Identifying useable semen

The "predictors of useable semen" used in most commercial AI centers provide a very conservative estimate of the relative fertility of individual boars. Furthermore, the relatively high sperm numbers used in commercial AI practice (usually >3 x10(9) total sperm per dose of extended semen) usually compensate for reduced fertility, as can be demonstrated in some boars when lower numbers of sperm are used for AI. Differences in relative boar fertility are also masked by the widespread use of pooled semen for commercial AI in many countries. However, the need to continually improve the efficiency of pork production, suggests that commercial AI practice should involve increased use of boars with the highest genetic merit for important production traits. Necessarily, this must be linked to the use of fewer sperm per AI dose, fewer inseminations per sow bred, and hence more sows bred by these superior sires. In turn, this requires improved techniques for evaluating semen characteristics directly related to the fertilization process, such as IVM-IVF assays, analysis of seminal plasma protein markers, more discriminatory tests of sperm motility and morphology, with the goal of identifying high-index boars whose fertility is sustained when low numbers of sperm are used for AI. This paper reviews the current status of laboratory-based boar semen evaluation techniques that meet these criteria.     

Dietary supplementation with a source of omega-3 fatty acids increases sperm number and the duration of ejaculation in boars

Development of nutritional strategies to increase the production of fertile sperm would further enhance the distribution of superior genetic material by AI. The objective was to determine the effects of a dietary source of omega-3 fatty acids in boars on semen characteristics and sexual behavior. Boars were fed daily 2.2 kg of a diet top-dressed with 0.3 kg of corn (controls; n=12) or 0.3 kg of a supplement containing 31% omega-3 fatty acids (n=12) for 16 weeks. Semen was collected weekly and for boars that received the supplement containing omega-3 fatty acids, total sperm per ejaculate averaged 84.3+/-2.3 x 10(9) (mean+/-S.E.M.) during Weeks 0-7, and increased (P=0.02) to 95.6+/-2.3 x 10(9) during Weeks 8-15. Control boars averaged 86.3+/-2.3 x 10(9) sperm per ejaculate during Weeks 0-7 and 86.4+/-2.3 x 10(9) during Weeks 8-15. Other semen characteristics were similar (P>0.1) between groups. Duration of ejaculation was affected by treatment (343.9s for controls and 388.8s for boars fed omega-3 fatty acids; S.E.M.=15.7; P=0.05). In summary, semen characteristics and sexual behavior were altered in boars fed a supplement containing omega-3 fatty acids. Boar semen is typically diluted to create AI doses containing 3 x 10(9) sperm each; therefore, use of the supplement increased the number of potential AI doses by approximately three per ejaculate after the initial 7 week supplementation period.     

The predictive value of routine semen evaluation and IVF technology for determining relative boar fertility

Practical techniques for assessing semen quality in order to predict male fertility are still needed. The principal objective of this experiment was to evaluate routine laboratory evaluation and in vitro fertilization (IVF) techniques as predictors of relative boar fertility using a low-dose AI protocol. Nine boars were evaluated during a 6.5+/-1 mo period, beginning at 29-32 wk of age. Ejaculates were evaluated for motility, morphology and concentration, diluted to 1.5 billion sperm in 50 mL extender, and used to breed 50+/-5 gilts over the same period. On nine occasions, a specific aliquot of the ejaculate's first sperm-rich fraction was evaluated using IVF procedures. Boars differed (P<0.001) consistently for pregnancy rate (from 73 to 98%), farrowing rate (71-98%) and total born (8.8-12.0). Routine semen evaluation and IVF parameters that presented significant differences between boars, but no differences in time and no boar by time interaction, were used to correlate in vivo fertility. A multiple regression model based on routine semen evaluation parameters accounted for up to 27 and 22% of the variation of fertility index and total piglets born, respectively, whereas male pronuclear formation rate was the IVF variable that accounted for 17 and 12% of the variation in farrowing rate and fertility index, respectively. Collectively, we inferred that the use of low sperm numbers for AI, determination of pregnancy rate at Day 30, motility of extended semen after 7 and 10d, and specific IVF parameters may be useful for identifying relatively infertile boars that are not currently excluded from use in existing commercial boar studs.     

