# Computer-Assisted Sperm Analysis of Freezable and Nonfreezable Mithun (Bos frontalis) Semen

Authors: P. Perumal; S. K. Srivastava; S. K. Ghosh; K. K. Baruah
Journal: Journal of Animals
 (2014)

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## Abstract

The present study was undertaken to assess the motility and velocity parameters of sperm of freezable and nonfreezable ejaculates by computer-assisted sperm analyser (CASA) such as Hamilton-Thorne Semen Analyser IVOS 11 in mithun semen. Fifty ejaculates (twenty-five ejaculates each for freezable and nonfreezable semen ejaculates) were collected from ten matured mithun bulls. CASA parameters, motility parameters such as forward progressive motility (FPM) (%), nonprogressive motility (NPM) (%), total motility (TM) (%), and static sperms (SM) (%); velocity parameters such as curvilinear velocity (VCL) (μm/sec), straight line velocity (VSL) (μm/sec), average path velocity (VAP) (μm/sec), linearity (LIN) (%), straightness (STR) (%), wobble (WOB) (%), amplitude of lateral head displacement (ALH) (μm), and beat/cross-frequency (BCF) (Hz) were measured by CASA analyser. The result revealed that these parameters varied significantly (P<0.05) between the freezable and nonfreezable ejaculates and freezable ejaculates have significantly (P<0.05) higher value than nonfreezable ejaculates. It was concluded that most of the CASA parameters were significantly lower in nonfreezable ejaculates than in freezable ejaculates in mithun and confirmed that the CASA was effective for a quick and objective analysis of motility and velocity parameters in mithun semen.


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## Body

## 1. Introduction

Mithun (Bos frontalis) is a semiwild, free-range, rare bovine species present in the North-Eastern Hill (NEH) region of India and is believed to have originated more than 8000 years ago from wild Indian gaur (Bos gaurus) [1]. The animal has an important place in the social, cultural, religious, and economic life of the tribal population of NEH region. As per the livestock census of India (2007), the mithun population is decreasing gradually due to lack of suitable breeding bulls, increase in intensive inbreeding practices, and lack of suitable breeding management. Greater efforts are required from all quarters to preserve the mithun population to enhance the socioeconomic status of this region. Since mithuns are semiwild animal and not fully domesticated, natural breeding is practiced in this species with accompanied limitations like cost and disease transmission. Thus, use of artificial insemination for improvement of its pedigree is utmost essential.Etiology for infertility in male animals is varied and complex. Infertility is diagnosed by history, clinical signs, physical examination of external and internal genitalia, assessment of libido and sexual behaviour, semen collection and evaluation, and various hormone analyses related to semen production [2]. Subjective semen analysis is carried out by conventional method such as assessment of sperm concentration, motility, and morphology by phase contrast microscope [3]. However, the assessment of semen quality in terms of motility, velocity, swimming pattern, sperm head behaviour, and so forth, may help in better understanding of the possible sperm function, semen quality, and selection of suitable semen and bulls for cryopreservation in mithun. Various methods are used to estimate sperm motility and velocity parameters, which have ranged from very simple techniques such as time-exposure or multiple exposure photomicrographies to the very sophisticated CASA techniques [4]. CASA system yields accurate, objective assessment, repeatable, and reliable results on different semen parameters such as TM, FPM and different velocity parameters [5] based on the measurement of individual sperm cells. Recent reports suggested that CASA does not only measure the proportion of motile spermatozoa but also measures other sperm motion parameters derived from individual sperm cells and it has more predictive power on fertility potential of semen ejaculates [6]. In bovine species, specific motion parameters have been positively correlated with fertility [7, 8]. In addition to the use of computerized techniques to predict semen fertility, CASA also provides a useful tool to study the effects of variousin vitro procedures on sperm motility as well as the means to study the phenomenon of sperm hyperactivation. Spermatozoa FPM along with certain velocity parameters are essential for the spermatozoa to achieve fertilization. Spermatozoa kinematic parameters such as PFM, VSL, VCL, ALH, and LIN were positively correlated with bull fertility [9, 10].A spermatozoon has significantly higher VCL and ALH, indicating that there is major bending of the mid piece and large amplitude of lateral head displacement. This signifies the hyperactivation of the spermatozoa. Hyperactivation in turn implies high energy state of the spermatozoa, which is essential for sperm penetration through cervical mucus,zona pellucida, fuse with the oocytes, and successful fertilization [11]. Spermatozoa motility and velocity parameters reflect their mitochondrial function and energy status indirectly. In bovine, specific motion parameters have been correlated and related to fertility of sperm [7, 9].Study of CASA parameters was reported in domestic animal species such as cattle [10, 12], buffalo [13, 14], sheep [15], goat [16], boar [17], and dog [18]. Further, perusal of literatures revealed that no information on CASA parameters of freezable and nonfreezable ejaculates in mithun species. Hence, the objective of this study was to assess the motility and velocity parameters measured by CASA to pursuit future sperm preservation protocols in mithun.


