Future directions of animal feed technology research to meet the challenges of a changing world

Published on: 10/14/2020
Author/s : A.F.B. vander Poel 1; M.R.Abdollahi 2; H.Cheng 3; R.Colovic 4; L.A. den Hartog 1, 5, 7; D.Miladinovic 6; G.Page 7; K.Sijssens 5; J.F.Smillie 8; M.Thomas 9; W.Wang 10; P.Yu 8; W.H.Hendriks 1.

Author details:

1 Animal Nutrition Group, Department of Animal Sciences, Wageningen University, De Elst 1, 6708 WD, Wageningen, the Netherlands; 2 Monogastric Research Centre, School of Agriculture and Environment, Massey University, Palmerston North, 4442, New Zealand; 3 Feed Research Institute, Chinese Academy of Agriculture Science, Beijing, 100081, China; 4 Institute of Food Technology, University of Novi Sad, 21000 Novi Sad, Serbia; 5 Victam International BV, Watergoorweg 102a, 3861 MA, Nijkerk, the Netherlands; 6 Norwegian University of Life Sciences, Center for Feed Technology, Faculty of Biosciences, Arboretvn 2-10, 1433 Ås, Akershus, Norway; 7 Trouw Nutrition, Stationsstraat 77, 3800 AG, Amersfoort, the Netherlands; 8 Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8 Canada; 9 Zetadec, Agrobusiness Park 44, 6708 P W, Wageningen, the Netherlands; 10 College of Bio-engineering, Henan University of Technology, Lianhua Road, High & New Technology District, Zhengzhou, 450001, China.



• Animal feed has a social responsibility in sustainable food production.

• Interaction of nutritionist, technologist and mill operator benefits feed quality.

• Accurate and fast testing technologies should account for ingredient variability.

• Big data will play a pivotal role to model specific aspects of feed manufacturing.

• Process optimisation can benefit from skilled data scientists and machine experts.



Feed technology involves the processing of ingredients and the manufacture of animal feeds and is an integral part of animal production systems to provide high quality and nutritious food. The objective is to transform low quality ingredients into higher value feed components, and improve nutrient utilization of compound feeds. Animal feed, therefore, has a social responsibility to contribute to more sustainable food production systems. Further understanding of the structures and functional properties of feed components, their changes with different primary and secondary processing and their conditions, are essential to more accurately meet nutrient requirements of animals. In addition, it will enable a more accurate assessment of overall costs of processing or production with respect to the societal responsibility of feed processing; this may include energy use, carbon footprint, use of water resources and life cycle assessment. Accurate and fast testing technologies should account for the variability within ingredients and the different practices used in the equipment and raw material processing, as well as those in feed mills. Big data will play a pivotal role to model specific aspects of feed manufacturing and could enable the development of a model integrating characteristics of diet ingredients, recipe and processing conditions, whilst optimizing energy consumption, (physical) feed quality and production rate. Collaboration between skilled data scientists, machine experts, feed manufacturing technologists and nutritionists, using advanced data analytics is, therefore, required for future process optimisation. An improved interaction between those responsible for the actual formulation of animal diets, feed technologists and mill operators may result in a more constant final feed product quality and the lowest electrical and fossil energy consumption during manufacture, despite inclusion of alternative/substitute ingredients. Lesser known, novel processing techniques may significantly contribute to improve the nutritional value of raw materials and complete feeds. However, only a few techniques may be scalable to economically feasible processes, while others may only be applicable to one animal species and not usable as a general process. In addition, modern feed mills need flexibility and the ability to switch to serve customer wishes and logistics where feed recipes and feed forms are concerned. A major constraint to conduct research in feed processing is the difficulty to acquire attention and funding. More attention should be given to feed additives in processed feed (mainly in pellet form), with research focused on the interaction effects between feed processing conditions, feed components and feed additives. Finally, future feed technologists will require recognized qualifications, possibly to a diploma level. Courses must be successfully completed and include knowledge on smart manufacturing and integrated process control systems. From a feed industry perspective, success of participation in the next industrial feed mill development will be determined by how well staff are prepared and trained.


Abstract published in Animal Feed Science and Technology, Volume 270, December 2020, 114692. https://doi.org/10.1016/j.anifeedsci.2020.114692.

M. Reza Abdollahi is currently working as a Postdoctoral Research Fellow in Poultry Nutrition in Institute of Veterinary, Animal and Biomedical Sciences (IVABS), Massey University. Based on his doctoral research, Dr. Abdollahi has been awarded three prestigious awards. First, the award for best postgraduate oral presentation at the 2009 Australian Poultry Science Symposium, held in Sydney, Second, the 2010 Alltech (USA) Young Scientist Award at the Postgraduate level, and third, the award for Excellent Scientific Oral Presentation at the 15th AAAP Animal Science Congress, held in Bangkok, 2012
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