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1.
The in vitro tests utilized to evaluate sperm quality represent an interesting and important approach to evaluate ejaculated fecundant capacity. In the present work, the oocyte-penetrating ability of sperm from two bulls with low and two with high in vivo fertility rate was investigated. Sperm-quality parameters, such as sperm concentration, total and progressive motility, acrosome and total sperm anomalies, proximal cytoplasmic drops and live : dead sperm ratio were assessed and batches of sperm homologues in these parameters were selected. In expt 1, a sperm : oocyte ratio of 3000 was used and the oocytes were fixed 5, 10, 15 and 18 h post-insemination (hpi). In expt 2, the sperm : oocyte ratio was reduced to 1000 and the eggs were fixed at 8 and 10 hpi. The results, analysed by chi-square test, showed significant differences (p <0.001) among bulls at 15 hpi in expt 1 and 8 hpi in expt 2; nevertheless, no accordance was found between sperm penetration rate and in vivo fertility. At 18 hpi, the low-fertility bulls exceeded the two high-fertility bulls, supporting previous reports that suggest an opposite correlation between in vivo and in vitro fertility rate at low doses of heparin. Furthermore, a more efficient zona binding ability of one high-fertility bull was pointed out in expt 2 after the reduction of sperm : oocyte ratio, as it reached the highest percentage of penetration when compared with all the others.  相似文献   

2.
This paper aimed at investigating the potential use of sperm DNA fragmentation (SDF) to improve the routine screening of infertility of Holstein bulls. Cryopreserved sperm samples from 201 Holstein bulls provided by an AI center were used in the analyses of SDF at 0 (SDF_0) and 6 (SDF_6) h of incubation at 37°C. A refinement of the sperm chromatin dispersion test implemented in the Sperm-Halomax kit was employed to measure SDF. Records on routinely collected semen traits (volume, concentration, mass and individual motility evaluated in the fresh ejaculate, and individual motility in post-thawed semen straws) were provided by the AI center. Artificial insemination bull fertility was obtained from official field recording as successful or failed insemination. The results show that the average SDF was low (around 3.5%) at 0 and 6 h of incubation. A moderate effect of inbreeding depression was found. Estimated heritability for SDF traits were moderately high (0.41 and 0.29 for SDF_0 and SDF_6, respectively) and estimated repeatability of SDF measures in the same animal were high (0.73 and 0.70 for SDF_0 and SDF_6, respectively). An overall estimated service bull value (ESBV) obtained through statistical modeling that allowed for adjustment of systematic environmental effects not specific to a bull and of the female contribution to fertility, and the estimated genetic values (EGV) were obtained from field-recorded AI information. The ESBV and EGV were also obtained for all semen traits. Moderately large and negative Pearson correlation coefficients were observed between SDF traits and male fertility ranging from (-0.43 to -0.50; P <0.001). Results of stepwise regression analyses showed that SDF_6 had the largest partial r(2) (0.15 to 0.26) among all semen characteristics. Overall, the selected semen traits explained 25% and 31% of the observed variability in bull fertility measured as EGV and ESBV, respectively. When looking at the predictive ability of bull fertility categories, the results of discriminant and logistic regression analyses showed that low-fertility bulls (those in the 10th or lower percentile in the fertility distribution) can be accurately identified by using measures of SDF alone or in combination with sperm motility. Values of SDF around 7% to 10% could be used as indicators of low AI success.  相似文献   

