Please wait a minute...
Journal of Integrative Agriculture  2015, Vol. 14 Issue (1): 125-130    DOI: 10.1016/S2095-3119(14)60758-9
Animal Science · Veterinary Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Genetic parameters for somatic cell score and production traits in the first three lactations of Chinese Holstein cows
 ZHAO Fu-ping, GUO Gang,  WANG Ya-chun, GUO Xiang-yu, ZHANG Yuan, DU Li-xin
1、National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural
Sciences, Beijing 100193, P.R.China
2、Beijing Sanyuan Dairy Cattle Breeding Center, Beijing 100076, P.R.China
3、College of Animal Science and Technology, China Agricultural University, Beijing 100193, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  The objectives of this study were to estimate genetic parameters of lactation average somatic cell scores (LSCS) and examine genetic associations between LSCS and production traits in the first three lactations of Chinese Holstein cows using single-parity multi-trait animal model and multi-trait repeatability animal model. There were totally 273 605 lactation records of Chinese Holstein cows with first calving from 2001 to 2012. Heritability estimates for LSCS ranged from 0.144 to 0.187. Genetic correlations between LSCS and 305 days milk, protein percentage and fat percentage were –0.079, –0.082 and –0.135, respectively. Phenotypic correlation between LSCS and 305 days milk yield was negative (–0.103 to –0.190). Genetic correlation between 305 days milk and fat percentage or protein percentage was highly negative. Genetic correlation between milk fat percentage and milk protein percentage was highly favorable. Heritabilities of production traits decreased with increase of parity, whereas heritability of LSCS increased with increase of parity.

Abstract  The objectives of this study were to estimate genetic parameters of lactation average somatic cell scores (LSCS) and examine genetic associations between LSCS and production traits in the first three lactations of Chinese Holstein cows using single-parity multi-trait animal model and multi-trait repeatability animal model. There were totally 273 605 lactation records of Chinese Holstein cows with first calving from 2001 to 2012. Heritability estimates for LSCS ranged from 0.144 to 0.187. Genetic correlations between LSCS and 305 days milk, protein percentage and fat percentage were –0.079, –0.082 and –0.135, respectively. Phenotypic correlation between LSCS and 305 days milk yield was negative (–0.103 to –0.190). Genetic correlation between 305 days milk and fat percentage or protein percentage was highly negative. Genetic correlation between milk fat percentage and milk protein percentage was highly favorable. Heritabilities of production traits decreased with increase of parity, whereas heritability of LSCS increased with increase of parity.
Keywords:  somatic cell score       genetic parameters       Chinese Holstein       single-parity multi-trait animal model       multi-trait repeatability animal model  
Received: 16 December 2013   Accepted:
Fund: 

the fundings from the National Natural Science Foundation of China (31200927), the National Modern Agricultural Industry Technology Fund for Scientists in Sheep Industry System, China (CARS-39-04B), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2011BAD28B02, 2012BAD12B06) and the Chinese Academy of Agricultural Sciences Foundation (2012cj-2).

Corresponding Authors:  ZHANG Yuan,E-mail: changy@cau.edu.cn; DU Li-xin, E-mail: lxdu@263.net     E-mail:  lxdu@263.net
About author:  ZHAO Fu-ping, E-mail: zfpcau@gmail.com; GUO Gang,E-mail: guogang2180@126.com;* These authors contributed equally to this study.

Cite this article: 

ZHAO Fu-ping, GUO Gang, WANG Ya-chun, GUO Xiang-yu, ZHANG Yuan, DU Li-xin. 2015. Genetic parameters for somatic cell score and production traits in the first three lactations of Chinese Holstein cows. Journal of Integrative Agriculture, 14(1): 125-130.

AIPL (Animal Improvement Programs Laboratory). 2004.Genetic and phenotypic trends. [2012-12-01] http://aipl.arsusda.gov/dynamic/trend /current/trndx.html

Banos G, Shook G. 1990. Genotype by environment interactionand genetic correlations among parities for somaticcell count and milk yield. Journal of Dairy Science, 73,2563–2573.

Carlén E, Strandberg E, Roth A. 2004. Genetic parameters for clinical mastitis, somatic cell score, and production in thefirst three lactations of Swedish Holstein cows. Journal ofDairy Science, 87, 3062–3070.