Genetic selection of boars

Selection of boars by visual appraisal is the simplest and oldest method used by the swine industry. However, individual performance testing, and later use of computers to incorporate relatives' data and account for environmental variation, resulted in greater rate of improvement for economically important traits. Examples of molecular genetic tools that have increased improvement for some traits are also discussed. Accurate identification of genetic merit is increasingly important with widespread use of AI and resultant greater progeny number per sire. Historically, selection was to produce desirable progeny; however, with the majority of boars now housed in dedicated boar facilities, and the efficiency of sperm production being recorded, boar stud personnel are increasingly interested in selection of boars for fertility traits. Selecting boars that are lean and heavily muscled and have good semen parameters may be problematic, given the genetic relationships among the traits. Whereas conventional animal breeding methods will remain important, use of molecular tools will increase, and identification of a boar's fertility potential at birth will allow earlier and more efficient selection of high-fertility boars. Ability to achieve acceptable female reproduction with frozen semen would facilitate selection for longevity. However, this would lengthen the generation interval and could dilute selection intensity for other traits, as it requires indirect selection for semen freezability.     

Semen production and fertility issues related to differences in genetic lines of boars

Boars have been reported to differ in various characteristics important to productivity of AI units. These aspects include sensitivity to seasonal infertility, ejaculate volume x age interactions, optimum collection frequency, discard (trash) rate of ejaculates, age of puberty, libido and trainability, and semen shelf life. In addition to differences among individual boars, there were also identifiable differences among breeds, between purebreds and crossbreds, and between lines. The percentage of ejaculates discarded varied among seasons and among breeds within season, with maternal purebred lines being the most sensitive to warmer temperatures. These same lines were also slower to mature and produced fewer sperm per ejaculate. Breeds differed in the sustainability of motility in stored extended semen, and in farrowing rates. Boar centers need to factor breed differences into their decision-making processes to ensure adequate boar power and customer satisfaction.     

Sperm chromatin structural integrity in normospermic boars is not related to semen storage and fertility after routine AI

Standard semen parameters are limited in their capacity to distinguish subfertile boars and to assess storage influences on liquid preserved boar semen. The evaluation of sperm chromatin structural integrity could have potential as a diagnostic tool in AI practice. This study assessed whether the determination of sperm DNA integrity adds a useful diagnostic tool for selection of boar ejaculates in routine AI procedure and assessment of storage effects in diluted semen. Special emphasis was laid on the standard spermatological characterization of semen samples in parallel with the determination of the DNA fragmentation index (DFI) through the sperm chromatin structure assay (SCSA). Six hundred ninety two (692) ejaculates from 79 Piétrain boars in an AI center were analyzed for motility, morphology and DFI over a period of 24 weeks. 95.5% of the semen samples had a DFI < 5% with low distribution of variation for DFI due to boar and ejaculate (< 5%). 61.3% of ejaculates with DFI > 5% showed values below thresholds for sperm motility or morphology. Based on field data from 13,239 inseminations, fertility of boars with temporarily elevated DFI was not impaired (P > 0.05). 24 randomly selected diluted semen samples did not show a significant increase of DFI during 168 h storage (P > 0.05). In a further experiment, 42 diluted semen samples from 14 normospermic boars were assessed for motility, membrane integrity (PI, FITC-PNA) and SCSA parameters. Three single ejaculates showed an increase of DFI at 120 and 168 h storage time. This was accompanied by a pronounced loss of both motility and membrane integrity. In conclusion, the evaluation of sperm chromatin structural integrity by the SCSA has only limited value for identifying sperm deficiencies in normospermic fresh or stored boar semen. Temporarily elevated DFIs seem not to be indicative of subfertility in normospermic boars.     

