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1.
旨在估计华南地区长白种公猪精液性状遗传参数以及分析公猪采精月龄和季节对精液性状的影响,为合理制定种公猪育种方案提供理论依据。本研究采用Asreml-R对华南地区两个公猪站1 605头长白公猪107 221条精液数据进行统计分析,利用单性状重复力动物模型估计公猪精液各性状的方差组分、遗传力和重复力,利用两性状重复力动物模型对精液体积、精液密度、精子活力和精子畸形率等性状进行遗传相关和表型相关估计;利用R语言程序中的一般线性模型分析采精月龄和季节对精液性状的影响。结果表明,精液体积和精子畸形率属于中等遗传力(0.23和0.38),其中精子畸形率的变异系数较大,为85.42%,其余性状都为低遗传力(0.07~0.19);精液体积与精液密度以及精子活力与精子畸形率为极显著遗传负相关(-0.77和-0.90);精液密度与精子活力呈极显著的遗传正相关(0.50)。采精月龄对精液性状影响显著(P<0.05),在公猪达到性成熟后,精液体积呈显著上升趋势,精液密度和精子畸形率总体呈下降趋势,精子总数和有效精子数在13~18月龄组显著高于其他组(P<0.05)。在春季精液密度最高,精子总数和有效精子数在秋、冬季显著优于春、夏季(P<0.05)。综上,长白公猪精液体积和精子畸形率具有较大的选育潜力,可作为候选性状进行选择。在公猪生产管理方面,公猪36月龄后精液产量下降,考虑更新淘汰。公猪精液品质在秋、冬季显著优于春、夏季,在中国南方夏季应提前做好降温工作。  相似文献   

2.
本研究旨在对华南地区公猪精液性状进行遗传参数估计及估计育种值准确性分析,并评估各精液性状间的遗传相关和表型相关,以及不同固定效应对这些性状的影响,为种公猪的选育和生产管理提供参考依据。本研究收集了华南地区某核心公猪站2020—2022年924头公猪23 470条精液测定记录,利用R软件对影响公猪精液性状的固定效应进行方差分析及显著性检验,利用DMU软件单/多性状重复力模型计算各精液性状的遗传参数和这些性状间的遗传相关和表型相关,并评估各性状估计育种值的准确性。结果显示:品种、年份、季节、公猪胎次、公猪同窝仔猪数和公猪总乳头数等固定效应对各精液性状的影响不同;精液体积、精液密度、精子活力、直线前进运动精子比例、精子畸形率、总精子数的遗传力和重复力分别为0.23、0.28、0.19、0.21、0.298、0.14和0.33、0.32、0.29、0.22、0.63、0.22,各精液性状均具有中等遗传力,精液性状间的表型相关在-0.42~0.58,遗传相关在-0.67~0.55;估计育种值准确性在0.59~0.89,具有较高可信度。以上结果表明,可以通过对精液性状进行选择来提高种公猪精液质量和...  相似文献   

3.
【目的】探究品种、公猪出生胎次、公猪同窝仔猪数、公猪乳头数、采精季节、采精月龄和采精间隔对猪精液品质的影响,以及不同品种对精液质量稳定性的影响。【方法】选取909头杜洛克、长白、大白种公猪为试验群体,收集2021年4月至2022年4月27 408条精液测定记录,采用混合线性分析模型和方差分析探究品种、公猪出生胎次、公猪同窝仔猪数、公猪乳头数、采精季节、采精月龄和采精间隔对精液体积、精液密度、精子活力、直线前进运动精子比例、精子畸形率、总精子数及各精液性状稳定性的影响。【结果】从不同品种对精液品质的影响来看,长白猪精液体积和总精子数均显著高于大白猪、杜洛克猪(P<0.05),杜洛克猪精液密度显著高于大白猪和长白猪(P<0.05),杜洛克猪、大白猪精子活力均显著高于长白猪(P<0.05),大白猪直线前进运动精子比例显著高于长白猪和杜洛克猪(P<0.05),长白猪和大白猪精子畸形率均显著低于杜洛克猪(P<0.05);从不同公猪出生胎次对精液品质的影响来看,1~3胎出生的公猪具有较高的精液品质;从不同采精季节对精液品质的影响来看,精液密度、精子活力和总精子数秋、冬...  相似文献   

