DOI QR코드

DOI QR Code

Serum biochemical profiles of repeat breeder holstein friesian cows

  • Jung, Moo Young (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Kang, Seogjin (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Lim, Dong-Hyeon (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Tae-Il (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Kyoungseok (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Ha, Seungmin (Department of Animal Resource Development, Dairy Science Division, National Institute of Animal Science, Rural Development Administration)
  • Received : 2021.12.12
  • Accepted : 2021.12.27
  • Published : 2021.12.30

Abstract

The fertility of dairy cows has been declining worldwide. The number of services per conception has increased, and repeat breeder (RB) cows are considered important in the dairy industry. However, there has been little research on RB cows in Korea. The objective of this study was to investigate the relationship between serum biochemical profiles and RB Holstein cattle in Korea and compare the results with those of studies conducted abroad. In addition, we investigated hidden factors that are needed for RB cattle to become pregnant. Overall, 34 Korean Holstein Friesian cows were divided into three groups: pregnant with normal cycling (PNC), pregnant with repeat breeder (PRB), and non-pregnant with repeat breeder (NRB). Blood samples were collected from the jugular vein, and serum parameters (ALT, AST, ALP, GGT, LD, CK, TP, ALB, GLOB, TBIL, BUN, CRE, GLU, TC, TG, NEFA, CA, MG, and IP) were analyzed. GGT levels were significantly different among groups (P=0.01). The concentration of GGT was the highest in the NRB and the lowest in the PNC. In contrast to the findings of other studies, there were no differences in GLU, TP, TC, and BUN levels. This study is the first to investigate serum biochemistry in RB cattle and provides results that differ from those of previous studies; these findings would help establish a novel approach to improve fertility of RB cattle.

Keywords

Acknowledgement

We thanks to the technicians of laboratory, Yeongso Hong, Jihyeon Lee and Nuri Baek. We also extend our thanks to the Sanghoon Park, Jeongju Kim and SeungHak Jung, who helped us collect samples. This work was conducted with the support of "Study on developing behavioral and reproductive indices for evaluation of lactating cow's heat stress (Project No. PJ01429503)" project of the National Institute of Animal Science, Rural Development Administration, Republic of Korea.