## 2. Material and Methods

### 2.1. Experimental Animals

Ten apparently healthy mithun bulls of approximately 3 to 5 yrs of age were selected from the herd in mithun farm, National Research Centre on Mithun (ICAR), Jharnapani, Nagaland, India. The average body weight of these bulls was 501 kg (493 to 507 kg) at 3–5 yrs of age with good body condition (score 5-6) maintained under uniform feeding, housing, and lighting conditions. The study area lies between 25°54′30′′ North latitude and 93°44′15′′ East longitude and at an altitude range of 250–300 mean sea level. Each experimental animal was fed in this experiment as per the farm schedule. These were offered ad libitum drinking water, 30 kg mixed jungle forages (18.4% dry matter and 10.2% crude protein), and 4 kg concentrates (87.1% dry matter and 14.5% crude protein) daily fortified with mineral mixture and salt. During the study, all the experimental protocols met the Institutional Animal Care and Use Committee regulations.


### 2.2. Semen Collection, Incubation, and Evaluation

A total of 50 ejaculates were collected from ten bulls through rectal massage method. Briefly, massage was performed by back and forth hand motion over the ampulla, prostate, and seminal vesicles and then the urethralis muscles were rhythmically stroked [19] followed by the gentle milking of ampullae one by one, which resulted in erection and ejaculation. During collection, the initial transparent secretions were discarded and neat semen drops were collected in a graduated test tube with the help of a funnel. The ejaculates were evaluated and accepted for evaluation if the following criteria were met: concentration: >500 million/mL; mass activity: >3+, individual motility: >70%; and total abnormality: <10%. Immediately after collection, the samples were kept in a water bath at 37°C and evaluated for volume, colour, consistency, mass activity, and pH. After the preliminary evaluations, ejaculates were subjected to the initial dilution with prewarmed (37°C) Tris-citrate extender. The partially diluted samples were then brought to the laboratory in an insulated flask containing warm water (37°C) for further processing.


### 2.3. Sample Selection

These ejaculates were split into freezable and nonfreezable ejaculates based on the postthaw motility [20, 21]. Ejaculates having postthaw motility 40% and above were considered as freezable ejaculates whereas nonfreezable ejaculates were those having postthaw motility less than 40%.


#### 2.3.1. Computer-Assisted Semen Analysis (CASA)

The motility and velocity parameters were evaluated by Hamilton Thorne Sperm Analyser, version IVOS 11 (HTM-IVOS, Version 10.8, Hamilton Thorne Research, Beverly, MA, USA). This CASA system consists of a phase-contrast microscope, camera, minitherm heating stage, image digitizer, and computer for saving and analyzing the data. The software settings are shown in Table1.Table 1
Software settings of HTR IVOS 11 used in the study.
Parameters
Value
Chamber type
Leja 4
Temperature of analysis (°C)
37.0
Fields acquired
10
Frame rate (Hz)
60
Number of frames
30
Minimum static contrast
35
Minimum cell size (pixels)
5
Straightness (STR), thresholds (%)
70
VAP cut-off (μm/s)
30
Progressive minimum VAP (µm/s)
50
VSL cut-off (μm/s)
15
Cell intensity
80
Magnification
1.89After semen collection, the sperm concentration was first estimated using a phase-contrast microscope (Nikon, Eclipse 80i; 400 x magnification). 25μL of semen was diluted into 50–100 μL of Tris (formulated for bull semen) and 5 μL of this diluted semen was loaded into a prewarmed dual chamber disposable Leja slide and was allowed to settle on the minitherm heating stage (38°C) before the analysis.The following parameters such as percentage of FPM, NPM, TM, SM, VAP, VSL, VCL, ALH, BCF, and LIN were measured. A minimum of 200 spermatozoa from at least two different drops of each sample were analyzed from each specimen. The number of objects incorrectly identified as spermatozoa was manually removed and final analysis was done for each sample.