3.
With the aim of investigating the relationship between sperm DNA integrity and non‐return rate (NRR) among Norwegian cross‐bred rams, semen from 15 individuals was examined by flow cytometry. Sperm Chromatin Structure Assay (SCSA) quantifies the proportion of spermatozoa with denatured DNA after in situ acid treatment, and the four parameters % DFI, % HDS, MEAN DFI and SD DFI are all different measures of DNA denaturation and maturation. Field fertility, reported as NRR 25 days after insemination was based on all inseminations from a large‐scale breeding programme and supplied by the Norwegian Association of Sheep and Goat Farmers. From each ram, four straws from four different weeks of the breeding season were analysed, and the associations between 25‐day NRR and the mean of the four SCSA parameters were tested using a logistic regression model. The results revealed no association between fertility and % DFI or % HDS, while SD DFI and MEAN DFI showed a significant negative association with NRR. Further, the SCSA values varied significantly between ejaculates within ram among some of the rams in the study. However, no significant association was seen between these intra‐individual differences in sperm DNA integrity and NRR. In conclusion, this study suggests an association between sperm DNA integrity and NRR for rams. However, further research must be conducted to confirm these findings and determine whether sperm DNA assessments can be applied to predict ram fertility.  相似文献   

4.
The ability to assess fertility of bovine sperm accurately and rapidly would be very useful for research and applications to the cattle industry. Sperm motility and other in vitro tests of sperm normality are only partially correlated with fertility, and lengthy breeding trials are expensive and time consuming. Heterospermic insemination by mixing sperm from more than one male provides an in vivo method to assess relative fertility among bulls that can be economical and rapid. Sperm that had been flow-sorted and cryopreserved from four groups of four bulls were inseminated in all combinations of three bulls within groups into nonsuperovulated heifers or superovulated heifers. Embryos were collected nonsurgically between d 13.5 and 20 following estrus and evaluated for paternity by genotyping. Following determination of paternity, a heterospermic index was created for each bull using a maximum likelihood function. These indices ranged from 0.22 +/- 0.15 to 2.43 +/- 0.43 (mean = 1.00, with a higher value indicative of greater fertility). In all four groups, either the high- or low-fertility bull was identified (P < 0.05) using a total of 25 to 36 genotypable embryos from nonsuperovulated heifers. The heterospermic rankings of bulls were similar for single and superovulated heifers for one group of bulls, but dissimilar for a second group. Heterospermic insemination followed by genotyping of embryos proved to be efficacious for rapidly ranking fertility of flow-sorted sperm from bulls when females were not superovulated, but results were less clear when females were superovulated.  相似文献   

5.
The genome‐wide association study (GWAS) results are presented for average daily gain (ADG) in Nellore cattle. Phenotype of 720 male Bos indicus animals with information of ADG in feedlots and 354 147 single‐nucleotide polymorphisms (SNPs) obtained from a database added by information from Illumina Bovine HD (777 962 SNPs) and Illumina BovineSNP50 (54 609) by imputation were used. After quality control and imputation, 290 620 SNPs remained in the association analysis, using R package Genome‐wide Rapid Association using Mixed Model and Regression method GRAMMAR‐Gamma. A genomic region with six significant SNPs, at Bonferroni‐corrected significance, was found on chromosome 3. The most significant SNP (rs42518459, BTA3: 85849977, p = 9.49 × 10?8) explained 5.62% of the phenotypic variance and had the allele substitution effect of ?0.269 kg/day. Important genes such as PDE4B, LEPR, CYP2J2 and FGGY are located near this region, which is overlapped by 12 quantitative trait locus (QTLs) described for several production traits. Other regions with markers with suggestive effects were identified in BTA6 and BTA10. This study showed regions with major effects on ADG in Bos indicus in feedlots. This information may be useful to increase the efficiency of selecting this trait and to understand the physiological processes involved in its regulation.  相似文献   

