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Repeatability and frequency of in-paddock sheep walk-over weights: implications for flock-based management.

机译:围场内羊走肉重量的可重复性和频率:对基于羊群的管理的影响。

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摘要

The ability to monitor average liveweight of a sheep flock provides livestock managers the opportunity to nutritionally manage their flock for higher productivity. Mob-based walk-over weighing (MBWOW) is a remote weighing concept for sheep flocks whereby liveweights are collected as the animals pass freely over a strategically placed weighing platform. We tested the hypothesis that the repeatability and frequency of MBWOW data are sufficient to generate sheep flock average liveweight estimates with a 95% confidence interval (CI) of <2 kg over a 5-day time period. These criteria were considered reasonable, in terms of accuracy and timeliness, for application in a commercial context. Radio frequency-identified WOW data were obtained from four sheep flocks in south-eastern New South Wales, representing a mix of age and breeds, as sheep traversed a remote weighing platform to and from some form of incentive. The repeatability and frequency of three forms of radio frequency-identified WOW data, being raw (unfiltered), course-filtered (filtered to remove all sheep weights outside the flock weight range) and fine-filtered (filtered to remove all sheep weights outside a 25% range of a recent flock average reference weight), were used in a simulation to test the 95% CI of 1- and 5-day MBWOW liveweight capture periods (samples). All data-filtering approaches over a 5-day sample generated flock average liveweight estimates with 95% CI of <2 kg, thus meeting the hypothesis criteria. One-day samples generated flock average liveweight estimates with 95% CI of >2 kg and data filtering, although reducing the 95% CI, did not bring it below the hypothesis criteria. Thus, when the appropriate data handling technique is used, MBWOW may provide information suitable for sheep management decision-making in a commercial context.
机译:监视羊群平均活重的能力为牲畜管理者提供了营养管理其羊群的机会,从而提高了生产率。基于生物的步行式称重(MBWOW)是一种用于羊群的远程称重概念,通过在动物经过战略性放置的称重平台上自由通过时收集活重。我们测试了以下假设:MBWOW数据的重复性和频率足以在5天的时间段内生成小于2 kg的95%置信区间(CI)的羊群平均活重估计值。就准确性和及时性而言,这些标准被认为在商业环境中是合理的。射频识别的WOW数据是从新南威尔士州东南部的四只羊群中获得的,这些羊群代表年龄和品种的混合,因为羊群往返于偏远的称重平台并受到某种形式的激励。三种形式的射频识别的WOW数据的重复性和频率:原始(未过滤),过程过滤(过滤以除去羊群重量范围以外的所有羊体重)和精细过滤(过滤以除去畜群重量范围以外的所有羊重量)在模拟中使用25%最新鸡群平均参考体重的范围来测试1天和5天MBWOW活体重捕获期(样本)的95%CI。在5天的样本中,所有数据过滤方法均产生了95%CI <2 kg的鸡群平均活体重估计值,因此符合假设标准。一日样本生成的鸡群平均活重估计值为95%CI> 2 kg,数据过滤虽然降低了95%CI,但并未使其低于假设标准。因此,当使用适当的数据处理技术时,MBWOW可以提供适合在商业环境中进行绵羊管理决策的信息。

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