Sire Fertility Research Articles

Sperm fertilizing ability in vitro influences bovine blastocyst miRNA content

MicroRNAs (miRNAs) are small highly conserved non-coding RNA molecules that orchestrate a wide range of biological processes through post-transcriptional regulation of gene expression. During development, miRNAs play a key role in driving embryo patterning and morphogenesis in a specific and stage-dependent manner. Here, we investigated whether sperm from bulls with different fertilizing ability in vitro influence blastocyst quality and miRNA content. Results demonstrate that blastocysts obtained using sperm from high fertility sires (H group) display significantly greater cleavage and blastocyst development as well as greater transcript abundance in blastocysts for the developmental competence markers CDX2, KRT8, NANOG, OCT4, PLAC8, PTGS2, SOX17, and SOX2, compared to blastocysts generated using sperm from low fertility sires (L group). In parallel, high throughput deep sequencing and differential expression studies revealed that H blastocysts exhibit a greater miRNA content compared to L blastocysts, with hsa-miR-4755–5p and hsa-miR-548d-3p uniquely detected in the H group, and greater abundance of hsa-miR-1225–3p in the H group. Gene ontology (GO) and KEGG pathway analyses indicated that the 3 differentially expressed miRNAs identified are involved in the regulation of many biological mechanisms with a key role in aspects of early embryo development, including transcriptional regulation, cellular biosynthesis, nucleic acid metabolism, cellular differentiation, apoptosis, cytoskeleton remodeling, cell-to-cell interactions, and endocytosis. Overall, our results indicate that sperm fertilizing ability influences blastocyst developmental ability and miRNA content. In addition, we demonstrate an association between blastocyst quality and miRNA content, thus suggesting the possibility to score miRNA expression as biomarkers for improved routine embryo selection technologies to support assisted reproductive efforts.

Immunoblot analysis of antibodies obtained from rabbits immunized with a synthetic Binder of Sperm Protein-1 (BSP-1) epitope

This study aims to analyze whether antibodies produced through multiple vaccinations of a synthetic Binder of Sperm Protein-1 (BSP-1) epitope to local rabbits, can react against BSP-1 found in the ruminant sperm. BSP-1 is one of the biomarkers suggested to authenticate sire fertility. The method used was immunoblot assay against frozen semen of Bali cattle and local buffalo, also against the extracts of the caput-, and cauda- epididymis, as well as the testis of the buffalo. Analyses showed that the antibodies reacted to antigens found in the frozen semen of cattle and buffalo. The most notable result was that the antibody reacted specifically to buffalo frozen semen. No reactions occurred to the extracts of the caput-, and cauda-epididymis, as well as to the testis of the buffalo. Further research is needed to ascertain whether the antibody can be used to develop a sire fertility detection kit.

Expression and Role of PIWI Proteins and piRNAs in Reproduction of Water Buffalo (Bubalus bubalis, Linn.)

High-fertile and productive dairy animals are important to satisfy the growing population's demand. Sire fertility is one of the essential factors that regulate the overall pregnancy rate of dairy herds. However, sire fertility varies from 10 to 90%, suggesting that male fertility largely accounts for varying fertility levels across the herd. Sub-fertile bulls and females should be identified and discarded promptly to improve the dairy herd's productivity. The most dominant factors implicated in culling are poor semen quality, poor semen freezability (<35% post-thaw motility), and poor libido for the bulls and hard breeders for females that cause huge economic loss to the raisers. Understanding the basic mechanism of male and female fertility has undergone tremendous change in recent times owing to the advancement of molecular tools judging the essential molecules responsible for fertility. Presently, a new molecular niche has surfaced in testes, strongly influencing the fertilization potential of spermatozoa. Over the last decade, there has arrived a conclusion that out of several factors, piRNA and PIWI proteins are largely implicated in regulating the vital aspects of fertility and embryogenesis. While this development is advancing in other animals, very limited information is available on PIWI protein and piRNAs in large animals. Except for a few sporadic information on PIWI protein in cattle, very limited information is available on piRNAs and PIWI protein in regulation with buffalo bull fertility and growth of embryos of buffaloes, posting a huge demand for research.