Impact of genetic selection on management of boar replacement

Boars in an artificial insemination centre have been selected for their superior genetic potential, with 'superior' being defined as having traits the customer wants transmitted to his herd. The ability to meet the customers' needs depends on the heritability of the trait, the geneticist's success in devising a selection scheme for the trait in balance with other economically important traits, and the boar's ability to produce sperm that can fertilise oocytes. Genetic evaluation research over the past 20 years has greatly increased the number of traits for which a boar can be selected: currently in the Canadian national program, these include age at 100 kg, backfat at 100 kg, feed efficiency, lean yield and litter size. In the near future, traits that are very likely to be added to this selection list include piglet survival, marbling, loin eye area and structure traits. In Canada, sires are ranked on two estimated breeding value (EBV) indices; one, focused on development of terminal sire lines, is based on the growth and yield traits and another, primarily focused on maternal line development, de-emphasises these traits and incorporates litter size. Boars that are in Canadian AI centres because of their excellent growth traits are typically in the top 5-10% of the national population for terminal sire line index, but they may be only average or substandard for litter size. Conversely, boars selected to be in the top 5-10% for conveying such reproductive traits as litter size may only be in the top 33% for growth traits. The more offspring from a superior boar in either of these indices, the faster the population average for the trait improves. The original sire gets knocked out of the elite group, is culled and replaced by a higher ranked young boar from the now improved general population. Although genetic superiority should govern an AI centre's selection and culling of boars, decision-making in real life is seldom that simple. Selection criteria may be contradictory as above, or a boar with truly superior traits may be excluded because a newly-developed molecular genetics test determines he carries an undesirable gene such as PSS, RN or others being developed. Selection for terminal sire or maternal line traits can ignore important practical factors that affect an AI centre--boars with superior genetics may not produce good semen because skeletal or penile problems prevent ejaculation, or because sperm production is poor due to a genetic flaw, disease, or some other cause. Interestingly, selection pressure for one trait may inadvertently select for a trait that is linked but whose linkage is unrecognised, and such unintentionally selected genes could benefit, harm, or have no effect on production traits. An AI centre serving a variety of customers must select boars in anticipation of their customers' needs (including new, foreign and niche markets). A centre should also review its genetic evaluation results and progeny records, both to critique its own selection success and to try to detect unexpected linkages. Finally, an AI centre needs to predict its own future, selecting not just for production traits for the swine producer, but also for factors that enhance the centre's efficiency including boar conformation and temperament, and sperm quantity, quality and hardiness. Can we select for efficiency? Our colleagues in dairy cattle AI evaluate bull performance--should the swine industry consider evaluation of male fertility traits?     

Low incidence of chromosome aberrations in spermatozoa of fertile boars

Chromosomal imbalance in gametes and embryos is one of the factors contributing to early embryonic mortality. Although the rate of chromosomally abnormal sperm cells is low and usually does not exceed 1%, there is no clear indication of fertilizing potential of such gametes. The aim of the experiment was to investigate the type and incidence of numerical chromosomal aberrations in spermatozoa produced by fertile boars used in artificial insemination (AI). We used the protocol of fluorescent in situ hybridization (FISH) on sperm interphase nuclei with molecular probes for porcine chromosome pairs 1 and 10. Altogether 12?348 sperm cells were examined. Disomy was observed in spermatozoa of all seven AI boars whereas only one diploid cell was identified in all screened sperm cells. The average rate of chromosomally unbalanced sperm was 0.105% (13/12 348) with an inter-individual variation from 0.048% to 0.194%. Among abnormal sperm cells, both disomy (0.097%) and diploidy (0.008%) were detected. Nullisomy was not included into calculations. The estimated aneuploidy rate calculated by doubling the number of disomic cells was 0.194%. Chromosome pair 10 was significantly more often involved in non-disjunction (75%, 9/12 aneuploid sperm cells) than chromosome pair 1 (25%, 3/12). We have shown for the pig that the rate of disomic cells falls into a range presented by other authors, whereas that of diploid spermatozoa appeared to be lower in the present study. In conclusion, numerical chromosome aberrations were present in spermatozoa of all AI boars analyzed in this study. Therefore, it can be assumed that the presence of unbalanced spermatozoa at the level observed in fertile males does not significantly affect their reproductive potential.     