### 2.4. Statistical Analysis

The results were analysed statistically and expressed as the mean ± SEM. Significant difference between the freezable and nonfreezable semen ejaculates were estimated with Student’st-test using the SPSS/PC computer program (version 15.0; SPSS, Chicago, IL). Differences with values of P<0.05 were considered to be statistically significant after arcsine transformation of percentage data by using SPSS 15. Correlation between the motility and velocity parameters was established with correlation coefficient being done as per Pearson’s method. Differences at P<0.05 were considered to be statistically significant.


## 2.1. Experimental Animals

Ten apparently healthy mithun bulls of approximately 3 to 5 yrs of age were selected from the herd in mithun farm, National Research Centre on Mithun (ICAR), Jharnapani, Nagaland, India. The average body weight of these bulls was 501 kg (493 to 507 kg) at 3–5 yrs of age with good body condition (score 5-6) maintained under uniform feeding, housing, and lighting conditions. The study area lies between 25°54′30′′ North latitude and 93°44′15′′ East longitude and at an altitude range of 250–300 mean sea level. Each experimental animal was fed in this experiment as per the farm schedule. These were offered ad libitum drinking water, 30 kg mixed jungle forages (18.4% dry matter and 10.2% crude protein), and 4 kg concentrates (87.1% dry matter and 14.5% crude protein) daily fortified with mineral mixture and salt. During the study, all the experimental protocols met the Institutional Animal Care and Use Committee regulations.


## 2.2. Semen Collection, Incubation, and Evaluation

A total of 50 ejaculates were collected from ten bulls through rectal massage method. Briefly, massage was performed by back and forth hand motion over the ampulla, prostate, and seminal vesicles and then the urethralis muscles were rhythmically stroked [19] followed by the gentle milking of ampullae one by one, which resulted in erection and ejaculation. During collection, the initial transparent secretions were discarded and neat semen drops were collected in a graduated test tube with the help of a funnel. The ejaculates were evaluated and accepted for evaluation if the following criteria were met: concentration: >500 million/mL; mass activity: >3+, individual motility: >70%; and total abnormality: <10%. Immediately after collection, the samples were kept in a water bath at 37°C and evaluated for volume, colour, consistency, mass activity, and pH. After the preliminary evaluations, ejaculates were subjected to the initial dilution with prewarmed (37°C) Tris-citrate extender. The partially diluted samples were then brought to the laboratory in an insulated flask containing warm water (37°C) for further processing.


## 2.3. Sample Selection

These ejaculates were split into freezable and nonfreezable ejaculates based on the postthaw motility [20, 21]. Ejaculates having postthaw motility 40% and above were considered as freezable ejaculates whereas nonfreezable ejaculates were those having postthaw motility less than 40%.


### 2.3.1. Computer-Assisted Semen Analysis (CASA)

The motility and velocity parameters were evaluated by Hamilton Thorne Sperm Analyser, version IVOS 11 (HTM-IVOS, Version 10.8, Hamilton Thorne Research, Beverly, MA, USA). This CASA system consists of a phase-contrast microscope, camera, minitherm heating stage, image digitizer, and computer for saving and analyzing the data. The software settings are shown in Table1.Table 1
Software settings of HTR IVOS 11 used in the study.
Parameters
Value
Chamber type
Leja 4
Temperature of analysis (°C)
37.0
Fields acquired
10
Frame rate (Hz)
60
Number of frames
30
Minimum static contrast
35
Minimum cell size (pixels)
5
Straightness (STR), thresholds (%)
70
VAP cut-off (μm/s)
30
Progressive minimum VAP (µm/s)
50
VSL cut-off (μm/s)
15
Cell intensity
80
Magnification
1.89After semen collection, the sperm concentration was first estimated using a phase-contrast microscope (Nikon, Eclipse 80i; 400 x magnification). 25μL of semen was diluted into 50–100 μL of Tris (formulated for bull semen) and 5 μL of this diluted semen was loaded into a prewarmed dual chamber disposable Leja slide and was allowed to settle on the minitherm heating stage (38°C) before the analysis.The following parameters such as percentage of FPM, NPM, TM, SM, VAP, VSL, VCL, ALH, BCF, and LIN were measured. A minimum of 200 spermatozoa from at least two different drops of each sample were analyzed from each specimen. The number of objects incorrectly identified as spermatozoa was manually removed and final analysis was done for each sample.