6.
The aim of the study was to screen the entire bull genome to identify markers and candidate genes underlying sperm concentration. The analysed data set originates from a population of 877 Polish Holstein‐Friesian bulls. Based on sperm concentration value, two extreme groups of bulls were created: Low (L, n = 126) and High (H, n = 140). Each bull was genotyped using the Illumina BovineSNP50 BeadChip. Genome‐wide association analysis was performed with the use of GoldenHelix SVS7 software. An additive model with a Cohran–Armitage test, Correlation/Trend adjusted by a Bonferroni test, was used to estimate the effect of SNP marker for sperm concentration. Thirteen markers reached genome‐wide significance. The most significant SNPs were located on chromosome 3 (rs109154964 and rs108965556), 14 (rs41621145) and 18 (rs41615539), in the close vicinity of protein arginine methyltransferase 6 (PRMT6), Sel1 repeat containing 1 (SELRC1), triple QxxK/R motif containing (TRIQK) and zinc finger homeobox 3 (ZFHX3) genes, respectively. For three other candidate genes located close to significant markers (within a distance of ca 1 Mb), namely histone deacetylase 9 (HDAC9), an inhibitor of DNA binding 2 (ID2) and glutathione S‐transferase theta 1 (GSTT1), their potential role in the production of male germ cells was confirmed in earlier studies. Six additional candidate genes (Vav3, GSTM1, CDK5, NOS3, PDP1 and GAL3ST1) were suspected of being significantly associated with sperm concentration or semen biochemistry. Our results indicate the genetic complexity of sperm concentration but also open the possibility for finding causal polymorphism useful in marker‐assisted selection.  相似文献   

7.
Kjxstad, H., E. Ropstad and K. Andersen Berg: Evaluation of spermatological parameters used to predict the fertility of frozen bull semen. Acta vet. scand. 1993,34,299-303.– Post-thaw motility, velocity and acrosome integrity of frozen semen were determined in 18 bulls with varying fertility (average non-return rates: 71.3 (± 2.8) - range: 65.2-75.7). Five semen straws were investigated from each bull. The average values for sperm motility (percentage motile spermatozoa), sperm velocity (graded from 0-3) and acrosome integrity (proportion of spermatozoa with intact acrosome) were 67.5%, 2.5 and 79.3%, respectively. Significant correlations were found between sperm motility and velocity, but not between sperm motility and acrosome integrity. Both sperm motility and velocity were significantly related to bull fertility. It was concluded that of the post-thaw semen characteristics investigated in this study these 2 parameters provided a reliable basis for prediction of bull fertility.  相似文献   

8.
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9.
Motility is one of the most important characteristics associated with the fertilizing ability of spermatozoa and is an expression of their viability and structural integrity. Computer‐assisted semen analyser (CASA) provides precise and accurate information on different sperm motion characteristics. This article reviews various aspects of computer‐aided motility analysis of bull sperm like sample preparation, standardization of instrument settings, importance of various motility parameters evaluated by the system and its impact on basic functional studies of spermatozoa. It gives special emphasis to various aspects of bull sperm motion analysis especially sub‐populations of spermatozoa, hyper‐activation, motion characteristic in different genetic and age groups, etc. and their utility in predicting the fertility of dairy bulls. The need to fill the gap in research and the necessity of universal standardization of the equipment has been discussed.  相似文献   

10.
This study utilized three staining assays (Annexin V, mitochondrial membrane potential (JC‐1) and TUNEL) for flow cytometric analysis of apoptosis in sex‐sorted sperm from four different bulls (A, B, C and D). Correlations between sperm quality and IVF efficiency were then assessed to determine which assay provided the best prediction of IVF efficiency. The results of the Annexin V assays, as well as measures of viable sperm, early apoptosis, necrotic sperm and mitochondrial membrane potential (?ψm) showed that the sex‐sorted sperm collected from bull A significantly differed from those of the other three bulls (p < 0.05). In addition, the levels of DNA fragmentation in sex‐sorted sperm from bull A were significantly lower than those from bulls B and C (p < 0.05). The percentage of cells reaching the cleavage and blastocyst stages in sex‐sorted sperm from bull A were significantly greater than those from the other bulls (p < 0.05). A significant positive correlation was observed between viable sperm and the percentage of cells at the cleavage or blastocyst stages (p < 0.05). In contrast, a negative correlation was found between early apoptotic sperm and the percentage of cells at the cleavage or blastocyst stages (p < 0.05). In conclusion, these results indicated that the Annexin V assay was the most reliable technique for the prediction of the IVF success of sex‐sorted bovine sperm.  相似文献   