Genetic Study to Establish the Relationship between Sire Fertility and Daughter Performance Traits among Murrah Buffaloes

Background: Bull fertility assumes a vital part in bovine reproduction. Since selection intensity of bulls picked for breeding programs in dairy industry is high as they can sire extensively larger counts of offspring as compared to their female counterparts. Therefore the present study was designed to establish the relationship between the sire fertility and performance traits of the Murrah buffaloes. Methods: A total of 12898 observations were recorded with respect to routine seminal parameters from 130 Murrah breeding bulls spanning between 1995 and 2019 (25 years). Data consisted of 2161 records of 305 days milk yield (305 MY) and lactation length (LL), 2160 records of lactation milk yield (LMY), 2155 records of peak milk yield (PMY), 1905 records of average fat percentage (FP), 1542 records of service period (SP) and 1914 records of conception rate (CR) have been utilized for the current study. Breeding values with respect to 33 Murrah buffalo bulls were taken for the correlation studied and for further ranking of the sires. Result: Average mean values of seminal parameter viz. ejaculated volume (EV), colour (Col), consistency (Con), log sperm concentration (LSC), mass activity (MA), initial motility (IM) and Post-Thaw Motility (PTM) were as 3.25±0.01 (ml), 3.50±0.01 (0-5 scale), 2.52±0.04 (0-5 scale), 3.11±0.01, 2.25±0.01 (0-5 scale), 64.22±0.15 and 38.62±0.19 (%) respectively. The arithmetic means of LMY, 305 MY, PY, LL, FP, CR and SP were calculated to be 2343.33±17.77, 2142.13±13.77, 12.57±0.06, 328.41±2.11, 7.39±0.01, 0.52±0.09 and 166.36±2.75, respectively. The sire rank correlation between the seminal attributes and performance traits was ranged between -0.57±0.15 (ejaculate volume and lactation milk yield) and 0.49±0.16 (semen consistency and lactation milk yield). Association between the fertility using routine semen quality parameters would be helpful to assess the bull fertility which lead to the improvement in the herd fertility.

Influence of sire fertility status on conceptus-induced transcriptomic response of the bovine endometrium.

The aim was to examine the effect of sire fertility status on conceptus-induced changes in the bovine endometrial transcriptome. To generate elongated conceptuses, Day 7 blastocysts produced in vitro using frozen-thawed sperm from Holstein Friesian bulls (3 High fertility, HF and 3 Low fertility, LF) were transferred in groups of 5–10 into synchronized heifers (n = 7 heifers per bull) and recovered following slaughter on Day 15. Day 15 endometrial explants recovered from the uterine horn ipsilateral to the corpus luteum were recovered from synchronized cyclic heifers (n = 4). Explants from each heifer were co-cultured for 6 h in RPMI medium alone (Control) or with 100 ng/ml ovine recombinant interferon tau (IFNT) or with a single conceptus from each HF or LF bull. After 6 h, explants were snap frozen and stored at −80°C. Extracted mRNA was subjected to RNA-seq and the resulting data were analyzed with R software. The numbers of differentially expressed genes (DEG; FDR<0.05) were: HF vs. Control: 956; LF vs. Control: 1021; IFNT vs. Control: 1301; HF vs. LF: 2. Unsurprisingly, the majority of DEG (658) were common to all comparisons and were related to IFNT-induced changes in the endometrium. Prior to applying the adjusted p-value, there were 700 DEG between HF and LF, with 191 and 509 genes more expressed in HF or LF, respectively (p < 0.05). Overrepresentation analysis of KEGG pathways (FDR<0.05), revealed that DEG with higher expression in LF were involved in cell cycle and proteolysis, while those upregulated DEG by HF conceptuses were strongly associated with immune process pathways, such as TNF, NF-kappa B, cytokine-cytokine receptor interaction, and TLR signaling. These pathways were also enriched by DEG upregulated by IFNT compared to the Control. Furthermore, only the HF, and not the LF group, affected the expression of most genes in these pathways (p < 0.05) according to a negative binomial regression model. Finally, a weighted gene co-expression network analysis revealed two clusters of co-expressed genes associated with the HF conceptuses (p < 0.05), which were also enriched for the aforementioned pathways. In conclusion, HF conceptuses, similar to IFNT treatment, stimulated multiple pathways involved in immune response, which were apparently not affected by LF conceptuses.

