##plugins.themes.bootstrap3.article.main##

Given the significant economic importance of getting cows pregnant, we investigated the factors affecting the conception rate of cows in Rajshahi City in this study. As we know, when the sperm fertilizes the egg, this is the moment we call conception. The number of dams that actually give birth compared to the number of dams that have been served or exposed to the sire is traditionally understood to be the conception rate. There have been many management and environmental factors, such as nutrition, metabolic disorders, reproductive health, heat detection, insemination practices, and climate, which can result in significant differences in conception rates. In terms of the effect of herd size on cow’s conception, we observed that herd with >30 cows had the highest (71.12%) conception rate (P<0.001), while the overall conception rate was 60.28%. Private farms showed higher conception (66.68%) than NGO-led ones (22%). Farmers having higher (>3 years) experience managed better conception rate (62.34%) in their farms. Cows under good housing management showed better conception (65.65%) than poorly or on-averagely maintained ones. Cows that were given good quality feed showed better conception (66.82%) compared to those provided with medium to poor quality feed; likewise, cows supplied with good quality fodder performed better regarding CR (63.68%). Cows that were under regular deworming resulted better (63.90%) conception rate compared to irregularly (55%) or no-dewormed (22.22%) groups. Regarding the effects of breed on CR we noticed that Friesian crossed showed better conception (75.13%) than local (50%) and Sahiwal crossed (40%). About the effect of age, 4-6 years old cows showed a better conception rate (68.88%), and in terms of parity 3rd one revealed highest conception rate (84.26%). We noticed frozen semen performed better (62.43%) than liquid ones (57.24%) and the govt. supplied semen resulted in better CR (65%). Heat detection through mounting resulted in a better conception rate (68.08%) than bellowing (67.14%) and vaginal discharge (52.57%), and service around 12-18 hours of Heat showed the highest conception rate (76.32%). In terms of the effect of methods of pregnancy detection on conception rate we noticed that by observing the clinical signs, we can better confirm conception (70.69%) compared with rectal palpation (38.14%). Under various limitations, we carried out our experiment; our findings are striking; however, further studies are needed to go more in-depth into it

References

  1. The daily star.net. Role of agriculture in Bangladesh's economic growth. 2023. (updated 2022, February 13; cited 2023, July 30). Avail from: https://www.thedailystar.net/recovering-covid-reinventing-our-future/blueprint-brighter-tomorrow/news/role-agriculture-bangladeshs-economic-growth-2960736.
     Google Scholar
  2. Datta AK, Haider MZ, Ghosh SK. Economic analysis of dairy farming in Bangladesh. Trop Anim Health Prod. 2019 Jan 25;51, 55–64. https://doi.org/10.1007/s11250-018-1659-7.
     Google Scholar
  3. Hamid MA, Rahman A, Zaman MA and Hossain KM, Cattle Genetic Resources and their Conservation in Bangladesh. Asian J. Anim. Sci., 2017 Feb 15; 11(2): 54-64. https://doi.org/10.3923/ajas.2017.54.64.
     Google Scholar
  4. Souames S, Berrama Z, Factors affecting conception rate after the first artificial insemination in a private dairy cattle farm in North Algeria. Vet World. 2020 Dec 9;13(12):2608-2611. https:// doi.org/10.14202/vetworld.2020.2608-2611.
     Google Scholar
  5. Kathy L. AI bulls ranked by conception rates, Michigan Dairy Review. 2004; pp. 1-3. http://www.mdr.msu.edu.
     Google Scholar
  6. Silva E, Sterry RA, Kolb D, et al. Effect of interval to resynchronization of ovulation on fertility of lactating Holstein cows when using transrectal ultrasonography or a pregnancy-associated glycoprotein enzyme-linked immunosorbent assay to diagnose pregnancy status. J Dairy Sci. 2009 Aug;92(8):3643-3650. doi:10.3168/jds.2008-1704.
     Google Scholar
  7. Ghosh DK. Economic traits of cross breed cattle in small dairy enterprises of gazipur district [MSc Thesis]. Bangladesh Agricultural University, 1995.
     Google Scholar
  8. Alam J. Comparative performance of local and cross-bred cows in Bangladesh. Final Report of the Research Project. 1994, Bangladesh Livestock Research Institute. Savar, Dhaka.
     Google Scholar
  9. De Kruif A. Factors influencing the fertility of a cattle population. J Reprod Fertil. 1978;54(2):507-518. doi:10.1530/jrf.0.0540507
     Google Scholar
  10. Barkett LJ. Dairy merit of temperate and tropical cross-bred cows at the Sylhet Government Dairy Farm. Bangladesh Veterinary J, 1986;29: 57-61.
     Google Scholar
  11. Gwazdauskas FC, Lineweaver JA, Vinson WE. Rates of conception by artificial insemination of dairy cattle. J Dairy Sci. 1981;64(2):358-362. doi:10.3168/jds.S0022-0302(81)82575-1.
     Google Scholar
  12. Hla UT, UA Myatt, DSS Kyi and YH Win. Improvement of cattle production in Myanmar through the use of progesterone RIA to increase efficiency and quality of artificial insemination services. Proc of final Research Co-ordination Meeting on Radioimmunoassay and related techniques to improve artificial insemination programmes for cattle reared under tropical and subtropical conditions’. IAEA-TECDOC-1220, 2001:45-50.
     Google Scholar
  13. Mufti MMR, MK Alam, MS Sarker, ABMR Bostami and NG Das (2010) Study on factors affecting the conception rate in red chittagong cows. Bang J Anim Sci. 2010;39(1&2): 52-57.
     Google Scholar
  14. Trimberger GW, GK Davis. The relationship between time of insemination and breeding efficiency in dairy cattle. Res Bull Neb agrie Exp Stn. 1843; 129.
     Google Scholar
  15. Nilforooshan MA, Edriss MA. Effect of age at first calving on some productive and longevity traits in Iranian Holsteins of Isfahan Province. J Dairy Sci. 2004;87:2130–2135.
     Google Scholar


Most read articles by the same author(s)