References

  1. Ahmed ME, Ahmed FO, Frah EAM, Elfaki I. 2017. Blood biochemical profile of Sudanese crossbred repeat breeder cows. Afr J Biotechnol 16: 366-370. https://doi.org/10.5897/AJB2016.15372
  2. Ambrose JD, Drost M, Monson RL, Rutledge JJ, Leibfried-Rutledge ML, Thatcher MJ, Kassa T, Binelli M, Hansen PJ, Chenoweth PJ, Thatcher WW. 1999. Efficacy of Timed Embryo Transfer with Fresh and Frozen In Vitro Produced Embryos to Increase Pregnancy Rates in Heat-Stressed Dairy Cattle1. J Dairy Sci 82: 2369-2376. https://doi.org/10.3168/jds.S0022-0302(99)75487-1
  3. Amle M, Patodkar V, Shelar R, Birade H. 2014. Serum biochemical levels of repeat breeder cross bred cows under rural condition of Satara District of Maharashtra. Int. J. Adv. Vet. Sci. Technol 3: 109-113. https://doi.org/10.23953/cloud.ijavst.193
  4. Bage R, Gustafsson H, Larsson B, Forsberg M, Rodriguez-Martinez H. 2002. Repeat breeding in dairy heifers: follicular dynamics and estrous cycle characteristics in relation to sexual hormone patterns. Theriogenology 57: 2257-2269. https://doi.org/10.1016/S0093-691X(02)00840-3
  5. Bicalho M, Marques E, Gilbert R, Bicalho R. 2017. The association of plasma glucose, BHBA, and NEFA with postpartum uterine diseases, fertility, and milk production of Holstein dairy cows. Theriogenology 88: 270-282. https://doi.org/10.1016/j.theriogenology.2016.09.036
  6. Bonneville-Hebert A, Bouchard E, Tremblay DD, Lefebvre R. 2011. Effect of reproductive disorders and parity on repeat breeder status and culling of dairy cows in Quebec. Can J Vet Res 75: 147-151.
  7. Butler W, Calaman J, Beam S. 1996. Plasma and milk urea nitrogen in relation to pregnancy rate in lactating dairy cattle. J Anim Sci 74: 858-865. https://doi.org/10.2527/1996.744858x
  8. Dawuda P, Scaramuzzi R, Leese H, Hall C, Peters A, Drew S, Wathes D. 2002. Effect of timing of urea feeding on the yield and quality of embryos in lactating dairy cows. Theriogenology 58: 1443-1455. https://doi.org/10.1016/S0093-691X(02)00973-1
  9. Dochi O, Takahashi K, Hirai T, Hayakawa H, Tanisawa M, Yamamoto Y, Koyama H. 2008. The use of embryo transfer to produce pregnancies in repeat-breeding dairy cattle. Theriogenology 69: 124-128. https://doi.org/10.1016/j.theriogenology.2007.09.001
  10. Dubuc J, Duffield T, Leslie K, Walton J, LeBlanc S. 2012. Risk factors and effects of postpartum anovulation in dairy cows. J Dairy Sci 95: 1845-1854. https://doi.org/10.3168/jds.2011-4781
  11. Funeshima N, Miura R, Katoh T, Yaginuma H, Kitou T, Yoshimura I, Konda K, Hamano S, Shirasuna K. 2021. Metabolomic profiles of plasma and uterine luminal fluids from healthy and repeat breeder Holstein cows. BMC Veterinary Research 17: 54. https://doi.org/10.1186/s12917-021-02755-7
  12. Garcia-Ispierto I, Lopez-Gatius F, Santolaria P, Yaniz JL, Nogareda C, Lopez-Bejar M. 2007. Factors affecting the fertility of high producing dairy herds in northeastern Spain. Theriogenology 67: 632-638. https://doi.org/10.1016/j.theriogenology.2006.09.038
  13. Garverick H, Harris M, Vogel-Bluel R, Sampson J, Bader J, Lamberson W, Spain J, Lucy M, Youngquist R. 2013. Concentrations of nonesterified fatty acids and glucose in blood of periparturient dairy cows are indicative of pregnancy success at first insemination. J Dairy Sci 96: 181-188. https://doi.org/10.3168/jds.2012-5619
  14. Grala TM, Kuhn-Sherlock B, Roche JR, Jordan OM, Phyn CVC, Burke CR, Meier S. 2021. Changes in plasma electrolytes, minerals, and hepatic markers of health across the transition period in dairy cows divergent in genetic merit for fertility traits and postpartum anovulatory intervals. J Dairy Sci. doi:10.3168/jds.2021-20783.
  15. Guzel S, Tanriverdi M. 2014. Comparison of serum leptin, glucose, total cholesterol and total protein levels in fertile and repeat breeder cows. Rev Bras Zootec 43: 643-647. https://doi.org/10.1590/S1516-35982014001200003
  16. Jeong J, Choi I, Kang H, Hur T, Jung Y, Kim I. 2015. Relationship between serum metabolites, body condition, peri-and postpartum health and resumption of postpartum cyclicity in dairy cows. Livest Sci 181: 31-37. https://doi.org/10.1016/j.livsci.2015.09.022
  17. Katagiri S, Moriyoshi M. 2013. Alteration of the endometrial EGF profile as a potential mechanism connecting the alterations in the ovarian steroid hormone profile to embryonic loss in repeat breeders and high-producing cows. Journal of Reproduction and Development 59: 415-420. https://doi.org/10.1262/jrd.2013-048
  18. Kurykin J, Waldmann A, Tiirats T, Kaart T, Jaakma U. 2011. Morphological quality of oocytes and blood plasma metabolites in repeat breeding and early lactation dairy cows. Reprod Domest Anim 46: 253-260. https://doi.org/10.1111/j.1439-0531.2010.01652.x
  19. Lucy MC. 2001. Reproductive Loss in High-Producing Dairy Cattle: Where Will It End? J Dairy Sci 84: 1277-1293. https://doi.org/10.3168/jds.S0022-0302(01)70158-0
  20. Meissonnier E, Rousseau P. 1976. les tests enzymatiques dans l'exploration fonctionnelle du foie chez les bovins, In: Reports and Abstracts of the 9th fnternational Congress of diseases of cattle, pp. 633-636.
  21. Omer F. 2008. THE EFFICACY OF INTRA-UTERINE INFUSION OF IODINE COMPOUNDS ON THE REPRODUCTIVE EFFICIENCY OF POSTPARTUM AND REPEAT BREEDER CROSS-BRED DAIRY COWS IN THE SUDAN.
  22. Rajala-Schultz P, Saville W, Frazer G, Wittum T. 2001. Association between milk urea nitrogen and fertility in Ohio dairy cows. J Dairy Sci 84: 482-489. https://doi.org/10.3168/jds.S0022-0302(01)74498-0
  23. Sabasthin A, Kumar VG, Nandi S, Murthy VC. 2012. Blood haematological and biochemical parameters in normal cycling, pregnant and repeat breeding buffaloes (Bubalus bubalis) maintained in isothermic and isonutritional conditions. Asian Pac J Reprod 1: 117-119. https://doi.org/10.1016/S2305-0500(13)60061-5
  24. Samarutel J, Ling K, Waldmann A, Jaakson H, Kaart T, Leesmae A. 2008. Field trial on progesterone cycles, metabolic profiles, body condition score and their relation to fertility in Estonian Holstein dairy cows. Reprod Domest Anim 43: 457-463. https://doi.org/10.1111/j.1439-0531.2007.00935.x
  25. Shehab-El-Deen MAM, Fadel MS, Van Soom A, Saleh SY, Maes D, Leroy JL. 2010. Circadian rhythm of metabolic changes associated with summer heat stress in high-producing dairy cattle. Trop Anim Health Prod 42: 1119-1125. https://doi.org/10.1007/s11250-010-9534-1
  26. Sinclair K, Kuran M, Gebbie F, Webb R, McEvoy T. 2000. Nitrogen metabolism and fertility in cattle: II. Development of oocytes recovered from heifers offered diets differing in their rate of nitrogen release in the rumen. J Anim Sci 78: 2670-2680. https://doi.org/10.2527/2000.78102670x
  27. Westwood C, Lean I, Garvin J. 2002. Factors influencing fertility of Holstein dairy cows: a multivariate description. J Dairy Sci 85: 3225-3237. https://doi.org/10.3168/jds.S0022-0302(02)74411-1
  28. Yadav NK, Lohan JS, Singh B, Chand D. 1995. Studies on some serum constituents in anoestrous buffaloes. Indian J Anim Res 29: 85-88.
  29. Yang BK, Kim JB, Cheong HT, Park CK, Kim CI, Hwang HS, Kim HK. 1999. Analysis of Blood Chemical Values and Hormone of Repeat Breeder and Reproductive Disorder in Hanwoo. Reprod Dev Biol 23: 175-180.