Browse > Article
http://dx.doi.org/10.7465/jkdi.2017.28.6.1349

Genetic parameters of milk β-hydroxybutyrate acid, milk acetone, milk yield, and energy-corrected milk for Holstein dairy cattle in Korea  

Lee, SeokHyun (National Institute of Animal Science, RDA)
Choi, Sungwoon (Chonbuk National University)
Dang, Chang-Gwon (National Institute of Animal Science, RDA)
Mahboob, Alarn (National Institute of Animal Science, RDA)
Do, ChangHee (Chungnam National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.6, 2017 , pp. 1349-1360 More about this Journal
Abstract
This study was conducted to estimate the genetic parameters for common ketosis indicators (${\beta}$-hydroxybutyrate acid, BHBA; milk acetone), feed intake efficiency indicator (energy-corrected milk, ECM), and milk yield (MY) in Korean Holstein. A total of 75,072 monthly test-day records from 14,397 first parity cows were collected, between 2012 and 2016, from Korea animal improvement association enrolled farms. Variance components were estimated using a multiple trait random regression model. The heritability of BHBA and acetone levels ranged from 0.06 to 0.15 at different DIMs. The phenotypic and genetic correlations between BHBA and acetone were between 0.73 and 0.90, and between 0.93 and 0.98, respectively. The phenotypic correlation between BHBA and MY, between acetone and MY, between BHBA and ECM, and between acetone and ECM ranged from -0.18 to -0.05, -0.23 to -0.05, 0 to 0.10, and -0.09 to 0.01, respectively. Genetic correlation estimates between BHBA and MY, between acetone and MY, between BHBA and ECM, and between acetone and ECM also ranged from -0.55 to 0.05, -0.62 to -0.04, -0.10 to 0.11, and -0.20 to 0.00, respectively. We hope that these results would greatly assist in the improvement of ketosis disease in the local Holsteins.
Keywords
Acetone; ${\beta}$-hydroxybutyratc acid; genetic parameter; ketosis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Adams, H. (2016). Measuring the prevalence and impact of subclinical ketosis on lactation performance in US dairy herds. 2016 Joint Annual Meeting, Salt Lake City, UTAH.
2 Andersson, L. (1988). Subclinical ketosis in dairy cows. Veterinary Clinics of North America: Food Animal Practice, 4, 233-251.   DOI
3 Baird, G. D. (1982). Primary ketosis in the high-producing dairy cow: Clinical and subclinical disorders, treatment, prevention, and outlook. Journal of Dairy Science, 65, 1-10.   DOI
4 Cho, K.-H., Cho, C.-I., Lee, J.-H. and Park, K.-D. (2015). (Co)heritability of acetone and ${\beta}$-hydroxybutyrate concentrations in raw milk related to ketosis in Holsteins. Journal of the Korean Data & Information Science Society, 26, 915-921.   DOI
5 Cho, K.-H., Cho, C.-I., Lee, J.-H. and Park, K.-D. (2015). Environmental factors influencing acetone and ${\beta}$-hydroxybutyrate acid contents in raw milk of Holstein dairy cattle. Journal of the Korean Data & Information Science Society, 26, 687-693.   DOI
6 Duffield, T. F., Kelton, D. F., Leslie, K. E., Lissemore, K. D. and Lumsden, J. H. (1997). Use of test day milk fat and milk protein to detect subclinical ketosis in dairy cattle in Ontario. The Canadian Veterinary Journal, 38, 713.
7 Enjalbert, F., Nicot, M., Bayourthe, C. and Moncoulon, R. (2001). Ketone bodies in milk and blood of dairy cows: Relationship between concentrations and utilization for detection of subclinical ketosis. Journal of Dairy Science, 84, 583-589.   DOI
8 Geishauser, T., Leslie, K., Tenhag, J. and Bashiri, A. (2000). Evaluation of eight cow-side ketone tests in milk for detection of subclinical ketosis in dairy cows. Journal of Dairy Science, 83, 296-299.   DOI
9 Koeck, A., Jamrozik, J., Schenkel, F. S., Moore, R. K., Lefebvre, D. M., Kelton, D. F., Miglior, F. (2014). Genetic analysis of milk ${\beta}$-hydroxybutyrate and its association with fat-to-protein ratio, body condition score, clinical ketosis, and displaced abomasum in early first lactation of Canadian Holsteins. Journal of Dairy Science, 97, 7286-7292.   DOI
10 Gustafsson, A., and Emanuelson, U. (1996). Milk acetone concentration as an indicator of hyperketonaemia in dairy cows: the critical value revised. Animal Science, 63, 183-188.   DOI
11 Lee, S., Cho, K.-H., Park, M.-N., Choi, T.-J., Kim, S.-D. and Do, C.-H. (2016). Genetic parameters of milk ${\beta}$-hydroxybutyric acid and acetone and their genetic association with milk production traits of Holstein cattle. Asian-Australasian Journal of Animal Sciences, 29, 1530.   DOI
12 Sakha, M., Ameri, M. and Rohbakhsh, A. (2006). Changes in blood ${\beta}$-hydroxybutyrate and glucose concentrations during dry and lactation periods in Iranian Holstein cows. Comparative Clinical Pathology, 15, 221-226.   DOI
13 Vosman, J., De Jong, G., Eding, H. and Knijn, H. (2015). Genetic evaluation for ketosis in the Netherlands based on FTIR measurements. Interbull Bulletin, 49.
14 Wood, G., Boettcher, P., Kelton, D. and Jansen, G. (2004). Phenotypic and genetic influences on test-day measures of acetone concentration in milk. Journal of Dairy Science, 87, 1108-1114.   DOI
15 Mattalia, S. (2016). GenoSante: Improving productive health of dairy cows by genomic selection and management: A first step with ketosis. Interbull Bulletin.
16 McArt, J., Nydam, D. and Oetzel, G. (2012). Epidemiology of subclinical ketosis in early lactation dairy cattle. Journal of Dairy Science, 95, 5056-5066.   DOI
17 Meyer, K. (2007). WOMBAT-A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University Science B, 8, 815-821.   DOI
18 Nielsen, N. I., Friggens, N. C., Chagunda, M. G. and Ingvartsen, K. L. (2005). Predicting risk of ketosis in dairy cows using in-line measurements of ${\beta}$-hydroxybutyrate: A biological model. Journal of Dairy Science, 88, 2441-2453.   DOI
19 Oetzel, G. R. (2007). Herd-level ketosis-diagnosis and risk factors. Proceedings of the 40th Annual Conference of Bovine Practitioners, Vancouver, Canada.
20 Shirley, J. (2006). Feed efficiency is an important management tool for dairy producers. Proc. High Plains Dairy Conf. Amarillo TX. Texas A & M University, College Station, 63-67.
21 Thirunavukkarasu, M., Kathiravan, G., Kalaikannan, A. and Jebarani, W. (2010). Quantifying economic losses due to milk fever in dairy farms. Agricultural Economics Research Review, 23, 77-81.
22 Van der Drift, S., Van Hulzen, K. J. E., Teweldemedhn, T. G., Jorritsma, R., Nielen, M. and Heuven, H. C. (2012). Genetic and nongenetic variation in plasma and milk ${\beta}$-hydroxybutyrate and milk acetone concentrations of early-lactation dairy cows. Journal of Dairy Science, 95, 6781-6787.   DOI