4.
本研究对西镇种公牛初夏精液品质八项指标进行了相关分析和重复力估测。结果表明:活力与密度(r=0.977)、密度与存活指敬(r=0.9946)、活力与冻后活力(r=0.894)、活力与存活指数(r=0.9522)、顶体完整率与顶体损害数(r=0.9493)相关显著。精子密度(0.6726)、精液存活指数(0.7761)、和精液损害数(0.8697)为高重复力,每次射精量(0.4246)、活力(0.4775)和冻后活力(0.5064)为中等重复力;精子畸形率(0.2749)和顶体完整数(0.31)为低等重复力。  相似文献   

5.
本实验旨在研究江苏某猪场全年种公猪精液参数的变化规律以及其与环境温度之间的相关性。收集江苏宿迁某猪场65头种公猪2015年的精液参数以及猪场所在地区的温度变化参数,并统计全年不同月份精液参数与环境温度参数之间的相关性。结果表明:8月日最高温均值和日最低温均值达到峰值,2月精液量最低,9月精液头份数最低,8月份精子活力最低,8月精子畸形率最高,10月精子密度最低,9月总精子数和有效精子数最低;夏季(6、7、8月)精液密度、精液头份数、精子活力、总精子数和有效精子数最低、精子畸形率最高,秋季(9、10、11月)精子密度最低;日最高温与精液头份数、精子密度、精子活力、总精子数和有效精子数呈显著负相关,与精子畸形率呈显著正相关。全年种公猪精液品质规律呈春冬季优于夏秋季。  相似文献   

6.
《养猪》2016,(1)
试验按大河乌猪种公猪年龄分3组,系统测定采精量、精液比重、精子活力、精子密度、精子畸形率和精子形态。结果显示,大河乌猪采精量按体积测定为(233.23±78.93)m L、按质量测定为(228.66±80.06)g,精液比重为(1.02±0.01)g/m L,精子活力为(71.26±8.48)%,精子密度为(3.27±1.17)亿个/m L,畸形率为(7.89±7.51)%。采精量、精子活力、精子密度受年龄的影响明显,精子活力与精子密度呈中等正相关,相关系数为0.465(P0.01);不同年龄间精子形态各项指标差异不显著。  相似文献   

7.
【目的】研究采精员、猪舍温湿度、氨气浓度和光照强度对种公猪精液品质的影响,以提高猪精液品质。【方法】选取347头(580±48) d的杜洛克公猪,收集2021年11月至2022年2月共2 966条精液测定记录,采精员做好每天公猪的采精记录,猪舍温湿度、氨气浓度和光照强度参数于每天上午09:00进行测定。使用R软件对采精员记录、环境参数和精液性状进行关联分析。【结果】(1)采精员对精液品质具有显著影响(P<0.05),8号采精员采集的精液精子活力最高、精子畸形率最低。(2)猪舍环境温度为22~25℃时,精子活力显著高于18.5~22℃(P<0.05),精子畸形率显著低于18.5~22℃(P<0.05)。(3)相对湿度在70%~77%时精子活力最高、精子畸形率最低,与相对湿度在46%~60%时差异显著(P<0.05),与相对湿度在60%~70%时无显著差异(P>0.05),相对湿度在60%~70%时精子活力、精子畸形率和总精子数都处于较高水平。(4)随着氨气浓度降低,精子活力和总精子数呈现上升趋势、精子畸形率呈下降趋势,氨气浓度2~4 ppm与5~7.3 pp...  相似文献   

8.
本研究对秦川种公牛初夏精液品质的6项指标重复力进行了初步的估测,其结果表明,精子顶体完整率及畸形率的重复力较高,分别为0.728与0.88;每次射精量、活力及精子密度的重复力居中,分别为0.3183、0.3267及0.5877:而精子顶体损坏数指标的重复力较低,为0.2890。  相似文献   

