首页> 外文期刊>Indian Journal of Animal Research >Identification of best temperature humidity index model for assessing impact of heat stress on milk constituent traits in Murrah buffaloes under subtropical climatic conditions of Northern India
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Identification of best temperature humidity index model for assessing impact of heat stress on milk constituent traits in Murrah buffaloes under subtropical climatic conditions of Northern India

机译:鉴定印度亚热带气候条件下穆拉河水牛牛奶成分特征评估热胁迫性湿度指标模型

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The present study was conducted to identify the most suitable temperature humidity index (THI) model among seven reported THI models for analyzing the impact of thermal stress on monthly test day fat % (MTDF%), monthly test day SNF% (MTSNF%), monthly test day fat yield (MTDFY) and monthly test day SNF yield (MTDSNFY) of Murrah buffaloes at subtropical climatic conditions of Karnal, India. A total of 8868 MTDF% and 8606 MTDSNF% records from 1107 lactational records of Murrah buffaloes under five parities were included in the present study and weather information on dry bulb temperature (T-db), wet bulb temperature (T-wb) and relative humidity (RH in %) for the corresponding period of 20 years (March 1994-December 2013) were collected from ICAR-NDRI and ICAR-CSSRI, Karnal, respectively. The overall least-squares means for MTDF% ranged from 7.71 +/- 0.067 in TD1 to 8.10 +/- 0.08 in TD 9 and MTDSNF% ranged from 9.61 +/- 0.01 in TD5 and TD 6 to 9.65 +/- 0.01 in TD 8. The overall least squares means of MTDFY (g) ranged from 411.23 +/- 14.74 to 745.98 +/- 13.57 while for MTDSNFY (g) the value ranged from 491.90 +/- 17.21 to 922.16 +/- 15.17. Monthly average THI was computed for each of the seven models. The lowest monthly average THI value was found in January, while either May, June or July showed the highest average THI value for all seven THI models. Regression analysis was performed for identifying the best THI to assess the impact of heat stress on milk constituent traits under study anda negative association was found between the milk constituent traits and monthly average THI values. The THI model[THI = (0.55 x T-db + 0.2 x T-dp) x 1.8 + 32 + 17.5] developed by NRC(1971) was identified as the most suitable THI model to assess the impact of heat stress on milk composition traits of Murrah indicating maximum decline in MTDF% (-0.005), MTDFY (-0.68 g), MTDSNF% (b=-0.0008) and MTDSNFY (-2.25 g) per unit rise in THI.
机译:进行本研究以鉴定七个报告的THI模型中最合适的温度湿度指数(THI)模型,用于分析热应力对每月测试日脂肪%(MTDF%)的影响,每月测试日SNF%(MTSNF%),每月试验日脂肪产量(MTDFY)和印度亚热带气候条件的Murrah Buffaloes的每月测试日SNF产量(MTDSNFY)。在五个间隔内的1107次闺房中,共有8868 MTDF%和8606 MTDSNF%的穆勒拉牛水牛的案件记录均包含在干泡温度(T-DB),湿灯泡温度(T-WB)和相对的天气信息中。 20岁20岁(2013年3月)的湿度(RH值为2013年3月)分别从Icar-NDRI和Icar-Cssri,Karnal收集。 MTDF%的总体最小二乘意味着在TD1至8.10 +/- 0.06中的7.71 +/- 0.067,MTDSNF%在TD5和TD 6至9.65 +/- 0.01中的9.61 +/- 0.01范围为9.61 +/- 0.01 8. MTDFY(g)的总体最小二乘装置范围为411.23 +/- 14.74至745.98 +/- 13.57,而MTDSNFY(g)则值范围从491.90 +/-17.21到922.16 +/- 15.17。每月平均THI为七种模型中的每一个计算。最低月平均值在1月份发现,而6月或7月则为所有七种模型的平均值最高。进行回归分析,用于鉴定评估热应激对研究下的牛奶成分性状的热应激的影响,并且在牛奶成分特征和月平均值之间发现了阴性关联。由NRC(1971)开发的THI模型[THI =(0.55×T-DB + 0.2×T-DP)x 1.8 + 32 + 17.5]被鉴定为最合适的THI模型,以评估热应激对牛奶组成的影响Murrah的特质表明MTDF%(-0.005)的最大下降,MTDFY(-0.68g),MTDSNF%(B = -0.0008)和MTDSNFY(B = -0.0008)和MTDSNFY(-2.25克)在THI上升。

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