Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-23T23:35:36.216Z Has data issue: false hasContentIssue false
  • English
  • Français

Heritability and repeatability of milk lactose and its relationships with traditional milk traits, somatic cell score and freezing point in Holstein cows

Published online by Cambridge University Press:  22 August 2018

A. Costa Open the ORCID record for A. Costa [Opens in a new window] ,
N. Lopez-Villalobos ,
G. Visentin ,
M. De Marchi ,
M. Cassandro  and
M. Penasa
A. Costa*
Affiliation:
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro, Padua, Italy
N. Lopez-Villalobos
Affiliation:
School of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand
G. Visentin
Affiliation:
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro, Padua, Italy
M. De Marchi
Affiliation:
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro, Padua, Italy
M. Cassandro
Affiliation:
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro, Padua, Italy
M. Penasa
Affiliation:
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro, Padua, Italy
*
†E-mail: [email protected]
Get access

Abstract

Lactose percentage (LP) in milk is currently determined in most herd-testing schemes, and globally, it is usually routinely recorded in the framework of the official milk recording procedures. However, few studies have investigated the phenotypic and genetic variability of this component. Data used in the present paper consisted of 59 811 test-day records from 4355 Holstein cows in 266 herds. Heritabilities of LP and lactose yield (LY) were estimated through single-trait repeatability animal models, whereas genetic and phenotypic correlations of LP and LY with milk composition and production traits, somatic cell score and milk freezing point were estimated using bivariate models. Fixed effects included in the analyses were herd-test-date, season of calving, parity, stage of lactation and the interaction between parity and stage of lactation. Random effects were animal additive genetic, within and across lactation permanent environment and the residual. Lactation curves of LP and LY increased from parturition to the peak of lactation and decreased thereafter, mirroring the typical curve of milk yield. Lactose percentage was greater in first- than later-parity cows. Heritabilities of LP and LY were 0.43±0.03 and 0.14±0.02, respectively, and LP and protein percentage were the most repeatable traits. Genetic correlations (ra) of LP with somatic cell score, LY and milk freezing point were −0.22±0.08, 0.28±0.08 and −0.46±0.05, respectively. Genetic relationships of LY with milk yield (ra=0.97±0.00), fat percentage (ra=−0.71±0.06), protein percentage (ra=−0.57±0.06) and protein yield (ra=0.64±0.06) were moderate to strong. Results suggest that milk LP could be considered in breeding strategies to accelerate the gain of correlated low heritable traits. Further research is needed to evaluate the feasibility of including LP in the selection index of Italian Holstein population to address country-specific needs and market demands.

Keywords

bovinelactosemilk compositiongenetic parametercorrelation
Type
Research Article
Information
animal , Volume 13 , Issue 5 , May 2019 , pp. 909 - 916
Copyright
© The Animal Consortium 2018 

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.)

Footnotes

a

Present address: Associazione Nazionale Allevatori Frisona Italiana (ANAFI), Via Bergamo 292, 26100 Cremona, Italy.