11.
本试验采用PCR—RFLP方法分析了GnRH基因外显子2和LHR基因内含子9在144头中国荷斯坦牛和79头河南地方肉牛品种中的多态性,利用最小二乘法分析多态位点不同基因型与精液品质性状的关系。研究结果表明,2～3岁荷斯坦牛的鲜精活力显著高于4岁以上的牛,而畸形率显著低于7岁以上的牛。对2～4岁荷斯坦牛不同精液品质性状的简单相关分析表明,畸形率与顶体完整率和冻精活力呈显著的负相关（相关系数r分别为-0．736和-0．500）。不同基因型与精液品质性状的关联分析结果表明,144头中国荷斯坦牛所研究位点不同基因型对精液品质性状没有显著影响。而河南地方肉牛GnRH基因外显子2的A883G位点GG基因型的精子密度显著低于AA和AG基因型．LHR基因G51656T位点的TT基因型精子密度显著高于GT基因型,未检测到GG基因型。并且发现随着年龄的增长,种公牛的精液品质逐渐变差。GnRH和LHR基因可作为影u向肉牛精液品质性状的候选基因。  相似文献   

12.
Using pedigree data, the inbreeding coefficients of 715 Austrian dual‐purpose Simmental (Fleckvieh) bulls stationed in two artificial insemination (AI) centres in Upper and Lower Austria were calculated and incorporated in statistical models for the analysis of semen quality. Five semen quality parameters (volume, concentration, motility, number of spermatozoa per ejaculate and percentage of viable spermatozoa) of approximately 30 000 ejaculates, used in two separate data sets, were investigated. The mixed model included the fixed effects age class of the bull, bull handler, semen collector, month and year of collection, number of collection per bull and day, time interval since last collection, the linear continuous effect of the inbreeding coefficient of the bull, interactions between age class and month, and age class and interval since last collection, respectively, as well as the random effect of the bull and the random residual effect. Non‐linear effects of inbreeding were significant for motility only. Despite the quite low inbreeding coefficients (mean 1.3%), all semen quality traits showed inbreeding depression, in four of the five traits significantly in at least one of the data sets. The magnitude of inbreeding depression was small, which might partly be caused by the low inbreeding levels and a potential pre‐selection of the bulls in the AI centres. However, monitoring of inbreeding depression on fertility traits is recommended to avoid unrecognized deterioration of such traits.  相似文献   

13.
This study was attempted to identify subfertile bulls by quantifying the endogenous levels of osteopontin (OPN), total antioxidant capacity (TAC) and malondialdehyde (MDA) in seminal plasma of buffalo bulls. On the basis of conception rate, buffalo bulls were classified into two groups: high‐fertile (conception rate >50%) and subfertile bulls (conception rate <40%). A total of 100 ejaculates (10 ejaculates from each bull) were collected through artificial vagina method. The concentration of OPN, TAC and catalase (CAT) of high‐fertile bulls was found to be higher (p < .05) than that of subfertile bulls. Further, MDA level in seminal plasma was found to be lower (p < .05) in high‐fertile bulls compared with subfertile bulls. The fertility status had no effect on the superoxide dismutase (SOD) concentration in seminal plasma of both the groups. The levels of OPN (r = .678, p = 0.013) and TAC (r = .648, p = .042) were found to be positively correlated with bull fertility and the level of MDA (r = ?.718, p = .019) was found to be negatively correlated with bull fertility. However, the fertility of bulls was not found to be significantly correlated with SOD, CAT and sperm motility. In conclusion, seminal OPN, TAC and MDA tended to be more realistic in identification of subfertile bulls from breeding herds.  相似文献   

