“…In this respect, components of follicular fluid are known to affect granulose cells and oocyte, as they regulate follicle development and steroidogenesis (Brantmeier et al, 1987). Cholesterol, through HDL and LDL lipoproteins, is the main precursor of steroid hormones (Ramos et al, 2007). Herrera-Camacho et al (2008) indicated that ovulation and fertilization are promoted when the oocyte develops and matures in a suitable endocrine environment.…”
Section: Resultsmentioning
confidence: 99%
“…Several studies have also demonstrated a relationship between metabolic disorders and reproductive efficiency and, subsequently, embryo production (Chorfi et al, 2007;Ramos et al, 2007;Pfeifer et al, 2009).…”
The aim of this study was to evaluate the use of endometrial cytology and metabolic profiles for selection of donor cows in embryo transfer programmes. For this purpose, 69 clinically healthy Holstein cows were enrolled in the study. At the start of the superovulation procedure (Day 0), blood and endometrial samples were obtained to determine metabolic and uterine status, respectively. The cows were then subjected to porcine follicle stimulating hormone (pFSH) superovulation treatment, and embryos were recovered after 7 days. The mean number of embryos obtained per flush was 9.89±8.21 (4.63±5.34 viable embryos, 0.82±2.01 degenerated embryos and 4.57±6.44 unfertilized ova). The following statistically significant variables were entered in a regression model: beta-hydroxybutyrate, serum cholesterol, body condition, number of calvings and percentage of neutrophils. In almost all cases, the model explained some percentage of the variance: total number of embryos, 4.8% (p<0.05); number of degenerate embryos, 4.2% (p=0.051); and number of unfertilized ova, 14.2% (p<0.01). Statistical models for the percentage of viable embryos and unfertilized ova accounted for 24.0% and 29.4% of the variance, respectively, and both were statistically significant (p<0.01). The model for the percentage of degenerated embryos was statistically significant (p<0.05) and explained 4.4% of the variance. In conclusion, we have demonstrated that positive energy balance and healthy uterus can improve ovarian response and the proportion of viable embryos in cows. Efficient tools for monitoring the metabolic and uterine status should therefore be used in bovine embryo transfer programmes.
“…In this respect, components of follicular fluid are known to affect granulose cells and oocyte, as they regulate follicle development and steroidogenesis (Brantmeier et al, 1987). Cholesterol, through HDL and LDL lipoproteins, is the main precursor of steroid hormones (Ramos et al, 2007). Herrera-Camacho et al (2008) indicated that ovulation and fertilization are promoted when the oocyte develops and matures in a suitable endocrine environment.…”
Section: Resultsmentioning
confidence: 99%
“…Several studies have also demonstrated a relationship between metabolic disorders and reproductive efficiency and, subsequently, embryo production (Chorfi et al, 2007;Ramos et al, 2007;Pfeifer et al, 2009).…”
The aim of this study was to evaluate the use of endometrial cytology and metabolic profiles for selection of donor cows in embryo transfer programmes. For this purpose, 69 clinically healthy Holstein cows were enrolled in the study. At the start of the superovulation procedure (Day 0), blood and endometrial samples were obtained to determine metabolic and uterine status, respectively. The cows were then subjected to porcine follicle stimulating hormone (pFSH) superovulation treatment, and embryos were recovered after 7 days. The mean number of embryos obtained per flush was 9.89±8.21 (4.63±5.34 viable embryos, 0.82±2.01 degenerated embryos and 4.57±6.44 unfertilized ova). The following statistically significant variables were entered in a regression model: beta-hydroxybutyrate, serum cholesterol, body condition, number of calvings and percentage of neutrophils. In almost all cases, the model explained some percentage of the variance: total number of embryos, 4.8% (p<0.05); number of degenerate embryos, 4.2% (p=0.051); and number of unfertilized ova, 14.2% (p<0.01). Statistical models for the percentage of viable embryos and unfertilized ova accounted for 24.0% and 29.4% of the variance, respectively, and both were statistically significant (p<0.01). The model for the percentage of degenerated embryos was statistically significant (p<0.05) and explained 4.4% of the variance. In conclusion, we have demonstrated that positive energy balance and healthy uterus can improve ovarian response and the proportion of viable embryos in cows. Efficient tools for monitoring the metabolic and uterine status should therefore be used in bovine embryo transfer programmes.
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