Biological Markers of Boar Fertility

Dyck, Michael K.; Foxcroft, G. R.; Novak, Susan; Sánchez, Ana Ruíz; Patterson, J. D.; Wt, Dixon

doi:10.1111/j.1439-0531.2011.01837.x

Cited by 49 publications

(44 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, the identification of highly fertile boars is inaccurate because conventional in vitro evaluations of fertility are poorly correlated with performance in vivo (Gadea 2005;Dyck et al 2011) and highly sensitive to individual variation (Popwell and Flowers 2004;Macedo et al 2006). Hence, reproductive performance in commercial farms is determined by parameters such as female fertility, environment and management, which impact farrowing rate and litter size (Dial et al 1992).…”

Section: Introductionmentioning

confidence: 99%

Contribution of boars to reproductive performance and paternity after homospermic and heterospermic artificial insemination

Ferreira

Sávio

Guarise

et al. 2015

Reprod. Fertil. Dev.

View full text Add to dashboard Cite

Heterospermic AI is commonly used in swine despite preventing precise evaluation of individual boar fertility. The present study compared the contribution of four boars (A, B, C and D) for reproductive performance and for paternity using homospermic and heterospermic (AB, AC, AD, BC, BD and CD) AI (n=204 for homospermic AI; n=307 for heterospermic AI). Blood samples from the four boars, from all sows inseminated with heterospermic doses and from the umbilical cords of their piglets, as well as tissue smears from mummified fetuses, were genotyped using single nucleotide polymorphisms (SNPs). Differences among boars were detected for the in vitro oocyte penetration rate and for the number of spermatozoa per oocyte (P<0.05), but not for sperm motility, mitochondrial functionality and integrity of the membrane, acrosome and DNA (P>0.05). Homospermic and heterospermic AI resulted in similar (P>0.05) farrowing rates (90.5% and 89.9%, respectively) and total litter size (12.4±0.4 and 12.7±0.7, respectively). Farrowing rate was lower for Boar B than for Boar C (P<0.05), but no other differences in reproductive performance among boars were observed with homospermic AI. The SNPs determined the paternity of 94.2% of the piglets sired by heterospermic AI. In the AC pool, paternity contribution per boar was similar (P>0.05), but differences between boars occurred in all other pools (P<0.05). Boar D achieved the greatest paternity contribution in all pools and parity categories (nearly 60%), whereas Boar B sired the fewest piglets (at most 40%). Reproductive performance was similar with homospermic and heterospermic AI, but differences in performance among boars undetected with homospermic AI were only evident after genotyping the piglets sired through heterospermic AI.

show abstract

Section: Introductionmentioning

confidence: 99%

Contribution of boars to reproductive performance and paternity after homospermic and heterospermic artificial insemination

Ferreira

Sávio

Guarise

et al. 2015

Reprod. Fertil. Dev.

View full text Add to dashboard Cite

show abstract

“…While poor semen quality is a good indicator of reduced fertility, good semen quality (in terms of concentration, motility, and morphological normality) is not necessarily a warrant of acceptable fertility and long lasting semen viability [4]. Moreover, despite having normal or comparable sperm parameters in fresh semen, large differences have been noted in sperm parameters after short-term storage [5].…”

Section: Introductionmentioning

confidence: 99%

Superoxide Dismutase: A Predicting Factor for Boar Semen Characteristics for Short-Term Preservation

Pipan

Mrkun

Kosec

et al. 2014

BioMed Research International

View full text Add to dashboard Cite

Superoxide dismutase (SOD), total antioxidant capacity (TAC), and thiobarbituric acid reactive substances (TBARS) in seminal plasma were evaluated on the basis of receiver operating characteristics (ROC) analysis as predictors for distinguishing satisfactory from unsatisfactory boar semen samples after storage. SOD on day 0 correlated significantly with progressive motility (r = −0.686; P < 0.05) and viability (r = −0.513; P < 0.05) after storage; TBARS correlated only with motility (r = −0.480; P < 0.05). Semen samples that, after 3 days of storage, fulfilled all criteria for semen characteristics (viability > 85%, motility > 70%, progressive motility > 25%, and normal morphology > 50%) had significantly lower SOD levels on the day 0 than those with at least one criterion not fulfilled (P < 0.05) following storage. SOD levels of less than 1.05 U/mL predicted with 87.5% accuracy that fresh semen will suit the requirements for satisfactory semen characteristics after storage, while semen with SOD levels higher than 1.05 U/mL will not fulfill with 100% accuracy at least one semen characteristic after storage. These results support the proposal that SOD in fresh boar semen can be used as a predictor of semen quality after storage.

show abstract

“…The AI system sufficiently contributes to the achievement of high performance swine production through the selection of quality semen. Moreover, AI has been implemented extensively in swine industries for genetic up-grading (7,8). However, the selection of high quality semen still depends on conventional sperm analyses such as the analysis of sperm morphology (9), motility (10), and sperm penetration assays (11,12).…”

mentioning

confidence: 99%

Discovery of Predictive Biomarkers for Litter Size in Boar Spermatozoa*

Kwon

Rahman

Lee

et al. 2015

Molecular & Cellular Proteomics

124

View full text Add to dashboard Cite

Conventional semen analysis has been used for prognosis and diagnosis of male fertility. Although this tool is essential for providing initial quantitative information about semen, it remains a subject of debate. Therefore, development of new methods for the prognosis and diagnosis of male fertility should be seriously considered for animal species of economic importance as well as for humans. In the present study, we applied a comprehensive proteomic approach to identify global protein biomarkers in boar spermatozoa in order to increase the precision of male fertility prognoses and diagnoses. We determined that L-amino acid oxidase, mitochondrial malate dehydrogenase 2, NAD (MDH2), cytosolic 5-nucleotidase 1B, lysozyme-like protein 4, and calmodulin (CALM) were significantly and abundantly expressed in high-litter size spermatozoa. We also found that equatorin, spermadhesin AWN, triosephosphate isomerase (TPI), Ras-related protein Rab-2A (RAB2A), spermadhesin AQN-3, and NADH dehydrogenase [ubiquinone] iron-sulfur protein 2 (NDUFS2) were significantly and abundantly expressed in low-litter size spermatozoa (>3-fold). Moreover, RAB2A, TPI, and NDUFS2 were negatively correlated with litter size, whereas CALM and MDH2 were positively correlated. This study provides novel biomarkers for the prediction of male fertility. To the best of our knowledge, this is the first work that shows significantly increased litter size using male fertility biomarkers in a field trial. Moreover, these protein markers may provide new developmental tools for the selection of superior sires as well as for the prognosis and diagnosis of male fertility.

show abstract

Biological Markers of Boar Fertility

Cited by 49 publications

References 45 publications

Contribution of boars to reproductive performance and paternity after homospermic and heterospermic artificial insemination

Contribution of boars to reproductive performance and paternity after homospermic and heterospermic artificial insemination

Superoxide Dismutase: A Predicting Factor for Boar Semen Characteristics for Short-Term Preservation

Discovery of Predictive Biomarkers for Litter Size in Boar Spermatozoa*

Contact Info

Product

Resources

About