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牛奶产量对奶牛群繁殖性能的影响。

Effect of milk production on reproductive performance in dairy herds.

机构信息

Cátedra de Higiene, Epidemiología y Salud Pública, Facultad de Ciencias Veterinarias-Universidad Nacional de La Plata, La Plata, B1900AVW, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, C1033AAJ, Argentina.

Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada N1G 2W1.

出版信息

J Dairy Sci. 2018 Aug;101(8):7575-7584. doi: 10.3168/jds.2017-13796. Epub 2018 May 24.

Abstract

The objective of the present study was to assess the relationship between individual cow milk yield and fertility, accounting for the contextual effect of the herd. A data set including 657,968 lactations from 677 dairy herds in Argentina from 2001 to 2012 was used. The odds of pregnancy by 100 d in milk (DIM) were assessed by a multilevel logistic model (with cow as the first and herd as the second hierarchical level), and time to pregnancy was assessed by a proportional hazards regression model. Multilevel logistic models included the fixed effects of milk yield by 80 DIM, parity, year, and calving season at cow level and quartiles of herd milk yield by 80 DIM as a contextual effect. The proportional hazards model included the effect of daily cow-level milk yield as time-dependent variable, with milk yield at herd level as the stratification variable. Cows producing 1 standard deviation over the mean milk yield of their herd had 1.3 percentage point lower pregnancy by 100 DIM (from 31.4 to 30.1%; odds ratio = 0.942) when in herds in the top quartile of milk yield, whereas they increased 0.5 percentage points (from 27.9 to 28.4%) when in herds in the lowest quartile of milk yield. Only 4% of the observed variation in pregnancy by 100 DIM was explained by the random effect of the herd. Similarly, cows producing 1 standard deviation (8 kg/d) greater than the herd mean daily milk had 1.3% lower hazard of pregnancy (hazard ratio = 0.987) at 63 DIM in herds in the top quartile of milk yield, whereas they had 14.8% higher hazard (hazard ratio = 1.148) in herds in the lowest quartile of milk yield. The magnitude of the negative association between the cow's daily milk yield and the hazard of pregnancy increased with DIM. In conclusion, the relationship between milk yield and reproductive performance is statistically significant, but the effect size is practically small and is modulated by herd production level.

摘要

本研究旨在评估个体奶牛产奶量与繁殖性能之间的关系,并考虑牛群的背景效应。使用了来自阿根廷 2001 年至 2012 年 677 个奶牛场的 657968 个泌乳期的数据。通过多层次逻辑模型(以奶牛为第一层次,牛群为第二层次)评估妊娠 100 天的概率(以天表示),并通过比例风险回归模型评估妊娠时间。多层次逻辑模型包括牛群产奶量在 80 天的固定效应、胎次、年份和产犊季节,以及牛群产奶量在 80 天的四分位数作为背景效应。比例风险模型包括奶牛产奶量在每天的时间依赖性变量,牛群产奶量为分层变量。在产奶量处于牛群前四分位数的情况下,与牛群平均产奶量相比,产奶量高出 1 个标准差的奶牛妊娠 100 天的概率降低了 1.3 个百分点(从 31.4%降至 30.1%;优势比=0.942),而在产奶量处于牛群后四分位数的情况下,妊娠 100 天的概率增加了 0.5 个百分点(从 27.9%增加至 28.4%)。牛群的随机效应仅解释了妊娠 100 天概率观测值变异的 4%。同样,在产奶量处于牛群前四分位数的情况下,与牛群平均日产奶量相比,产奶量高出 1 个标准差(8 公斤/天)的奶牛,在 63 天的妊娠风险降低了 1.3%(风险比=0.987),而在产奶量处于牛群后四分位数的情况下,妊娠风险增加了 14.8%(风险比=1.148)。奶牛日产奶量与妊娠风险之间的负相关关系随着时间的推移而增大。总之,产奶量与繁殖性能之间存在统计学显著关系,但效应大小在实践中很小,且受牛群产奶量水平的调节。

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