Validation of the sperm mobility assay in boars and stallions

The sperm mobility assay used in the present study measures the rate of sperm penetration in a biologically inert cell-separation solution (Accudenz). When a sample of sperm is overlaid in a cuvette containing Accudenz, sperm penetrate the solution and absorbance of the sample can be measured with a spectrophotometer. This assay has been successfully used to select chicken and turkey semen donors. We validated this assay for semen from boars and stallions. Absorbance was measured after overlaying fresh semen from each species in prefilled cuvettes for 1, 5, 10, 15, 20, and 40 min. There were no significant differences when sperm were incubated in prewarmed cuvettes at 37, 39, or 41 degrees C. However, a minimum concentration of 5x10(7) viable sperm/mL was needed to evaluate the rate of sperm penetration in boars. Absorbance was half-maximal at 5.4 and 14.1 min for boar and stallion sperm, respectively. Frequency analysis suggested a normal distribution of mobility values for boar sperm. There were positive correlations between mobility values and several computer-aided sperm analysis (CASA) parameters. In addition, there was medium repeatability for multiple ejaculates from single males. We concluded that the mobility assay can be used for mammalian sperm and there seemed to be phenotypic variation among boars in mobility estimates.     

B-mode ultrasonographic evaluation of paired testicular diameter of mature boars in relation to average total sperm numbers

Crossbred, meat-type terminal sire boars (n = 215) were randomly assigned by age group (240-300, 301-360, 361-420, 421-480, 481-540, 541-600, and >721 days). Stud boars were on a once or twice weekly semen collection schedule. Testis diameters, in duplicate, were obtained using B-mode ultrasonography. Summation of average left and right testis diameter within boar gave the paired testicular diameter (PTD). Average ejaculate volume, sperm concentration (sperm/ml), and total sperm numbers for each boar were determined using composite data (average values) obtained from the last four semen collections. There was a <0.5cm difference between left and right testis diameters, with the left testis being the larger of the two testes (P = 0.03). There was no difference in PTD found between age groups in this study. Conversely, a dramatic increase in average total sperm numbers (ATSN) was observed between boars of 240-300 days (57.0+/-27.4 x 10(9) sperm) and up to 420 days (118.6+/-33.6 x 10(9) sperm) of age. The ATSN (127+/-32.5 x 10(9) sperm) remained constant for the 421-480 to >721-day age groups. The correlation between PTD and ATSN was low (r = 0.24) in this study. The results of this study demonstrate that normal boars should exhibit <0.5cm diameter difference between testes. As observed in other studies, the left testis was usually larger than the right testis. Correlation of total sperm numbers in a boar ejaculate using a composite ejaculate score (average values) and PTD measurements obtained using B-mode ultrasonography was poor when used in boars >8 months of age.     

The value of microscopic semen motility assessment at collection for a commercial artificial insemination center, a retrospective study on factors explaining variation in pig fertility

This study was conducted to evaluate the relationship between boar and semen related parameters and the variation in field fertility results. In 8 years time semen insemination doses from 110 186 ejaculates of 7429 boars were merged to fertility parameters of inseminations of 165 000 sows and these records were used for analysis. From all ejaculates boar and semen related data were recorded at the artificial insemination (AI) centers. Fertility parameters, such as farrowing rate (FR), ranging between 80.0% and 84.0%, and the total number of piglets born (TNB), ranging between 12.7 and 13.1, were recorded and from these the least square means per ejaculate were calculated. Only 5.9% of the total variation in FR was due to boar and semen variability of which 21% (P = 0.0001) was explained by genetic line of the boar, 11% (P = 0.047) was explained by laboratory technician, and 7% (P = 0.037) was explained by the AI center. For TNB the total variation was 6.6% boar and semen related of which 28% (P < 0.0001) was explained by genetic line of the boar and 7% (P = 0.011) was explained by the AI center. Only 4% of the boar and semen related variation was caused by sperm motility (microscopically assessed at collection, ranging from 60% to 90%). Other variation in FR and TNB was explained by management and semen related parameters (age of boar, 3%; P = 0.009; and 8%; P = 0.031, respectively), days between ejaculations (1%; P < 0.0001 of FR), number of cells in ejaculate (1%; P = 0.042 of TNB), year (9%; P = 0.032), and 13%; P = 0.0001, respectively), and month (11%; P = 0.0001; and 5%; P = 0.0001, respectively). Although semen motility is considered an important parameter to validate the quality of the ejaculate processed, it only minimally relates to fertility results under the current Dutch AI practice. Other boar and semen related parameters, like genetic line of the boar, are more relevant factors to select boars for AI purposes.     