References

Alessio, DRM, Neto, AT, Velho, JP, Pereira, IB, Miquelluti, DJ, Knob, DA and da Silva, CG 2016. Multivariate analysis of lactose content in milk of Holstein and Jersey cows. Semina: Ciências Agrárias 37, 2641–2652.Google Scholar
Berglund, I, Pettersson, G, Östensson, K and Svennersten-Sjaunja, K 2007. Quarter milking for improved detection of increased SCC. Reproduction in Domestic Animals 432, 427–432.10.1111/j.1439-0531.2006.00803.xGoogle Scholar
Bjerg, M, Rasmussen, MD and Nielsen, MO 2005. Changes in freezing point of blood and milk during dehydration and rehydration in lactating cows. Journal of Dairy Science 88, 3174–3185.10.3168/jds.S0022-0302(05)73001-0Google Scholar
Blum, S, Heller, ED, Krifucks, O, Sela, S, Hammer-Muntz, O and Leitner, G 2008. Identification of a bovine mastitis Escherichia coli subset. Veterinary Microbiology 132, 135–148.10.1016/j.vetmic.2008.05.012Google Scholar
CLAL 2017. Italy: import/export summary. Retrieved on 24 August 2017 from http://www.clal.it/en/?section=riepilogo_istat.Google Scholar
Costa, A, De Marchi, M, Cassandro, M and Penasa, M 2017. Phenotypic and genetic aspects of milk freezing point in primiparous Holstein Friesian cows. Agriculturae Conspectus Scientificus 82, 175–178.Google Scholar
Costa, A, De Marchi, M, Cassandro, M, Visentin, G, Lopez-Villalobos, N and Penasa, M 2018. Genetic association between milk lactose, freezing point and somatic cell score in Italian Holstein cows. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production, 11–16 February 2018, Auckland, New Zealand.Google Scholar
Fox, PF, Uniacke-Lowe, T, McSweeney, PLH and O’Mahoni, JA 2015. Dairy chemistry and biochemistry. Springer International Publishing, Cham, Switzerland.10.1007/978-3-319-14892-2Google Scholar
Gillon, A, Bastin, C, Soyeurt, H and Gengler, N 2010. Genetic parameters of mastitis-correlated milk components in first parity dairy cows. In Proceedings of the 9th World Congress on Genetics Applied to Livestock Production, 1–6 August 2010, Leipzig, Germany.Google Scholar
Gilmour, AR, Gogel, BJ, Cullis, BR, Welham, SJ and Thompson, R 2015. ASReml user guide. VSN International Ltd, Hemel Hempstead, UK.Google Scholar
Glantz, M, Lindmark-Månsson, H, Paulsson, M and Stålhammar, H 2012. Genomic selection in relation to bovine milk composition and processability. Journal of Dairy Research 79, 53–59.10.1017/S002202991100077XGoogle Scholar
Haile-Mariam, M and Pryce, JE 2017. Genetic parameters for lactose and its correlation with other milk production traits and fitness traits in pasture-based production systems. Journal of Dairy Science 100, 3754–3766.10.3168/jds.2016-11952Google Scholar
Hanuš, O, Frelich, J, Tomáška, M, Vylětelova, M, Genčurová, V, Kučera, J and Třináctý., J 2010. The analysis of relationships between chemical composition, physical, technological and health indicators and freezing point in raw cow milk. Czech Journal of Animal Science 55, 11–29.10.17221/1708-CJASGoogle Scholar
Henao-Velásquez, AF, Múnera-Bedoya, OD, Herrera, AC, Agudelo-Trujillo, JH and Cerón-Muñoz, MF 2014. Lactose and milk urea nitrogen: fluctuations during lactation in Holstein cows. Revista Brasileira de Zootecnia 43, 479–484.10.1590/S1516-35982014000900004Google Scholar
International Committee for Animal Recording (ICAR) 2016. International agreement on recording practices. Section 11 – Icar rules, standards and recommendations for testing, approval and checking of milk recording devices. Retrieved on 10 July 2017 from www.icar.org/wp-content/uploads/2016/03/Guidelines-Edition-2016.pdf.Google Scholar
ISO 22662 2007. Milk and milk products – determination of lactose content by high-performance liquid chromatography (reference method). ISO, Geneva, Switzerland.Google Scholar
ISO 9622 2013. Milk and liquid milk products – guidelines for the application of mid-infrared spectrometry. ISO, Geneva, Switzerland.Google Scholar
Kedzierska-Matysek, M, Litwińczuk, Z, Florek, M and Barłowska, J 2011. The effects of breed and other factors on the composition and freezing point of cow’s milk in Poland. International Journal of Dairy Technology 64, 336–342.10.1111/j.1471-0307.2011.00682.xGoogle Scholar
