Moribund sperm in frozen-thawed semen, and sperm motion end points post-thaw and post-swim-up, are related to fertility in Holstein AI bulls

The objectives were to compare testicular physical characteristics and post-thaw sperm characteristics and their associations with fertility in Holstein bulls used for AI. Ten Holstein bulls (4-5 y old) were classified as either high-fertility (HF) or low-fertility (LF; n = 5 each), based on adjusted 56-d non-return rates [non-return rate (NRR); range (mean ± SD): 55.6 ± 4.6 to 71.8 ± 1.3%). Testicular physical characteristics were not significantly different between the two groups. Four ejaculates were collected from each bull and cryopreserved. Several indexes of sperm motion (based on computer-assisted sperm analysis) at post-thaw and post-swim-up were correlated with NRR. Sperm from HF bulls were in transition to a hyperactivated motility pattern, whereas those from LF bulls had only a forward progressive motility pattern. In HF vs LF bulls, there was a greater percentage of viable sperm after thawing (60.6 ± 9.7 vs 49.5 ± 8.0%, P < 0.05) and after swim-up (70.9 ± 11.0 vs 63.0 ± 8.8%, P < 0.01); these two end points were positively correlated with fertility (r = 0.45, P < 0.01 and r = 0.78; P < 0.01, respectively). Furthermore, in HF vs LF bulls, the ratio of sperm recovered after swim-up to viable sperm in post-thaw semen was higher (P < 0.001), and the proportion of moribund sperm expressed as a percentage of live sperm differed (12.6 ± 3.4 vs. 16.4 ± 3.1%, P < 0.001) and was negatively correlated (r = −0.33, P < 0.05) with fertility. In conclusion, fertility of Holstein bulls maintained in a commercial AI center was not predicted by testicular physical characteristics, but it was associated with differences in moribund sperm in the inseminate, as well as characteristics of sperm post-thaw and after swim-up.     

Relationship between non-return rate and chromatin condensation of deep frozen bull spermatozoa

This study analyzes the relationship between chromatin condensation and field fertility, expressed as 90 days non-return rate (NRR), of bulls actively used by AI studs. Frozen-thawed semen from five bulls (six ejaculates per bull, three straws per ejaculate), that showed a non-return rate between 60 and 80%, were analyzed to assess sperm chromatin condensation and stability. The chromatin condensation was determined by flow cytometry using propidium iodide as fluorochrome, and the chromatin stability was evaluated by inducing its decondensation with SDS and EDTA. Coefficient of variation among replicates was less than 7% and 5% for chromatin condensation and stability, respectively. No correlation was present between chromatin condensation and NRR. However, significant correlation was found between chromatin stability and NRR. Chromatin stability was higher (P < 0.05) in those bulls that showed higher fertility. The results obtained in this study conclude that assessment of stability could be a valuable tool for routine evaluation and identification of ejaculates with high levels of sperm chromatin abnormalities and to detect animals of higher reproductive potential.     

What affects fertility of sexed bull semen more, low sperm dosage or the sorting process?

Until now it has been unclear to what extent the reduced fertility with sexed semen in the dairy industry is caused by too few sperm per AI dose, or by the effect of flow cytometric sorting, which is the established procedure for sexing semen. Therefore, we evaluated the effects of low sperm numbers per dose with and without sorting on non-return rates after 56 days (NRR56); in addition, we evaluated the effects of bulls, in order to further optimize use of sexed semen.Based on results of using sexed semen from seven Holstein bulls, an overall numerical decline of 13.6% in NRR56 was observed (P < 0.05). About two-thirds of this decline (8.6%) was due to the low dose (P < 0.05), and a third (5.0%) due to the process of sorting (P < 0.05). The effect of low dosage and sorting differed among bulls. We observed a sex ratio of 91.6% females for sexed semen from the first 131 calves born.Currently the best way to increase fertility of sexed semen is by closely monitoring fertility so that the highest fertility bulls are used, and by improving farm animal management. However, to make substantial progress, more in depth studies are needed on the sexing technology, especially on aspects such as sorting procedures and sperm dosage.     

