Determination of the relationship between serum anti-Müllerian hormone level and superovulatory response in Simmental cows.
Ramazan SevgiHuseyin ErdemTahir KaraşahinMehmet Ali YılmazMuharrem SatılmışAlaeddin Okuroğluİlker ÜnalŞükrü DursunHasan AlkanFatma SatılmışMehmet GülerPublished in: Reproduction in domestic animals = Zuchthygiene (2019)
The most significant focal points of the embryo transfer technology are as follows: the selection of donors, the response of the selected donor to the superovulation protocol and the obtained number of the transferable embryos. For this purpose, it is suggested that donor selection can be done by anti-Müllerian hormone (AMH) levels, and embryo production is evaluated. AMH is secreted by the granulosa cells of primordial, pre-antral and antral follicles below 4 mm in the ovary, independent of FSH. Therefore, the aim of this study was to investigate the relationship between serum AMH levels and the number of corpus luteum (CL), total embryos and transferable embryos that were shaped after a uniform superovulation protocol. For this reason, 48 Simmental cows, which were located at General Directory of Agricultural Enterprises (region, province, etc. instead of the general directorate), were used as donors for the embryo transfer. Blood samples were taken at random, regardless of the stage of animal's sexual cycle. AMH levels were measured by enzyme-linked fluorescent assay (ELFA) method of the miniVIDAS® (bioMérieux SA) using AMH Bovine Test Kit. According to the statistical analyses of the obtained data, AMH levels were positively correlated with CL and total embryos (p < .05). No significant correlations between AMH and transferable embryos were approved (p > .05). It was also determined that each 200 pg/ml increase in serum AMH level resulted in one increase in CL number. Overall, considering the positive correlation between AMH level and the obtained number of CL and total embryos after a superovulation treatment, it was concluded that measuring blood AMH level prior to any further costly implementation may be an effective method in donor selection.
Keyphrases
- randomized controlled trial
- healthcare
- induced apoptosis
- primary care
- climate change
- south africa
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- adipose tissue
- machine learning
- high resolution
- risk assessment
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- neural network
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- simultaneous determination
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