苦玄参40个株系表型性状遗传多样性分析

植物遗传多样性一直以来是种质资源研究的热点。为揭示苦玄参栽培种质的遗传多样性,该研究从苦玄参常年栽培种中根据形态学性状差异选择40个株系,以产量、药效物质含量及茎、叶、花等形态学性状为指标,进行物种变异和遗传多样性分析,并对其进行聚类分析,获取各株系遗传亲缘关系。结果表明:苦玄参苷IA和IB含量的遗传变异系数较高,分别为24.225%和17.853%;遗传多样性指数高,分别为1.920和2.075。产量遗传变异系数较低,仅为3.637%,但遗传多样性指数较高,达到1.884。其余表型性状指标遗传变异系数均较高,其中花色高达127.794%。数值型性状具有较高的遗传多样性,均大于1,但描述型指标遗传多样性指标较低,均小于1。聚类分析可将供试材料分为4个大的类群:第Ⅰ类群共有7个株系,此类群产量性状及相关指标平均数较高;第Ⅱ类群有8个株系,茎节长度最长,其余指标中等偏下;第Ⅲ类群数量最多,有20个株系,各指标均较低;第Ⅳ类群有5个株系,苦玄参苷含量和产量均较高,综合指标比较优。相关分析结果表明,苦玄参苷IA的含量与叶缘性状具有显著相关,产量性状与茎节长度、一级分枝和末级分枝数具有极显著相关,选择优良种质应注重该4个性状的选择。该研究结果表明目前苦玄参栽培种具有广泛的变异和较高的遗传多样性,为苦玄参资源的利用提供了参考依据。     

Seminal plasma damages sperm during cryopreservation, but its presence during thawing improves semen quality and conception rates in boars with poor post-thaw semen quality

To determine the effects of seminal plasma during and after cyopreservation on post-thaw sperm functions in semen from poor freezability boars, seminal plasma was removed immediately after collection, and sperm was subjected to cooling and freezing. Removal of seminal plasma did not significantly affect post-thaw sperm motility in good freezability boars; however, in boars with poor freezability, it increased post-thaw motility relative to control sperm cooled with seminal plasma (64.5+/-3.4% vs. 30.9+/-3.1%, P<0.01). Freezing sperm without seminal plasma increased both loss of the acrosome cap (37.5+/-1.6% vs. 18.4+/-2.8%, P<0.01) and expression of a 15 kDa tyrosine-phosphorylated protein (capacitation marker) in thawed sperm relative to controls; the addition of 10% (v/v) seminal plasma to the thawing solution significantly suppressed both changes and increased conception rate to AI (70% vs. 9% in the control group, P<0.05). In conclusion, our novel cryopreservation and thawing method increased the success of AI with frozen-thawed porcine semen, particularly from boars with poor post-thaw semen quality.     

The effects of postnatal FSH substitution on Sertoli cell number and the sperm production capacity of the adult boar

