Identification of most suitable temperature humidity index model for daily milk yield of Murrah buffaloes in subtropical climatic condition of India


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Authors

  • RAJALAXMI BEHERA Scientist, ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
  • A K CHAKRAVARTY Head and Principal Scientist, Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
  • N KASHYAP Assistant Professor, Department of Animal Genetics and Breeding, GADVASU, Ludhiana
  • BHARTI BHARTI Assistant Professor, GADAVASU, Ludhiana, Punjab
  • S RAI Scientist, ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
  • A MANDAL Principal Scientist, ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
  • AVTAR SINGH Retired Principal Scientist, ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
  • A K GUPTA Principal Scientist, ICAR-National Dairy Research Institute, Karnal, Haryana

https://doi.org/10.56093/ijans.v88i7.81477

Keywords:

Daily milk yield, Heat stress, Murrah, Subtropical climate, Temperature humidity index

Abstract

The present study was carried out to identify the most suitable temperature humidity index (THI model) among seven reported THI models as heat stress indicator on daily milk yield (DMY) of Murrah buffaloes at subtropical climatic conditions of Karnal, India. A total of 302,101 daily milk yield records from 1,434 lactational milk yield records and pedigree records of 748 buffaloes belonging to five parities spanned over a period of about 20 years (March 1994-December 2013) were obtained from ICAR-NDRI, Karnal and weather information on dry bulb temperature (Tdb), wet bulb temperature (Twb) and relative humidity (RH in %) for the corresponding period were collected from ICAR-CSSRI, Karnal. The overall least-squares mean for daily milk yield was 7.55±0.002 kg. Average daily THI was computed using each of the seven models under study. Regression analysis was performed to determine the most suitable THI model for assessing the effect of heat stress on DMY and a negative association was found between DMY (kg) and THI. THI model 5 developed by NRC (1971) was identified as the most suitable THI model to study the impact of thermal stress on DMY of Murrah expressing maximum decrease in DMY (-0.029 kg) per unit rise in THI.

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References

Armstrong D V. 1994. Heat stress interaction with shade and cooling. Journal of Dairy Science 77: 2044–50. DOI: https://doi.org/10.3168/jds.S0022-0302(94)77149-6

Basic Animal Husbandry Statistics. 2015. Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture and Farmers Welfare, Government of India.

Bianca W. 1962. Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle. Nature 195: 251– 52. DOI: https://doi.org/10.1038/195251a0

Bohmanova J, Misztal I, Tsuruta S, Norman H D and Lawlor T J. 2005. National genetic evaluation of milk yield for heat tolerance of United States Holsteins. Interbull Bulletein 33:160–62.

BohmanovaJ, Misztal I and Cole J B. 2007. Temperature humidity indices as indicators of milk production losses due to heat stress. Journal of Dairy Science 90(4):1947–56. DOI: https://doi.org/10.3168/jds.2006-513

Bouraoui R, Lahmar M, Majdoub A, Djemali M and Belyea R. 2002. The relationship of temperature-humidity index with milk production of dairy cows in a Mediterranean climate. Animal Research 51: 479–91. DOI: https://doi.org/10.1051/animres:2002036

Harvey W R. 1990. Guide for LSMLMW, PC-1 Version, mixed model least squares and maximum likelihood computer programme. Mimeograph Ohio State University, USA.

IPCC (Intergovernmental Panel on Climate Change). 2007. Climate Change Synthesis Report; Summary for Policymakers. Retrieved from: http://www.ipcc. ch/pdf/assessment-report/ ar4/syr/ar4_syr_spm .pdf.

Jamuna V, Chakravarty A K and Patil C S. 2015. Influence of non-genetic factors on performance traits in Murrah buffaloes. Indian Journal of Animal Research 49(3): 279–83. DOI: https://doi.org/10.5958/0976-0555.2015.00089.8

Khosla S K, Gill S S and Malhotra P K. 1984. Effect of some non-genetic factor on age at first calving and service period in herd book registered Murrah buffaloes under village conditions. Indian Journal of Animal Sciences 54: 1–5.

Kramer C Y. 1957. Extension of multiple range tests to group correlated adjusted means. Biometrics 13: 13–18. DOI: https://doi.org/10.2307/3001898

Lathwal S S. 2000. Optimum levels of economic traits for maximizing the profit function in Murrah buffaloes. Ph.D. Thesis, NDRI (Deemed University), Karnal, Haryana, India.

Mader T L, Davis M S and Brown-Brandl T. 2006. Environmental factors influencing heat stress in feedlot cattle. Journal of Animal Sciences 84: 712–19. DOI: https://doi.org/10.2527/2006.843712x

Marai I F M and Haeeb A A M. 2010. Buffalo biological functions as affected by heat stress - a review. Livestock Science 127: 89–109. DOI: https://doi.org/10.1016/j.livsci.2009.08.001

National Research Council. 1971. A guide to environmental research on animals. National Research Council. National Academy of Science, Washington, DC.

Roenfeldt S.1998. You can’t afford to ignore heat stress. Dairy Manage 35: 6–12.

Thom E C. 1959. The discomfort index. Weatherwise 12: 57–60. DOI: https://doi.org/10.1080/00431672.1959.9926960

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Submitted

2018-07-16

Published

2018-07-17

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Articles

How to Cite

BEHERA, R., CHAKRAVARTY, A. K., KASHYAP, N., BHARTI, B., RAI, S., MANDAL, A., SINGH, A., & GUPTA, A. K. (2018). Identification of most suitable temperature humidity index model for daily milk yield of Murrah buffaloes in subtropical climatic condition of India. The Indian Journal of Animal Sciences, 88(7), 834-837. https://doi.org/10.56093/ijans.v88i7.81477
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