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Association Between Milk Urea Nitrogen and Fertility in Ohio Dairy Cows

机译:俄亥俄州奶牛的尿素氮与生育能力之间的关联

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The purpose of this study was to evaluate the associ- ation between milk urea nitrogen (MUN) and fertility of dairy cows using field data. The data came from 24 dairy herds belonging to Ohio Dairy Herd Improve- ment Cooperative Inc. Reproductive data and MUN measurements from cows that calved between June 1998 and May 1999 and that had been bred at least once were included in the study. Survival analysis, using the Cox proportional hazards model, was per- formed and days from calving to conception or to the end of the study was used as the outcome. Cows that had not been reported pregnant during the study were considered censored. The mean of monthly MUN val- ues of cows before conception (or the end of the study for censored cows) was used to reflect the MUN status of a cow. Animals were categorized into quartiles based on MUN values in these data. Parity, calving season, peak milk yield, number of services, and herd were included in the models as fixed effects. Cows with MUN levels below 10.0 were 2.4 times more likely and cows with MUN levels between 10.0 and 12.7 mg/dl were 1.4 times more likely to be con- firmed pregnant than cows with MUN values above 15.4 mg/dl. Our results indicate that increasing MUN levels appear to be negatively related to dairy cow fertility and are associated with a lower risk of detect- able pregnancy at herd checks. They also suggest that the levels of MUN that are adversely associated with fertility might be lower than reported earlier.
机译:这项研究的目的是利用田间数据评估牛奶尿素氮(MUN)与奶牛生育力之间的联系。数据来自俄亥俄乳牛群改良合作公司的24个奶牛群。这项研究包括1998年6月至1999年5月之间产犊的母牛的生殖数据和MUN值,并且至少繁殖了一次。使用Cox比例风险模型进行生存分析,并将从产犊到受孕或研究结束的天数作为结果。在研究期间未报告怀孕的母牛被视为检查对象。怀孕前(或受检查的母牛的研究结束)母牛的每月MUN值的平均值用于反映母牛的MUN状况。根据这些数据中的MUN值将动物分为四分位数。作为固定效应,模型中包括了胎次,产犊季节,峰值产奶量,服务数量和畜群。 MUN水平低于10.0 mg / dl的母牛,其MUN水平低于10.0 mg / dl的母牛的可能性要高2.4倍,MUN水平在10.0至12.7 mg / dl的母牛的确诊可能性是其1.4倍。我们的结果表明,增加的MUN水平似乎与奶牛的生育能力负相关,并且与在畜群检查中可检出妊娠的风险较低有关。他们还建议,与生育力不利相关的MUN水平可能低于先前报道的水平。

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