs from ruminants.
• Mitigation strategies for GHG emissions from ruminant production.
• Development of technologies for continuous, automated and real-time monitoring of animals on-farm, including monitoring of GHG emissions.
• Development of animal mounted sensors (new sensors and novel uses for sensors on the market),
• Prediction of slaughter characteristics in live animals to increase production efficiency/profitability.
• Development of improved nutrition models for use in the beef industry to improve efficiency.
Projects
- 2021-2021 DEFRA. Methane-inhibiting livestock feed supplements: review of net impacts, barriers to success and consumer acceptance (£85k) CO-I.
- 2019-2020 SEFARI Fellowship with NFU Scotland: Producing materials summarising the current understanding of Scottish agriculture and GHG emissions aimed at NFU Scotland members (£13,800) PI.
- 2019-2020 Agolin SA Methane emissions and feed efficiency of finishing beef steers offered diets containing ‘Agolin Ruminant’ (£30,000) PI.
- 2018-2023 AHDB Feed into Beef: Re-defining nutrition standards for improving beef production efficiency (£282,500) Co-I with Richard Dewhurst and Jenna Bowen
- 2019-2023 InnovateUK. OPTI-BEEF: Precision agricultural solution to monitor lifetime productivity and product quality (£1.3M). Researcher
- 2018-2022 EU Horizon 2020. (INFRAIA-2017-01 call, 2018-2022). SMARTCOW: An integrated infrastructure for increased research capability and innovation in the European cattle sector. (£365k) Researcher
- 2017-2019 SARIC NERC. Novel animal-mounted sensor technology to improve efficiency and sustainability. (252k) Researcher
- 2014-2018 Innovate UK. Beef Monitor. (£1.3M) Researcher.
Supervision
PhD student (2020-present) Improving the efficiency of beef production through the use of precision farming technologies and machine learning techniques. Joint with University of Edinburgh
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Precision Livestock Farming (PLF) Technologies to reduce greenhouse gas (GHG) emissions intensity of pasture-based cattle systems
Dewhurst, R., Nicoll, L., Duthie, C., Broadbent, C., Miller, G., Bowen, J. & Ferguson, H.
Department for Environment, Food and Rural Affairs
1/10/19 → 30/03/23
Project: Research
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Agri CIEL - Re-defining nutrition standards for improving beef production efficiency
Dewhurst, R., Miller, G. & Bowen, J.
1/03/18 → 31/03/23
Project: Research
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CR/2021/03: Reducing emissions from agriculture – the role of new technologies
Barnes, A., Eory, V., Rees, B., Newbold, J., Duthie, C., Bowen, J., Miller, G. & Farquhar, J.
13/09/21 → 31/03/22
Project: Research
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Methane-inhibiting livestock feed supplements: review of net impacts, barriers to success and consumer acceptance
Duthie, C., Newbold, J., Miller, G. & Vigors, B.
8/02/21 → 8/08/21
Project: Research
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Identifying cattle with superior growth feed efficiency through their natural 15N abundance and plasma urea concentration: A meta-analysis
Cantalapiedra-Hijar, G., Morel, I., Sepchat, B., Chanteleuze, C., Miller, G. A., Duthie, C-A., Ortigues-Marty, I. & Dewhurst, RJ., 1 Jun 2022, (First published) In: Peer Community Journal. 2, e31.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Methane Emissions and Rumen Metabolite Concentrations in Cattle Fed Two Different Silages
Bica, RB., Palarea-Albaladejo, J., Patricia Do Jardim Goncalves Lima, JPL., Uhrin, D., Miller, G. A., Bowen, J. M., Pacheco, D., Macrae, A. & Dewhurst, RJ., 31 Mar 2022, (First published) In: Scientific Reports. 12, 5441.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Passive breath monitoring of livestock: Using factor analysis to deconvolve the cattle shed
Langford, B., Cash, J., Beel, G., Di Marco, C. F., Duthie, C-A., Haskell, M., Miller, G., Nicoll, L., Roberts, C. S. & Nemitz, E., Apr 2022, In: Journal of Breath Research. 16, 2, 026005.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Early prediction of respiratory disease in preweaning dairy calves using feeding and activity behaviors
Bowen, J. M., Haskell, MJ., Miller, G. A., Mason, CS., Bell, DB. & Duthie, C-A., Nov 2021, In: Journal of Dairy Science. 104, 11, p. 12009-12018 10 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Predicting enteric methane production from the rumen microbial composition of beef steers fed either a high concentrate or cut grass diet
Miller, G. A., Auffret, M., Roehe, R., Nisbet, H. & Martinez Alvaro, MM., Apr 2021, Animal: Proceedings of the British Society of Animal Science. Vol. 12. p. 57 1 p. 78. (Animal - science proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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NFU Scotland Climate Change Advisory Panel (External organisation)
Gemma Miller (Member)
2020 → 2023Activity: Membership types › Membership of panel
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Animals Board of Reviewers (External organisation)
Gemma Miller (Member)
2020 → …Activity: Membership types › Membership of board