Ekine-Dzivenu C C, Mrode R, Oyieng E, Komwihangilo D, Lyatuu E, Msuta G, Ojango J M K, Okeyo A M
Animal Biosciences, International Livestock Research Institute, Nairobi, Kenya.
Animal and Veterinary Science, Scotland Rural College, Edinburgh, United Kingdom.
Livest Sci. 2020 Dec;242:104314. doi: 10.1016/j.livsci.2020.104314.
This study evaluates the effect of heat stress on milk production and describes the pattern of response of milk yield to increasing heat load, using temperature-humidity index (THI) on test-day milk records of small holder dairy cattle herds in the sub-Saharan African climate of Tanzania. Climate data obtained from aWhere, an agricultural weather data platform (http://www.awhere.com) was analysed with 14,367 first lactation test day milk records of 3511 dairy cows collected between 2016 and 2019. THI was calculated from daily maximal temperatures and daily minimum humidity. Three sets of analysis were performed. In the first and second analysis, two mixed effect repeatability models were fitted with THI treated as a categorical variable grouped into 5 classes (THI1= [61 - 66], THI2= [67 - 71], THI3= [72 - 78], THI4=[79 - 81], THI5=[82 - 86]), to obtain least squares estimates of THI effect on milk production, and as a continuous variable within THI classes to identify THI thresholds at which milk yield started to decline. In the third analyses, one quadratic polynomial regression (POL) and three regression spline functions namely piecewise linear spline function (PLF), natural splines function (NSF) and cubic splines function (CSF) were fitted to determine the average effect of THI on milk yield in the population and describe the pattern of response of milk yield to increasing head load. The results show that heat stress reduced milk yield by 4.16% to 14.42% across THI groups, with daily milk yield being the highest in THI1 (7.40±0.39 litres) and the lowest in THI4 (6.33±0.32). Regression coefficients within groups showed significant daily milk yield decrease in THI2 (-0.09) and THI3 (-0.06), but not for other THI classes, indicating that cows experienced heat stress between THI values of 67 and 76 and milk loss plateaued afterwards, suggesting that the animals acclimatized to heat stress conditions beyond THI value of 76. At the population level, THI and its squared term were significantly negatively and positively (-0.61, 0.004) associated with milk production, indicating a non-linear relationship between milk yield and THI. The CSF model showed better goodness of fit and predictive ability than other models for predicting future population response of milk yield to heat stress in small holder dairy farms in Tanzania. Herd management strategies and animal husbandry measures are needed in small holder dairy farms in Tanzania to minimize the impact of heat stress on milk yield and income of the farmers.
本研究评估了热应激对牛奶产量的影响,并描述了牛奶产量对不断增加的热负荷的响应模式,使用坦桑尼亚撒哈拉以南非洲气候下小农户奶牛群测试日牛奶记录中的温度湿度指数(THI)。从农业气象数据平台aWhere(http://www.awhere.com)获取的气候数据与2016年至2019年期间收集的3511头奶牛的14367条头胎测试日牛奶记录进行了分析。THI根据每日最高温度和每日最低湿度计算得出。进行了三组分析。在第一次和第二次分析中,拟合了两个混合效应重复性模型,将THI作为分类变量分为5类(THI1 = [61 - 66],THI2 = [67 - 71],THI3 = [72 - 78],THI4 = [79 - 81],THI5 = [82 - 86]),以获得THI对牛奶产量影响的最小二乘估计,并作为THI类别内的连续变量来确定牛奶产量开始下降的THI阈值。在第三次分析中,拟合了一个二次多项式回归(POL)和三个回归样条函数,即分段线性样条函数(PLF)、自然样条函数(NSF)和三次样条函数(CSF),以确定THI对总体牛奶产量的平均影响,并描述牛奶产量对不断增加的热负荷的响应模式。结果表明,热应激使各THI组的牛奶产量降低了4.16%至14.42%,THI1组的日产奶量最高(7.40±0.39升),THI4组最低(6.33±0.32)。组内回归系数显示,THI2(-0.09)和THI3(-0.06)组的日产奶量显著下降,但其他THI类别未出现这种情况,这表明奶牛在THI值为67至76之间经历了热应激,之后牛奶损失趋于平稳,这表明动物在THI值超过76后适应了热应激条件。在总体水平上,THI及其平方项与牛奶产量显著负相关和正相关(-0.61,0.004),表明牛奶产量与THI之间存在非线性关系。CSF模型在预测坦桑尼亚小农户奶牛场牛奶产量对热应激的未来总体响应方面,比其他模型具有更好的拟合优度和预测能力。坦桑尼亚的小农户奶牛场需要采取畜群管理策略和畜牧措施,以尽量减少热应激对牛奶产量和农民收入的影响。