Genetic parameters of libido in Brazilian Nellore bulls

A comparative study of libido in drakes: from phenotypes to molecules

Low fertilization rate is the main reason to limit the development of artificial insemination (AI) technology in ducks. However, the libido of male livestock has been confirmed to be related to semen quality and fertilization rate, and we found that the libido of drakes was different. Thus, the research on the libido of drakes may be the key to further develop and apply AI technology. In this research, we established the first scoring standard for libido evaluation in drakes based on the performance of drakes during training period. Phenotypically, the body weight of high libido group was lighter than that of the other groups, while the weight of testis and epididymis in the high libido group was higher than that in the low libido group. Furthermore, we constructed the first expression profile of hypothalamus, pituitary, testis, and epididymis of drakes with high or low libido. There were 2, 1822, 214, and 892 differentially expressed genes (DEGs) in hypothalamus, pituitary, testis, and epididymis. The expression and sequence of Translocation Associated Membrane Protein 2 (TRAM2) were different in high and low libido drakes, indicating that it may be a candidate gene related to drake's libido. The estrogen, prolactin, and oxytocin signaling pathways were all activated in the pituitary of the low libido group. Meanwhile, the metabolic and oxidative phosphorylation pathways were enriched by DEGs in pituitary, testis and epididymis. Our research reveals that the difference in metabolic may cause changes in body weight of drakes, resulting in altered hormone levels and oxidative phosphorylation of gonad, which negatively affects libido and spermatogenesis in drakes. These results provide novel insights into the avian libido and will help better understand the underlying molecular mechanisms.

Genetic parameter estimates for bull prolificacy and its relationship with scrotal circumference in a commercial beef cattle population

The commercial beef cattle industry relies heavily on the use of natural service sires. When artificial insemination is deemed difficult to implement, multisire breeding pastures are used to increase reproductive rates in large breeding herds or to safe-guard against bull injury during the breeding season. Although each bull might be given an equal opportunity to produce offspring, evidence suggest that there is substantial variation in the number of calves sired by each bull in a breeding pasture. With the use of DNA-based paternity testing, correctly assigning calves to their respective sires in multisire pastures is possible and presents an opportunity to investigate the degree to which this trait complex is under genetic control. Field data from a large commercial ranch was used to estimate genetic parameters for calf count (CC; 574 records from 443 sires) and yearling scrotal circumference (SC; n = 1961) using univariate and bivariate animal models. Calf counts averaged 12.2 ± 10.7 and SC averaged 35.4 ± 2.30 cm. Bulls had an average of 1.30 records and there were 23.9 ± 11.1 bulls per contemporary group. The model for CC included fixed effects of age during the breeding season (in years) and contemporary group (concatenation of breeding pasture and year). Random effects included additive genetic and permanent environmental effects, and a residual. The model for SC included fixed effects of age (in days) and contemporary group (concatenation of month and year of measurement). Random effects included an additive genetic effect and a residual. Univariate model heritability estimates for CC and SC were 0.178 ± 0.142 and 0.455 ± 0.072, respectively. Similarly, the bivariate model resulted in heritability estimates for CC and SC of 0.184 ± 0.142 and 0.457 ± 0.072, respectively. Repeatability estimates for CC from univariate and bivariate models were 0.315 ± 0.080 and 0.317 ± 0.080, respectively. The estimate of genetic correlation between CC and SC was 0.268 ± 0.274. Heritability estimates suggest that both CC and SC would respond favorably to selection. Moreover, CC is lowly repeatable and although favorably correlated, SC appears to be weakly associated with CC.

Correlation of biochemical constituents of seminal plasma with semen quality in Teddy goat (Capra hircus) bucks

This study was planned to determine the relationship between semen quality parameters and the levels of biochemical constituents of seminal plasma of Teddy (Capra hircus) buck semen. For this purpose, semen ejaculates were collected from five mature healthy Teddy bucks. All the experimental bucks were kept under natural environmental conditions. Semen was collected twice in a week for the duration of 6 weeks by Artificial Vagina (AV) in the breeding season (February-April). Two successive ejaculates of single buck were pooled at time of collection, and a total of 60 semen samples were processed for semen analysis. Sperm per cent motility, sperm concentration, dead sperm percentage, morphological abnormal spermatozoa, plasma membrane integrity were correlated with biochemical constituents of seminal plasma. The mean per cent motility (89.18% ± 0.37%), sperm concentration (1.86 ± 0.04 × 10⁹ /ml), dead sperm percentage (8.08% ± 0.29%), morphological abnormal spermatozoa (6.05% ± 0.29%) and plasma membrane integrity (88.22% ± 0.34%) were recorded. The seminal plasma contained Na⁺ (144.12 ± 1.59 mEq/L), K⁺ (27.38 ± 0.49 mEq/L), Cl^- (65.73 ± 0.45 mEq/L), Ca⁺⁺ (9.34 ± 0.22 mg/dl), P (19.32 ± 0.97 mg/dl), aspartate aminotransferase (AST; 26.48 ± 1.30 IU/L), alanine aminotransferase (ALT; 168.47 ± 5.18 IU/L), lactate dehydrogenase (LDH; 215.98 ± 6.06 IU/L), albumin (1.90 ± 0.10 g/dl), globulins (2.08 ± 0.11 g/dl) and total protein (3.98 ± 0.20 g/dl). The collected data were analysed by applying Pearson's correlation coefficients. Dead sperm percentage had negative correlation with sodium (r = -.278, p < .05), albumin (r = -.294, p < .05), globulin (r = -.266, p < .05) and total protein (r = -.295, p < .05). Phosphorus was negatively associated with sperm concentration (r = -.262, p < .05). AST was negatively correlated with plasma membrane integrity (r = -.292, p < .05). It was concluded that most of the semen quality parameters of Teddy bucks were positively correlated with biochemical constituents, but opposite trends were found in case of dead sperm percentage. The seminal biochemical constituents dynamically interact with each other.