Bovine pregnancy and nonreturn rates following artificial insemination using a covered sheath

Contamination transferred into the uterus from external genitalia during artificial insemination (AI) has been hypothesized to cause lowered bovine pregnancy rates (PR). Using aseptic techniques, there is still a possibility of uterine contamination during routine AI. Two experiments were conducted to evaluate the effect of two types of sheath covers (CS) placed over the conventional French Medium Syringe assembly (FMS) used for AI. Their use entailed passing the assembly to the external os of the cervix, pushing the FMS through the CS and manipulating the FMS to the cervical uterine junction in the normal manner. Fifty-six day non-return rate (NRR) in dairy and actual PR in beef cattle were evaluated. In Experiment 1, 30 professional technicians were employed to inseminate 7, 387 dairy cows, while in Experiment 2, six technicians with varying levels of experience inseminated 416 beef cows. Least-squares means for NRR in dairy cattle were 78% using a CS and 79% without. Means for PR in beef cattle were 57% using a CS and 62% without. In Experiment 2, the overall PR was lower in Trial l than in other trials (P<0.05). Since some technicians improved with time, the difference due to trial was attributed to technician variation in gaining experience with a CS. Results indicate that general use of a CS in routine AI of apparently healthy cows will not increase PR.     

Effects of Complex Vertebral Malformation on Fertility in Swedish Holstein Cattle

Complex vertebral malformation (CVM) is an autosomal recessive inherited defect in the Holstein breed. It causes intra-uterine mortality through the entire gestation period leading to repeat breeding and involuntary culling of cows and thereby economic losses. The defect was first reported in Denmark in 1999 and a direct DNA test for the defect has been available since February 2001. The aim of this study was to investigate if Holstein bulls heterozygous for the CVM gene had reduced reproductive performance, measured as non-return rate (NRR) and in a daughter fertility index. All genotyped Swedish Holstein bulls born between 1995 and 1999 were included. Altogether 228 bulls were analysed, of which 53 bulls, i.e. 23%, were confirmed CVM carriers. A statistically significant difference between carriers and non-carriers in the relative breeding value for NRR was observed for 168 days NRR (101.1 ± 0.9 vs. 103.1 ± 0.6, p < 0.05). There was no difference for 28 days NRR whereas the difference approached significance for 56 days NRR. No significant effect of the paternal CVM genotype on the daughter fertility index was shown probably due to the complexity of traits this index is composed of. In conclusion, the study showed that carriers of the CVM defect have an inferior NRR compared with non-carriers.     

Seasonal effects of semen collection and artificial insemination on dairy cow conception

The effects of four seasons of semen collection and of artificial insemination on conception in dairy cows were studied. The solstices and equinoxes (December, March, June and September) defined the beginning and/or end of each season. Semen was collected from 973 progeny-test bulls over 8 years at the two Norwegian AI stations at 60.8 degrees N and 63.4 degrees N where artificial light was used to provide a minimum photoperiod of 10 h/day. The effect of using semen of elite bulls during progeny testing and after selection as elite sires also was investigated. Norwegian Red (NRF) cows were inseminated over a 7-year period using progeny test semen and over the last 4 years of the same period using the semen of the elite sires. The probability of conception to only first inseminations for cows up to, and including, the fifth lactation was assessed by 56-day non-return rate (56d NRR) and calving rate. Two data sets were analysed which excluded cows culled within 270 days of AI or included such cows as non-calving. The reasons for culling were categorised as those for fertility problems or all other reasons. Semen was used for AI irrespective of the season in which it had been collected. Season of semen collection did not affect 56d NRR but calving rate was significantly higher (by 0.5-0.8%, approximately; P < 0.01) for semen collected in the December-March period, when photoperiod was increasing, than at other times of the year. The season in which AI was performed showed a peak of 56d NRR in spring for heifers (P < 0.01) and in summer for parous animals (P < 0.01). For calving rate, however, no seasonal peak was found in heifers, whereas pluriparous cows had much higher calving rates in summer and autumn/early winter than late winter and spring (P < 0.01). Semen of elite sires resulted in higher calving rates by 0.5 (NS) to 1.9% (P < 0.01) when used after selection than when used during progeny testing. The difference between the calving rate achieved when the semen from elite sires was used during progeny testing and after selection indicates that farmers select different classes of cows for submission to AI by progeny test bulls and sires. The 56d NRR was not as good as calving rate for assessing seasonal and other effects on conception rates.     

