旁遮普中部牲畜舒适指数的计算

Aatralarasi S, Dhaliwal Lk, Kingra Pk, Puneet Malhotra, Gourav Jain
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引用次数: 0

摘要

气候变化带来有害的热应力,破坏了牛和水牛的体温调节平衡。通过生物气候指数量化热应力是确定合适的缓解/适应战略的重要一步。因此,我们计算了牛的不同舒适度指数趋势(2000-2019 年),并将其用于估算产奶量,因为这些指数能够全面反映牛的热中性状态。通过盒图分析对季节性舒适指数(CI)进行的趋势分析表明,从冬季到夏季,黑球湿度指数(BGHI)从 "低影响 "转为 "高影响",温度湿度指数(THI)从 "正常 "转为 "危险",综合气候指数(CCI)从 "无压力 "转为 "轻度压力",表明热压力在夏季的影响。4 月份的牛奶产量与 BGHI、热负荷指数 (HLI)、呼吸速率 (RR)、THI、CCI 和等效温度指数 (ETI) 显著相关。5 月和 6 月的产奶量与 ETI 和 THI 有显著关系。泌乳期产奶量分析表明,第六泌乳期与 ETI 和 HLI 有关。第四和第二泌乳期与所有估计指数有显著关系,第一泌乳期与 BGHI、ETI 和 RR 有显著关系。相关系数最高的 CI 被用于建立相应月份和泌乳阶段的回归模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of comfort indices for livestock in central Punjab
Climate change imposes detrimental heat stress, which disrupts the thermo-regulatory balance of cattle and buffaloes. Quantifying heat stress through bioclimatic indices is a vital step for identifying suitable mitigation/adaptation strategies. So, the trend of different comfort indices for cattle was computed (2000-2019) and used for estimating milk production as these indices provide a holistic view of the bovine’s thermoneutral status. The trend analysis of seasonal comfort index (CI) through box plot analysis indicated that Black Globe Humidity Index (BGHI) had shifted from ‘Low Impact’ to ‘High Impact’, Temperature Humidity Index (THI) had shifted from ‘Normal’ to ‘Danger’ and Comprehensive Climate Index (CCI) had shifted from ‘No stress’ to ‘Mild stress’ from winter to summer season indicating the impact of heat stress during the latter period. The milk production in April had a significant correlation with BGHI, Heat Load Index (HLI), Respiration Rate (RR), THI, CCI, and Equivalent Temperature Index (ETI). Milk production in May and June had a significant relationship with ETI and THI. Lactation-wise milk production analysis indicated that sixth lactation is related to ETI and HLI. Fourth and second lactation had a significant relation with all indices estimated and the first stage of lactation with BGHI, ETI, and RR. The CI with the highest correlation coefficients were used to develop a regression model for a respective month and lactation stage.
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