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技术说明:检测与调整异常的测定日产奶量。

Technical note: detection and adjustment of abnormal test-day yields.

作者信息

Wiggans G R, VanRaden P M, Philpot J C

机构信息

Animal Improvement Programs Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705-2350, USA.

出版信息

J Dairy Sci. 2003 Aug;86(8):2721-4. doi: 10.3168/jds.S0022-0302(03)73868-5.

Abstract

A method to detect and to adjust or exclude abnormally low or high milk, fat, and protein yields on test-day (TD) was developed. Predicted TD yield is calculated based on preceding and subsequent (if available) TD yields. Observed TD yields that are < 60% or > 150% of predicted TD yield are defined as abnormal. Most abnormal yields are adjusted to this floor or ceiling, but some are excluded. Yields of < 4.5 kg that are identified as from a cow that was sick or that are less than half the mean of adjacent tests are excluded as are yields of > 59 kg above predicted yield. Lactation yields are calculated from the restricted TD yields. When this procedure was applied to 2002 data, 1.8% of milk, 2.4% of fat, and 1.6% of protein yields on TD were below the acceptance range and 0.1% of milk and protein and 0.8% of fat were above. Predicted TD yield was calculated as preceding TD yield plus preceding test interval multiplied by daily yield change (slope) based on days in milk (DIM), DIM2, previous normal TD yield, and interaction between DIM and previous TD yield. To accommodate changes in slope at peak yield, separate coefficients were estimated for < 50 and > or = 50 DIM. Herd mean was used when only one TD was recorded for a cow (or when two were recorded and the second was designated as abnormal based on the first) and to determine an acceptable range for component percentages. Predicted TD yield for first TD was based on subsequent rather than previous normal TD. To test the adjustments, lactation records with one abnormal TD yield or more were matched with subsequent lactation records. Correlation between consecutive lactations increased from 0.692 to 0.693 for milk (561,063 lactation pairs), from 0.653 to 0.660 for fat (951,387 lactation pairs), and from 0.686 to 0.694 for protein (488,653 lactation pairs). Outlier adjustment improved the correlation between consecutive lactation yields and is applied routinely to TD records of cows for calvings since 1997.

摘要

开发了一种检测并调整或排除测定日(TD)牛奶、脂肪和蛋白质产量异常偏低或偏高的方法。预测的TD产量基于之前和后续(若有)TD产量进行计算。观测到的TD产量低于或高于预测TD产量的60%或150%则定义为异常。大多数异常产量会调整到这个下限或上限,但有些会被排除。确定为来自生病奶牛的低于4.5千克的产量,或低于相邻检测平均值一半的产量,以及高于预测产量59千克的产量均被排除。泌乳产量根据受限的TD产量进行计算。当将此程序应用于2002年的数据时,TD上1.8%的牛奶产量、2.4%的脂肪产量和1.6%的蛋白质产量低于可接受范围,0.1%的牛奶和蛋白质产量以及0.8%的脂肪产量高于该范围。预测的TD产量计算为之前的TD产量加上之前的检测间隔乘以基于泌乳天数(DIM)、DIM2、之前正常的TD产量以及DIM与之前TD产量之间相互作用的日产变化(斜率)。为适应产量峰值时斜率的变化,针对小于50天和大于或等于50天的DIM分别估计了系数。当一头奶牛仅记录了一次TD产量(或者记录了两次且第二次根据第一次被指定为异常)时,使用牛群平均值,并确定成分百分比的可接受范围。第一次TD的预测TD产量基于后续而非之前的正常TD产量。为检验调整效果,将有一次或多次异常TD产量的泌乳记录与后续泌乳记录进行匹配。连续泌乳之间的相关性对于牛奶(561,063对泌乳记录)从0.692提高到0.693,对于脂肪(951,387对泌乳记录)从0.653提高到0.660,对于蛋白质(488,653对泌乳记录)从0.686提高到0.694。异常值调整提高了连续泌乳产量之间的相关性,自1997年起常规应用于奶牛产犊后的TD记录。

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