Muvhali Pfunzo T, Bonato Maud, Malecki Irek A, Cloete Schalk W P
Department of Animal Sciences, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa.
Directorate Animal Sciences, Western Cape Department of Agriculture Elsenburg, Private Bag X1, Elsenburg 7607, South Africa.
Animals (Basel). 2022 Apr 25;12(9):1104. doi: 10.3390/ani12091104.
Semen analyses have gained momentum in various livestock industries. However, in farmed ostriches, semen analysis is still in its experimental stage, and males are not screened for sperm quality before breeding. This study investigated the correlations between computer-aided sperm analysis (CASA) technology and the traditional, yet affordable, mass sperm motility score. Semen was collected from nine South African Black ostrich males (mean age ± SD: 5.25 ± 1.21 years), using the dummy female method for 5 consecutive days monthly, for 8 months. Mass sperm motility scores were recorded on a scale of 1−5 (1: little to no sperm movement; 5: rapid sperm movement). The CASA traits recorded were: total motility (MOT), progressive motility (PMOT), curve−linear velocity (VCL), straight-line velocity (VSL), average path velocity (VAP), amplitude of lateral head displacement (ALH), linearity (LIN), straightness (STR), wobble (WOB), and beat-cross frequency (BCF). The results revealed positive correlations between mass sperm motility and PMOT, MOT, VCL, and VAP ranging from 0.34 to 0.59 (p < 0.0001). In contrast, negative correlations were recorded between mass sperm motility and LIN, STR, and BCF, with correlations ranging from −0.20 to −0.39 (p < 0.0001). VSL, ALH, and WOB were not correlated to mass sperm motility (p > 0.05). Ostrich farmers may thus be able to evaluate sperm motility reliably and potentially select breeding males by using the affordable mass sperm motility scoring method. Determining the correlation between these methods and fertility after artificial insemination or natural mating is however needed.
精液分析在各种畜牧业中得到了广泛应用。然而,在养殖鸵鸟中,精液分析仍处于实验阶段,雄性鸵鸟在繁殖前并未进行精子质量筛选。本研究调查了计算机辅助精子分析(CASA)技术与传统但经济实惠的大量精子活力评分之间的相关性。每月连续5天使用假母法从9只南非黑鸵鸟雄性(平均年龄±标准差:5.25±1.21岁)采集精液,共采集8个月。大量精子活力评分按1 - 5级记录(1:几乎没有精子运动;5:精子快速运动)。记录的CASA特征包括:总活力(MOT)、渐进活力(PMOT)、曲线速度(VCL)、直线速度(VSL)、平均路径速度(VAP)、头部侧向位移幅度(ALH)、线性度(LIN)、直线性(STR)、摆动(WOB)和鞭打交叉频率(BCF)。结果显示,大量精子活力与PMOT、MOT、VCL和VAP之间呈正相关,范围为0.34至0.59(p < 0.0001)。相反,大量精子活力与LIN、STR和BCF之间呈负相关,相关性范围为 - 0.20至 - 0.39(p < 0.0001)。VSL、ALH和WOB与大量精子活力无相关性(p > 0.05)。因此,鸵鸟养殖者或许能够通过使用经济实惠的大量精子活力评分方法可靠地评估精子活力,并有可能选择种用雄性鸵鸟。然而,需要确定这些方法与人工授精或自然交配后的生育力之间的相关性。