DOI QR코드

DOI QR Code

Reproductive management of dairy cows: an existing scenario from urban farming system in Bangladesh

  • Nayeema Khan Sima (Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University) ;
  • Munni Akter (Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University) ;
  • M. Nazmul Hoque (Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University) ;
  • Md. Taimur Islam (Department of Pathobiology, Bangabandhu Sheikh Mujibur Rahman Agricultural University) ;
  • Ziban Chandra Das (Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University) ;
  • Anup Kumar Talukder (Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University)
  • 투고 : 2023.08.20
  • 심사 : 2023.09.11
  • 발행 : 2023.12.31

초록

Background: Reproductive management practices play crucial roles to maximize the reproductive performance of cows, and thus contribute to farm profitability. We aimed to assess the reproductive management of cows currently practiced in the dairy farms in an urban farming system. Methods: A total of 62 dairy farms were randomly selected considering all size of farms such as small (1-5 cattle), medium (6-20 cattle) and large farms (> 20 cattle) from selected areas of Dhaka city in Bangladesh. The reproductive management-related parameters viz. estrus detection, breeding method, pregnancy diagnosis, dry cow and parturition management, vaccination and treatment of reproductive problems etc. were obtained in a pre-defined questionnaire during the farm visit. Results: The visual observation method was only used (100.0%; 62/62) for estrus detection irrespective of size of the farms; while farmers observed cows for estrus 4-5 times a day, but only for 20-60 seconds each time. Regardless of farm size, 89.0% (55/62) farms used artificial insemination (AI) for breeding the cows. Intriguingly, all farms (100.0%) routinely checked the cows for pregnancy at 35-40 days post-breeding using rectal palpation technique by registered veterinarian. However, only 6.5% (4/62) farms practiced dry cow management. Notably, all farms (100.0%) provided nutritional supplements (Vit D, Ca and P) during late gestation. However, proper hygiene and cleanliness during parturition was not practiced in 77.4% (48/62) farms; even though 96.7% (60/62) farms treated cows by registered veterinarian for parturition-related problems. Conclusions: While farmers used AI service for breeding and timely check their cows for pregnancy; however, they need to increase observation time (30 minutes/ observation, twice in a day: early morning and early night) for estrus detection, consider dry cow management and ensure hygienic parturition for maximizing production.

키워드

과제정보

The authors would like to thank the owners of the dairy farms in the study area for providing the data to complete this study.

