Changes in some vaginal mucus parameters were studied in order to generate predictive models capable of enhancing oestrous cycle staging, using equal groups (unsynchronized‐USC [no treatment] and synchronized‐SC [Synchromate^® i/m on d0, d11]) of Bunaji cows (n = 48) aged 3–4 years. Vaginal mucus was collected (starting d11 in SC) daily over 26 days using standard procedures. Physical (viscosity, elasticity, density, resistivity) and biochemical (pH, glucose, cholesterol, total protein, calcium, magnesium, sodium, potassium) parameters were evaluated using standard procedures. Data were analysed using chi‐square and multinomial logit regression modelling. Models generated using oestrus as reference categories were ascertained for accuracies. Chi‐square values for viscosity, elasticity and density were significant (p < .01) in USC and SC across stages of the cycle. Results for USC showed that pH and cholesterol were predictive (p < .01) for pro‐oestrus, metoestrus and dioestrus, while total protein was predictive (p < .01) for dioestrus only. Similarly, magnesium was predictive (p < .05) for pro‐oestrus. For SC, pH, magnesium and cholesterol were predictive (p < .01) for pro‐oestrus, metoestrus and dioestrus, while total protein was predictive (p < .01) for pro‐oestrus and dioestrus. Potassium and total protein were also predictive for metoestrus at 10% and 5% significance levels, respectively. Though findings suggest the usefulness of magnesium in staging the oestrous cycle only in synchronized cows, pH, total protein and cholesterol appeared to be the more important vaginal mucus parameters in Bunaji cows, regardless synchronization. Furthermore, the models developed showed high accuracy levels for staging the oestrous cycle in USC (100%) and SC (89%).

中文翻译：

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阴道粘液参数研究：分期布纳吉牛的发情周期模型的开发。

进行了研究，以便产生能够增强发情周期分期的预测模型在一些阴道粘液参数的变化，使用相等的组（不同步-USC [无处理]和同步-SC [Synchromate ^® I / D0上米，D11]）Bunaji的牛（ñ = 48）年龄为3-4岁。使用标准程序在26天之内每天收集阴道粘液（在SC中从d11开始）。使用标准程序评估物理（粘度，弹性，密度，电阻率）和生化（pH，葡萄糖，胆固醇，总蛋白质，钙，镁，钠，钾）参数。使用卡方和多项式logit回归模型分析数据。确定使用发情作为参考类别生成的模型的准确性。 在整个循环的各个阶段，USC和SC中的粘度，弹性和密度的卡方值均很显着（p <.01）。USC的结果表明，pH和胆固醇 对于发情前，胃发情和二发情具有预测性（p <.01），而总蛋白具有预测性（p <.01）仅用于发情期。同样，镁对 发情期也有预测作用（p <.05）。为SC，pH值，镁和胆固醇含量的预测（p  <0.01）为亲发情，动情后期和dioestrus，而总蛋白预测（p  <0.01），用于亲和发情dioestrus。钾和总蛋白还分别以10％和5％的显着性水平预测线粒体发情。尽管发现表明镁仅在同步奶牛的发情周期中有用，但无论同步性如何，pH，总蛋白和胆固醇似乎是布纳吉奶牛更重要的阴道粘液参数。此外，开发的模型在分阶段USC（100％）和SC（89％）的发情周期中显示出很高的准确性。