Valverde Anthony, Arenán Héctor, Sancho María, Contell Jesús, Yániz Jesús, Fernández Alejandro, Soler Carles
Technological Institute of Costa Rica, San Carlos Campus, School of Agronomy, 223-21001 Alajuela, Costa Rica.
Xenética Fontao, Fontao-Esperante, 27210 Lugo, Spain.
Asian J Androl. 2016 Nov-Dec;18(6):851-857. doi: 10.4103/1008-682X.187579.
Sperm quality is evaluated for the calculation of sperm dosage in artificial reproductive programs. The most common parameter used is motility, but morphology has a higher potential as a predictor of genetic quality. Morphometry calculations from CASA-Morph technology improve morphological evaluation and allow mathematical approaches to the problem. Semen from 28 Holstein bulls was collected by artificial vagina, and several ejaculates were studied. After general evaluation, samples were diluted, packaged in 0.25 ml straws, and stored in liquid nitrogen. Two straws per sample were thawed, and slides were processed and stained with Diff-Quik. Samples were analyzed by a CASA-Morph system for eight morphometric parameters. In addition to the "classical" statistical approach, based on variance analysis (revealing differences between animals, ejaculates, and straws), principal component (PC) analysis showed that the variables were grouped into PC1, related to size, and PC2 to shape. Subpopulation structure analysis showed four groups, namely, big, small, short, and narrow from their dominant characteristics, representing 31.0%, 27.3%, 24.1%, and 17.7% of the total population, respectively. The distributions varied between animals and ejaculates, but between straws, there were no differences in only four animals. This modern approach of considering an ejaculate sperm population as divided into subpopulations reflecting quantifiable parameters generated by CASA-Morph systems technology opens a new view on sperm function. This is the first study applying this approach to evaluate different ejaculates and straws from the same individual. More work must be done to improve seminal dose calculations in assisted reproductive programs.
在人工生殖程序中,为了计算精子剂量会对精子质量进行评估。最常用的参数是活力,但形态学作为遗传质量的预测指标具有更高的潜力。来自CASA-Morph技术的形态测量计算改善了形态学评估,并允许采用数学方法来解决该问题。通过人工阴道收集了28头荷斯坦公牛的精液,并对多个射精样本进行了研究。经过常规评估后,将样本稀释,装入0.25毫升的细管中,并储存在液氮中。每个样本解冻两根细管,制作玻片并使用Diff-Quik染色。通过CASA-Morph系统对样本进行八个形态测量参数的分析。除了基于方差分析的“经典”统计方法(揭示动物、射精样本和细管之间的差异)外,主成分(PC)分析表明,变量被分为与大小相关的PC1和与形状相关的PC2。亚群结构分析显示有四组,即从其主要特征来看的大、小、短和窄,分别占总群体的31.0%、27.3%、24.1%和17.7%。分布在动物和射精样本之间有所不同,但在细管之间,只有四只动物没有差异。这种将射精精子群体视为分为反映CASA-Morph系统技术产生的可量化参数的亚群的现代方法,为精子功能开辟了新的视角。这是第一项应用这种方法评估来自同一个体的不同射精样本和细管的研究。在辅助生殖程序中,必须开展更多工作来改进精液剂量计算。