Author
O'Brien, Bernadette J.Beresford, Tom
Cotter, Paul D.
Gleeson, D.
Kelly, A.
Kilcawley, Kieran
Magan, J.
McParland, Sinead
Murphy, E.
O’Callaghan, Tom
Tobin, John
Fenelon, Mark
Date
2022-02-26
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B. O’Brien, T. Beresford and P.D. Cotter et al. Irish research response to dairy quality in an era of change. Irish Journal of Agricultural and Food Research. DOI: 10.15212/ijafr-2020-0142Abstract
The Irish dairy sector is recognised for its very significant contribution to the national economic status; it is now worth ∼€5 billion annually and represents the largest food and drink export category, which, in turn, represents one of the four largest manufacturing industries in the country. Given anticipated further growth in global demand for dairy products and the positive attributes and capabilities that Ireland has to meet that demand, in terms of pasture-based production and cost competitiveness, it is incumbent for the sector to attain the highest quality milk and dairy products. The combined collaborative approach between research and industry has ensured significant progress and enabled Ireland to remain at the forefront globally in terms of production of quality milk and dairy products. This paper highlights some specific scientific platforms and technologies currently shaping the industry in this regard and discusses current research activity as well as anticipating key requirements for future progress. While research, and farm and processing plant management have accomplished very significant advances in milk and dairy product quality, some overarching emerging challenges include product substitution and sustainability. Some key pillars for the future have been identified on which a strong, efficient dairy sector can be maintained and progressed. Specifically, the use of evidence-based information and real-time measures in prediction and decision-making will be a crucial pillar for the dairy sector of the future. This can promote an approach of proactive maintenance and optimisation of production through improved predictability and control of manufacturing processes.ae974a485f413a2113503eed53cd6c53
http://dx.doi.org/10.15212/ijafr-2020-0142
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