14.
精子生育相关性抗原对奶牛妊娠率影响研究   总被引：1，自引：0，他引：1  
为研究精子生育相关性抗原对奶牛妊娠率的影响,测试了16头种公牛精子的生育相关性抗原,进行人工授精,比较奶牛的妊娠情况.结果显示:测试的16头种公牛精子生育相关性抗原,其中13头呈阳性,3头阴性,阴性率为18.75%.在用FAA阳性精液进行人工授精的520头奶牛中,有433头奶牛怀孕,妊娠率为83.26%.而FAA阴性授精的80头奶牛中,只有52头奶牛怀孕,妊娠率为65.0%(P<0.01).因此,奶牛人工授精FAA阳性精子妊娠率比FAA阴性精子高18个百分点,大大提高了奶牛的妊娠率.  相似文献   

15.
The objective of this study was to identify genomic regions associated with fat‐related traits using a Japanese Black cattle population in Hyogo. From 1836 animals, those with high or low values were selected on the basis of corrected phenotype and then pooled into high and low groups (n = 100 each), respectively. DNA pool‐based genome‐wide association study (GWAS) was performed using Illumina BovineSNP50 BeadChip v2 with three replicate assays for each pooled sample. GWAS detected that two single nucleotide polymorphisms (SNPs) on BTA7 (ARS‐BFGL‐NGS‐35463 and Hapmap23838‐BTA‐163815) and one SNP on BTA12 (ARS‐BFGL‐NGS‐2915) significantly affected fat percentage (FAR). The significance of ARS‐BFGL‐NGS‐35463 on BTA7 was confirmed by individual genotyping in all pooled samples. Moreover, association analysis between SNP and FAR in 803 Japanese Black cattle revealed a significant effect of SNP on FAR. Thus, further investigation of these regions is required to identify FAR‐associated genes and mutations, which can lead to the development of DNA markers for marker‐assisted selection for the genetic improvement of beef quality.  相似文献   

16.
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17.
单倍型标记与数量性状基因座(quantitative trait loci，QTL)之间具有较强的连锁不平衡(linkage disequilibrium，LD)关系，在基因定位和因果突变鉴定方面具有较高的应用价值。为了评估单倍型标记在基因组研究中的作用，本研究在华西牛资源群体中，选取该群体于2008—2021年间屠宰的共计1 478头平均月龄为24个月的个体进行研究，其中公牛1 333头，母牛145头。利用770K高密度芯片数据，基于LD阈值(r2>0.3)及固定单核苷酸多态(single nucleotide polymorphism,SNP)个数(5个连续SNP)两种方法进行单倍型构建，分别采用单位点SNP标记和两种单倍型标记共3种标记，基于GCTA的混合线性模型(mixed linear model,MLM)，开展宰前活重(LW)和屠宰率(DP)等屠宰性状的全基因组关联分析(genome-wide association study，GWAS)，定位影响屠宰性状的显著(P<0.05) SNPs、单倍型块和候选基因，同时比较3种标记的GWAS结果，评估3种标记的优劣。结果显示，3种标记在全基因组范围内共找到16个的显著SNPs及单倍型区域，主要分布于1、5、6、14、16、17和28号染色体上，同时鉴定到FAM184B、PPM1K、LCORL、RIMS2等10个与屠宰性状相关的候选基因，其中，基于SNP标记方法鉴定到的3个候选基因，在利用基于单倍型标记的方法中也鉴定到，且单倍型鉴定到的显著性位点或区域大多位于基因内部。在两种单倍型构建方法中，与基于固定SNP个数构建单倍型进行GWAS相比，基于LD阈值的构建方法鉴定到了更多候选基因。本研究结果表明，以单倍型开展GWAS可以综合考虑SNP位点间连锁关系，能较好地揭示复杂性状的遗传结构。  相似文献   