9.
【目的】探究不同品种、采精季节和采精月龄对法系公猪精液品质的影响,比较不同品种公猪精液的常温保存效果。【方法】选取278头法系杜洛克猪、长白猪和大白猪为试验对象,收集某种公猪站2021年17 960条精液记录数据,采用一般线性模型与方差分析探究品种、采精季节和采精月龄对精液体积、精液密度、精子活力及总精子数的影响;同时于夏季从各品种中分别选取15份精子活力≥90%、前向性运动≥80%精液,稀释后进行为期7 d的常温保存试验,比较不同品种公猪精液常温保存效果。【结果】长白猪精液体积、总精子数均显著高于杜洛克猪和大白猪(P<0.05),杜洛克猪精液密度显著高于长白猪和大白猪(P<0.05),精子活力显著低于长白猪和大白猪(P<0.05)。随着常温保存时间的延长,各品种公猪精液精子活力和前向性运动逐渐降低,其中长白猪精液在夏季常温保存效果最好,杜洛克猪最差。各品种公猪精液体积在秋、冬季均显著高于春、夏季(P<0.05),总精子数春、冬季均显著高于夏、秋季(P<0.05),精液密度在春季显著高于其他季节(P<0.05),各品种公猪精子活力均在冬季最高、夏季最...  相似文献   

10.
计算机辅助精子质量分析(computer-assisted sperm analysis,CASA)系统具有快速、客观、精确等特点,与传统人工分析法相比具有明显的优势。实验选择3个品种9头公猪的精液,采用计算机辅助分析法和人工分析法同时分析精液密度和活力,比较两种方法的差异。CASA采用伟力彩色精子质量检测系统(WLJY-9000),人工分析法采用《种猪常温精液》(GB23238-2009)规定的方法。结果表明,CASA法和人工分析法对精子密度的检测结果差异不显著(P0.05),对杜洛克和大白公猪精子活力的检测差异不显著(P0.05)。CASA与人工分析法对精液密度和活力的检测结果较为一致,CASA更能体现精子的运动状态,对畸形率的观测更为清晰。  相似文献   

11.
The purpose of this study was to estimate the genetic parameters of semen traits of Landrace boars in South China and to analyze the influence of the age and season of semen collection on semen traits, so as to provide theoretical basis for formulating reasonable boar breeding program. The Asreml-R was used to analyze the 107 221 semen data of 1 605 Landrace boars from 2 AI stations in Southern China, the single-trait repeatability animal model was used to estimate the variance components, heritability and repeatability of each semen traits, two-trait repeatability animal model was used to estimate genetic correlation and phenotypic correlation of semen volume, semen density, sperm motility and percentage of abnormal sperm. The general linear model of R language program was used to analyze the influence of age and season of semen collection on semen traits. The results showed that the semen volume and percentage of abnormal sperm had medium heritability (0.23 and 0.38), and the variation coefficient of percentage of abnormal sperm was 85.42%, while the other traits had low heritability (0.07-0.19). Semen volume-semen density and sperm motility-percentage of abnormal sperm had extremely significantly negative genetic correlation(-0.77 and -0.90, respectively). Semen density-sperm motility showed extremely significantly positive genetic correlation (0.50). The influence of the age of semen collection on semen traits was significant(P<0.05). After boars reached sexual maturity, semen volume showed a significant increase, semen density and percentage of abnormal sperm showed a general decrease, and total sperm number and functional sperm number were significantly higher in the 13-18-month of age group than those in the other groups (P<0.05). The semen density was the highest in spring, and the total sperm number and functional sperm number were significantly higher in autumn and winter than those in spring and summer (P<0.05). In conclusion, the semen volume and percentage of abnormal sperm of Landrace boars can be selected as candidate traits. In the boar production management, boar whose semen production after 36 months of age decline, will be considered to update. Boar semen quality was significantly higher in autumn and winter than those in spring and summer. It is suggested that cooling work should be done in advance in Southern China in summer.  相似文献   