Deciphering the genetic basis of male fertility in Italian Brown Swiss dairy cattle

Improving reproductive performance remains a major goal in dairy cattle worldwide. Service sire has been recognized as an important factor affecting herd fertility. The main objective of this study was to reveal the genetic basis of male fertility in Italian Brown Swiss dairy cattle. Dataset included 1102 Italian Brown Swiss bulls with sire conception rate records genotyped with 454k single nucleotide polymorphisms. The analysis included whole-genome scans and gene-set analyses to identify genomic regions, individual genes and genetic mechanisms affecting Brown Swiss bull fertility. One genomic region on BTA1 showed significant additive effects. This region harbors gene RABL3 which is implicated cell proliferation and motility. Two genomic regions, located on BTA6 and BTA26, showed marked non-additive effects. These regions harbor genes, such as WDR19 and ADGRA1, that are directly involved in male fertility, including sperm motility, acrosome reaction, and embryonic development. The gene-set analysis revealed functional terms related to cell adhesion, cellular signaling, cellular transport, immune system, and embryonic development. Remarkably, a gene-set analysis also including Holstein and Jersey data, revealed significant processes that are common to the three dairy breeds, including cell migration, cell–cell interaction, GTPase activity, and the immune function. Overall, this comprehensive study contributes to a better understanding of the genetic basis of male fertility in cattle. In addition, our findings may guide the development of novel genomic strategies for improving service sire fertility in Brown Swiss cattle.

118&#x2003;Influence of sire fertility status on conceptus-induced transcriptomic response of the bovine endometrium.

Reproduction, Fertility and Development is an international journal publishing original research , review and comment in the fields of reproduction and developmental biology in humans, domestic animals and wildlife

Sperm proteins ODF2 and PAWP as markers of fertility in breeding bulls.

Low fertility is the single most important factor limiting livestock reproductive performance, adversely affecting the cattle industry and causing millions of dollars of economic loss. In the livestock industry, male fertility is of crucial importance for the reproductive performance of livestock. However, there is a lack of reliable biomarkers to predict bull fertility in artificial insemination service. The objective of this study was to identify sperm proteins as biomarkers for bull fertility. To discover candidate sperm quality biomarkers, sperm proteome profiling was conducted in extreme high- and extreme low-fertile bulls selected from a pool of 1000 AI sires with varied fertility. Thirty-two differentially expressed proteins were identified. Among them, high levels of sperm outer dense fiber of sperm tails 2 (ODF2) and post-acrosomal assembly of sperm head protein (PAWP/WBP2NL) represented the most extreme differences in quantity between high- and low-fertility bulls. Protein immunodetection and flow cytometry used to validate these putative fertility markers in a combined cohort of 154 AI sires. Both ODF2 and PAWP correlated significantly with fertility. In conclusion, ODF2 and PAWP can be used to assess semen quality and predict sire fertility.

PSV-8 Sire field fertility does not correlate with sire conception rate (SCR) score