Danish A.I. field data with sexed semen

The objective of this study was to compare conception rates, non-return rates and sex ratios of sexed and conventional semen from the same sires in commercial dairy herds in Denmark. The semen was produced from three bulls from each of the three major dairy breeds in Denmark: Holstein, Jersey and Danish Red Dairy Breed (nine bulls total), in order to answer questions on breeds differences in field results. AI was performed by trained technicians using a minimum of 150 doses of sorted sperm and 50 control doses from each bull. During the trial, a total of 2087 doses were used in 63 herds.The trial showed that the conception rate using sorted semen was 5% points lower than with conventional doses for Danish Reds, 7% points for Jerseys, and 12% points for Holsteins. Translating this into non-return rate revealed differences of 10-20% points among bulls. These differences are thought to be a good indicator of what to expect from commercial use of sexed semen.The sex ratios varied from 89% to 93% female calves among breeds, which on average is consistent with the theoretical average sex ratio of 93% females considering the low number of inseminations.     

Artificial insemination of sheep: the fertility of semen extended in diluents containing egg yolk and inseminated soon after dilution or stored at 5 degrees C for 24 or 48 hours.

In an experiment involving the artificial insemination (AI) of 1175 ewes, ram semen was diluted 10- or 30-fold in a buffered glucosesaline solution containing either 1.5% or 6% (v/v) egg yolk. Part of each semen collection was used undiluted for control AI of 10⁸ sperm/dose. Diluted samples were reconcentrated to 10⁹ sperm/ml by centrifugation and, from these preparations, 10⁸ spermatozoa were inseminated in a standard volume of 100 μl. Fertility was assessed by 28–45 day non-returns to oestrus.The processes of dilution and reconcentration caused a significant drop in the non-return rate (NRR) and cooling to 5°C and storage for up to 48 hrs at this temperature gave a further large, and highly significant, reduction in NRR. There was no significant effect of level of egg yolk in the diluent on NRR.     

Relationship between bovine fertility and the number of spermatozoa penetrating the cervical mucus within straws

In this study, by using a recently developed test technique, the relationship between the total spermatozoa number penetrating determined sites of bovine cervical mucus in straws and potential fertility of bulls, and other spermatological characteristics were investigated. Furthermore, we aimed to determine the effect on the test results, of two different incubation temperatures (37 and 41 degrees C) and two sperm penetration distance ranges (PDRs). Frozen semen samples of six Holstein bulls were used in the study. The bulls were divided into two fertility groups (high and low fertility) according to the "non-return rates" (NRR). For the penetration test, cervical mucus was drawn into transparent plastic straws and incubated with semen at 37 and 41 degrees C for 15 min. After the incubation, straws were frozen in liquid nitrogen vapour and stored at -20 degrees C. On the evaluation day, concentrations of spermatozoa penetrated to the PDRs, each of which was 2.5 mm, between 32.5 and 35 mm (first penetration distance range, PDR1), and 50 and 52.5 mm (second penetration distance range, PDR2) distance in the straws from the open end, were measured. When compared with the low fertility group, bulls from the high fertility group showed a higher number of spermatozoa at the determined PDRs, and a significant positive correlation was found between the total number of spermatozoa at the penetration distances and the NRR scores of the bulls.     

Relationship between thirty post-thaw spermatozoal characteristics and the field fertility of 11 high-use Australian dairy AI sires

This study determined the relationship between two measures of field fertility of 11 high-use Australian artificial insemination (AI) dairy bulls and thirty standard laboratory assessments of spermatozoal post-thaw viability.The two measures of field fertility used, conception rates (cCR) and non-return rates (cNRR), were both corrected for all major non-bull variables. Sperm viability assessments were conducted on semen collected within the same season as that used to derive the field fertility estimates. These assessments measured sperm concentration, motility, morphology and membrane integrity at thawing, after 2h incubation and after the swim-up sperm selection procedure. Derivations of these measures and in vitro embryo fertilizing and developmental capacity were also determined. The Genstat Statistical Package [Genstat 5 Release 4.2 Reference Manual, VSN International, Oxford, 2000] was used to conduct an analysis of variance on the viability parameters across semen straws and bulls, and to calculate the strength of correlation between each semen parameter, cNRR and cCR in a correlation matrix. Step forward multiple regression identified the combination of semen parameters that were most highly correlated with cCR and with cNRR.The sperm parameters identified as being most predictive of cCR were the percentage of morphologically normal sperm immediately post-thaw (zeroNorm), the number of morphologically normal sperm after the swim-up procedure (nSuNorm), and the rate of zygote cleavage in vitro (Clv); the predictive equation formed by these parameters accounted for 70% of variance. The predictive equation produced for cNRR contained the variables zeroNorm, the proportion of membrane intact sperm after 2h incubation at 37 degrees C (twoMem) and Clv and accounted for 76.5% of the variation. ZeroNorm was found to be consistent across straws and semen batches within-bull and the sperm parameter with the strongest individual predictive capacity for both cCR (P=0.1) and cNRR (P=0.001). Post-thaw sperm parameters can be used to predict field fertility of Australian dairy sires; the calculated predictive equations are particularly useful for identifying and monitoring bulls of very high and very low potential fertility within a group.     