Larsen, T and Moyes, KM 2015. Are free glucose and glucose-6-phosphate in milk indicators of specific physiological states in the cow? Animal 9, 86–93.10.1017/S1751731114002043Google Scholar
Leitner, G, Merin, U and Silanikove, N 2011. Effects of glandular bacterial infection and stage of lactation on milk clotting parameters: comparison among cows, goats and sheep. International Dairy Journal 21, 279–285.10.1016/j.idairyj.2010.11.013Google Scholar
Lindmark-Månsson, H, Bränning, C, Aldén, G and Paulsson, M 2006. Relationship between somatic cell count, individual leukocyte populations and milk components in bovine udder quarter milk. International Dairy Journal 16, 717–727.10.1016/j.idairyj.2005.07.003Google Scholar
Løvendahl, P and Weisbjerg, MR 2017. Lactose in milk – how can lactose concentration data be beneficial in management and breeding? In Proceedings of the 41st ICAR Conference, 14–16 June 2017, Edinburgh, UK.Google Scholar
Miglior, F, Sewalem, A, Jamrozik, J, Lefebvre, DM and Moore, RK 2006. Analysis of milk urea nitrogen and lactose and their effect on longevity in Canadian dairy cattle. Journal of Dairy Science 89, 4886–4894.10.3168/jds.S0022-0302(06)72537-1Google Scholar
Miglior, F, Sewalem, A, Jamrozik, J, Bohmanova, J, Lefebvre, DM and Moore, RK 2007. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. Journal of Dairy Science 90, 2468–2479.10.3168/jds.2006-487Google Scholar
Oltenacu, PA and Broom, DM 2010. The impact of genetic selection for increased milk yield on the welfare of dairy cows. Animal Welfare 19, 39–49.Google Scholar
Penasa, M, Tiezzi, F, Gottardo, P, Cassandro, M and De Marchi, M 2015. Genetics of milk fatty acid groups predicted during routine data recording in Holstein dairy cattle. Livestock Science 173, 9–13.10.1016/j.livsci.2014.12.014Google Scholar
Petrini, J, Iung, LHS, Rodriguez, MAP, Salvian, M, Pértille, F, Rovadoscki, GA, Cassoli, LD, Coutinho, LL, Machado, PF, Wiggans, GR and Mourão, GB 2016. Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions. Journal of Animal Breeding and Genetics 133, 384–395.10.1111/jbg.12205Google Scholar
Scarso, S, McParland, S, Visentin, G, Berry, DP, McDermott, A and De Marchi, M 2017. Genetic and nongenetic factors associated with milk color in dairy cows. Journal of Dairy Science 100, 7345–7361.10.3168/jds.2016-11683Google Scholar
Sneddon, NW, Lopez-Villalobos, N, Davis, SR, Hickson, RE and Shalloo, L 2015. Genetic parameters for milk components including lactose from test day records in the New Zealand dairy herd. New Zealand Journal of Agricultural Research 58, 97–107.10.1080/00288233.2014.978482Google Scholar
Sneddon, NW, Lopez-Villalobos, N, Hickson, RE, Davis, SR, Geary, U, Garrick, DJ and Shalloo, L 2016. Dairy product production and lactose demand in New Zealand and Ireland under different simulated milk product–processing portfolios. Irish Journal of Agricultural and Food Research 55, 126–135.10.1515/ijafr-2016-0012Google Scholar
Tiezzi, F, Pretto, D, De Marchi, M, Penasa, M and Cassandro, M 2013. Heritability and repeatability of milk coagulation properties predicted by mid-infrared spectroscopy during routine data recording, and their relationships with milk yield and quality traits. Animal 7, 1592–1599.10.1017/S1751731113001195Google Scholar
Toffanin, V, Penasa, M, McParland, S, Berry, DP, Cassandro, M and De Marchi, M 2015. Genetic parameters for milk mineral content and acidity predicted by mid-infrared spectroscopy in Holstein-Friesian cows. Animal 9, 775–780.10.1017/S1751731114003255Google Scholar
Vilas Boas, DF, Vercesi Filho, AE, Pereira, MA, Roma Junior, LC and El Faro, L 2017. Association between electrical conductivity and milk production traits in dairy Gyr cows. Journal of Applied Animal Research 45, 227–233.10.1080/09712119.2016.1150849Google Scholar
Visentin, G, McParland, S, De Marchi, M, McDermott, A, Fenelon, MA, Penasa, M and Berry, DP 2017. Processing characteristics of dairy cow milk are moderately heritable. Journal of Dairy Science 100, 6343–6355.10.3168/jds.2017-12642Google Scholar
World Health Organization (WHO) and Food and Agriculture Organization (FAO) of the United Nations 2011. Codex alimentarius: milk and milk products, 2nd edition. Retrieved on 26 May 2017 from http://www.fao.org/docrep/015/i2085e/i2085e00.pdf.Google Scholar