USING IN-LINE MILK PROGESTERONE DATA TO DETERMINE OVARIAN ACTIVITY PARAMETERS ASSOCIATED WITH REDUCED FERTILITY IN CANADIAN HOLSTEIN COWS Open Access
- Other title
- Type of item
- Degree grantor
University of Alberta
- Author or creator
Carreira Bruinjé, Tony
- Supervisor and department
Ambrose, Divakar J (Department of Agricultural, Food and Nutritional Science)
- Examining committee member and department
Robinson, Frank (Department of Agricultural, Food and Nutritional Science)
Oba, Masahito (Department of Agricultural, Food and Nutritional Science)
Department of Agricultural, Food, and Nutritional Science
- Date accepted
- Graduation date
Master of Science
- Degree level
Improvements in genetic selection and dairy management practices have resulted in dramatic increases in individual milk production over past decades. However, this positive trend has been accompanied by decreased reproductive performance and fertility in dairy cows. Infertility in modern dairy cows is often linked to altered ovarian function; therefore, gaining a better understanding of ovarian activity and factors associated with fertility impairment is of great importance. In this regard, a fully automated technology that measures frequent milk progesterone (P4) concentrations has been recently commercialized. It allows monitoring of real- time ovarian activity and exploration of various components of luteal activity associated with fertility that could not be studied previously. Three studies were conducted that aimed to evaluate components of ovarian activity parameters associated with reduced fertility, by retrospectively assessing postpartum in-line milk P4 data in Holstein cows. Records of milk P4 were obtained through an automated in-line milk analysis system (Herd NavigatorTM, DeLaval, Tumba, Sweden) in two (in first and second study) and four (in third study) commercial dairy herds. On average, milk P4 (ng/mL) was measured every 2 d starting at approximately 20 d postpartum until the determination of artificial insemination (AI) outcomes. Variations in adjusted milk P4 values below and above the designated threshold (5 ng/mL) were used to determine the commencement of luteal activity (CLA), length of luteal phases, and pregnancy. The objectives of the first study (Chapter 3) were to investigate relationships of (1) interval from calving to CLA and (2) luteal phase length and frequency preceding first AI, with parity and AI outcomes in two dairy herds. Primiparous cows had delayed CLA and less abnormal (i.e. short or long) luteal phases than multiparous cows. An early CLA improved fertility in multiparous cows, while having an abnormal luteal phase reduced fertility in primiparous cows. Regardless, the presence of at least two luteal phases preceding first AI greatly improved fertility. In conclusion, a high frequency of luteal phases (including at least one normal luteal phase) preceding first AI is a major factor benefiting AI outcomes. The second study (Chapter 4) aimed to determine the dynamics of pre- and post-AI milk P4 profiles and their associations with parity and AI outcomes in two herds. Differences in milk P4 profiles between parities and among different AI outcome groups were observed. Primiparous ii cows had higher and a more rapid increase in milk P4 levels post-AI than multiparous cows. Also, cows that became pregnant after AI had lower milk P4 levels near the time of AI and higher milk P4 levels beyond d 10 post-AI, compared to cows that were not pregnant after AI. The third study (Chapter 5) aimed to characterize cut-off values for various luteal activity parameters in the early postpartum period, and before and after AI, that were associated with reduced probability of pregnancy, in a larger population. By identifying cut-off values through receiver operating characteristic curve analysis, several parameters associated with reduced fertility were characterized, such as: (1) low number of cycles preceding first AI, (2) prolonged luteal phase preceding AI, (3) delayed AI following decline in milk P4 levels, and (4) sub- optimal P4 concentrations at different time points before and after AI. In conclusion, modern dairy cows have a high prevalence of abnormal luteal activity parameters associated with reduced probability of pregnancy, which might be the underlying reasons for poor fertility in dairy herds. The results from this Master’s thesis research indicate that monitoring in-line milk P4 profiles can be a valuable approach to identify components of infertility and to benchmark the prevalence of these components in modern dairy herds. Thereby, targeted management strategies to overcome abnormal luteal activity conditions can be implemented to improve fertility, such as (1) inducing luteolysis in cows with prolonged luteal phases preceding AI or with elevated P4 near the time of AI, and (2) supplementing P4 in cows with sub-optimal spontaneous P4 levels before or after AI.
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
- Citation for previous publication
Bruinjé, T.C., M.G. Colazo, M. Gobikrushanth, and D.J. Ambrose. 2017. Relationships among early postpartum luteal activity, parity, and insemination outcomes based on in-line milk progesterone profiles in Canadian Holstein cows. Theriogenology. 100:32––41. doi:10.1016/j.theriogenology.2017.05.021.Bruinjé, T.C., M. Gobikrushanth, M.G. Colazo, and D.J. Ambrose. 2017. Dynamics of pre- and post-insemination progesterone profiles and insemination outcomes determined by an in- line milk analysis system in primiparous and multiparous Canadian Holstein cows. Theriogenology. 102:147–153. doi:10.1016/j.theriogenology.2017.05.024.
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