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Capacity of milk composition to identify the feeding system used to feed dairy cows

Published online by Cambridge University Press:  23 August 2017

Fernando Vicente ,
Carme Santiago ,
José D Jiménez-Calderón  and
Adela Martínez-Fernández
Fernando Vicente*
Affiliation:
Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Villaviciosa (Asturias), Spain
Carme Santiago
Affiliation:
Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Villaviciosa (Asturias), Spain
José D Jiménez-Calderón
Affiliation:
Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Villaviciosa (Asturias), Spain
Adela Martínez-Fernández
Affiliation:
Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Villaviciosa (Asturias), Spain
*
*For correspondence; e-mail: [email protected]
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Abstract

This Research Paper addresses the hypothesis that is possible to identify the type of feed used for dairy cows by means of the analysis of milk composition and the fatty acid profile of milk fat. Sixteen dairy farms were monitored during 1 year with quarterly visits between summer 2014 and spring 2015. Rations varied throughout the year due to annual dynamic change of forage production, forage rotation, variation of nutrient requirements according to physiological state of the animal, etc. The ingredients of the rations were analysed by cluster identifying five feeding systems based on the main ingredient of the diet: grazing, maize silage, grass silage, dry forage and concentrate. Milk composition could explain up to 91·3% of the total variability among feeding systems, while fatty acid profile could explain only up to 61·2% of total variability. However, when the sum of types of fatty acids and their ratios are taken, up to 93·5% of total variability could be explained. The maize silage system had the greatest milk yield, protein, solid non-fat and urea proportions, as well as the highest proportion of saturated fatty acid and lowest concentration of trans11 18 : 1, cis9 18 : 1 and 18 : 3 n3. Principal component analysis distinguishes the maize silage system from other feeding systems, both from milk composition and milk fatty acid profile. Concentrate system overlapped partially with the grazing, grass silage and dry forage systems. The latter systems had the highest concentrations of cis9 18 : 1, trans11 18 : 1 and 18 : 3, but there was no clear differentiation among them.

Keywords

Dairy cowfeeding systemfatty acid profileauthenticationprincipal component analysis
Type
Research Article
Information
Journal of Dairy Research , Volume 84 , Issue 3 , August 2017 , pp. 254 - 263
Copyright
Copyright © Proprietors of Journal of Dairy Research 2017 

