The benefits of cooling boar semen in long-term extenders prior to cryopreservation on sperm quality characteristics

2016 ◽  
Vol 51 (5) ◽  
pp. 781-788 ◽  
Author(s):  
K Wasilewska ◽  
Ł Zasiadczyk ◽  
L Fraser ◽  
M Mogielnicka-Brzozowska ◽  
W Kordan
Keyword(s):  
Sperm Quality ◽  
Quality Characteristics ◽  
Boar Semen

Sperm quality and oxidative status as affected by homogenization of liquid-stored boar semen diluted in short- and long-term extenders

2017 ◽  
Vol 179 ◽  
pp. 67-79 ◽  
Author(s):  
Mariana B. Menegat ◽  
Ana Paula G. Mellagi ◽  
Rafael C. Bortolin ◽  
Tila A. Menezes ◽  
Amanda R. Vargas ◽  
...  
Keyword(s):  
Sperm Quality ◽  
Oxidative Status ◽  
Short And Long Term ◽  
Boar Semen

scholarly journals Effect of warmed semen extender on boar sperm quality post-collection

2019 ◽  
Vol 47 (2019) ◽  
pp. 13-17
Author(s):  
K.W. Lovercamp ◽  
A. Giri
Keyword(s):  
Sperm Quality ◽  
Negative Effects ◽  
Swine Industry ◽  
Semen Collection ◽  
Boar Sperm ◽  
Boar Semen ◽  
Semen Extender ◽  
And Control ◽  
Sexually Mature

Abstract Semen used for artificial insemination (AI) in the swine industry is typically collected into a warmed semen collection cup containing an empty collection bag. If the ambient temperature does not closely match the temperature of the warmed collection cup and semen at the time of collection then negative effects to the motility and morphology of the sperm cells may occur due to temperature shock. The purpose of this research was to determine if collecting boar semen directly into semen extender warmed to 38.5°C would affect sperm quality post-collection. Sexually mature Berkshire x Duroc crossbred boars (n = 7) were semen collected once per week for four consecutive weeks. Every other collection, the boar's ejaculate was collected into a collection cup and plastic collection bag warmed to 38.5°C containing either no semen extender (control) or 100 mLs of a commercially available long-term semen extender warmed to 38.5°C (treatment). Following collection and processing, the semen was extended to 37.5 × 106 sperm/mL and stored for 6 days post-collection in a semen cooler at 17°C. Motility and morphology were evaluated on day 0 (day of collection) and day 6. There was no day x treatment effect (P > 0.05). Statistical differences (P = 0.03) were found between the treatment and control for sperm motility (82.2 vs. 75.2%) and sperm progressive motility (64.1 vs. 53.5%). No differences (P = 0.96) were present for normal sperm morphology in the treatment compared to the control (89.1 vs. 89.0%). These data suggest that boar semen ejaculates collected into a collection cup and plastic collection bag containing 100 mLs of semen extender warmed to 38.5°C will have greater percentages of motile and progressively motile sperm compared to boar sperm collected into a collection cup and plastic collection bag warmed to 38.5°C containing no semen extender.

PREDICTING CHARACTERISTICS OF SELF SIMILAR TRAFFIC BY SPLINE-EXTRAPOLATION

2019 ◽  
Author(s):  
Irina Strelkovskay ◽  
Irina Solovskaya ◽  
Anastasija Makoganjuk ◽  
Nikolaj Severin
Keyword(s):  
Quality Characteristics ◽  
Traffic Prediction ◽  
Normative Values ◽  
Spline Functions ◽  
Network Nodes ◽  
Traffic Forecasting ◽  
Network Equipment ◽  
Self Similar ◽  
Accuracy Of Prediction

