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Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers

Md. Delowar Hossain, Md. Abdus Salam, Shabbir Ahmed, Mst. Umme Habiba, Shahrina Akhtar, Md. Mazharul Islam, S. A. Masudul Hoque, Abu Sadeque Md. Selim and Md. Morshedur Rahman ()
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Md. Delowar Hossain: Department of Animal Science and Nutrition, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Md. Abdus Salam: Agricultural Economics and Rural Sociology Division, Bangladesh Agricultural Research Council, Dhaka 1215, Bangladesh
Shabbir Ahmed: Department of Dairy and Poultry Science, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Mst. Umme Habiba: Department of Dairy and Poultry Science, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Shahrina Akhtar: Krishi Gobeshona Foundation, Dhaka 1215, Bangladesh
Md. Mazharul Islam: Department of Animal Breeding and Genetics, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
S. A. Masudul Hoque: Department of Animal Breeding and Genetics, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Abu Sadeque Md. Selim: Department of Animal Science and Nutrition, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
Md. Morshedur Rahman: Department of Dairy and Poultry Science, Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh

Sustainability, 2022, vol. 15, issue 1, 1-13

Abstract: Global warming has been increasing heat stress threat in animals, which can be monitored via the Temperature Humidity Index (THI). The present study describes the THI pattern and the relationship between THI and the production performances of dairy cows in a selected area of Bangladesh. The THI value was calculated using weather station data gathered over 35 years. Based on the THI pattern, January and June were identified as the coolest and hottest months, respectively. Consequently, the production performances of 10 crossbred cows with homogenous characteristics were monitored every January and June for a 5-year period. The average THI MEAN was found to be 17% higher in June when compared to January; with this increment of THI MEAN , average milk production was decreased by 24.4% ( p < 0.05). The milk fat and protein content were also reduced ( p < 0.05) by 14.5 and 15.2%, respectively, suggesting a negative correlation. However, ash content increased by 15.3%, which indicates a positive correlation. In addition, multiple regression analysis revealed that, with each point increase in THI MEAN and rectal temperature, there was a decrease in milk yield of 0.04 and 1.17 kg ECM, respectively. In contrary, each point increase in THI MEAN resulted in 0.059 °C increase of rectal temperature. Taken together, THI MEAN calculated using meteorological station data has a distinct relationship with the production performances of lactating crossbred dairy cows.

Keywords: temperature humidity index; milk production; milk composition; temporal and periodic variation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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