12.
The economic profitability of a boar station largely depends on semen quantity and quality traits. However, genetic analysis of semen traits has not yet been done in the boar population in China. In this study, we aimed to estimate genetic parameters for semen traits and the influence of seasons on these traits by using data of Duroc, Landrace and Yorkshire boars in South China. The following four semen traits were analysed: semen volume (ml; VOL), sperm concentration (106/ml; DEN), sperm motility (MOT) and percentage of abnormal sperm (ABN). Genetic parameters and season effects were estimated simultaneously for each breed by using a multiple‐trait (4 × 4) repeatability animal model. The four traits had a moderate heritability with average estimates of 0.23, 0.28, 0.26 and 0.17 across the three breeds, respectively. The estimates of genetic correlations among four traits differed in the three breeds. In particular, in Yorkshire, the four traits were nearly genetically independent. The season of collecting semen had a significant impact on these four semen traits except ABN in Duroc (Bonferroni adjusted p < 0.05/6). The moderate heritabilities indicate the possibility of effective selection of boars for semen traits. Different genetic correlations for the three breeds suggest that the selection strategy for the four traits should be investigated separately for each breed. Some necessary actions should be taken to reduce the influence of seasons on semen traits.  相似文献   

13.
We estimated heritabilities of semen production traits and their genetic correlations with litter traits and pork production traits in purebred Duroc pigs. Semen production traits were semen volume, sperm concentration, proportion of morphologically normal sperms, total number of sperm, and total number of morphologically normal sperm. Litter traits at farrowing were total number born, number born alive, number stillborn, total litter weight at birth, mean litter weight at birth, and piglet survival rate at birth. Litter traits at weaning were litter size at weaning, total litter weight at weaning, mean litter weight at weaning, and piglet survival rate from birth to weaning. Pork production traits were average daily gain, backfat thickness, and loin muscle area. We analyzed 45,913 semen collection records of 896 boars, 6,950 farrowing performance records of 1,400 sows, 2,237 weaning performance records of 586 sows, and individual growth performance records of 9,550 animals measured at approximately 5 mo of age. Heritabilities were estimated using a single-trait animal model. Genetic correlations were estimated using a 2-trait animal model. Estimated heritabilities of semen production traits ranged from 0.20 for sperm concentration to 0.29 for semen volume and were equal to or higher than those of litter traits, ranging from 0.06 for number stillborn and piglet survival rate at birth to 0.25 for mean litter weight at birth, but lower than those of pork production traits, ranging from 0.50 for average daily gain to 0.63 for backfat thickness. In many cases, the absolute values of estimated genetic correlations between semen production traits and other traits were smaller than 0.3. These estimated genetic parameters provide useful information for establishing a comprehensive pig breeding scheme.  相似文献   

14.
Variance components (VC) were estimated for the semen production trait ejaculate volume, sperm concentration and sperm motility in the Swiss cattle breeds Brown Swiss (BS), Original Braunvieh (OB), Holstein (HO), Red‐Factor‐Carrier (RF), Red Holstein (RH), Swiss Fleckvieh (SF) and Simmental (SI). For this purpose, semen production traits from 2,617 bulls with 124,492 records were used. The data were collected in the years 2000–2012. The model for genetic parameter estimation across all breeds included the fixed effects age of bull at collection, year of collection, month of collection, number of collection per bull and day, interval between consecutive collections, semen collector, bull breed as well as a random additive genetic component and a permanent environmental effect. The same model without a fixed breed effect was used to estimate VC and repeatabilities separately for each of the breeds BS, HO, RH, SF and SI. Estimated heritabilities across all breeds were 0.42, 0.25 and 0.09 for ejaculate volume, sperm concentration and sperm motility, respectively. Different heritabilities were estimated for ejaculate volume (0.42; 0.45; 0.49; 0.40; 0.10), sperm concentration (0.34; 0.30; 0.20; 0.07; 0.23) and number of semen portions (0.18; 0.30; 0.04; 0.14; 0.04) in BS, HO, RH, SF and SI breed, respectively. The phenotypic and genetic correlations across all breeds between ejaculate volume and sperm concentration were negative (?0.28; ?0.56). The other correlations across all breeds were positive. The phenotypic and genetic correlations were 0.01 and 0.19 between sperm motility and ejaculate volume, respectively. Between sperm motility and sperm concentration, the phenotypic and genetic correlations were 0.20 and 0.36, respectively. The results are consistent with other analyses and show that genetic improvement through selection is possible in bull semen production traits.  相似文献   