18.
Flow cytometry is a useful tool that provides an accurate, objective and rapid evaluation of semen quality. The use of this technique could significantly improve the quality of buffalo semen samples used in artificial insemination. This study was carried out to evaluate, by flow cytometry, frozen–thawed buffalo spermatozoa quality parameters such as sperm viability by SYBR‐14/propidium iodide staining; mitochondrial function by JC‐1 potentiometric probe; sperm chromatin stability (SCSA) by acridine orange; and acrosome reaction (AR) by FITC‐PNA staining. Semen samples from five Italian Mediterranean buffalo bulls were used. Sperm viability was not different between bulls and ranged from 33.4% to 43.6%. A consistent rate (55.1 ± 10.8%) of sperm cells showed high mitochondrial membrane potential (Δψhigh), with no significant differences between subjects. Sperm chromatin structure assay differed significantly between the five buffalo bulls; moreover, data showed high stability within each buffalo. DNA fragmentation indexes (DFI), such as %‐DFI, ‐DFI, SD‐DFI, were 11.2 ± 8.6, 153.3 ± 24.6 and 81.6 ± 21.2, respectively. Regarding AR, the percentage of acrosome‐reacted live (ARL) and acrosome‐reacted dead (ARD) spermatozoa was 0.3 ± 0.2 and 15.3 ± 5.5, respectively. This functional parameter differed significantly between buffalo bulls and showed high stability. Following to Ca2+ ionophore A23187 for 3 h, AR significantly differed between subjects and was characterized by an increase in both ARL (10.8%) and ARD population (22.0%). This study indicates that flow cytometry could be a useful tool for a quick multiparametric evaluation of sperm quality in buffalo. In particular, SCSA and AR resulted in sperm functional parameters sensitive enough for the diagnosis of frozen‐thawed semen fertilizing potential.  相似文献   

19.
Genetic parameters were estimated for semen production traits collected in an Austrian AI centre in the years 2000-2004. In total, 12,746 ejaculates from 301 Austrian dual-purpose Simmental (Fleckvieh) AI bulls were examined considering different effects on ejaculate volume, sperm concentration, percentage of viable spermatozoa in the ejaculate, total spermatozoa per ejaculate and motility. The model for genetic parameter estimation included the fixed effects age of bull, collection interval, number of collections on collection day, bull handler, semen collector, year and month of collection, a random additive genetic component and a permanent environmental effect. Correlations between estimated breeding values for semen traits and male fertility from the routine evaluation were calculated. The fertility trait considered in the routine evaluation is non-return rate 90 for the first insemination. All semen production traits were moderately heritable. Heritabilities for volume, concentration, percentage of viable spermatozoa, total number of spermatozoa and motility were 0.18, 0.14, 0.10, 0.22 and 0.04, respectively. Correlations between breeding values for semen quality traits and routinely estimated breeding values for male fertility were low and ranged from 0.08 to 0.17 indicating that semen production traits are rather poor predictors of male fertility.  相似文献   

20.
旨在通过对中国肉用西门塔尔牛纵向体重性状的全基因组关联分析（genome-wide association study, GWAS）,定位与肉牛生长发育性状显著关联的候选基因。本研究利用808头中国肉用西门塔尔牛公牛0、6、12、18月龄的纵向体重数据,采用Gompertz、Logistic和Brody 3种非线性模型拟合个体的体重预测模型,估计参数A（成熟体重）、b（达到最大生长率的时间）和K（成熟率）,然后以参数值为表型,BovineHD （770K） 芯片数据质控后剩余671 991 个SNPs,利用GAPIT进行关联分析,结合基因注释筛选影响肉牛发育的候选基因。选取拟合度最高的Gompertz模型（R2=0.954）确定相应参数估计值,GWAS共筛选到了9、49和7个显著的SNPs分别与A、b和K关联,且主要分布在2、3、7、9、11、14、22和25号染色体上。基因注释结果发现,PLIN3、KCNS3、ANGPTL2和ALPL与生长发育过程相关,其中KCNS3被认为是肌内脂肪含量的候选基因;IGF-1、TMCO1、PRKAG3和SHISA9影响肌肉发育过程,其中IGF-1被报道为生长发育过程的核心调控元件;ASPH基因参与调控肉牛胴体发育和肉质性状。本研究利用体重预测模型的参数估计值作为表型进行GWAS分析,定位到了一些与生长发育性状相关的候选基因,为其他纵向数据的研究提供了参考,也为调控肉牛生长发育进而提高产肉量的育种工作提供了新的候选分子标记。  相似文献   

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