Assessment of sperm quality through fluorometry and sperm chromatin structure assay in relation to field fertility of frozen-thawed semen from Swedish AI bulls

We investigated fluorometry to study sperm viability and flow cytometry to study sperm chromatin structure. We also assessed sperm quality after thawing relative to field fertility after AI as shown by 56-day non-return rates (56-d NRR) Frozen-thawed semen samples were obtained from 20 Swedish Red and White bulls (1 to 3 semen batches/bull) and the fertility data were based on 6,369 AIs. Fluorometry enabled simultaneous detection of sperm viability and concentration in Hoechst 33258-stained semen samples. Sperm chromatin structure assay (SCSA) evaluated denaturability of sperm nuclear DNA in situ after acid treatment. The intensity of fluorescence in non-permeabilized samples was negatively (r = -0.60, P < 0.001) correlated with microscopically-assessed sperm viability, and the fluorescence of permeabilized semen samples significantly (r = 0.67, P < 0.001) correlated with sperm concentration as assessed by hemocytometry. From the fluorescence output, the calculated percentage of damaged cells was negatively (r = -0.71, P < 0.001) correlated with the number of live cells derived from the microscopic assessment of sperm viability and concentration. This variable was significantly correlated with fertility results both at batch (r = -0.39, P < 0.05), and bull (r = -0.57, P < 0.01) levels. The SCSA variables SDalphat and COMPalphat were significantly (r = -0.59-0.64, P < 0.001) correlated with sperm viability variables after thawing but only the COMPalphat correlated significantly (r = -0.53, P < 0.05) with fertility results and solely at the bull level. The results indicate that fluorometric assessment is in good agreement with other practiced procedures and can be performed with sufficient accuracy. The SCSA may be a valuable complement for routinely practiced microscopic evaluation of sperm morphology of AI bull semen     

Factors affecting commercial application of embryo technologies in New Zealand: a modelling approach

New reproductive technologies include sexed sperm and embryo-based technologies. The technology of sperm sexing, for various reasons, is not available in New Zealand and its use has not been modelled. Embryo technologies are however already in use on a limited scale and various scenarios for their use in both the dairy and beef industries in New Zealand have been modelled. This review briefly discusses the various technologies available and some of their potential strengths and weaknesses. In the dairy industry, modelling has been used to simulate the production of breeding bulls for large breeding companies and the production of replacement heifers in dairy herds. For the beef industry, similar modelling has been carried out to determine the opportunities for more efficient beef production.All the models confirmed that at current levels of performance, embryo-based reproductive technologies are usually not profitable in New Zealand except in niche market situations where the returns from the resulting offspring are significantly greater than can be obtained from natural mating or artificial insemination (AI) reproduction systems. This is confirmed by the low uptake of these technologies in this country to date. Even if performance lifts to levels similar to AI, profitability is likely to occur only if the costs of pregnancies to embryo-based reproductive technologies can occur at prices less than two to four times greater than AI or natural mating. This break-even requirement depends on the returns that can be achieved and the advantages that can be captured by the technology over and above those available from AI or natural mating. Two new uses for reproductive technologies in dairy cattle could be the proliferation of novel or rare genotypes from gene discovery programs and improving the female reproductive rate for optimal marker assisted selection. In both these uses the technology is not at present competing with AI or natural mating. The challenge exists therefore for the biological scientists to satisfy these requirements, coupled with the ethical and human factors involved in the introduction of any new technology.Potential end users of the technologies have been surveyed. They are quite positive about the technologies provided they can use them profitably and are keen to obtain more information about them.     

