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1.
Andrologia ; 53(4): e13995, 2021 May.
Article in English | MEDLINE | ID: mdl-33629781

ABSTRACT

The invasion of the male urogenital tract by microorganisms, and its subsequent effects on sperm fertilising ability, has not been well discussed in bucks. The present study was conducted to assess the bacterial load in fresh semen of the 2-6 years old bucks. For conducting the experiment, semen ejaculates from 18 bucks (6 from each breed namely Jakhrana, Jamunapari and Barbari) were used. We collected 5 ejaculates from each buck in each season (Summer-April to June, Rainy-July to Sept and Winter-November to January). Semen was collected with the artificial vagina (AV) method, and separate AV was used for each buck every time. The semen collection frequency was once in a week. Immediately after initial evaluation, collected semen samples were transferred to the microbiology laboratory of the institute. Thereafter, the semen samples were subjected to bacteriological examination to assess the microbial load. The results of the current study indicate that the microbial load in the semen was significantly (p < 0.05) higher in the Jamunapari bucks and in aged bucks. Bacteriospermia in different seasons was not significantly varied; however, nonsignificant increase in microbial load during the rainy season was observed. Overall, the average bacterial load in the semen of Jamunapari, Barbari and Jakhrana bucks was found 540.50 ± 55.88 CFU/ml, 391.81 ± 46.33CFU/ml and 388.93 ± 44.71 CFU/ml respectively. No significant difference in bacterial counts in the subsequent ejaculates among bucks was observed. Moreover, correlation analysis revealed that the proportions of motility, viability, plasma membrane integrity and acrosomal integrity were negatively influenced by the increased bacterial contamination of buck semen.


Subject(s)
Goats , Semen Analysis , Aged , Animals , Female , Humans , Male , Seasons , Semen , Semen Analysis/veterinary , Sperm Motility , Spermatozoa
2.
Anim Reprod Sci ; 205: 115-125, 2019 Jun.
Article in English | MEDLINE | ID: mdl-31040054

ABSTRACT

This study was designed to investigate plasma profile of pregnancy-associated glycoprotein (PAG), progesterone (P4) and estrone sulfate (E1S) during early- and mid-pregnancy. The goal was to explore the relationships with values for reproductive variables, to detect the most reliable predictor variable, and to identify the most desirable time point for blood collection for determining fetal number in goats. After ultrasonographic examination at d35-40 post-mating, blood sampling of 15 pregnant goats (total 18) was continued until d114. The PAG profile was characterized by gradual increase during early pregnancy from d26 to d51 and thereafter concentrations were relatively constant until d114 of gestation. The effect of fetal number on plasma PAG, P4 and E1S was first evident on d28, d51 and d26, respectively. During mid-pregnancy, does with twins had a greater (P < 0.05) PAG (S-N = 2.54 ± 0.12 compared with 1.59 ± 0.11), P4 (18.91 ± 0.67 compared with 14.51 ± 0.47 ng/mL) and E1S (16.34 ± 0.76 compared with 11.32 ± 0.44 ng/dL) as compared with does with a singleton fetus. Plasma PAG but not P4 and E1S was positively correlated with fetal number and birth weight of kids during early pregnancy. Multivariate linear regression and discriminant function analyzes allowed for identification of plasma PAG as the most reliable predictor for fetal number and birth weight of kids. Furthermore, d58 was the most suitable single time point for prediction of fetal number using PAG as a biomarker. In conclusion, plasma profile of PAG, P4 and E1S was affected by fetal count. Plasma PAG was identified as the most reliable predictor variable of fetal number and birth weight of kids as compared to plasma P4 and E1S.


Subject(s)
Estrone/analogs & derivatives , Goats/blood , Litter Size/physiology , Pregnancy Proteins/blood , Pregnancy, Animal , Progesterone/blood , Animals , Estrone/blood , Female , Goats/physiology , Male , Multivariate Analysis , Pregnancy , Pregnancy, Animal/blood , Time Factors
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