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Sampling cows to assess lying time for on-farm animal welfare assessment

机译:对奶牛进行采样以评估躺卧时间以进行农场动物福利评估

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摘要

The time that dairy cows spend lying down is an important measure of their welfare, and data loggers can be used to automatically monitor lying time on commercial farms. To determine how the number of days of sampling, parity, stage of lactation, and production level affect lying time, electronic data loggers were used to record lying time for 10 d consecutively, at 3 stages of lactation [early: when cows were at 10-40 d in milk (DIM), mid: 100-140 DIM, late: 200-240 DIM] of 96 Holstein cows in tiestalls (TS) and 127 in freestalls (FS). We calculated daily duration of lying, bout frequency, and mean bout duration. We observed complex interactions between parity and stage of lactation, which differed somewhat between tiestalls and freestalls. First-parity cows had higher bout frequency and shorter lying bouts than older cows but bout frequency decreased and mean bout duration increased as DIM increased. We found that individual cows were not consistent in time spent lying between early and mid lactation (Pearson coefficient, TS: r = 0.1, FS: r = 0.2), whereas cows seemed to be more consistent in time spent lying between mid and late lactation (TS: r = 0.7, FS: r = 0.3). For both TS and FS cows, daily milk production was significantly, but slightly negatively, correlated with lying time across the lactation (range, r: -0.2 to -0.4), whereas parity was slightly to moderately positively correlated with mean bout duration across the lactation (r: +0.2 to +0.6) and negatively with bout frequency (r: -0.2 to -0.5). To estimate how the duration of the time sample affected the estimates of lying time subsets of data subsets consisting of 1, 2, 3, 4, 5, 6, 7, 8, and 9 d per cow were created, and the relationship between the overall mean (based on 10 d) and the mean of each subset was tested by regression. For both TS and FS, lying time based on 4 d of sampling provided good estimates of the average 10-d estimate (90% of accuracy). Automated monitoring of lying time has potential as a measure of dairy cow welfare on commercial farms but cows differ greatly in lying time. To obtain a representative measure for the herd, it is necessary to sample cows based on their parity and stage of lactation but probably not milk production level.
机译:奶牛躺下的时间是衡量其福利的重要指标,数据记录器可用于自动监视商业农场的躺下时间。为了确定采样天数,胎次,泌乳阶段和生产水平如何影响产蛋时间,使用电子数据记录仪在哺乳的三个阶段连续记录了10 d的产蛋时间[早期:当母牛在10岁时牛奶中的-40天(DIM),中期:100-140 DIM,后期:200-240 DIM]在牛栏(TS)中有96头荷斯坦奶牛,在牛栏(FS)中是127天。我们计算了每日卧床时间,发作频率和平均发作时间。我们观察到胎次和泌乳阶段之间的复杂相互作用,在固定胎和自由胎之间有些不同。与DIM相比,初产母牛的回合频率更高,回合频率短,但回合频率降低,平均回合持续时间增加。我们发现,个体母牛在泌乳早期和中期之间的时间花费不一致(皮尔森系数,TS:r = 0.1,FS:r = 0.2),而母牛似乎在泌乳中期和晚期之间的时间花费更加一致(TS:r = 0.7,FS:r = 0.3)。对于TS和FS奶牛,每日泌乳量与哺乳期的产奶时间显着相关,但与二者之间呈负相关(范围:r:-0.2至-0.4),而胎次与整个泌乳期的平均持续时间则呈中度正相关。哺乳期(r:+0.2至+0.6),反跳频率为负(r:-0.2至-0.5)。为了估计时间样本的持续时间如何影响由每头母牛1、2、3、4、5、6、7、8和9 d组成的数据子集的躺时间子集的估计,并且总体均值(基于10 d)和每个子集的均值通过回归检验。对于TS和FS,基于4 d采样的躺卧时间可以很好地估计10 d的平均估计值(准确度为90%)。自动躺卧时间的监测潜力可作为衡量商业农场奶牛福利的指标,但母牛的躺卧时间差异很大。为了获得代表群的代表性指标,有必要根据母牛的同等水平和泌乳阶段对母牛进行抽样,但不一定要根据牛奶的生产水平进行抽样。

著录项

  • 来源
    《Journal of dairy science》 |2012年第9期|p.4968-4977|共10页
  • 作者单位

    Pacific Agri-Food Research Centre, Agriculture and Agri-Food Canada, Agassiz, British Columbia, Canada, VOM 1AO, Organic Dairy Research Center, Universite de Guelph - Campus d'Alfred, Alfred, Ontario, Canada, KOB 1A0;

    Pacific Agri-Food Research Centre, Agriculture and Agri-Food Canada, Agassiz, British Columbia, Canada, VOM 1AO;

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

    Pacific Agri-Food Research Centre, Agriculture and Agri-Food Canada, Agassiz, British Columbia, Canada, VOM 1AO;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    lying time; dairy cow; tiestall; freestall;

    机译:卧床时间奶牛;铁锅Freestall;

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