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热应激对泌乳中期奶牛干物质采食量和剩余采食量的影响。

Impact of heat stress on dry matter intake and residual feed intake in mid-lactation dairy cows.

作者信息

Nascimento Bárbara M, Parker Gaddis Kristen L, Koltes James E, Tempelman Robert J, VandeHaar Michael J, White Heather M, Peñagaricano Francisco, Weigel Kent A

机构信息

Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.

Council on Dairy Cattle Breeding, Bowie, MD 48824.

出版信息

J Dairy Sci. 2025 Jul;108(7):7345-7353. doi: 10.3168/jds.2025-26574. Epub 2025 May 16.

Abstract

The rise in global temperature is affecting livestock production by limiting crop yields and exposing animals to more frequent heat-stress events. Heat-abatement technologies are widely used but increase production costs. Therefore, genetic selection for thermotolerance is an interesting tool to overcome the effects of heat stress. The goal of this study was to evaluate the effect of heat stress on both DMI and residual feed intake in lactating Holstein cows. Data consisted of 388,629 daily DMI and 54,353 weekly residual feed intake records from 6,333 cows collected on 6 research stations in Wisconsin, Michigan, and Iowa between 2007 and 2024. Heat stress was assessed using temperature-humidity index (THI), based on the measurements taken at weather stations. Average THI per day and per week were used to analyze DMI and residual feed intake, respectively. The effect of heat stress was also evaluated as the number of hours a cow was exposed to heat stress for DMI, and the number of days within a week a cow was exposed to heat stress for residual feed intake. Multitrait random regression models were used to estimate variance components for daily DMI and weekly residual feed intake, considering the first 3 lactations as different traits. The models included cohort (trial-treatment) and DIM effects as fixed, and general (intercept) and thermotolerance (slope) additive genetic and permanent environmental effects as random. Heritability estimates at the heat-stress level ranged from 0.16 to 0.33 for DMI and from 0.15 to 0.21 for residual feed intake. These results suggest substantial genetic variability underlying DMI and residual feed intake when cows are exposed to heat-stress conditions. Estimated genetic correlations between thermoneutral (intercept) and thermotolerant (slope) additive effects ranged from -0.06 to -0.36 for average THI and from 0.10 to -0.43 for hours exposed to heat stress. For residual feed intake, estimated genetic correlations between thermoneutral (intercept) and thermotolerant (slope) additive effects were negative and ranged from -0.17 to -0.48. The Pearson correlations among EBVs calculated in thermoneutral and thermal-stress conditions in different lactations were generally high. The Pearson correlation between the first and second lactations were higher than correlations between the first and third or second and third lactations. Note that most cows did not have records in multiple lactations, and the third group included animals in later lactations, which may have contributed to the lower correlations. In conclusion, DMI and residual feed intake are traits susceptible to heat stress. The negative genetic correlations observed between thermoneutral conditions and thermal-stress conditions suggest cows that consume more feed and are less efficient are more susceptible to heat stress.

摘要

全球气温上升正通过限制作物产量以及使动物更频繁地遭受热应激事件来影响畜牧生产。热缓解技术被广泛应用,但会增加生产成本。因此,耐热性的基因选择是克服热应激影响的一个有趣工具。本研究的目的是评估热应激对泌乳期荷斯坦奶牛的干物质采食量(DMI)和剩余采食量的影响。数据包括2007年至2024年期间在威斯康星州、密歇根州和爱荷华州的6个研究站收集的6333头奶牛的388,629条每日DMI记录和54,353条每周剩余采食量记录。基于气象站的测量数据,使用温度湿度指数(THI)评估热应激。分别用每天和每周的平均THI来分析DMI和剩余采食量。热应激的影响还根据奶牛在DMI方面遭受热应激的小时数以及在剩余采食量方面一周内遭受热应激的天数来评估。多性状随机回归模型用于估计每日DMI和每周剩余采食量的方差分量,将前3个泌乳期视为不同性状。模型将群体(试验处理)和泌乳天数(DIM)效应作为固定效应,将一般(截距)和耐热性(斜率)加性遗传效应及永久环境效应作为随机效应。在热应激水平下,DMI的遗传力估计值在0.16至0.33之间,剩余采食量的遗传力估计值在0.15至0.21之间。这些结果表明,当奶牛暴露于热应激条件下时,DMI和剩余采食量存在显著的遗传变异性。对于平均THI,热中性(截距)和耐热(斜率)加性效应之间的估计遗传相关性在-0.06至-0.36之间,对于遭受热应激的小时数,遗传相关性在0.10至-0.43之间。对于剩余采食量,热中性(截距)和耐热(斜率)加性效应之间的估计遗传相关性为负,在-0.17至-0.48之间。在不同泌乳期的热中性和热应激条件下计算的估计育种值(EBV)之间的皮尔逊相关性通常较高。第一泌乳期和第二泌乳期之间的皮尔逊相关性高于第一泌乳期和第三泌乳期或第二泌乳期和第三泌乳期之间的相关性。请注意,大多数奶牛没有多个泌乳期的记录,第三组包括处于后期泌乳期的动物,这可能导致了较低的相关性。总之,DMI和剩余采食量是易受热应激影响的性状。在热中性条件和热应激条件之间观察到的负遗传相关性表明,采食更多饲料且效率较低的奶牛更容易受热应激影响。

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