## 2.3.1. Computer-Assisted Semen Analysis (CASA)

The motility and velocity parameters were evaluated by Hamilton Thorne Sperm Analyser, version IVOS 11 (HTM-IVOS, Version 10.8, Hamilton Thorne Research, Beverly, MA, USA). This CASA system consists of a phase-contrast microscope, camera, minitherm heating stage, image digitizer, and computer for saving and analyzing the data. The software settings are shown in Table1.Table 1
Software settings of HTR IVOS 11 used in the study.
Parameters
Value
Chamber type
Leja 4
Temperature of analysis (°C)
37.0
Fields acquired
10
Frame rate (Hz)
60
Number of frames
30
Minimum static contrast
35
Minimum cell size (pixels)
5
Straightness (STR), thresholds (%)
70
VAP cut-off (μm/s)
30
Progressive minimum VAP (µm/s)
50
VSL cut-off (μm/s)
15
Cell intensity
80
Magnification
1.89After semen collection, the sperm concentration was first estimated using a phase-contrast microscope (Nikon, Eclipse 80i; 400 x magnification). 25μL of semen was diluted into 50–100 μL of Tris (formulated for bull semen) and 5 μL of this diluted semen was loaded into a prewarmed dual chamber disposable Leja slide and was allowed to settle on the minitherm heating stage (38°C) before the analysis.The following parameters such as percentage of FPM, NPM, TM, SM, VAP, VSL, VCL, ALH, BCF, and LIN were measured. A minimum of 200 spermatozoa from at least two different drops of each sample were analyzed from each specimen. The number of objects incorrectly identified as spermatozoa was manually removed and final analysis was done for each sample.


## 2.4. Statistical Analysis

The results were analysed statistically and expressed as the mean ± SEM. Significant difference between the freezable and nonfreezable semen ejaculates were estimated with Student’st-test using the SPSS/PC computer program (version 15.0; SPSS, Chicago, IL). Differences with values of P<0.05 were considered to be statistically significant after arcsine transformation of percentage data by using SPSS 15. Correlation between the motility and velocity parameters was established with correlation coefficient being done as per Pearson’s method. Differences at P<0.05 were considered to be statistically significant.