참고문헌

  1. Beever DE. 2006. The impact of controlled nutrition during the dry period on dairy cow health, fertility and performance. Anim. Reprod. Sci. 96:212-226. https://doi.org/10.1016/j.anireprosci.2006.08.002
  2. Bekele N, Addis M, Abdela N, Ahmed WM. 2016. Pregnancy diagnosis in cattle for fertility management: a review. Glob. Vet. 16:355-364.
  3. Burns BM, Fordyce G, Holroyd RG. 2010. A review of factors that impact on the capacity of beef cattle females to conceive, maintain a pregnancy and wean a calf-Implications for reproductive efficiency in northern Australia. Anim. Reprod. Sci. 122:1-22. https://doi.org/10.1016/j.anireprosci.2010.04.010
  4. Butler WR. 2005. Nutrition, negative energy balance and fertility in the postpartum dairy cow. Cattle Pract. 13:13-18.
  5. Chen J, Soede NM, van Dorland HA, Remmelink GJ, Bruckmaier RM, Kemp B, van Knegsel AT. 2015. Relationship between metabolism and ovarian activity in dairy cows with different dry period lengths. Theriogenology 84:1387-1396. https://doi.org/10.1016/j.theriogenology.2015.07.025
  6. Donaldson A. 2008. Biosecurity after the event: risk politics and animal disease. Environ. Plan. A 40:1552-1567. https://doi.org/10.1068/a4056
  7. Dyer TG. 2009. Reproductive Management of Commercial Beef Cows. University of Georgia, Athens, pp. 1-7.
  8. Fodor I, Gabor G, Lang Z, Abonyi-Toth Z, Ozsvari L. 2019. Relationship between reproductive management practices and fertility in primiparous and multiparous dairy cows. Can. J. Vet. Res. 83:218-227.
  9. Grum DE, Drackley JK, Younker RS, LaCount DW, Veenhuizen JJ. 1996. Nutrition during the dry period and hepatic lipid metabolism of periparturient dairy cows. J. Dairy Sci. 79:1850-1864. https://doi.org/10.3168/jds.S0022-0302(96)76553-0
  10. Gulay MS, Hayen MJ, Bachman KC, Belloso T, Liboni M, Head HH. 2003. Milk production and feed intake of Holstein cows given short (30-d) or normal (60-d) dry periods. J. Dairy Sci. 86:2030-2038. https://doi.org/10.3168/jds.S0022-0302(03)73792-8
  11. Halder S. 2021. Dairy farms sprouting around Dhaka. The Daily Star. https://www.thedailystar.net/business/economy/news/dairy-farms-sprouting-around-dhaka-2179116
  12. Hansel W, Malven PV, Black DL. 1961. Estrous cycle regulation in the bovine. J. Anim. Sci. 20:621-625. https://doi.org/10.2527/jas1961.203621x
  13. Herath HMSP and Mohammad S. 2009. The current status of cattle breeding programmes in Asia. In: Boettcher P and Perara BMAO (Eds.), Selection and Breeding of Cattle in Asia: Strategies and Criteria for Improved Breeding, IAEA, Vienna, pp. 3-10.
  14. Hossain ZMA, Hossain SMJ, Rashid MM, Sultana N, Ali MH. 2004. Study on the present management condition of private dairy farm at Rangpur Sadar Thana in Bangladesh. J. Biol. Sci. 4:185-188. https://doi.org/10.3923/jbs.2004.185.188
  15. Inchaisri C, Jorritsma R, Vos PL, van der Weijden GC, Hogeveen H. 2011. Analysis of the economically optimal voluntary waiting period for first insemination. J. Dairy Sci. 94:3811-3823. https://doi.org/10.3168/jds.2010-3790
  16. Khan ABMKI, Baset MA, Fouzder SK. 2010. Study on management and production system of small scale dairy farm in a selective rural area of Bangladesh. J. Sci. Found. 8:13-23.
  17. Khodakaram-Tafti A and Ikede BO. 2005. A retrospective study of sporadic bovine abortions, stillbirths, and neonatal abnormalities in Atlantic Canada, from 1990 to 2001. Can. Vet. J. 46:635-637.
  18. LeBlanc S. 2010. Assessing the association of the level of milk production with reproductive performance in dairy cattle. J. Reprod. Dev. 56 Suppl:S1-S7. https://doi.org/10.1262/jrd.1056S01
  19. Luby CD, Waldner C, Jelinski MD. 2020. Update on demographics of the Canadian Dairy Industry for the period 2011 to 2016. Can. Vet. J. 61:75-78.
  20. Lopez-Gatius F, Yaniz J, Madriles-Helm D. 2003. Effects of body condition score and score change on the reproductive performance of dairy cows: a meta-analysis. Theriogenology 59:801-812. https://doi.org/10.1016/S0093-691X(02)01156-1
  21. Mee JF, Fahey J, Crilly J. 1999. Breeding the dairy cow of the future-today's challenges. Proceedings of National Dairy Conference 1999. [Oak Park]: Teagasc.
  22. Nasir T, Quaddus M, Shamsuddoha M. 2014. Dairy supply chain risk management in Bangladesh: field studies of factors and variables. J. Tek. Ind. 16:127-138. https://doi.org/10.9744/jti.16.2.127-138
  23. Paul AK, Al-Maruf A, Jha PK, Alam MGS. 2013. Reproductive performance of crossbred and indigenous (Desi) dairy cows under rural context at Sirajgonj district of Bangladesh. J. Emb. Trans. 28:319-324. https://doi.org/10.12750/JET.2013.28.4.319
  24. Pereira MH, Cooke RF, Alfieri AA, Vasconcelos JL. 2013. Effects of vaccination against reproductive diseases on reproductive performance of lactating dairy cows submitted to AI. Anim. Reprod. Sci. 137:156-162. https://doi.org/10.1016/j.anireprosci.2012.12.011
  25. Potter TJ, Guitian J, Fishwick J, Gordon PJ, Sheldon IM. 2010. Risk factors for clinical endometritis in postpartum dairy cattle. Theriogenology 74:127-134. https://doi.org/10.1016/j.theriogenology.2010.01.023
  26. Pryce JE, Coffey MP, Simm G. 2001. The relationship between body condition score and reproductive performance. J. Dairy Sci. 84:1508-1515. https://doi.org/10.3168/jds.S0022-0302(01)70184-1
  27. Rahman H, Happy FA, Efan AH, Hera MHR. 2019. The smallscale dairy value chain analysis: challenges and opportunities for dairy development in Mymensingh district of Bangladesh. SAARC J. Agric. 17:213-226. https://doi.org/10.3329/sja.v17i2.45307
  28. Shamsuddoha AK and Edwards GW. 2000. Dairy industry in Bangladesh: problems and prospects. Proceedings of AARES 2000 Conference. Sydney, Australia: Australian Agricultural and Resource Economics Society.
  29. Talukder AK, Marey MA, Shirasuna K, Kusama K, Shimada M, Imakawa K, Miyamoto A. 2020. Roadmap to pregnancy in the first 7 days post-insemination in the cow: immune crosstalk in the corpus luteum, oviduct, and uterus. Theriogenology 150:313-320. https://doi.org/10.1016/j.theriogenology.2020.01.071
  30. Van Schyndel SJ, Bauman CA, Pascottini OB, Renaud DL, Dubuc J, Kelton DF. 2019. Reproductive management practices on dairy farms: the Canadian National Dairy Study 2015. J. Dairy Sci. 102:1822-1831. https://doi.org/10.3168/jds.2018-14683
  31. Wardynski F. 2013. Vaccinating cows for reproductive diseases begins with the heifer. Retrived October 8, 2013, from https://www.canr.msu.edu/news/vaccinating_cows_for_reproductive_diseases_begins_with_the_heifer
  32. Wildman EE, Jones GM, Wagner PE, Boman RL, Troutt Jr. HF, Lesch TN. 1982. A dairy cow body condition scoring system and its relationship to selected production characteristics. J. Dairy Sci. 65:495-501. https://doi.org/10.3168/jds.S0022-0302(82)82223-6