用于模拟美国乳制品系统中寒冷和热应激的热指数的比较分析
E Choi1, V Carneiro de Souza2, J A Dillon3
1Department of Ecosystem Science and Sustainability & Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523.
Journal of dairy science
|April 12, 2024
概括
精确的热量指数,如THIadj和CCI,可以更好地预测由于寒冷和热应激而导致的牛奶产量损失. 乳制品系统显示了适应性管理变化,随着时间的推移减少了与天气有关的风险.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 动物科学动物科学
背景情况:
- 管理乳制品系统中的热应激对于牛奶生产至关重要.
- 现有的热量指数对于估计牛奶产量损失的准确性各不相同.
- 关于寒冷和热应激对牛奶产量的影响的大规模数据有限.
研究的目的:
- 为了比较分析四个热指数的表现,估计美国牛奶产量对寒冷和热应激的反应.
- 评估温度湿度指数 (THI),黑球湿度指数 (BGHI),调整温度湿度指数 (THIadj) 和综合气候指数 (CCI) 的准确性.
主要方法:
- 使用统计面板回归模型与观测和重新分析天气数据 (1981-2020).
- 在全国范围内比较THI,BGHI,THIadj和CCI的收益率灵敏度和统计表现.
- 分析的牛奶产量对一系列冷热压力的反应.
主要成果:
- THIadj和CCI在解释美国州级牛奶产量变化方面表现优异.
- 在所有指数中,观察到牛奶产量对热应激的连续,非线性反应.
- 极端寒冷影响了牛奶产量,与全国极端高温相比.
- 在过去的二十年中,人们注意到对热应激的产量敏感度下降,这表明适应性管理.
结论:
- 对于模拟热应力对牛奶产量的影响,THIadj和CCI更有效.
- 依靠固定指数值可能不足以捕捉累积热应力.
- 产量敏感性的空间变化需要特定位置的管理策略.
- 乳业管理已经适应减轻与天气有关的风险,随着时间的推移降低产量敏感性.
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