The role of FSH for Sertoli cell establishment and sperm production in the boar is not definitely known. In order to elucidate its function FSH was substituted postnatally in male pigs and the resulting effects on testicular histological traits and sperm production capacity were investigated when the boars had reached maturity. Six male piglets received pFSH from 18 to 48 days postnatally. Another six piglets instead received saline and served as controls. Blood samples were drawn to measure FSH, LH, testosterone and estradiol. After 28 weeks, the boars were trained to mount a dummy so that the spermatogenic capacity was tested by increasing the frequency of semen collection at the age of 30 weeks. Libido (latency time) and ejaculate criteria (volume, motility, morphological abnormalities) were determined. Thereafter the boars were killed and their testes analyzed for morphology, number of Sertoli cells, germ cells and Leydig cells as well as the ratio between mitosis and apoptosis in the tubules.FSH concentrations were twofold due to FSH application when compared to the controls. LH was low during the first 2 weeks of FSH treatment. Thereafter concentrations increased in three of the six treated animals but not in controls. Testosterone increased slightly over the application period both in the controls and the treated piglets. Estradiol levels were similar in both groups. Increased ejaculation frequency reduced sperm concentrations and sperm motility in all boars and the percentage of morphologically abnormal sperm increased. Ejaculate volumes and the time of latency were not significantly altered. No differences were observed between the controls and the FSH treated boars. The testicular parameters of both FSH- and control boars were identical for morphology, number of spermatogenic and somatic cells as well as mitosis–apoptosis equilibrium. The data demonstrated that a prolonged postnatal period of FSH concentrations does not influence the sperm production of the adult boar.     

Hemiclonal analysis reveals significant genetic, environmental and genotype x environment effects on sperm size in Drosophila melanogaster

Spermatozoa are the most diverse of all animal cells. Variation in size alone is enormous and yet there are still no clear evolutionary explanations that can account for such diversity. The basic genetics of sperm form is also poorly understood, although sperm size is known to have a strong genetic component. Here, using hemiclonal analysis of Drosophila melanogaster, we demonstrate that there is not only a significant additive genetic component contributing to phenotypic variation in sperm length but also a significant environmental effect. Furthermore, the plasticity of sperm size has a significant genetic component to it (a genotype x environment interaction). A genotype x environment interaction could contribute to the maintenance of the substantial genetic variation in this trait and thereby explain the persistent inter-male differences in sperm size seen in numerous taxa. We suggest that the low conditional dependence and high heritability but low evolvability (the coefficient of additive genetic variation) of sperm length is more consistent with a history of stabilizing selection rather than either sexual selection or strong directional selection.     

Cryo-scanning electron microscopy (Cryo-SEM) of semen frozen in medium-straws from good and sub-standard freezer AI-boars

A major limiting factor for commercial cryopreservation of boar semen for artificial insemination (AI) is the large individual variation to cooling, where the degree of cell dehydration during ice (re)shaping seems to play a major role. This study investigated, in the frozen state, the degree of dehydration and ice crystal distribution in boar semen doses whose spermatozoa displayed different viability after thawing. Cross-sectioned medium-straws (0.5 mL, n=10) from a total of 10 stud boars classified as "good"(n=5) or sub-standard (e.g., "bad" freezers, n=5) by conventional analyses (computer assisted motility and sperm viability) were examined by Cryo-scanning electron microscopy (Cryo-SEM) to determine whether differences between groups could be already distinguishable prior to thawing. The degree of hydration was monitored in relation to the areas of ice crystal formed extracellularly (lakes), the areas of frozen, concentrated extender (veins) where spermatozoa were located and the degree of compartmentalization (number of lakes) present. Irrespectively of the region studied, the gradient of main dehydration (as lakes) observed along the cross-section area of the straws was very irregular. Most spermatozoa were enclosed in the freezing extender matrix and no obvious signs of external membrane damage were observed. None of the Cryo-SEM variables significantly correlated with post-thaw sperm parameters (p>0.05). However, we identified significant differences (p<0.0001) among boars for all ultrastructure variables studied, including the size of the veins, where differences in solute concentration is expected. We concluded that despite the large variability in ice crystal formation during the conventional freezing process among boars, this is unrelated to inter-boar post-thaw sperm differences.     

STRATEGIC ADJUSTMENTS IN SPERM PRODUCTION WITHIN AND BETWEEN TWO ISLAND POPULATIONS OF HOUSE MICE

Sperm production is physiologically costly. Consequently, males are expected to be prudent in their sperm production, and tailor their expenditure according to prevailing social conditions. Differences in sperm production have been found across island populations of house mice that differ in the level of selection from sperm competition. Here, we determined the extent to which these differences represent phenotypic plasticity and/or population divergence in sperm production. We sourced individuals from two populations at the extreme levels of sperm competition, and raised them under common‐garden conditions while manipulating the social experience of developing males. Males from the high‐sperm competition population produced more sperm and better quality sperm than did males from the low‐sperm competition population. In addition, males reared under a perceived “risk” of sperm competition produced greater numbers of sperm than males reared with “no risk.” However, our analyses revealed that phenotypic plasticity in sperm production was greater for individuals from the high‐sperm competition population. Our results are thus consistent with both population divergence and phenotypic plasticity in sperm production, and suggest that population level of sperm competition might affect the degree of adaptive plasticity in sperm production in response to sperm competition risk.     