15.
本研究旨在通过对意大利水牛精液品质分析、睾丸周径测量、精浆中的氧化应激水平检测和精子活力相关基因表达情况来探究影响精液质量的相关因素。试验检测了6头意大利水牛精液的活力、畸形率、采精量,并在测量其阴囊周径后进行相关性分析;检测了意大利水牛精浆中氧化应激水平指标(丙二醛(MDA)、总超氧化物歧化酶(T-SOD)、谷胱甘肽过氧化物酶(GSH-Px))并进行了相关性分析;分析了意大利水牛精子β-微管蛋白-2c(TUBB2C)、外周致密纤维2(ODF2)、筑丝蛋白2(TEKT2)、筑丝蛋白4(TEKT4)基因的表达定量及相关性。结果显示,意大利水牛阴囊周径与精液产量、活力、畸形率之间相关系数分别为0.423(P>0.05)、0.750(P<0.01)、-0.827(P<0.01),即阴囊周径与精子活力呈显著正相关关系、与畸形率呈显著负相关关系;意大利水牛精子活力与MDA、T-SOD、GSH-Px指标之间相关系数分别为-0.522(P<0.05)、0.333(P>0.05)、0.474(P<0.05),即精子活力与MDA含量之间存在显著负相关关系,与GSH-Px活性之间存在显著正相关关系,与T-SOD活性相关性不显著;意大利水牛精子活力与TUBB2CODF2、TEKT2、TEKT4基因指标之间相关系数分别为0.930(P<0.01)、0.726(P<0.01)、0.924(P<0.01)、0.839(P<0.01),即精子活力与以上基因表达量存在显著正相关关系。本研究结果为了解影响意大利水牛精液质量的因素提供参考,也为意大利种公水牛的筛选提供理论依据。  相似文献   

16.
This study was aimed to investigate the factors affecting semen quality by analyzing the semen quality of Italian buffaloes,measuring the circumference of the testis,the level of oxidative stress in seminal plasma and the expression of genes related to sperm motility.In this study,the sperm vitality,deformity rate and semen collection of 6 Italian buffaloes were tested,and the correlation analysis was carried out after measuring scrotal circumference.The oxidative stress level of seminal plasma in Italian buffaloes was tested,including malondialdehyde (MDA),total superoxide dismutase (T-SOD) and glutathione peroxidation (GSH-Px).The expression of β-tublin-2c (TUBB2C),outer dense fibres 2 (ODF2),tektin-2 (TEKT2),tektin-4 (TEKT4) genes and their correlation with sperm in Italian buffaloes were analyzed.The results showed that the correlation between scrotal circumference and semen yield,vigor and deformity rate was found,the coefficients were 0.423 (P>0.05),0.750 (P<0.01) and -0.827 (P<0.01),which showed a significant positive correlation between scrotal circumference and sperm motility,and a significant negative correlation with the deformity rate.The oxidative stress level in seminal plasma of Italian buffaloes was tested,the correlation coefficients of MDA,T-SOD and GSH-Px with sperm motility were -0.522 (P<0.05),0.333 (P>0.05) and 0.474 (P<0.05),respectively.There was a significant negative correlation between sperm motility and MDA content,a significant positive correlation between GSH-Px activity and sperm motility,no significant correlation with T-SOD activity.The correlation coefficients between sperm motility and TUBB2C,ODF2,TEKT2 and TEKT4 genes were 0.930 (P<0.01),0.726 (P<0.01),0.924(P<0.01) and 0.839 (P<0.01),respectively.There was a significant positive correlation between sperm motility and the expression of four genes.The results provided a reference for understanding the factors affecting the semen quality of Italian buffaloes,and also provided a theoretical basis for the selection of Italian bull.  相似文献   

17.
选取健康、体况良好、体格大小相近的波德代种公羊6只,分为运动与不运动两组,试验期6d,研究运动状态对绵羊精液品质的影响.结果表明:波德代种公羊平均每次采精量为1.33土0.08 mL,平均精子活率84.24±1.76,平均密度为38.06±2.55亿个/mL,精子畸形率平均为2.64±0.23%.在公羊运动与不运动状态下活率之间差异显著(P<0.05),而射精量、畸形率、密度之间差异不显著(P>0.05);对精液品质特性进行相关性分析发现精子密度与畸形精子率呈显著负相关(P<0.05),其他指标之间相关性不显著(P>0.05).  相似文献   

18.
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   

19.
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   

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