Abstract Accurate sire fertility evaluation remains a significant challenge in the livestock industry. Sire conception rate (SCR) has been used since 2008 in the dairy industry to rank sire fertility. The objective was to characterize individual sire pregnancy rate, pregnancy loss, and determine the correlation with the sire’s respective SCR. Our main hypothesis is that large variances in fertility parameters by sire cannot be explained by variance of the SCR values. Data from 6,570 timed artificial inseminations (AI) and 25,287 timed embryo transfers (ET) from 55 dairy farms were retrospectively analyzed to assess: pregnancy rate at day 30 (P30), pregnancy rate at day 60 (P60) and pregnancy loss (PL) during this interval. The effect of sire (AI: n = 39; ET: n = 81) for each reproductive parameter was evaluated. SCR records published prior to individual service were obtained to correlate with fertility parameters. For AI mating, pregnancy rate at P30 was 33.13% (2,177/6,570), and 27.6 % for P60 (1,815/6,570) and PL occurred in 16.6% (362/2,177) of pregnancies. Large variance was observed between sires for each parameter but no or negligible correlation (r &amp;lt; 0.2) with published SCR was observed. For ET, pregnancy rate at P30 was 47.8% (12,082/25,287) and 40.5% for P60 (10,246/25,287) with an overall PL of 15.2% (1,836/12,082). Similar to AI, all fertility parameters were highly variable among sires but no or negligible correlation (r &amp;lt; 0.03) with respective SCR was observed. In summary, the current method to evaluate sire fertility using SCR does not truly represent the field fertility status. Large variance in pregnancy loss between days 30 and 60 of gestation were observed among sires and these phenotypes should be considered when evaluating sire fertility to increase the score reliability.

Commercial application of flow cytometry for evaluating bull sperm

Artificial insemination using semen from genetically superior sires remains one of the most effective biotechnologies ever commercialized for animal breeding purposes. Genetic progress, however, cannot begin until conception occurs. Processing laboratories that provide cryopreserved bull semen for commercial use depend on in vitro assays of semen quality to identify samples that are expected to result in less than desirable conception rates. These identified samples are discarded, rather than released to salable inventories, with the desired effect of minimizing variance in field fertility among both sires and individual collections. Although the industry was successfully founded on subjective assessment of motility and acrosome integrity, flow cytometric and computer-assisted sperm analysis offer more objective and repeatable measures of sperm quality attributes. Albeit more expensive to implement, the increased precision and repeatability when using these objective assays lends to greater confidence in the accuracy of decisions for individual collections and (or) bulls. The efficacy of a quality control program is evidenced by the range in sire fertility estimates calculated from field fertility data, which have historically indicated >90% of all sires achieve fertility deviation within ±3% points of the breed average. This impressive precedent implies somewhat limited opportunity for transition to objective assessments to have a meaningful impact on an already narrow range of fertility distributions. Nonetheless, flow cytometric assessments of novel attributes of sperm quality hold promise for detection of truly sub-fertile sires (deviations < −3) that presently elude detection with use of existing semen bioassays.

Evaluation of bull fertility in Italian Brown Swiss dairy cattle using cow field data

Dairy bull fertility is traditionally evaluated using semen production and quality traits; however, these attributes explain only part of the differences observed in fertility among bulls. Alternatively, bull fertility can be directly evaluated using cow field data. The main objective of this study was to investigate bull fertility in the Italian Brown Swiss dairy cattle population using confirmed pregnancy records. The data set included a total of 397,926 breeding records from 1,228 bulls and 129,858 lactating cows between first and fifth lactation from 2000 to 2019. We first evaluated cow pregnancy success, including factors related to the bull under evaluation, such as bull age, bull inbreeding, and AI organization, and factors associated with the cow that receives the dose of semen, including herd-year-season, cow age, parity, and milk yield. We then estimated sire conception rate using only factors related to the bull. Model predictive ability was evaluated using 10-fold cross-validation with 10 replicates. Interestingly, our analyses revealed that there is a substantial variation in conception rate among Brown Swiss bulls, with more than 20% conception rate difference between high-fertility and low-fertility bulls. We also showed that the prediction of bull fertility is feasible as our cross-validation analyses achieved predictive correlations equal to 0.30 for sire conception rate. Improving reproduction performance is one of the major challenges of the dairy industry worldwide, and for this, it is essential to have accurate predictions of service sire fertility. This study represents the foundation for the development of novel tools that will allow dairy producers, breeders, and artificial insemination companies to make enhanced management and selection decisions on Brown Swiss male fertility.

