Milk consumption and behavior of calves in automated calf feeders as early indicators of weaning liveweight

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Abstract

Modern intensive dairy farming relies on data to aid and prioritize management decisions made on farm. Decisions made early in an animal's life can have lasting effects on welfare, productivity, longevity, and profitability. Precision technology such as automated calf feeders (ACF) allow the customization of feeding programs, but despite this, weaning weights (WWT) vary substantially between calves. This observational study used a 3-yr dataset comprising 1,440 female Holstein Friesian calves at a single intensive commercial dairy farm (Dairy Australia feeding system 5; indoor, total mixed ration) using ACF to (1) determine the variability in WWT (as a proxy of animal performance) of calves within this system; (2) identify the contributing factors responsible for the variation in WWT; and (3) identify potential early management intervention points that could be indicative of the performance of calves at weaning within the system. Calves entered the ACF at 10 d of age with 12 calves per ACF; calves were weighed at birth and weaning using weigh scales. We discovered a large range of calf WWT (41–118 kg/head) at ~60 d of age despite the application of strict uniform management protocols. Our results from modeling showed that WWT was significantly and positively associated with birth weight (BWT), with low BWT calves (<36 kg) achieving an average of 70 kg weight at weaning. In contrast, heavier BWT (>36 kg) calves achieved an average of 82 kg at weaning. Based on calf feeder data, cumulative milk consumption and cumulative unrewarded visits to the feeder, as well as BWT, were identified as indicators of greater WWT as all these were highly significant terms in the model for WWT. Results suggest that quantifying consumption and number of visitations to the ACF at d 5 may allow farmers to identify, with time to intervene, calves underperforming within the feeder or system, therefore increasing their potential for growth. Additionally, this demonstrated that greater milk consumption (>30 kg) and interaction with the feeder up to d 5 in the feeder is more likely to yield a WWT >75 kg, identifying a potential point for management intervention for calves below consumption and interaction thresholds (e.g., by developing alarm systems based on consumption or visitation number).

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自动犊牛饲喂器中犊牛的牛奶消耗量和行为作为断奶活重的早期指标
现代集约化奶牛场依靠数据来辅助并优先考虑牧场的管理决策。在动物生命早期做出的决策会对其福利、生产率、寿命和盈利能力产生持久影响。自动犊牛饲喂器(ACF)等精准技术可以定制饲喂计划,但尽管如此,不同犊牛的断奶体重(WWT)仍有很大差异。这项观察性研究使用了一个为期3年的数据集,其中包括在一个使用ACF的集约化商业奶牛场(澳大利亚奶牛场饲喂系统5;室内,全混合日粮)饲喂的1440头荷斯坦弗里斯兰雌性犊牛,目的是:(1)确定该系统中犊牛断奶体重的变化(作为动物性能的替代指标);(2)确定导致断奶体重变化的因素;以及(3)确定潜在的早期管理干预点,这些干预点可能对该系统中犊牛的断奶性能具有指示作用。犊牛在 10 日龄时进入 ACF,每个 ACF 有 12 头犊牛;犊牛在出生和断奶时使用称重秤称重。我们发现,尽管采用了严格的统一管理规程,但犊牛在约 60 日龄时的WWT(41-118 千克/头)仍有很大差异。我们的建模结果表明,犊牛的WWT与出生体重(BWT)呈显著正相关,低BWT犊牛(36 kg)断奶时的平均体重为70 kg。相比之下,体重较重(36 千克)的犊牛断奶时平均体重为 82 千克。根据犊牛饲喂器数据,累计耗奶量和累计无回报的饲喂次数以及体重,被确定为更大WWT的指标,因为所有这些在WWT模型中都是非常显著的项。研究结果表明,在第5天时量化犊牛的消耗量和到饲养场的次数可使饲养者及时发现在饲养场或系统中表现不佳的犊牛,并进行干预,从而提高它们的生长潜力。此外,研究还表明,犊牛在第5天之前在饲喂器中的耗奶量越大(30千克)、与饲喂器的互动次数越多,其WWT值就越有可能达到75千克,从而为低于耗奶量和互动次数阈值的犊牛确定了一个潜在的管理干预点(例如,通过开发基于耗奶量或到访次数的报警系统)。
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JDS communications
JDS communications Animal Science and Zoology
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