Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T14:07:44.243Z Has data issue: false hasContentIssue false
  • English
  • Français

Genomic selection in relation to bovine milk composition and processability

Published online by Cambridge University Press:  30 November 2011

Maria Glantz ,
Helena Lindmark Månsson ,
Marie Paulsson  and
Hans Stålhammar
Maria Glantz*
Affiliation:
Department of Food Technology, Engineering and Nutrition, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden
Helena Lindmark Månsson
Affiliation:
Department of Food Technology, Engineering and Nutrition, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden Swedish Dairy Association, Ideon Science Park, SE-223 70 Lund, Sweden
Marie Paulsson
Affiliation:
Department of Food Technology, Engineering and Nutrition, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden
Hans Stålhammar
Affiliation:
VikingGenetics, P.O. Box 64, SE-532 21 Skara, Sweden
*
*For correspondence; e-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Genomic selection is a new technology in which selection decisions are based on direct genomic values (DGVs) or genomic enhanced breeding values (GEBVs). The objective of this study was to evaluate the relations between DGVs and several milk traits important for both the nutritional value and processability of milk. This is a new approach and can be used to increase the knowledge on how genomic selection can be used in practice. Morning milk samples from Swedish Holstein cows were analyzed for milk composition and technological properties. DGVs were received for each cow for milk, protein and fat yield, milk index, udder health, Nordic total merit and a quota was calculated between fat and milk yield as well as protein and milk yield. The results show that linear correlations exist (P<0·10) between the studied DGVs and contents and yields of parameters in the protein (P=0·002–0·097), fat (P=0·024–0·055) and mineral profiles (P=0·001–0·099) as well as for cheese characteristics (P=0·004–0·065), thus making it possible to obtain detailed information on milk traits that are not registered in the milk recording scheme. Hence, genomic selection will be an efficient tool for breeding and dairy industry to select cows early in life for targeted milk production.

