Effect of ambient temperature in lactating sows, a meta-analysis and simulation approach in the context of climate change

J.-Y. Dourmad , V. Le Velly , J.-L. Gourdine , D. Renaudeau
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引用次数: 2

Abstract

Because of their intense metabolism, lactating sows are highly sensitive to high ambient temperature which induces a reduction in their voluntary feed intake and milk production, which decreases piglet weaning weight. This also results in an increase in mobilisation of body reserves that may impair reproduction after weaning. The aim of the study was to quantify, on the basis of a quantitative analysis of the literature data, the effect of ambient temperature on the performance and physiology of lactating sows, with the perspective of integrating this knowledge in sow nutrition decision support tools. A literature database with 38 publications and a total of 227 observations was built in order to adjust prediction equations according to temperature, using a Mixed linear or quadratic model with random effect of publication, for different criteria such as feed intake, litter and piglet growth rate, milk production, maternal body reserve mobilisation, respiratory rate (RR) and core body temperature. The first criterion with the highest response to temperature was RR which increased by 175 % between 22 °C and 32 °C. The second most affected criterion was feed intake which was reduced by 36 % between 22 °C and 32 °C, and the third one was milk production which was reduced by 20 % between 22 °C and 32 °C. The equations obtained from the meta-analysis were incorporated into a nutrition model, based on InraPorc®, in order to predict, in the context of climate change, the effect of temperature on feed intake, milk production, energy and aminoacid utilisation, and body reserve mobilisation. The simulations performed using this model clearly indicate that nutrient requirement of sows per kg feed is affected by variation in ambient temperature due to seasons or to expected climate change. In practice, the integration of these new equations in nutritional models will enable feed composition to be better adapted to the season and to the geographical location of farms.

气候变化背景下环境温度对泌乳母猪影响的meta分析与模拟方法
由于哺乳母猪代谢旺盛,对高环境温度非常敏感,这会导致母猪自愿采食量和产奶量减少,从而降低仔猪断奶体重。这也会导致身体储备的调动增加,这可能会影响断奶后的繁殖。本研究的目的是在对文献数据进行定量分析的基础上,量化环境温度对泌乳母猪生产性能和生理的影响,并将这些知识整合到母猪营养决策支持工具中。为了根据采食量、产仔和仔猪生长率、产奶量、母亲身体储备动员率、呼吸速率(RR)和核心体温等不同标准,采用具有出版物随机效应的混合线性或二次模型,建立了包含38篇出版物和227项观察结果的文献数据库,并根据温度调整预测方程。对温度响应最高的第一个判据是RR,在22°C和32°C之间增加了175%。第二个最受影响的指标是采食量,在22°C至32°C期间减少了36%,第三个指标是产奶量,在22°C至32°C期间减少了20%。为了预测气候变化背景下温度对采食量、产奶量、能量和氨基酸利用以及身体储备动员的影响,将meta分析所得方程纳入基于InraPorc®的营养模型中。使用该模型进行的模拟清楚地表明,母猪每公斤饲料的营养需要量受到季节或预期气候变化引起的环境温度变化的影响。在实践中,将这些新方程整合到营养模型中,将使饲料成分更好地适应季节和农场的地理位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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