Department of Animal Science, University of California, Davis, CA 95616.
Department of Animal Science, University of California, Davis, CA 95616.
J Dairy Sci. 2023 Jul;106(7):4725-4737. doi: 10.3168/jds.2022-22658. Epub 2023 May 22.
Heat stress (HS) negatively affects dry matter intake (DMI), milk yield (MY), feed efficiency (FE), and free water intake (FWI) in dairy cows, with detrimental consequences to animal welfare, health, and profitability of dairy farms. Absolute enteric methane (CH) emission, yield (CH/DMI), and intensity (CH/MY) may also be affected. Therefore, the goal of this study was to model the changes in dairy cow productivity, water intake, and absolute CH emissions, yield, and intensity with the progression (days of exposure) of a cyclical HS period in lactating dairy cows. Heat stress was induced by increasing the average temperature by 15°C (from 19°C in the thermoneutral period to 34°C) while keeping relative humidity constant at 20% (temperature-humidity index peaks of approximately 83) in climate-controlled chambers for up to 20 d. A database composed of individual records (n = 1,675) of DMI and MY from 82 heat-stressed lactating dairy cows housed in environmental chambers from 6 studies was used. Free water intake was also estimated based on DMI, dry matter, crude protein, sodium, and potassium content of the diets, and ambient temperature. Absolute CH emissions was estimated based on DMI, fatty acids, and dietary digestible neutral detergent fiber content of the diets. Generalized additive mixed-effects models were used to describe the relationships of DMI, MY, FE, and absolute CH emissions, yield, and intensity with HS. Dry matter intake and absolute CH emissions and yield reduced with the progression of HS up to 9 d, when it started to increase again up to 20 d. Milk yield and FE reduced with the progression of HS up to 20 d. Free water intake (kg/d) decreased during the exposure to HS mainly because of a reduction in DMI; however, when expressed in kg/kg of DMI it increased modestly. Methane intensity also reduced initially up to d 5 during HS exposure but then started to increase again following the DMI and MY pattern up to d 20. However, the reductions in CH emissions (absolute, yield, and intensity) occurred at the expense of decreases in DMI, MY, and FE, which are not desirable. This study provides quantitative predictions of the changes in animal performance (DMI, MY, FE, FWI) and CH emissions (absolute, yield, and intensity) with the progression of HS in lactating dairy cows. The models developed in this study could be used as a tool to help dairy nutritionists to decide when and how to adopt strategies to mitigate the negative effects of HS on animal health and performance and related environmental costs. Thus, more precise and accurate on-farm management decisions could be taken with the use of these models. However, application of the developed models outside of the ranges of temperature-humidity index and period of HS exposure included in this study is not recommended. Also, validation of predictive capacity of the models to predict CH emissions and FWI using data from in vivo studies where these variables are measured in heat-stressed lactating dairy cows is required before these models can be used.
热应激(HS)会降低奶牛的干物质采食量(DMI)、产奶量(MY)、饲料效率(FE)和自由水采食量(FWI),对动物福利、健康和奶牛场的盈利能力产生不利影响。绝对肠道甲烷(CH)排放量、产量(CH/DMI)和强度(CH/MY)也可能受到影响。因此,本研究的目的是模拟在泌乳奶牛中,随着周期性 HS 期的进展(暴露天数),奶牛生产性能、水摄入量和绝对 CH 排放、产量和强度的变化。通过在气候控制室中将平均温度升高 15°C(从热中性期的 19°C 升高到 34°C),同时将相对湿度保持在 20%(温度-湿度指数峰值约为 83),在长达 20 天的时间内诱导热应激。使用了由 6 项研究中 82 头处于热应激环境的泌乳奶牛的个体记录(n=1675)组成的数据库,记录了 DMI 和 MY。还根据 DMI、干物质、粗蛋白、钠和钾的饮食含量以及环境温度来估计自由水摄入量。绝对 CH 排放量是根据 DMI、脂肪酸和饮食中可消化中性洗涤纤维的含量来估算的。使用广义加性混合效应模型来描述 DMI、MY、FE 和绝对 CH 排放、产量和强度与 HS 的关系。DMI、绝对 CH 排放和产量随着 HS 的进展而减少,直到第 9 天,然后又开始增加,直到第 20 天。产奶量和 FE 随着 HS 的进展而减少,直到第 20 天。在暴露于 HS 期间,DMI 的减少导致自由水摄入量(kg/d)减少;然而,当以 DMI/kg 的形式表示时,它会适度增加。甲烷强度在 HS 暴露的第 5 天也会先减少,但随后会再次随着 DMI 和 MY 的模式增加,直到第 20 天。然而,CH 排放(绝对、产量和强度)的减少是以 DMI、MY 和 FE 的减少为代价的,这是不理想的。本研究提供了定量预测泌乳奶牛 HS 进展过程中动物性能(DMI、MY、FE、FWI)和 CH 排放(绝对、产量和强度)变化的方法。本研究中开发的模型可以作为一种工具,帮助奶牛营养师决定何时以及如何采取策略来减轻 HS 对动物健康和性能以及相关环境成本的负面影响。因此,使用这些模型可以做出更精确和准确的农场管理决策。然而,不建议在本研究中包含的温度-湿度指数范围和 HS 暴露期之外应用这些模型。此外,在使用这些模型之前,需要使用在热应激泌乳奶牛中测量这些变量的体内研究的数据来验证模型预测 CH 排放和 FWI 的能力。