Keywords

Genomic selectiondirect genomic valuemilk compositionmilk processability
Type
Research Article
Information
Journal of Dairy Research , Volume 79 , Issue 1 , February 2012 , pp. 53 - 59
Copyright
Copyright © Proprietors of Journal of Dairy Research 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amenu, B & Deeth, HC 2007 The impact of milk composition on cheedar cheese manufacture. Australian Journal of Dairy Technology 62 171–184Google Scholar
Barowska, J, Litwinczuk, Z, Wolanciuk, A & Brodziak, A 2009 Relationship of somatic cell count to daily yield and technological usefulness of milk from different breeds of cows. Polish Journal of Veterinary Sciences 12 75–79Google Scholar
Calus, MPL 2010 Genomic breeding value prediction, methods and procedures. Animal 4 157–164CrossRefGoogle ScholarPubMed
Carlén, E, Strandberg, E & Roth, A 2004 Genetic parameters of clinical mastitis, somatic cell score, and production in the first three lactations of Swedish Holstein cows. Journal of Dairy Science 87 3062–3070Google Scholar
Cassandro, M, Comin, A, Ojala, M, Dal Zotto, R, De Marchi, M, Gallo, L, Carnier, P & Bittante, G 2008 Genetic parameters of milk coagulation properties and their relationships with milk yield and quality traits in Italian Holstein cows. Journal of Dairy Science 91 371–376CrossRefGoogle ScholarPubMed
Cunha, RPL, Molina, LR, Carvalho, AU, Facury Filho, EJ, Ferreira, PM & Gentilini, MB 2008 Subclinical mastitis and the relationship between somatic cell count with number of lactations, production and chemical composition of milk. Arquivo Brasileiro de Medicina Veterinária e Zootecnia 60 19–24CrossRefGoogle Scholar
David, X, de Vries, A, Feddersen, E & Borchersen, S 2010 International genomic cooperation – European perspective. In Interbull Workshop on the Use of Genomic Information in Genetic evaluations, Interbull bulletin 41, Paris, FranceGoogle Scholar
Glantz, M, Devold, TG, Vegarud, GE, Lindmark Månsson, H, Stålhammar, H & Paulsson, M 2010 Importance of casein micelle size and milk composition for milk gelation. Journal of Dairy Science 93 1444–1451CrossRefGoogle ScholarPubMed
Glantz, M, Lindmark, Månsson, H, Stålhammar, H, Bårström, L-O, Fröjelin, M, Knutsson, A, Teluk, C & Paulsson, M 2009 Effects of animal selection on milk composition and processability. Journal of Dairy Science 92 4589–4603CrossRefGoogle ScholarPubMed
Glantz, M, Lindmark Månsson, H, Stålhammar, H & Paulsson, M 2011 Effect of polymorphisms in the leptin, leptin receptor, and acyl-coenzyme A:diacylglycerol acyltransferase 1 (DGAT1) genes and genetic polymorphism of milk proteins on cheese characteristics. Journal of Dairy Science 94 3295–3304CrossRefGoogle ScholarPubMed
Goddard, ME & Hayes, BJ 2007 Genomic selection. Journal of Animal Breeding and Genetics 124 323–330CrossRefGoogle ScholarPubMed
Hallén, E, Wedholm, A, Andrén, A & Lundén, A 2008 Effect of beta-casein, kappa-casein and beta-lactoglobulin genotypes on concentration of milk protein variants. Journal of Animal Breeding and Genetics 125 119–129Google Scholar
Harris, BL, Johnson, DL & Spelman, RJ 2008 Genomic selection in New Zealand and the implications for national genetic evaluation. In The Interbull Meeting Niagara Falls, NY, USGoogle Scholar
Hayes, BJ, Bowman, PJ, Chamberlain, AJ & Goddard, ME 2009 Genomic selection in dairy cattle: progress and challenges. Journal of Dairy Science 92 433–443CrossRefGoogle ScholarPubMed
Ikonen, T, Ahlfors, K, Kempe, R, Ojala, M & Ruottinen, O 1999 Genetic parameters for the milk coagulation properties and prevalence of noncoagulating milk in Finnish dairy cows. Journal of Dairy Science 82 205–214CrossRefGoogle ScholarPubMed
Ikonen, T, Morri, S, Tyrisevä, A-M, Ruottinen, O & Ojala, M 2004 Genetic and phenotypic correlations between milk coagulation properties, milk production traits, somatic cell count, casein content, and pH of milk. Journal of Dairy Science 87 458–467CrossRefGoogle Scholar
Jenness, R & Koops, J 1962 Preparation and properties of a salt solution which simulates milk ultrafiltrate. Netherlands Milk and Dairy Journal 16 153–164Google Scholar
Luan, T, Woolliams, JA, Lien, S, Kent, M, Svendsen, M & Meuwissen, THE 2009 The accuracy of genomic selection in Norwegian Red cattle assessed by cross-validation. Genetics 183 1119–1126CrossRefGoogle ScholarPubMed
Lucey, J & Kelly, J 1994 Cheese yield. Journal of the Society of Dairy Technology 47 1–14CrossRefGoogle Scholar
Lucey, JA, van Vliet, T, Grolle, K, Geurts, T & Walstra, P 1997 Properties of acid casein gels made by acidification with glucono-δ-lactone. 1. Rheological properties. International Dairy Journal 7 381–388Google Scholar
Mark, T & Sandoe, P 2010 Genomic dairy cattle breeding: risks and opportunities for cow welfare. Animal Welfare 19 113–121CrossRefGoogle Scholar
Meuwissen, THE, Hayes, BJ & Goddard, ME 2001 Prediction of total genetic value using genome-wide dense marker maps. Genetics 157 1819–1829CrossRefGoogle ScholarPubMed
Näslund, J, Fikse, WF, Pielberg, GR & Lundén, A 2008 Frequency and effect of the bovine acyl-CoA:diacylglycerol acyltransferase 1 (DGAT1) K232A polymorphism in Swedish dairy cattle. Journal of Dairy Science 91 2127–2134Google Scholar
Nixon, M, Bohmanova, J, Jamrozik, J, Schaeffer, LR, Hand, KJ & Miglior, F 2009 Genetic parameters of milking frequency and milk production traits in Canadian Holsteins milked by an automated milking system. Journal of Dairy Science 92 3422–3430Google Scholar
Schaeffer, LR 2006 Strategy for applying genome-wide selection in dairy cattle. Journal of Animal Breeding and Genetics 123 218–223CrossRefGoogle ScholarPubMed
Schennink, A, Heck, JML, Bovenhuis, H, Visker, MHPW, van Valenberg, HJF & van Arendonk, JAM 2008 Milk fatty acid unsaturation: genetic parameters and effects of stearoyl-CoA desaturase (SCD1) and acyl CoA: diacylglycerol acyltransferase 1 (DGAT1). Journal of Dairy Science 91 2135–2143Google Scholar
Schennink, A, Stoop, WM, Visker, MHPW, Heck, JML, Bovenhuis, H, van der Poel, JJ, van Valenberg, HJF & van Arendonk, JAM 2007 DGAT1 underlies large genetic variation in milk-fat composition of dairy cows. Animal Genetics 38 467–473CrossRefGoogle ScholarPubMed
Stoop, WM, Bovenhuis, H & van Arendonk, JAM 2007 Genetic parameters for milk urea nitrogen in relation to milk production traits. Journal of Dairy Science 90 1981–1986CrossRefGoogle ScholarPubMed
Stoop, WM, van Arendonk, JAM, Heck, JML, van Valenberg, HJF & Bovenhuis, H 2008 Genetic parameters for major milk fatty acids and milk production traits of Dutch Holstein-Friesians. Journal of Dairy Science 91 385–394Google Scholar
Su, G, Guldbrandtsen, B, Gregersen, VR & Lund, MS 2010 Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population. Journal of Dairy Science 93 1175–1183Google Scholar
Swedish Dairy Association 2009 Cattle Statistics. Stockholm, Sweden: Swedish Dairy AssociationGoogle Scholar
Walstra, P, Geurts, TJ, Noomen, A, Jellema, A & van Boekel, MAJS 1999 Dairy Technology: Principles of Milk Properties and Processes. New York, NY: US Marcel Dekker Inc.CrossRefGoogle Scholar
van Hulzen, KJE, Sprong, RC, van der Meer, R & van Arendonk, JAM 2009 Genetic and nongenetic variation in concentration of selenium, calcium, potassium, zinc, magnesium, and phosphorus in milk of Dutch Holstein-Friesian cows. Journal of Dairy Science 92 5754–5759Google Scholar
VanRaden, PM, Van Tassell, CP, Wiggans, GR, Sonstegard, TS, Schnabel, RD, Taylor, JF & Schenkel, FS 2009 Reliability of genomic predictions for North American Holstein bulls. Journal of Dairy Science 92 16–24Google Scholar
Wedholm, A, Hallén, E, Larsen, LB, Lindmark, Månsson, H, Karlsson, AH & Allmere, T 2006a Comparison of milk protein composition in a Swedish and a Danish dairy herd using reversed phase HPLC. Acta Agriculturae Scandinavica Section A 56 8–15Google Scholar
Wedholm, A, Larsen, LB, Lindmark, Månsson, H, Karlsson, AH & Andrén, A 2006b Effect of protein composition and the cheese-making properties of milk from individual dairy cows. Journal of Dairy Science 89 3296–3305Google Scholar