Effects of environmental factors, age and genotype on sperm production and semen quality in Bos indicus and Bos taurus AI bulls in Brazil

The effects of ambient temperature and humidity, month, age and genotype on sperm production and semen quality in AI bulls in Brazil were evaluated. Data from two consecutive years were analyzed separately. Seven Bos indicus and 11 Bos taurus bulls from one artificial insemination (AI) center were evaluated in Year 1 and 24 B. indicus and 16 B. taurus bulls from three AI centers were evaluated in Year 2. Ambient temperature and humidity did not significantly affect sperm production and semen quality, probably because there was little variation in these variables. Month accounted for less than 2% of the variation in sperm production and semen quality. Increased bull age was associated with decreased sperm motility (P<0.10) and increased minor sperm defects (P<0.001) in Year 1. B. indicus bulls had greater (P<0.005) sperm concentration than B. taurus bulls in both years (1.7×10⁹/ml versus 1.2×10⁹/ml in Year 1 and 1.6×10⁹/ml versus 1.2×10⁹/ml in Year 2, respectively). Ejaculate volume was not significantly affected by genotype in Year 1 (6.6 ml versus 6.9 ml in B. indicus and B. taurus bulls, respectively), but B. indicus bulls had greater (P<0.05) total (11.4×10⁹ versus 8.2×10⁹) and viable (6.7×10⁹ versus 4.9×10⁹) numbers of spermatozoa in the ejaculate than B. taurus bulls. In Year 2, B. taurus bulls had greater (P<0.05) ejaculate volume than B. indicus bulls (8.2 ml versus 6.7 ml, respectively) and total and viable number of spermatozoa in the ejaculate were not significantly different between genotypes (10.3×10⁹ versus 9.1×10⁹ and 6.1×10⁹ versus 5.4×10⁹ in B. indicus and B. taurus bulls, respectively). Sperm motility was not significantly affected by genotype (mean, 59%). In Year 1, B. indicus bulls tended (P<0.10) to have more major sperm defects and had more (P<0.05) total sperm defects than B. taurus bulls (11.8% versus 8.7% and 13.6% versus 10.0%, respectively). In Year 2, B. indicus bulls tended (P<0.10) to have more total sperm defects than B. taurus bulls (16.2% versus 13.3%, respectively). In conclusion, neither ambient temperature and humidity nor month (season) significantly affected sperm production and semen quality. B. indicus bulls had significantly greater sperm concentration and B. taurus bulls had significantly fewer morphologically defective spermatozoa.     

Semen assessment, fertility and the selection of Hereford bulls for use in AI

Nineteen young Hereford bulls were used to study the relationship between semen characteristics and fertility in artificial insemination following 15 320 inseminations. Seven measures of sperm motility, morphological abnormalities, the release of hyaluronidase, ATP content and sperm head measurements were examined as predictors of fertility (49-day fixed-interval non-return rate). Two assessments of motility, three categories of abnormal spermatozoa, acrosomal changes and the release of hyaluronidase had predictive power. Multiple regression analysis showed that a combination of sperm motility after dilution in saline, motility after thawing and the proportion of coiled tails and proximal protoplasmic droplets provided the best prediction of fertility and allowed bulls to be ranked in order of observed non-return rate (%) with a Spearman correlation better than +0.80.     

Sperm chromatin structure assay of bulls qualified for artificial insemination

The goal of our study was to find the relationship between fertility of bulls qualified for AI and the percentage of spermatozoa with abnormal chromatin structure as an independent parameter. We used the frozen semen of 8 mature bulls from one AI center. Each bull was represented by 3 ejaculates collected with at least 2-week intervals. Bull fertility was calculated on the basis of non-return ratio and was expressed as a scale where 100 points represented the average fertility of all the AI center's bulls. Bulls with lower or higher fertility received a lower or higher score respectively. Fertility scores of bulls used in the study ranged from 83 to 104 . Semen was processed according to the SCSA (sperm chromatin structure assay) method and was analyzed by flow cytometry. "Artificial" alpha(t) (alpha(t)=red/green+red fluorescence) and red fluorescence histograms were used for calculation of COMPalpha(t), SDalpha(t), %Red, %PeakR and MeanR parameters. The percentage of spermatozoa with abnormal chromatin ranged from 1.2% to 23.8%. A large variation among ejaculates was found for bulls with lower fertility. Fertility correlated significantly with COMPalpha(t) (-0.50, P < 0.05), SDalpha(t) (-0.55, P < 0.01), %Red (-0.53, P < 0.01), %PeakR (-0.58, P < 0.01) and MeanR (-0.45, P < 0.05). The SCSA method has a practical application in analyzing spermatogenesis disorders in bulls. If regularly applied, it allows us to identify and eliminate ejaculates with a high level of sperm chromatin abnormalities.     

