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Relationship between pubertal testicular ultrasonographic evaluation and future reproductive performance potential in Pietrain boars

机译:Pietrain猪青春期睾丸超声评估与未来生殖性能潜力的关系

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摘要

New ways of predicting sperm quality and output performance in young artificial insemination (AI) boars are important for breeding companies to ensure that the pubertal boars delivered to the AI studs have a high chance of meeting minimum quality standards to be used for insemination and therewith dissemination of desirable characteristics. The aim of the current study was to characterize the testicular development of 218 pubertal Pietrain boars (Line 408, Pig Improvement Company) to identify traits with predictable characteristics relative to their sperm quality as an adult AI boar. Scrotum, testes and epididymis were examined ultrasonographically at day (d) 100 (on-test) and 170 (off-test) followed by a computer-assisted grayscale analysis (GSA). Over the test period, paired testicular volume increased 7.3-fold from 22.7 +/- 10.8 cm(3) to 166.6 +/- 62.2 cm(3). The right testis was significantly (P = 0.014) larger than the left one at the off-test. Based on the sperm quality (ejaculate volume, sperm concentration, total sperm number, morphologically abnormal sperm and total sperm motility at day 3 of semen storage), 82.11% (n = 179) of the boars were classified as "productive" boars. These boars had a significantly (P = 0.039) larger paired testicular volume than "non-productive" boars (45.9 +/- 19.9 cm(3) vs. 38.5 +/- 12.6 cm(3)) at the on-test. For the right testis at on-test, significant differences for the standard deviation of mean gray value (P = 0.022), area under the curve (P = 0.004) and mean gradient value (GRAD, P = 0.030) regarding the future sperm production capacity (SPC) were shown. At off-test, there was a significant difference for minimum gray value (MIN GV, P = 0.003) and mean gray value (P = 0.001) related to SPC. To find SPC related cut-off values for GSA data, a two segmental non-linear regression analysis was carried out indicating breakpoints for GRAD >= 12 and MIN GV >= 40 for boars with low SPC. Off-test boars with MIN GV >= 40 showed a 2.4 higher risk to display low SPC (Odds ratio = 2.4 [1.1, 5.4]; P = 0.024). The results may enable breeding companies to include new sperm quality associated traits in their boar testing and selection programs. (C) 2020 Elsevier Inc. All rights reserved.
机译:预测年轻人工授精(AI)公猪精子质量和输出性能的新方法对于育种公司非常重要,以确保交付给人工授精(AI)母猪的青春期公猪有很高的机会达到用于授精的最低质量标准,从而传播理想的特性。本研究的目的是描述218头青春期皮特兰公猪(猪改良公司408号线)的睾丸发育特征,以确定与成年AI公猪精子质量相关的可预测特征。在第(d)100天(试验中)和第170天(试验中)对阴囊、睾丸和附睾进行超声检查,然后进行计算机辅助灰度分析(GSA)。在试验期间,配对睾丸体积增加了7.3倍,从22.7+/-10.8厘米(3)增加到166.6+/-62.2厘米(3)。非测试时,右侧睾丸显著(P=0.014)大于左侧睾丸。根据精子质量(射精量、精子浓度、总精子数、形态异常精子和精液保存第3天的总精子活力),82.11%(n=179)的公猪被归类为“多产”公猪。在on试验中,这些公猪的成对睾丸体积显著(P=0.039)大于“非生产性”公猪(45.9+/-19.9 cm(3)vs.38.5+/-12.6 cm(3))。对于试验中的右侧睾丸,关于未来精子生产能力(SPC)的平均灰度值(P=0.022)、曲线下面积(P=0.004)和平均梯度值(GRAD,P=0.030)的标准偏差存在显著差异。在关闭测试时,与SPC相关的最小灰度值(最小GV,P=0.003)和平均灰度值(P=0.001)存在显著差异。要找到GSA数据的SPC相关截止值,进行了两段非线性回归分析,表明SPC低的公猪的GRAD>=12和MIN GV>=40的断点。MIN GV>=40的非试验公猪显示SPC低的风险高2.4(优势比=2.4[1.1,5.4];P=0.024)。这一结果可能会使育种公司在公猪测试和选择项目中纳入新的精子质量相关特征。(C) 2020爱思唯尔公司版权所有。

著录项

  • 来源
    《Theriogenology》 |2020年第1期|共8页
  • 作者单位

    Inst Reprod Farm Anim Schonow Bernauer Allee 10 D-16321 Bernau Germany;

    Inst Reprod Farm Anim Schonow Bernauer Allee 10 D-16321 Bernau Germany;

    Inst Reprod Farm Anim Schonow Bernauer Allee 10 D-16321 Bernau Germany;

    Inst Reprod Farm Anim Schonow Bernauer Allee 10 D-16321 Bernau Germany;

    Genossenschaft Forderung Schweinehaltung Zum Popping 29 D-59387 Ascheberg Germany;

    Besamungsverein Neustadt AD Aisch eV Karl Eibl Str 17-27 D-91413 Neustadt Germany;

    Inst Reprod Farm Anim Schonow Bernauer Allee 10 D-16321 Bernau Germany;

    Pig Improvement Co 100 Bluegrass Commons Blvd Ste 2200 Hendersonville TN 37075 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 动物学;
  • 关键词

    Artificial insemination; Boar semen; B-mode ultrasonography; Puberty; Testicular development;

    机译:人工授精;野猪精液;B模式超声;青春期;睾丸发育;
  • 入库时间 2022-08-20 19:20:09

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