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Influence of Temperature and Humidity on Pregnancy Rate of Murrah Buffaloes under Subtropical Climate

  • Dash, Soumya ;
  • Chakravarty, A.K. ;
  • Sah, V. ;
  • Jamuna, V. ;
  • Behera, R. ;
  • Kashyap, N. ;
  • Deshmukh, B.
  • Received : 2014.10.22
  • Accepted : 2015.01.26
  • Published : 2015.07.01

Abstract

Heat stress has adverse effects on fertility of dairy animals. Decline in fertility is linearly associated with an increase in combination of both temperature and humidity. The purpose of this study was to investigate the relationship between temperature humidity index (THI) and the pregnancy rate of Murrah buffaloes in a subtropical climate. The effects of genetic and non-genetic factors viz., sire, parity, period of calving and age group at first calving were found non-significant on pregnancy rate. The effect of THI was found significant (p<0.001) on pregnancy rate of Murrah buffaloes calved for first time and overall pregnancy rate. The threshold THI affecting the pregnancy rate was identified as THI 75. The months from October to March showed THI<75 and considered as non heat stress zone (NHSZ), while months from April to September were determined as heat stress zone (HSZ) with $THI{\geq}75$. The lowest overall pregnancy rate (0.25) was obtained in July with THI 80.9, while the highest overall pregnancy rate (0.59) was found in November with THI 66.1. May and June were identified as critical heat stress zone (CHSZ) within the HSZ with maximum decline (-7%) in pregnancy rate with per unit increase in THI. The highest overall pregnancy rate was estimated as 0.45 in NHSZ with THI value 56.7 to 73.2. The pregnancy rate was found to have declined to 0.28 in HSZ with THI 73.5 to 83.7. However, the lowest pregnancy rate was estimated as 0.27 in CHSZ with THI value 80.3 to 81.6.

Keywords

Pregnancy Rate;Threshold Temperature Humidity Index;Non Heat Stress Zone;Heat Stress Zone;Critical Heat Stress Zone;Murrah Buffaloes