Usefulness of a triple fluorochrome combination Merocyanine 540/Yo-Pro 1/Hoechst 33342 in assessing membrane stability of viable frozen-thawed spermatozoa from Estonian Holstein AI bulls

In a situation where technology allows for the simultaneous measurement of numerous parameters of a single sperm cell, it becomes crucial to choose those parameters which may be useful in estimating in vivo fertility. Sperm membrane destabilization is believed to occur during chilling of semen, although its effect on the post-thaw (PT) fertility of the spermatozoa has not yet been fully assessed. For this reason, we tested a new combination of fluorophores, Merocyanine 540 (M540)/Yo-Pro 1/Hoechst 33342 (H33342), to detect sperm plasma membrane destabilization in bull spermatozoa conventionally processed for artificial insemination (AI). The samples were tested by flow cytometry (FC), both immediately PT and following an in vitro swimup (SU) technique, and results were thereafter compared with conventional sperm quality measurements (of concentration, motility, morphology, and membrane integrity), including in vivo fertility. Semen samples from six Estonian Holstein (EHF) AI bulls, frozen when the sires were aged 3, 5, and 7 years, allowed us to test the effect of bull age on quality of semen. Plasma membrane stability correlated to motility, normal head morphology (p<0.05), and membrane integrity (p<0.01). Following the SU selection, motility, membrane integrity (p<0.001), and membrane instability increased (p<0.01), as did stability (p<0.05). Bull age did not influence the degree of sperm membrane destabilization, except for the 3-year sample versus 7-year sample, in which the proportion of spermatozoa with destabilized plasma lemma increased PT (p<0.05) without affecting membrane integrity. Only parameters measured after SU, such as proportion of total motile and linearly motile spermatozoa, assessed with computer-assisted sperm analysis (CASA) (p<0.01), average path velocity (VAP) (p<0.001), and percentage of spermatozoa with unstable plasma lemma (p<0.05), had a significant relationship with non-return rate (NRR). The results indicate that a triple combination of the fluorophores M540/Yo-Pro 1/H33342 is suitable for monitoring the status of membrane stability in frozen-thawed (FT) bull spermatozoa. As well, a SU preselection method seems helpful in distinguishing relationships between sperm quality and fertility among bulls in a homogenous sire population.     

Effect of cooling rates on post-thaw sperm motility, membrane integrity, capacitation status and fertility of dairy bull semen used for artificial insemination in Sweden

We studied the effects of 2 different cooling rates during equilibration of semen from room temperature to 4 degrees C, at 4.2 degrees C/min (control split sample) or at 0.1 degree C/min (treatment split sample) on in vitro sperm viability post thawing and fertility after AI. Forty batches of split-frozen semen from 14 dairy bulls (Swedish Red and White breed) aged 14 to 16 m.o. or 66 to 79 m.o. were evaluated post-thawing for sperm motility (visual and computer-assisted sperm analysis [CASA], membrane integrity (fluorescent microscopy and flow cytometry post-loading with the combined fluorophores Calcein AM/EthD-1 and SYBR-14/PI); acrosomal status (with Pisum sativum agglutinin [PSA] staining); and capacitation status (CTC-assay). Fertility values (56-d nonreturn rate) of the slow cooling batches (treatment) were 0.4% units higher than for faster cooled (control) batches, but the difference was not statistically significant. Fertility values for the older bulls were 1.6% units higher than for the group of younger sires. No statistically significant correlations were found between semen viability parameters assessed in vitro and 56-d nonreturn rate. Visually assessed sperm motility, membrane integrity, capacitation and acrosomal status post-thawing did not differ significantly between cooling procedures, however the percentage of motile spermatozoa and the kinetic characteristics of spermatozoa--average path velocity (VAP), straight path velocity (VSL) and curvilinear velocity (VCL)--assessed by CASA differed significantly between cooling procedures. The results indicate that most of the in vitro sperm viability parameters post-thawing and the fertility results for bulls after AI did not differ significantly between the 2 semen cooling procedures tested.     