## 3. Result and Discussion

The sperm motility and velocity parameters were evaluated by Hamilton Thorne Sperm Analyser and result was presented in Table2. The percent of TM and FPM were significantly (P<0.05) higher in freezable ejaculates than in nonfreezable ejaculates and NPM and SM were significantly higher in nonfreezable ejaculates than in freezable ejaculates. Similarly, velocity parameters were significantly (P<0.05) higher in freezable ejaculates than in nonfreezable ejaculates in mithun species. Thus, it may enhance the quality of semen by preserving efficiently during artificial insemination procedure. Similar report was observed in crossbred cattle [10, 22], Bali cattle [23], buffalo [13, 14], sheep [15], goat [16], boar [17], and dog [18].Table 2
Mean (±SE) motility and velocity parameters of freezable and nonfreezable ejaculates of mithun semen.
CASA parameters
Freezable semen (n=25)
Nonfreezable semen (n=25)
Forward progressive motility (%)
58.95 ± 3.68a
38.17 ± 3.44a
Nonprogressive motility (%)
17.47 ± 2.20b
20.23 ± 1.83a
Total motility (%)
76.52 ± 3.29b
58.40 ± 3.45a
Static sperms (%)
23.58 ± 3.38a
41.60 ± 3.46b
Curvilinear velocity (VCL) (μm/sec)
188.83 ± 4.65b
136.67 ± 4.88a
Straight line velocity (VSL) (μm/sec)
89.77 ± 3.49b
60.63 ± 3.82a
Average path velocity (VAP) (μm/sec)
118.58 ± 3.72b
88.45 ± 3.18a
Linearity (LIN) (%)
46.94 ± 1.53b
43.89 ± 1.96a
Straightness (STR) (%)
74.81 ± 2.28b
67.76 ± 2.78a
Wobble (WOB) (%)
62.85 ± 1.45
65.30 ± 1.98
Amplitude of lateral head displacement (ALH) (μm)
8.84 ± 1.18b
5.18 ± 1.35a
Beat/cross-frequency (BCF) (Hz)
28.23 ± 1.70b
22.54 ± 1.63a
Figures with same superscript (a, b) do not differ significantly in rows.The assessment of sperm motility using the conventional microscopical methods is difficult and subjective. High variations have been reported for the estimation of motility parameters of the same ejaculates [24]. CASA is an accurate technique used for the assessment of the motility and velocity parameters of mithun semen. High number of spermatozoa can be analysed individually in a short period of time [5].Compared with the results of report of others, the velocity parameters of mithun bulls were highly varied [9]. Motility and velocity parameters are varied with the factors such as age, time of collection, time between ejaculations, energy stores of sperm, presence of surface acting agents in the cell membrane such as agglutinins and detergents, viscosity, osmolarity, pH, temperature, ionic concentration of seminal plasma, and presence of the mineral elements like Cu, Zn, Mn, and hormones, prostaglandins, and so forth [25].The sperm mobility phenotype can be attributed to specific sperm velocity parameters of individual sperm as determined by CASA. The motion parameters such as VSL, LIN, and BCF contribute to the overall sperm motility characters in bulls, as these were all significantly (P<0.05) correlated with sperm mobility. In the present experiment, various types of sperm motility representing VCL, VSL, VAP, LIN, STR, WOB, ALH, and BCF were also significantly higher for the ejaculates classified as freezable compared with the nonfreezable ejaculates. The parameter LIN is a measure of linearity and the BCF motion parameter indicates the number of times the sperm track crosses the smoothed path, both of which indicate linear progression. Thus, spermatozoa in freezable ejaculates swim faster and straighter than did spermatozoa in nonfreezable ejaculates. This may be biologically significant because the sperm mobility phenotype on the basis of research with whole ejaculates is predictive of fertility [26, 27].Semen samples with high FPM and TM had significantly higher positive correlation with velocity parameters in freezable quality semen (Table3). The samples with high PFM had higher VAP, progressive velocity, and track speed. This was similar to the findings of Anil Kumar et al. [13] and Perumal et al. [10] for path velocity. The average path velocity was significantly and positively correlated with progressive velocity, track speed, and ALH. The high positive correlation observed between VAP, VSL, VCL, and ALH, between VSL and VCL, and between ALH with VAP, VSL, and VCL indicated that the velocity parameters were correlated and interrelated among them and with ALH. BCF was significantly and positively correlated with ALH. Anil Kumar et al. [13] and Perumal et al. [10] observed a positive correlation similar to the present study between BCF and ALH. ALH and BCF representing the head behaviour of the sperm are highly variable and mean values of these parameters were within the range. They also found a highly significant negative correlation between STR and WOB. A similar result was observed in the present study. In nonfreezable ejaculates of mithun semen, there was positive correlation between the PFM and VCL, VSL, VAP, LIN, STR, ALH, and BCF and negative correlation with SM and WOB. Similarly in freezable ejaculates, VCL is positively correlated with VSL, VAP, STR, ALH, and BCF and negatively correlated with WOB (Table 4). Similar result was reported by Anil Kumar et al. [13] and Perumal et al. [10].Table 3