The problem of forecasting self-similar traffic, which is characterized by a considerable number of ripples and the property of long-term dependence, is considered. It is proposed to use the method of spline extrapolation using linear and cubic splines. The results of self-similar traffic prediction were obtained, which will allow to predict the necessary size of the buffer devices of the network nodes in order to avoid congestion in the network and exceed the normative values ​​of QoS quality characteristics. The solution of the problem of self-similar traffic forecasting obtained with the Simulink software package in Matlab environment is considered. A method of extrapolation based on spline functions is developed. The proposed method has several advantages over the known methods, first of all, it is sufficient ease of implementation, low resource intensity and accuracy of prediction, which can be enhanced by the use of quadratic or cubic interpolation spline functions. Using the method of spline extrapolation, the results of self-similar traffic prediction were obtained, which will allow to predict the required volume of buffer devices, thereby avoiding network congestion and exceeding the normative values ​​of QoS quality characteristics. Given that self-similar traffic is characterized by the presence of "bursts" and a long-term dependence between the moments of receipt of applications in this study, given predetermined data to improve the prediction accuracy, it is possible to use extrapolation based on wavelet functions, the so-called wavelet-extrapolation method. Based on the results of traffic forecasting, taking into account the maximum values ​​of network node traffic, you can give practical guidance on how traffic is redistributed across the network. This will balance the load of network objects and increase the efficiency of network equipment.

scholarly journals Macro- and microelements in serum and seminal plasma as biomarkers for bull sperm cryotolerance

2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Maja Zakošek Pipan ◽  
Petra Zrimšek ◽  
Breda Jakovac Strajn ◽  
Katarina Pavšič Vrtač ◽  
Tanja Knific ◽  
...  
Keyword(s):  
Seminal Plasma ◽  
Semen Quality ◽  
Sperm Quality ◽  
Membrane Integrity ◽  
Quality Characteristics ◽  
Freezing And Thawing ◽  
Additional Tool ◽  
Bull Semen ◽  
Bull Sperm ◽  
Fresh Semen

ABSTRACT Background Wide variation in fertility rates is observed when using frozen bull semen, even when the bulls have met quality standards for semen production. Therefore, a simple and reliable test to assess the freezing potential of bull semen based on the analysis of fresh semen or blood would be of great value. Attention is now turning to assessment of seminal plasma components such as proteins and elements. In the present study, the concentrations of macro- and microelements in fresh bull semen plasma and in serum and their correlation with quality characteristics of fresh semen and with semen quality after freezing and thawing were determined. Ejaculates were collected from 30 mature bulls, and semen volume, concentration, sperm motility, morphology, tail membrane integrity, plasma membrane permeability and DNA fragmentation were determined on the day of collection and after freezing and thawing. The concentrations of macroelements (Na, Mg, K and Ca) and microelements (Cu, Fe, Zn and Se) were determined in the seminal plasma and serum. The semen samples were classified into satisfactory and unsatisfactory groups according to the fresh semen quality. Results Zinc and Se levels measured in serum were associated with almost all fresh and frozen-thawed semen quality characteristics, while Fe levels were associated only with acrosomal defects in fresh semen. Zinc and Fe levels in fresh seminal plasma were associated with various quality characteristics of fresh and frozen-thawed semen, while Se level in fresh seminal plasma was not associated with any of the semen quality characteristics. Conclusions Microelements were shown to be useful as biomarkers involved in the analysis of bull sperm quality and could be used as an additional tool to predict bull semen quality after freezing and thawing. Our results confirm that the analysis of Zn and Se levels in serum and Zn, Cu and Fe levels in fresh seminal plasma can provide information to discriminate between bull semen samples with spermatozoa with high or low cryotolerance.

Absence of seminal plasma from sperm-rich fraction decreases boar sperm quality characteristics during the course of liquid storage

2018 ◽  
Vol 198 ◽  
pp. 20-26 ◽  
Author(s):  
D.F. Leal ◽  
M.A. Torres ◽  
G.M. Ravagnani ◽  
S.M.M.K. Martins ◽  
F.V. Meirelles ◽  
...  
Keyword(s):  
Seminal Plasma ◽  
Sperm Quality ◽  
Quality Characteristics ◽  
Liquid Storage ◽  
Boar Sperm
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