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References

Argamentería, A, Vicente, F, Martínez-Fernández, A, Cueto, MA & Roza-Delgado, B 2006 Influence of partial total mixed rations amount on the grass voluntary intake by dairy cows. Grassland Science in Europe 11 161–163 Google Scholar
Bargo, F, Muller, LD, Delahoy, JE & Cassidy, TW 2002 Performance of high producing dairy cows with three different feeding systems combining pasture and total mixed rations. Journal of Dairy Science 85 2948–2963 CrossRefGoogle ScholarPubMed
Borreani, G, Coppa, M, Revello-Chion, A, Comino, L, Giaccone, D, Ferlay, A & Tabacco, E 2013 Effect of different feeding strategies in intensive dairy farming systems on milk fatty acid profile, and implications on feeding costs in Italy. Journal of Dairy Science 96 6840–6855 Google Scholar
Butler, G, Collomb, M, Rehberger, B, Sanderson, R, Eyre, M & Leifert, C 2009 Conjugated linoleic acid isomer concentrations in milk from high- and low-input management dairy systems. Journal of Science of Food and Agriculture 89 697–705 CrossRefGoogle Scholar
Capuano, E, Van der Veer, G, Boerrigter-Eenling, R, Elgersma, A, Rademaker, J, Sterian, A & Van Ruth, SM 2014 Verification of fresh grass feeding, pasture grazing and organic farming by cows farm milk fatty acid profile. Food Chemistry 164 234–241 CrossRefGoogle ScholarPubMed
Elgersma, A, Tamminga, S & Ellen, G 2006 Modifying milk composition through forage. Animal Feed Science and Technology 131 207–225 Google Scholar
Griinari, JM & Bauman, DE 2006 Milk fat depression: concepts, mechanisms and management. In Ruminant Physiology: Digestion, Metabolism and Impact of Nutrition on Gene Expression, Immunology and Stress, pp. 389–2291 (Eds Sejrsen, K, Hvelplund, T & Nielsen, MO). Netherlands: Wageningen Google Scholar
Hernández-Ortega, M, Martínez-Fernández, A, Soldado, A, González, A, Arriaga-Jordán, CM, Argamentería, A, de la Roza-Delgado, B & Vicente, F 2014 Effect of total mixed ration composition and daily grazing pattern on milk production, composition and fatty acids profile of dairy cows. Journal of Dairy Research 81 471–478 Google Scholar
Jiménez-Calderón, JD, Santiago, C, Martínez-Fernández, A & Vicente, F 2015 Current state of the feeding systems for dairy cows in the Principality of Asturias (Spain). Grassland Science in Europe 20 105–106 Google Scholar
Kay, JK, Roche, JR, Kolver, ES, Thomson, NA & Baumgard, LH 2005 A comparison between feeding systems (pasture and TMR) and the effect of vitamin E supplementation on plasma and milk fatty acid profiles in dairy cows. Journal of Dairy Research 73 322–332 CrossRefGoogle Scholar
Knaus, W 2016 Perspectives on pasture versus indoor feeding of dairy cows. Journal of the Science of Food and Agriculture 96 9–17 Google Scholar
Larsen, MK, Andersen, KK, Kaufmann, N & Wiking, L 2014 Seasonal variation in the composition and melting behavior of milk fat. Journal of Dairy Science 97 4703–4712 Google Scholar
Liu, C, Schingoethe, DJ & Stegeman, GA 2000 Corn distillers grains versus blend of protein supplements with or without ruminally protected amino acids for lactating cows. Journal of Dairy Science 83 2075–2084 Google Scholar
Luykx, DM & van Ruth, SM 2008 An overview of analytical methods for determining the geographical origin of food products. Food Chemistry 107 897–911 Google Scholar
Martin, B, Cornu, A, Kondjoyan, N, Ferlay, A, Verdier-Metz, I, Pradel, P & Berdagué, JL 2005 Milk indicators for recognizing the types of forages eaten by dairy cows. EAAP Publication 112 127–136 Google Scholar
Martínez-Fernández, A, Argamntería, A & Roza Delgado, B 2014 Manejo de forrajes para ensilar. In [Management of Forages for Silage] (Ed Servicio Regional de Investigación y Desarrollo Agroalimentario del Principado de Asturias). Villaviciosa, Spain: SERIDA. http://www.serida.org/pdfs/6079.pdf (In Spanish)Google Scholar
McCarthy, B, Delaby, L, Pierce, KM, Journot, F & Horan, B 2011 Meta-analysis of the impact of stocking rate on the productivity of pasture-based milk production systems. Animal 5 784–794 CrossRefGoogle ScholarPubMed
Mitani, T, Kobayashi, K, Ueda, K & Kondo, S 2016 Discrimination of ‘grazing milk’ using milk fatty acid profile in the grassland dairy area in Hokkaido. Animal Science Journal 87 233–241 Google Scholar
Morales-Almaráz, E, de la Roza-Delgado, B, González, A, Soldado, A, Rodríguez, ML, Peláez, M & Vicente, F 2011 Effect of feeding system on unsaturated fatty acid levels in milk of dairy cows. Renewable Agriculture and Food Systems 26 224–229 CrossRefGoogle Scholar
Nousiainen, J, Schingfield, KJ & Huhtanen, P 2004 Evaluation of milk urea nitrogen as a diagnostic of protein feeding. Journal of Dairy Science 87 386–398 Google Scholar
NRC 2001 Nutrient Requirements of Dairy Cattle, 7th rev. edn. Washington, DC: National Academy Press Google Scholar
R Core Team, 2014 R: a Language and Environment for Statistical Computing. R Foundation for Statistical computing. Vienna (Austria). https://www.R-project.org/ Google Scholar
Shingfield, KJ, Bonnet, M & Scollan, ND 2013 Recent developments in altering the fatty acid composition of ruminant-derived foods. Animal 7 132–162 Google Scholar
Simopoulos, AP 2002 The importance of the ratio of omega-6/omega-3 essential fatty acids. Biomedicine and Pharmacotherapy 56 365–379 Google Scholar
Slots, T, Butler, G, Leifert, C, Kristensen, T, Skibsted, LH & Nielsen, JH 2009 Potentials to differentiate milk composition by different feeding strategies. Journal of Dairy Science 92 2057–2066 Google Scholar
Średnicka-Tober, D, Barański, M, Seal, CJ, Sanderson, R, Benbrook, C, Steinshamn, H, Gromadzka-Ostrowska, J, Rembiałkowska, E, Skwarło-Sońta, K, Eyre, M, Cozzi, G, Larsen, MK, Jordon, T, Niggli, U, Sakowski, T, Calder, PC, Burdge, GC, Sotiraki, S, Stefanakis, A, Stergiadis, S, Yolcu, H, Chatzidimitriou, E, Butler, G, Stewart, G & Leifert, C 2016 Higher PUFA and n-3 PUFA, conjugated linoleic acid, α-tocopherol and iron, but lower iodine and selenium concentrations in organic milk: a systematic literature review and meta- and redundancy analyses. British Journal of Nutrition 115 1043–1060 CrossRefGoogle ScholarPubMed
Sutton, JD 1989 Altering milk-composition by feeding. Journal of Dairy Science 72 2801–2814 CrossRefGoogle Scholar
Troegeler-Meynadier, A, Bret-Bennis, L & Enjalbert, F 2006 Rates and efficiencies of reactions of ruminal biohydrogenation of linoleic acid according to pH and polyunsaturated fatty acids concentrations. Reproduction Nutrition Development 46 713–724 Google Scholar
Valenti, B, Martin, B, Andueza, D, Leroux, C, Labonne, C, Lahalle, F, Larroque, H, Brunschwig, P, Lecomte, C, Brochard, M & Ferlay, A 2013 Infrared spectroscopic methods for the discrimination of cows’ milk according to the feeding system, cow breed and altitude of the dairy farm. International Dairy Journal 32 26–32 Google Scholar
Van Dijk, H, Schukking, S & Van der Berg, R 2015 Fifty years of forage supply on dairy farms in the Netherlands. Grassland Science in Europe 20 12–20 Google Scholar
Vlaeminck, B, Fievez, V, Cabrita, ARJ, Fonseca, AJM & Dewhurst, RJ 2006 Factors affecting odd-and branched-chain fatty acids in milk: a review. Animal Feed Science and Technology 131 389–417 Google Scholar
Walker, GP, Dunshea, FR & Doyle, PT 2004 Effects of nutrition and management on the production and composition of milk fat and protein: a review. Australian Journal of Agricultural Research 55 1009–1028 Google Scholar
Westreicher-Kristen, E, Kaiser, R, Steingass, H & Rodehutscord, M 2014 Effect of feeding dried distillers’ grains with solubles on milk yield and milk composition of cows in mid-lactation and digestibility in sheep. Journal of Animal Physiology and Animal Nutrition 98 347–356 Google Scholar
Wood, JD, Richardson, RI, Nute, GR, Fisher, AV, Campo, MM, Kasapidou, E, Sheard, PR & Enser, M 2003 Effects of fatty acids on meat quality: a review. Meat Science 66 21–32 Google Scholar