References

  1. Abayawansa, W. D., S. Prabhakar, A. K. Singh, and P. S. Brar. 2011. Effect of climatic changes on reproductive performance of Murrah buffaloes in Punjab: A retrospective analysis. Indian J. Anim. Sci. 81:334-339.
  2. Amundson, J. L., T. L. Mader, R. J. Rasby, and Q. S. Hu. 2006. Environmental effects on pregnancy rate in beef cattle. J. Anim. Sci. 84:3415-3420. https://doi.org/10.2527/jas.2005-611
  3. Armstrong, D. V. 1994. Heat stress interaction with shade and cooling. J. Dairy Sci. 77:2044-2050. https://doi.org/10.3168/jds.S0022-0302(94)77149-6
  4. Bahga, C. S. and P. C. Gangwar. 1988. Seasonal variations in plasma hormones and reproductive efficiency in early postpartum buffalo. Theriogenology 30:1209-1223. https://doi.org/10.1016/0093-691X(88)90297-X
  5. Bianca, W. 1962. Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle. Nature 195:251-252. https://doi.org/10.1038/195251a0
  6. Buffington, D., A. Collazo-Arochu, G. H. Canton, D. Pritt, W. W. Thatcher, and R. J. Collier. 1981. Black globe-humidity index (BGHI) as comfort equation for dairy cows. Trans. Am. Soc. Agric. Eng. 24:711-714. https://doi.org/10.13031/2013.34325
  7. Burrow, H. M. 2012. Importance of adaptation and genotype$\times$ environment interactions in tropical beef breeding systems. Animal 6:729-740. https://doi.org/10.1017/S175173111200002X
  8. Garcia-Ispierto, I., F. Lopez-Gatius, G. Bech-Sabat, P. Santolaria, J. L. Yaniz, C. Nogareda, F. De Rensis, and M. Lopez-Bejar. 2007. Climate factors affecting conception rate of high producing dairy cows in northeastern Spain. Theriogenology 67:1379-1385. https://doi.org/10.1016/j.theriogenology.2007.02.009
  9. Harvey, W. R. 1990. User's Guide for LSMLMW. PC-2 Version, mixed model least squares and maximum likelihood computer programme, Mimeograph. Ohio State University Press, Columbus, OH, USA.
  10. Nabenishi, H., H. Ohta, T. Nishimoto, T. Morita, K. Ashizawa, and Y. Tsuzuki. 2011. Effect of the temperature-humidity Index on body temperature and conception rate of lactating dairy cows in southwestern Japan. J. Reprod. Dev. 57:450-456. https://doi.org/10.1262/jrd.10-135T
  11. Jensen, M. E., R. D. Burman, and R. G. Allen. 1990. Evapotranspiration and irrigation water requirements. ASCEManuals and Reports on Engineering Practice No. 70. American Society of Civil Engineers, New York, NY, USA.
  12. Kaur, H. and S. P. Arora. 1984. Annual pattern of plasma progesterone in normal cycling buffaloes (Bubalus bubalis) fed two different levels of nutrition. Anim. Reprod. Sci. 7:323-332. https://doi.org/10.1016/0378-4320(84)90017-4
  13. Madan, M. L. and B. S. Prakash. 2007. Reproductive endocrinology and biotechnology applications among buffaloes. Soc. Reprod. Fertil. Suppl. 64:261-281.
  14. Mader, T. L., M. S. Davis, and T. Brown-Brandl. 2006. Environmental factors influencing heat stress in feedlot cattle. J. Anim. Sci. 84:712-719. https://doi.org/10.2527/2006.843712x
  15. Marai, I. F. M., and A. A. M. Haeeb. 2010. Buffalo's biological functions as affected by heat stress - A review. Livest. Sci. 127:89-109. https://doi.org/10.1016/j.livsci.2009.08.001
  16. Marai, I. F. M., A. A. El-Darawany, A. Fadiel, and M. A. M. Abdel-Hafez. 2008. Reproductive performance traits as affected by heat stress and its alleviation in sheep - A review. Trop. Subtrop. Agroecosyst. 8:209-234.
  17. McGowan, M. R., D. G. Mayer, W. Tranter, M. Shaw, C. Smith, and T. M. Davison. 1996. Relationship between temperature humidity index and conception efficiency of dairy cattle in Queensland. Proc. Aust. Soc. Anim. Prod. 21:454.
  18. Mellado, M., P. Romero, J. E. Garcia, F. G. Veliz, and J. R. Arevalo. 2010. The effects of ambient temperature and humidity on pregnancy rate in Beefmaster cows in a subtropical environment of Mexico. Livest. Sci. 131:149-154. https://doi.org/10.1016/j.livsci.2010.03.009
  19. Morton, J. M., W. P. Tranter, D. G. Mayer, and N. N. Jonsson. 2007. Effects of environmental heat on conception rates in lactating dairy cows: Critical periods of exposure. J. Dairy Sci. 90:2271-2278. https://doi.org/10.3168/jds.2006-574
  20. Oseni, S., I. Misztal, and S. Tsuruta. 2005. Genetic parameters for pregnancy rate in Holstein cattle under seasonal heat stress. Nigerian J. Genet. 19:43-57.
  21. Palta, P., S. Mondal, B. S. Prakash, and M. L. Madan. 1997. Peripheral inhibin levels in relation to climatic variations and stage of estrous cycle in Buffalo (Bubalus bubalis). Theriogenology 47:989-995. https://doi.org/10.1016/S0093-691X(97)00055-1
  22. Parmar, A. P. and V. M. Mehta. 1994. Seasonal endocrine changes in steroid hormones of developing ovarian follicles in Surti buffaloes. Indian J. Anim. Sci. 64:111-113.
  23. Patil, C. S., A. K. Chakravarty, A. Singh, V. Kumar, V. Jamuna, and V. Vohra. 2014. Development of a predictive model for daughter pregnancy rate and standardization of voluntary waiting period in Murrah buffalo. Trop. Anim. Health Prod. 46:279-284 https://doi.org/10.1007/s11250-013-0486-0
  24. Ravagnolo, O. and I. Misztal. 2002. Effect of heat stress on nonreturn rate in Holsteins: fixed-model analyses. J. Dairy Sci. 85:3101-3106. https://doi.org/10.3168/jds.S0022-0302(02)74397-X
  25. Roenfeldt, S. 1998. You can't afford to ignore heat stress. Dairy Manage. 35:6-12.
  26. SAS Institute 1996. Statistics, Version 9.2. SAS Institute. Inc. Cary, NC, USA.
  27. Singh, R. and A. S. Nanda. 1993. Environmental variables governing seasonality in buffalo breeding. J. Anim. Sci. 71(Suppl.):119. https://doi.org/10.2527/1993.711119x
  28. Thom, E. C. 1959. The discomfort index. Weatherwise 12:57-61. https://doi.org/10.1080/00431672.1959.9926960
  29. Van Raden, P. M., A. H. Sandres, M. E. Tooker, R. H. Miller, H. D. Norman, M. T. Kuhn, and G. R. Wiggan. 2004. Development of a National genetic evaluation for cow fertility. J. Dairy Sci. 87:2285-2292. https://doi.org/10.3168/jds.S0022-0302(04)70049-1
  30. Yousef, M. K. 1985. Stress physiology in livestock. CRC Press, Boca Raton, FL, USA.

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