Castillo-Juarez H, Oltenacu P, Cienfuegos-Rivas E. 2002.Genetic and phenotypic relationships among milk productionand composition traits in primiparous Holstein cows in twodifferent herd environments. Livestock Production Science,78, 223–231.

Da Y, Grossman M, Misztal I, Wiggans G. 1992. Estimationof genetic parameters for somatic cell score in Holsteins.Journal of Dairy Science, 75, 2265–2271.

Detilleux J, Leroy P, Volckaert D. 1997. Alternative useof somatic cell counts in genetic selection for mastitisresistance. Interbull Bulletin, 15, 34–44.

Haile-Mariam M, Goddard M, Bowman P. 2001. Estimates ofgenetic parameters for daily somatic cell count of Australiandairy cattle. Journal of Dairy Science, 84, 1255–1264.

Heringstad B, Klemetsdal G, Ruane J. 2000. Selection formastitis resistance in dairy cattle: A review with focus onthe situation in the Nordic countries. Livestock ProductionScience, 64, 95–106.

Madsen P, Jensen J. 2007. DMU: A user’s guide. A package foranalysing multivariate mixed models. Version 6, release 4.7.[2007-11-15] http://dmu.agrsci.dk/dmuv6_guide-R4-6-7.pdf

Miglior F, Gong W, Wang Y, Kistemaker G, SewalemA, Jamrozik J. 2009. Short communication: Geneticparameters of production traits in Chinese Holsteins usinga random regression test-day model. Journal of DairyScience, 92, 4697–4706.

Mrode R, Swanson G. 1996. Genetic and statistical propertiesof somatic cell count and its suitability as an indirect meansof reducing the incidence of mastitis in dairy cattle. AnimalBreeding Abstracts, 64, 847–857.

Mrode R, Swanson G. 2003. Estimation of genetic parametersfor somatic cell count in the first three lactations usingrandom regression. Livestock Production Science, 79,239–247.

Ødegård J, Klemetsdal G, Heringstad B. 2003. Variancecomponents and genetic trend for somatic cell countin Norwegian cattle. Livestock Production Science, 79,135–144.

Rupp R, Boichard D. 1999. Genetic parameters for clinicalmastitis, somatic cell score, production, udder type traits,and milking ease in first lactation Holsteins. Journal of DairyScience, 82, 2198–2204.

Søndergaard E, Sørensen M, Mao I L, Jensen J. 2002. Geneticparameters of production, feed intake, body weight, bodycomposition, and udder health in lactating dairy cows.Livestock Production Science, 77, 23–34.

SAS Institute. 2004. STAT 9.1 User’s Guide. SAS Publishing,Cary, North Carolina.

Seegers J, Fourichon C, Beaudeau F, Bareille N. 1997.Mastitis control programs and related costs in Frenchdairy herds. In: Proceedings of 48th Annual Meeting ofthe European Association of Animal Production. Vienna,Austria Wageningen Pers, Wageningen, The Netherlands.pp. 143–146.

Shook G, Schutz M. 1994. Selection on somatic cell score toimprove resistance to mastitis in the United States. Journalof Dairy Science, 77, 648–658.

Weller J, Ezra E, Leitner G. 2006. Genetic analysis ofpersistency in the Israeli Holstein population by the multitraitanimal model. Journal of Dairy Science, 89, 2738–2746.
[1] QIN Chun-hua, CHU Qin, CHU Gui-yan, ZHANG Yi, ZHANG Qin, ZHANG Sheng-li , SUN Dong-xiao. Mapping QTLs Affecting Economic Traits on BTA3 in Chinese Holstein with Microsatellite Markers[J]. >Journal of Integrative Agriculture, 2014, 13(9): 1999-2004.
[2] LIU Rui, SUN Dong-xiao, WANG Ya-chun, YU Ying, ZHANG Yi, CHEN Hui-yong, ZHANG Qin, ZHANG Sheng-li , ZHANG Yuan. Fine Mapping QTLs Affecting Milk Production Traits on BTA6 in Chinese Holstein with SNP Markers[J]. >Journal of Integrative Agriculture, 2013, 12(1): 110-117.
[3] CHEN Jun, WANG Ya-chun, ZHANG Yi, SUN Dong-xiao, ZHANG Sheng-li , ZHANG Yuan . Evaluation of Breeding Programs Combining Genomic Information in Chinese Holstein[J]. >Journal of Integrative Agriculture, 2011, 10(12): 1949-1957.
No Suggested Reading articles found!