Innovative technologies of dairy cattle reproduction

The American company for the reproduction of dairy cattle – World Wide Sires was formed in 1976 in the United States, and its subsidiary World Wide Sires Russia – in 2006 in the Russian Federation. Over the past decades the average milk yield of cows has been increased significantly, but their fertility has been decreased. A comparison of the DNA of cows producing about 20,000 kg of milk and more than 1,000 kg of milk fat per lactation has shown a genetic association between the milk yield of cows and the fertility of breeding sires. Therefore, one of the directions of the company’s development is the development of innovative technologies for improving reproduction with the genetic improvement of breeding traits of breeding sires. Improving the fertility of Holstein sires and their high-quality semen are the main conditions for solving problems related to the reproductive function of animals. Application of index selection programs, including OptiFeed (optimal feeding), Production-max (best production), Fertility (high reproduction capacity), etc. are powerful lever of herd management. All available genetic indexes are directly or indirectly included in the general index of breeding value of the sire – TPI. One of the methods of refining the index system is the use of ultrasexed semen with 4 million sperm cells in a dose, which increases fertilization in heifers and cows by 5 and 6 %, respectively. Another method of refi ning the index system was the definition of inbreeding. For example, an increase in inbreeding by 1 % led to a decrease in the dollar profit index NM$ by 24 points, added 36 undesirable days to the age of the first calving, reduced productive life by 13 days, reduced milk yield by an average of 358 kg of milk and 11,3 kg of milk protein per lactation. The cost of each additional day of the open days’ period after the start of the hunt ranged from 220 to 370 rubles loss per 1 cow per year.

113 Genetics Industry Infrastructure: How Are Artificial Insemination Organizations Adapting to Changes in the Beef Industry?

Abstract Cattle artificial insemination (AI) organizations are adapting quickly to changes within the beef industry domestically and abroad. Specifically, the increasing utilization of beef bulls, predominately Angus, in dairy herds to create terminal crossbred calves for beef underlies the majority of the changes and challenges. The procurement, management, and collection of beef sires on a commercial scale has become commonplace for AI organizations, and the subsequent optimization of beef sire housing, nutritional requirements, behavior surrounding semen collection, semen production ability, semen quality, and fertility is being examined. At one large AI organization, Angus sires are proving capable of producing as much semen as their dairy counterparts while being collected year-round to meet market demand. However, the percentage of collections that qualify for sale is ≤80% in beef bulls compared to &amp;gt;90% in Holstein bulls based on acceptable semen quality as determined by post-thaw computer-assisted motility analyses, flow cytometric viability assays, and visual sperm morphological assessment (Select Sires, Inc., unpublished). Large numbers of inseminations using beef sires, combined with reliable data recording on dairies, is allowing for precision management tools and sire fertility estimates to be generated. For example, the Council on Dairy Cattle Breeding (CDCB) recently applied the Sire Conception Rate (SCR) evaluation’s statistical model to Angus bulls used to inseminate Holstein cows and reported similar conception rates to Holstein sires used to inseminate Holstein cows (33.8% versus 34.3%, respectively). AI organizations have also begun to implement research, create products, and establish new supply chains to proactively account for dairy farms supplying crossbred or purebred (via embryo transfer) beef animals to calf ranches, feed yards, and packer networks. Examples include purebred commercial beef embryo sales, research on rearing crossbred beef calves, generating novel value-based (grid pricing) markets for crossbred calves, and facilitating traceability programs for packers.