Correlation between the motility and velocity parameters of sperm of freezable semen ejaculates of mithun.
FPM
NPM
TM
SM
VCL
VSL
VAP
LIN
STR
WOB
ALH
BCF
FPM
1.00
−0.52
0.92*
−0.93*
0.75*
0.85*
0.68*
0.68
0.66*
−0.40
0.67*
0.88*
NPM
1.00
−0.15
0.15
0.03
−0.05
0.03
−0.14
−0.17
0.16
0.03
−0.08
TM
1.00
−0.96*
0.86*
0.96*
0.78*
0.72*
0.68*
−0.39
0.79*
0.97*
SM
1.00
−0.87*
−0.95*
−0.77*
−0.73*
−0.70*
0.38
−0.81*
−0.95*
VCL
1.00
0.87*
0.96*
0.34
0.33
−0.23
0.96*
0.91*
VSL
1.00
0.78*
0.61
0.57
−0.33
0.82*
0.80*
VAP
1.00
0.24
0.14
0.02
0.98*
0.85*
LIN
1.00
0.91*
−0.43
0.25
0.67*
STR
1.00
−0.76*
0.17
0.62
WOB
1.00
−0.02
−0.34
ALH
1.00
0.85*
BCF
1.00
*Correlation coefficients were significant;P<0.05.Table 4
Correlation between the motility and velocity parameters of sperm of nonfreezable semen ejaculates of mithun.
FPM
NPM
TM
SM
VCL
VSL
VAP
LIN
STR
WOB
ALH
BCF
FPM
1.00
−0.38
0.96*
−0.95*
0.85*
0.90*
0.79*
0.75*
0.90*
−0.82*
0.78*
0.88*
NPM
1.00
−0.11
0.11
0.03
−0.09
−0.03
−0.25
−0.12
−0.10
0.01
−0.03
TM
1.00
−0.94*
0.92*
0.94*
0.85*
0.73*
0.93*
−0.91*
0.85*
0.94*
SM
1.00
−0.90*
−0.95*
−0.86*
−0.75*
−0.91*
0.90*
−0.86*
−0.95*
VCL
1.00
0.97*
0.98*
0.64*
0.87*
−0.92*
0.97*
0.98*
VSL
1.00
0.94*
0.82*
0.96*
−0.87*
0.93*
0.96*
VAP
1.00
0.62
0.81*
−0.82*
0.98*
0.95*
LIN
1.00
0.91*
−0.53
0.61
0.65
STR
1.00
−0.83*
0.81*
0.87*
WOB
1.00
−0.85*
−0.91*
ALH
1.00
0.94*
BCF
1.00
*Correlation coefficients were significant;P<0.05.Spermatozoa FPM along with certain velocity parameters are essential for the spermatozoa to achieve fertilization. Spermatozoa kinematic variables such as FPM, VSL, VCL, ALH, and LIN were correlated with bull fertility [9, 10]. A significantly higher VCL and ALH of the spermatozoa indicate major bending of the mid piece and large amplitude of lateral head displacement. This signifies the hyperactivation of the spermatozoa. Hyperactivation in turn implies high energy state of the spermatozoa, which is essential for sperm penetration through cervical mucus and fuse with the oocytes [11]. Spermatozoa motility and velocity reflect their mitochondrial function indirectly. In bovine, specific motion parameters have been reported to be related to fertility [7, 9], but the threshold levels for these motion characteristics have not yet been established to meet a general consensus.The CASA variable such as linearity or linear motility is higher indicating that spermatozoa have higher rate of fertilization potential in comparison to the total motility percentage [28] and semen samples containing such spermatozoa have higher fertility rates and pregnancy rates after artificial insemination [8]. In bovine artificial insemination industry, the minimum level of motility percentage required is 50 percent [29] and the freezable ejaculates have reached that threshold level, which shows that cryopreserved mithun semen was of acceptable quality.Recent findings suggested that assessment of motile spermatozoa in a semen sample may not be considered as a reliable index for semen evaluation. The objective and quantitative measurement of other sperm motion characteristics derived from observations of individual cells assessed by CASA have been found to be more efficient in predicting semen sample’s potential fertility [6]. These parameters are probably important for the progression of spermatozoa into cervical mucus and the penetration ofzona pellucida of oocytes [5]. Fertilization rates of human oocytesin vitro have been shown to correlate positively with sperm velocity [30]. In bovine, sperm velocity is highly correlated with the 59-day nonreturn rate [8]. In humans, VCL and BCF were significantly higher for spermatozoa which penetrated in sperm penetration assay than for those that failed to penetrate [31]. In addition to the use of computerized technique to predict semen fertility, CASA can be a useful tool to study the effects of variousin vitro procedures on sperm motility as well as phenomenon of sperm hyperactivation [32]. In present study, similar observation was reported.The results of present study were varied with other authors. This may be due to various factors such as semen collection method, initial quality of semen, method of processing of semen for CASA, time between the collection and analysis, setup of instrument in analysing of sample, accuracy of the sample chambers and number of the chambers, and field and sperm examined to provide sufficient statistical sampling materials analysed [33].


## 4. Conclusion

It was concluded from the present study that most of the sperm motility and velocity parameters of CASA were significantly higher in freezable ejaculates in comparison to the nonfreezable ejaculates of mithun. This indicates that freezable sperm has structural stability during the freezing and thawing procedure than the nonfreezable sperm that leads to freezable sperm having higher functional sperm structures to move faster and in the forward direction. Moreover CASA system proved its usefulness in routine evaluation of mithun semen especially in frozen semen bank.



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*Source: 675031-2014-08-18.xml*