Animal Breeding and Husbandry in the Tropics and Subtropics, University of Hohenheim, Garbenstrasse 17, 70599 Stuttgart, Germany; Livestock Genetics, International Livestock Research Institute, Box 30709-00100 Nairobi, Kenya.
Livestock Genetics, International Livestock Research Institute, Box 30709-00100 Nairobi, Kenya.
Animal. 2024 May;18(5):101139. doi: 10.1016/j.animal.2024.101139. Epub 2024 Mar 21.
Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals' ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored into the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P < 0.05). Slope at THI 80 had high (0.64-0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63-0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection.
气候变化引起的全球气温上升加剧了奶牛的热应激,导致普遍观察到的牛奶产量降低。为了确保未来能够获得乳制品,选择具有更高耐热能力的品种,同时保持最佳性能,这是至关重要的。然而,耐热性的表型指标尚未有效纳入大多数选择育种计划的目标中。本研究调查了肯尼亚三个农业生态区的多品种奶牛在不断变化的热负荷下的产奶量反应,以此作为耐热性的指标,并研究了产犊季节对这种反应的影响。分析了 1739 头奶牛的第一胎 7 天平均产奶量(65261 个奶记录)。基于可在线获取的常规记录天气数据,计算了温度-湿度指数(THI),并将其用作热负荷的衡量指标。使用的 THI 测量值代表与每个 7 天平均产奶记录相对应的相同 7 天期间的平均值。拟合了随机回归模型,包括反应规范函数,以得出两个弹性指标:反应规范的斜率(Slope)及其绝对值(Absolute),反映了产奶量对不同热负荷(THI 50 和 THI 80)的变化反应。估计了这些指标的遗传参数,并研究了它们与平均测试日产奶量的关系。在干季和湿季产犊的奶牛之间,产奶量对热负荷的反应模式没有实质性差异。具有≤50%的牛属基因的动物在极高的热负荷水平下具有最强的耐热性。在半干旱环境中表现的动物具有最高的耐热能力。这些指标的遗传力估计值在 0.06 到 0.33 之间,大多数与零(P<0.05)显著不同。THI 80 处的斜率与平均日产量呈显著负相关(0.64-0.71),表明高产品种的奶牛对热应激更为敏感,反之亦然。在 THI 80 处, Absolute 与平均产奶量呈显著正相关(0.63-0.74)。这意味着低产奶量的奶牛在热应激条件下的产奶量更稳定,反之亦然。该研究表明,反应规范的斜率及其绝对值可以有效地衡量杂交奶牛对不同热负荷条件的恢复能力。这些发现对于通过遗传选择提高家畜物种的耐热性具有重要意义。