Breeding soundness and libido examination of Belgian Blue and Holstein Friesian artificial insemination bulls in Belgium and The Netherlands

Data on breeding soundness and libido evaluations in Belgian Blue (BB) bulls are scarce. The present study compared results of breeding soundness and libido evaluations of young BB bulls to young Holstein Friesian (HF) bulls prior to acceptance into an AI program. Breed differences for breeding soundness exist between BB and HF bulls, as 93.7% of the young BB bulls failed the breeding soundness examination (BSE) compared to 59.3% of the HF bulls (P=0.0005). Within the BB breed, differences were present between bulls of different ages, and bull selection for better fertility with increasing age apparently influenced the results. The number of reasons for which bulls failed the test differed between the age groups in the BB breed, whereas a tendency for more failure reasons in the BB breed was noticed in the breed comparison. The most important reasons for failure were sperm morphology and scrotal circumference (SC), but far more BB bulls failed for these traits compared to the HF breed (82.8% versus 56.0% and 43.8% versus 17.6% in the BB and the HF breed for sperm morphology (P=0.0005) and SC (P<0.0001), respectively). The high proportion of BB bulls with a substandard SC and poor sperm morphology might suggest an increased prevalence of testicular hypoplasia or degeneration within this breed. Concerning libido, the reaction time did not differ either between breeds or between age groups within the BB breed, whereas mounting enthusiasm, although not different between the two breeds, did decline with increasing age, probably due to the greater mating experience of the older bulls. All in all, libido did not seem to be different between the breeds.     

Proteomic markers of low and high fertility bovine spermatozoa separated by Percoll gradient

In the context of artificial insemination, male fertility is defined as the ability to produce functional spermatozoa able to withstand cryopreservation. We hypothesized that interindividual variations in fertility depend on the proportion of the fully functional sperm population contained in the insemination dose. The objective of this study was to identify protein markers of the fully functional sperm subpopulation. Insemination doses from four high‐fertility (HF) and four low‐fertility (LF) bulls with comparable post‐thaw quality parameters were selected for proteomic analysis using iTRAQ technology. Thawed semen was centrifuged through a Percoll gradient to segregate the motile (high density [HD]) from the immotile (low density [LD]) sperm populations. Sperm proteins were extracted with sodium deoxycholate and four groups were compared: LD and HD spermatozoa from LF and HF bulls. A total of 498 unique proteins were identified and quantified. Comparison of HD spermatozoa from HF and LF bulls revealed that five proteins were significantly more abundant in the HF group (AK8, TPI1, TSPAN8, OAT, and DBIL5) whereas five proteins were more abundant in the LF group (RGS22, ATP5J, CLU, LOC616319, and CCT5). Comparison of LD spermatozoa from HF and LF bulls revealed that four proteins were significantly more abundant in the HF group (IL4I1, CYLC2, OAT, and ARMC3) whereas 15 proteins were significantly more abundant in the LF group (HADHA, HSP90AA1, DNASE1L3, SLC25A20, GPX5, TCP1, HIP1, CLU, G5E622, LOC616319, HSPA2, NUP155, DPY19L2, SPERT, and SERPINE2). DBIL5, TSPAN8, and TPI1 showed potential as putative markers of the fully functional sperm subpopulation.     

Relationships among frozen-thawed sperm characteristics assessed via the routine semen analysis, sperm functional tests and fertility of bulls in an artificial insemination program

Frozen semen specimens from 22 Holstein bulls representing a wide range of field fertility levels or nonreturn rates (NRR) were used in this study. Semen specimens were thawed at 37 degrees C for a minimum of 30 sec, followed by assessment via a routine semen analysis (RSA) and other sperm functional tests. The RSA was performed by assessing sperm count, motility and morphological characteristics. Other sperm functional tests were performed by assessing the acrosomal membrane integrity, sperm penetration into the cervical mucus and the sperm membrane functional integrity. Following assessment of sperm characteristics, the fertility data of the various bulls were compared to the RSA and the functional tests results. Bulls of high and low fertility were similar in terms of sperm count and progressive motility (P > 0.05). Other characteristics measured by the RSA and functional tests were significantly higher in high fertility bulls (P < 0.05). Correlation coefficients among the various sperm characteristics and fertility of bulls were highly significant (P < 0.01). The highest correlation coefficients between sperm characteristics and fertility were obtained for motility (r = 0.53; P < 0.01), normal morphology (r = 0.59; P < 0.01) and swollen spermatozoa (r = 0.57; P < 0.01). Analysis of specific sperm swelling patterns showed that those patterns considered to reflect maximal sperm swelling were indicative of high fertility.