Sire contribution to fertilization failure and early embryo survival in cattle

Despite passing routine laboratory tests of semen quality, bulls used in artificial insemination (AI) exhibit a significant range in field fertility. The objective of this study was to determine whether subfertility in AI bulls is due to issues of sperm transport to the site of fertilization, fertilization failure, or failure of early embryo or conceptus development. In experiment 1, Holstein-Friesian bulls (3 high fertility, HF, and 3 low fertility, LF) were selected from the national population of AI bulls based on adjusted fertility scores from a minimum of 500 inseminations (HF: +4.37% and LF: -12.7%; mean = 0%). Superovulated beef heifers were blocked based on estimated number of follicles at the time of AI and inseminated with semen from HF or LF bulls (n = 3-4 heifers per bull; total 19 heifers). Following slaughter 7 d later, the number of corpora lutea was counted and the uteri were flushed. Recovered structures (oocytes/embryos) were classified according to developmental stage and stained with 4',6-diamidino-2-phenylindole to assess number of cells and accessory sperm. Overall recovery rate (total structures recovered/total corpora lutea) was 52.6% and was not different between groups. Mean (± standard error of the mean) number of embryos recovered per recipient was 8.7 ± 5.2 and 9.4 ± 5.5 for HF and LF, respectively. Overall fertilization rate of recovered structures was not different between groups. However, more embryos were at advanced stages of development (all blastocyst stages combined), reflected in a greater mean embryo cell number on d 7 for HF versus LF bulls. Number of accessory sperm was greater for embryos derived from HF than for LF bulls. The aim of experiment 2 was to evaluate the effect of sire fertility on survival of bovine embryos to d 15. Day 7 blastocysts were produced in vitro using semen from the same HF (n = 3) and LF (n = 3) bulls and transferred in groups of 5-10 to synchronized heifers (n = 7 heifers per bull; total 42 heifers). Conceptus recovery rate on d 15 was higher in HF (59.4%,) versus LF (45.0%). Mean length of recovered conceptuses for HF bulls was not affected by fertility status. In conclusion, while differences in field fertility among AI sires used in this study were not reflected in fertilization rate, differences in embryo quality were apparent as early as d 7. These differences likely contributed to the higher proportion of conceptuses surviving to d 15 in HF bulls.

63 Effect of sire conception rate on bovine early embryo development

Currently, the only measure of sire fertility in the bovine is sire conception rate (SCR), which is determined by Day 70 pregnancy diagnosis and not reflective of early embryo development. Therefore, this study aimed to establish the relationship between SCR and early embryo development. In the first experiment, 65 sires of negative (&amp;lt;−1, n=25), average (−1 to 1, n=19), and high (&amp;gt; +1, n=21) SCR were characterised for their ability to produce embryos using an invitro embryo production (IVP) system. For each sire, 100 cumulus–oocyte complexes (COCs) were used. COCs were matured for 22h, fertilized by co-incubation with sperm selected from density gradient centrifugation for 18h, and then placed in culture medium. A sire of known IVP performance was used as a control in each run. Cleavage and blastocyst rates (BL) were measured on Days 3 and 8 post-insemination, respectively. Photographs were taken on Days 3, 5, and 8 to identify arrest stages of non-blastocyst embryos. Sires were ranked based on their blastocyst rate and grouped into quartiles for statistical analysis. Differences in BL were determined by ANOVA using sire, IVP run, and a sire×IVP run interaction. In addition, the correlation between SCR and BL was determined. All data were analysed using SAS software version 9.4 (SAS Institute Inc.). Mean BL between each quartile was significant (P&amp;lt;0.05), with rates ranging from 8 to 22% and 32 to 62% for the lowest and highest quartile, respectively. There was no correlation (P=0.90) between SCR and BL. Arrest stage was measured by subtracting the number of Day-8 blastocysts from, first, embryos that were morulas on Day 5, and then embryos that were 8- to 16-cell stage embryos on Day 5. This method is based on the assumption that embryos closer to the blastocyst stage on Day 5 are more likely to contribute to the Day 8 blastocyst population. The most frequent arrest stage was the 4- to 6-cell stage (39/52 sires). It has been shown that decreased rates of autophagy are associated with embryonic arrest at the 4- to 8-cell stage in humans, leading us to investigate this mechanism in the second experiment. Select high (n=3) and low (n=4) performing sires identified in experiment 1 were used to generate 4- to 6-cell embryos, and autophagy rates were measured using live immunofluorescence with CYTO-ID autophagy dye (n=20 embryos/sire). The mean fluorescent intensity of each embryo was divided by the number of cells within the embryo. Differences in autophagy between high and low sires were determined by ANOVA using SAS. Interestingly, low-performing sires had a significantly higher autophagy rates than high-performing sires (77.8±3.1 vs. 50.0±3.5). This could indicate that embryos produced with low-performing sires had higher levels of stress than their counterparts. In summary, the effect of sire on embryonic development seems to be independent of the SCR classification. The most common arrest stage observed is the 4- to 6-cell stage, right before embryonic genome activation. Further research is required to elucidate the mechanisms by which sires influence pre-implantation development. This research was supported by USDA-NIFA AFRI Competitive Grant No. 2019-67015-28998.