The effect of feeding level on semen quantity and quality of breeding boars

An experiment was carried out to investigate the influence of feeding level on semen quantity and quality in breeding boars in two successive periods of 12 and 8 weeks. Forty-two Yorkshire boars (13 months old) were fed for 12 weeks ad libitum (H=5.74 kg/day), a medium feeding level (M=3.62 kg/day) or a low feeding level (L=1.92 kg/day). After 8 weeks the number of ejaculated sperm cells for boars on treatment L was lower than for those on treatments H and M (P <0.05). In the last 2 weeks, the M and H boars ejaculated 46 and 69% more sperm cells, respectively, than the L boars. Differences between all three feeding levels were significant (P < 0.05). After this 12-week period the feeding level was altered for the H and the L boars. H boars were fed a low feeding level (HL) and L boars were fed the medium feeding level (LM). The medium-fed boars were kept at the same feeding level (MM). After 8 weeks in the second period, differences in the number of ejaculated sperm cells between the HL and MM boars and between the LM and MM boars were no longer significant (P >0.05). Throughout the experiment, no differences in the quality parameters, percentage of moving sperm cells in the ejaculate, vitality of the moving sperm cells and non-return percentage at 56 days were found between treatment groups.     

Moderate heritability and low evolvability of sperm morphology in a species with high risk of sperm competition,the collared flycatcher Ficedula albicollis

Spermatozoa represent the morphologically most diverse type of animal cells and show remarkable variation in size across and also within species. To understand the evolution of this diversity, it is important to reveal to what degree this variation is genetic or environmental in origin and whether this depends on species’ life histories. Here we applied quantitative genetic methods to a pedigreed multigenerational data set of the collared flycatcher Ficedula albicollis, a passerine bird with high levels of extra‐pair paternity, to partition genetic and environmental sources of phenotypic variation in sperm dimensions for the first time in a natural population. Narrow‐sense heritability (h²) of total sperm length amounted to 0.44 ± 0.14 SE, whereas the corresponding figure for evolvability (estimated as coefficient of additive genetic variation, CV_a) was 0.02 ± 0.003 SE. We also found an increase in total sperm length within individual males between the arrival and nestling period. This seasonal variation may reflect constraints in the production of fully elongated spermatozoa shortly after arrival at the breeding grounds. There was no evidence of an effect of male age on sperm dimensions. In many previous studies on laboratory populations of several insect, mammal and avian species, heritabilities of sperm morphology were higher, whereas evolvabilities were similar. Explanations for the differences in heritability may include variation in the environment (laboratory vs. wild), intensity of sexual selection via sperm competition (high vs. low) and genetic architecture that involves unusual linkage disequilibrium coupled with overdominance in one of the studied species.     

Coevolution of non-fertile sperm and female receptivity in a butterfly

Sexual conflict can promote rapid evolution of male and female reproductive traits. Males of many polyandrous butterflies transfer nutrients at mating that enhances female fecundity, but generates sexual conflict over female remating due to sperm competition. Butterflies produce both normal fertilizing sperm and large numbers of non-fertile sperm. In the green-veined white butterfly, Pieris napi, non-fertile sperm fill the females'' sperm storage organ, switching off receptivity and thereby reducing female remating. There is genetic variation in the number of non-fertile sperm stored, which directly relates to the female''s refractory period. There is also genetic variation in males'' sperm production. Here, we show that females'' refractory period and males'' sperm production are genetically correlated using quantitative genetic and selection experiments. Thus selection on male manipulation may increase the frequency of susceptible females to such manipulations as a correlated response and vice versa.