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首页> 外文期刊>Sustainable Agriculture Research >Impact of the Selection Criteria of Artificially Inseminated Cows on the Probability of Conception and the Occurrence of Embryonic Mortality in Senegal: Modeling Approach
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Impact of the Selection Criteria of Artificially Inseminated Cows on the Probability of Conception and the Occurrence of Embryonic Mortality in Senegal: Modeling Approach

机译：塞内加尔人工授精母牛的选择标准对受孕概率和胚胎死亡率的影响：建模方法

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The objective of this study was to measure the relative influence of the animal’s age, body condition score (BCS), glycemia at day of insemination (D 0 ) and the livestock management system on the probability of conception and occurrence of embryonic mortalities. In this study, 81 inseminated cows both of the Gobra Zebu breed and crossbred were sampled. Blood samples were collected the day of insemination (D 0 ) and twenty-one (D 21 ) and thirty-five (D 35 ) days after AI. The BCS, the age and the livestock management system were recorded for all animals before the artificial insemination (AI). The glycemia was measured on D 0 . Pregnancy diagnosis was performed by progesterone and pregnancy associated glycoprotein assays and transrectal palpation. A multinomial logistic model was used to analyze the effect of the selection criteria for cows on the success rate of AI. The pregnancy diagnosis makes possible to detect 47% of pregnant cows and 26% of late embryonic mortality (LEM) at D 60 post AI. The maximum likelihood test carried out on the model permits to reject the null hypothesis (p < 0.0001) according to which all animals have the same chance of being pregnant (47%). The variables thus provide a significant amount of information to explain the variability in the success rate of AI. The most significant factor was age (p < 0.0001), followed by the BCS, then glycemia and finally the livestock management system (p = 0.047). The BCS is the factor that most explains the variability in pregnant cows. For the group of LEM, age of the animal accounts for variability.
机译：这项研究的目的是测量动物的年龄，身体状况评分（BCS），授精当天的血糖（D 0）和家畜管理系统对受孕和胚胎死亡的可能性的相对影响。在这项研究中，采样了81头Gobra Zebu品种和杂种的受精母牛。在人工授精当天（D 0），二十一日（D 21）和三十五天（D 35）收集血样。在人工授精（AI）之前，记录所有动物的BCS，年龄和牲畜管理系统。在D 0上测量血糖。孕期诊断通过孕激素和妊娠相关的糖蛋白测定和经直肠触诊进行。使用多项逻辑模型分析奶牛选择标准对人工授精成功率的影响。怀孕诊断可以在AI后第60天检测出47％的怀孕母牛和26％的晚期胚胎死亡率（LEM）。在模型上进行的最大似然检验允许否定原假设（p <0.0001），据此所有动物都有相同的受孕机会（47％）。因此，变量提供了大量信息来解释AI成功率的可变性。最重要的因素是年龄（p <0.0001），其次是BCS，然后是血糖，最后是牲畜管理系统（p = 0.047）。 BCS是最能解释孕牛变异性的因素。对于LEM组，动物年龄是变异性的原因。

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