Investigating conception rate for beef service sires bred to dairy cows and heifers

The widespread use of sexed semen on US dairy cows and heifers has led to an excess of replacement heifers' calves, and the sale prices for those calves are much lower than in the past. Females not selected to produce the next generation of replacement heifers are increasingly being bred to beef bulls to produce crossbred calves for beef production. The purpose of this study was to investigate the use of beef service sires bred to dairy cows and heifers and to provide a tool for dairy producers to evaluate beef service sires' conception. Sire conception rate (SCR) is a phenotypic evaluation of service sire fertility that is routinely calculated for US dairy bulls. A total of 268,174 breedings were available, which included 36 recognized beef breeds and 7 dairy breeds. Most of the beef-on-dairy inseminations (95.4%) were to Angus (AN) bulls. Because of the limited number of records among other breeds, we restricted our final evaluations to AN service sires bred to Holstein (HO) cows. Service-sire inbreeding and expected inbreeding of resulting embryo were set to zero because pedigree data for AN bulls were unavailable. There were 233,379 breedings from 1,344 AN service sire to 163,919 HO cows. A mean (SD) conception rate of 33.8% (47.3%) was observed compared with 34.3% (47.5%) for breedings with HO sires mated to HO cows. Publishable AN bulls were required to have ≥100 total matings, ≥10 matings in the most recent 12 mo, and breedings in at least 5 herds. Mean SCR reliability was 64.5% for 116 publishable bulls, with a maximum reliability of 99% based on 25,217 breedings. Average SCR was near zero (on AN base) with a range of -5.1 to 4.4. Breedings to HO heifers were also examined, which included 19,437 breedings (443 AN service sire and 15,971 HO heifers). A mean (SD) conception rate of 53.0% (49.9%) was observed, compared with 55.3% (49.7%) for breedings with a HO sire mated to a HO heifer. Beef sires were used more frequently in cows known to be problem breeders, which explains some of the difference in conception rate. Mean service number was 1.92 and 2.87 for HO heifers and 2.13 and 3.04 for HO cows mated to HO and AN sires, respectively. Mating dairy cows and heifers to beef bulls may be profitable if calf prices are higher, fertility is improved, or if practices such as sexed semen, genomic testing, and improved cow productive life allow herd owners to produce both higher quality dairy replacement and increased income from market calves.

Across-country genomic prediction of bull fertility in Jersey dairy cattle

The use of information across populations is an attractive approach to increase the accuracy of genomic predictions for numerically small breeds and traits that are time-consuming and difficult to measure, such as male fertility in cattle. This study was conducted to evaluate genomic prediction of Jersey bull fertility using an across-country reference population combining records from the United States and Australia. The data set consisted of 1,570 US Jersey bulls with sire conception rate (SCR) records, 603 Australian Jersey bulls with semen fertility value (SFV) records and SNP genotypes for roughly 90,000 loci. Both SCR and SFV are evaluations of service sire fertility based on cow field data, and both are intended as phenotypic evaluations because the estimates include genetic and nongenetic effects. Within- and across-country genomic predictions were evaluated using univariate and bivariate genomic best linear unbiased prediction models. Predictive ability was assessed in 5-fold cross-validation using the correlation between observed and predicted fertility values and mean squared error of prediction. Within-country genomic predictions exhibited predictive correlations of around 0.28 and 0.02 for the United States and Australia, respectively. The Australian Jersey population is genetically diverse and small in size, so careful selection of the reference population by including only closely related animals (e.g., excluding New Zealand bulls, which is a less-related population) increased the predictive correlations up to 0.20. Notably, the use of bivariate models fitting all US Jersey records and the optimized Australian population resulted in predictive correlations around of 0.24 for SFV values, which is a relative increase in predictive ability of 20%. Conversely, for predicting SCR values, the use of an across-country reference population did not outperform the standard approach using pure US Jersey reference data set. Our findings indicate that genomic prediction of male fertility in dairy cattle is feasible, and the use of an across-country reference population would be beneficial when local populations are small and genetically diverse.

Sire contribution to pregnancy loss in different periods of embryonic and fetal development of beef cows

The objective was to evaluate the effect of service sire on pregnancy results during different periods of embryonic and fetal development. Angus cows (n = 658) were timed artificially inseminated (TAI) on day 0 after synchronization of estrus using one of eight Angus sires. Estrus expression prior to TAI was evaluated using estrus breeding indicators. Blood samples were collected on days 0, 24 and 31 for quantification of circulating pregnancy-associated glycoprotein (PAG). Pregnancy was diagnosed at day 24 based on blood-based test, and on days 31 and 60 by transrectal ultrasonography to determine early embryonic mortality (EEM; between days 24 and 31) and late embryonic/early fetal mortality (LEM; between days 31 and 60). Sires were retrospectively classified according to the amount of pregnancy loss in each evaluated interval. Overall EEM was 5.54%, with values ranging from 1.8 to 11.7% among sires, whereas LEM was 6.7% with values ranging from 2.3 to 12.6% among sires. Individual sires had different phenotypes in regard to pregnancy loss during different developmental periods, indicating the importance of evaluating multiple milestones of embryonic development when classifying sire fertility. No difference (P ≥ 0.05) was observed in serum concentrations of PAG in cows bred with sires of different phenotypes. Pregnancy rate by sire was also influenced by estrus expression. Sires with a greater number of cows pregnant without estrus expression, had similar incidence of early (P = 0.71) but greater incidence of late embryonic mortality (P = 0.05). These results are significant to characterize sire contribution to pregnancy maintenance and establishment in beef cows and to serve as basis of studies to identify markers to improve sire fertility evaluation.

Whole-genome homozygosity mapping reveals candidate regions affecting bull fertility in US Holstein cattle

BackgroundAchieving rapid genetic progress while maintaining adequate genetic diversity is one of the main challenges facing the dairy industry. The increase in inbreeding can be used to monitor the loss of genetic diversity. Inbreeding tends to increase the proportion of homozygous loci, some of which cause homozygosity of recessive alleles that results in reduced performance. This phenomenon is known as inbreeding depression and tends to be most prominent on fitness-related traits, such as male fertility. Traditionally, inbreeding has been monitored using pedigree information, or more recently, genomic data. Alternatively, it can be quantified using runs of homozygosity (ROH), i.e., contiguous lengths of homozygous genotypes observed in an individual’s chromosome.ResultsThe objective of this study was to evaluate the association between ROH and sire conception rate. ROH were evaluated using 268 k genetic markers in 11,790 US Holstein bulls. Interestingly, either the sum, mean, or maximum length of ROH were negatively associated with bull fertility. The association analysis between ROH and sire fertility was performed comparing 300 high-fertility vs. 300 low-fertility bulls. Both the average and sum of ROH length were higher in the low-fertility group. The enrichment of ROH regions in bulls with low fertility was assessed using a Fisher’s exact test. Nine regions were significantly enriched in low-fertility compared to high-fertility bulls. Notably, these regions harbor genes that are closely related to sperm biology and male fertility, including genes exclusively or highly expressed in testis.ConclusionsThe results of this study can help not only to manage inbreeding in genomic selection programs by designing custom mating schemes, but also to better understand the mechanisms underlying male fertility in dairy cattle.

Integration of whole-genome DNA methylation data with RNA sequencing data to identify markers for bull fertility.

Predicting bull fertility prior to breeding is a current challenge for the dairy industry. The use of molecular biomarkers has been previously assessed. However, the integration of this information has not been performed to extract biologically relevant markers. The goal of this study was to integrate DNA methylation data with previously published RNA-sequencing results in order to identify candidate markers for sire fertility. A total of 1765 differentially methylated cytosines were found between high- and low-fertility sires. Ten genes associated with 11 differentially methylated cytosines were found in a previous study of gene expression between high- and low-fertility sires. Additionally, two of these genes code for proteins found exclusively in bull seminal plasma. Collectively, our results reveal 10 genes that could be used in the future as a panel for predicting bull fertility.