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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 52 issue 1 (january 2018) : 13-19,   Doi: 10.18805/ijar.B-3359

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
 

R
Rajalaxmi Behera
A
A.K. Chakravarty
A
A. Sahu
N
N. Kashyap
S
S. Rai
A
A. Mandal
1ICAR-National Dairy Research Institute, Karnal-132001, Haryana
Cite article:- Behera Rajalaxmi, Chakravarty A.K., Sahu A., Kashyap N., Rai S., Mandal A. (2017). 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. Indian Journal of Animal Research. 52(1): 13-19. doi: 10.18805/ijar.B-3359.

ABSTRACT

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 (Tdb), wet bulb temperature (Twb) 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 × Tdb + 0.2 × Tdp) × 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.

REFERENCES

  1. Armstrong, D. V. (1994) Heat stress interaction with shade and cooling.J. Dairy Sci. 77: 2044-2050.
  2. Basic Animal Husbandry Statistics(BAHS) (2015) DAHD & F, Ministry of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India: 35
  3. Berman, A.,FolmanY., Kaim, M., Mamen, M., Herz, Z., WolfensonD., Arieli, A.,Graber, Y. (1985) Upper critical temperatures and forced ventilation effects for high yielding dairy cows in a subtropical climate. J Dairy Sci68: 1488-1495 
  4. Bianca, W. (1962) Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle.Nature, 195: 251–252.
  5. Bohmanova, J., 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):1947-1956.
  6. Chitra, A. (2015) Genetic evaluation of milk and milk constituents in Murrahbuffaloes.M.V.Sc.Thesis, National Dairy Research Institute (Deemed University), Karnal, Haryana, India.
  7. Dash, S. (2013). Genetic Evaluation of Fertility Traits in Relation to Heat Stress in Murrah Buffaloes.M.V.Sc.Thesis, NDRI (Deemed University), Karnal, Haryana, India.
  8. Harvey, W. R. (1990). Guide for LSMLMW, PC -1 Version, mixed model least squares and maximum likelihood computer programme, Mimeograph Ohio State University, USA. 
  9. Kramer, C. Y. (1957) Extension of multiple range tests to group correlated adjusted means. Biometrics, 13: 13-18
  10. Kumar, M., Vohra, V., Ratwan, P., Valsalan, J., Patil, C. S. and Chakravarty, A. K. (2016) Estimates of genetic parameters for fat yield in Murrah buffaloes. Veterinary World,9 (3): 295-298.
  11. LCI. (1970) Patterns of transit losses. Omaha, Neb.: Livestock Conservation, Inc.
  12. Marai, I.F.M. and Haeeb A.A.M. (2010) Buffalo biological functions as affected by heat stress - a review. Livest Sci. 127: 89-109.
  13. Mader T.L., Davis MS, Brown-BrandlT(2006) Environmental factors influencing heat stress in feedlot cattle. J Anim Sci. 84: 712-719.
  14. National Research Council (1971) A guide to environmental research on animals. National Research Council. Natl. Acad. Sci., Washington, DC.
  15. Pawar H. N, Kumar, R. and Narang, R. (2012) Effect of Year, Season and Parity on Milk Production Traits in Murrah Buffaloes. Journal of Buffalo Science1:122-125.
  16. Pawar H. N, Kumar, R. and Narang, R. (2013).Effect of Heat Stress on Milk Production and Composition in MurrahBuffaloes.Journal of Buffalo Science2(2):98-102.
  17. Roenfeldt S. (1998)You can’t afford to ignore heat stress. Dairy Manage35: 6-12 
  18. Thom EC (1959)The discomfort index. Weatherwise12:57-60.
  19. Singh, A., Basu, S.B. and Bhatia, K.L. (1979) Milk fat and SNF percentage of Murrahbuffaloes.Indian J. Dairy Sci., 32 (4): 446-449.
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Indian Journal of Animal Research
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    Research Article

    volume 52 issue 1 (january 2018) : 13-19,   Doi: 10.18805/ijar.B-3359

    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
     

    R
    Rajalaxmi Behera
    A
    A.K. Chakravarty
    A
    A. Sahu
    N
    N. Kashyap
    S
    S. Rai
    A
    A. Mandal
    1ICAR-National Dairy Research Institute, Karnal-132001, Haryana
    Cite article:- Behera Rajalaxmi, Chakravarty A.K., Sahu A., Kashyap N., Rai S., Mandal A. (2017). 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. Indian Journal of Animal Research. 52(1): 13-19. doi: 10.18805/ijar.B-3359.

    ABSTRACT

    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 (Tdb), wet bulb temperature (Twb) 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 × Tdb + 0.2 × Tdp) × 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.

    REFERENCES

    1. Armstrong, D. V. (1994) Heat stress interaction with shade and cooling.J. Dairy Sci. 77: 2044-2050.
    2. Basic Animal Husbandry Statistics(BAHS) (2015) DAHD & F, Ministry of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India: 35
    3. Berman, A.,FolmanY., Kaim, M., Mamen, M., Herz, Z., WolfensonD., Arieli, A.,Graber, Y. (1985) Upper critical temperatures and forced ventilation effects for high yielding dairy cows in a subtropical climate. J Dairy Sci68: 1488-1495 
    4. Bianca, W. (1962) Relative importance of dry- and wet-bulb temperatures in causing heat stress in cattle.Nature, 195: 251–252.
    5. Bohmanova, J., 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):1947-1956.
    6. Chitra, A. (2015) Genetic evaluation of milk and milk constituents in Murrahbuffaloes.M.V.Sc.Thesis, National Dairy Research Institute (Deemed University), Karnal, Haryana, India.
    7. Dash, S. (2013). Genetic Evaluation of Fertility Traits in Relation to Heat Stress in Murrah Buffaloes.M.V.Sc.Thesis, NDRI (Deemed University), Karnal, Haryana, India.
    8. Harvey, W. R. (1990). Guide for LSMLMW, PC -1 Version, mixed model least squares and maximum likelihood computer programme, Mimeograph Ohio State University, USA. 
    9. Kramer, C. Y. (1957) Extension of multiple range tests to group correlated adjusted means. Biometrics, 13: 13-18
    10. Kumar, M., Vohra, V., Ratwan, P., Valsalan, J., Patil, C. S. and Chakravarty, A. K. (2016) Estimates of genetic parameters for fat yield in Murrah buffaloes. Veterinary World,9 (3): 295-298.
    11. LCI. (1970) Patterns of transit losses. Omaha, Neb.: Livestock Conservation, Inc.
    12. Marai, I.F.M. and Haeeb A.A.M. (2010) Buffalo biological functions as affected by heat stress - a review. Livest Sci. 127: 89-109.
    13. Mader T.L., Davis MS, Brown-BrandlT(2006) Environmental factors influencing heat stress in feedlot cattle. J Anim Sci. 84: 712-719.
    14. National Research Council (1971) A guide to environmental research on animals. National Research Council. Natl. Acad. Sci., Washington, DC.
    15. Pawar H. N, Kumar, R. and Narang, R. (2012) Effect of Year, Season and Parity on Milk Production Traits in Murrah Buffaloes. Journal of Buffalo Science1:122-125.
    16. Pawar H. N, Kumar, R. and Narang, R. (2013).Effect of Heat Stress on Milk Production and Composition in MurrahBuffaloes.Journal of Buffalo Science2(2):98-102.
    17. Roenfeldt S. (1998)You can’t afford to ignore heat stress. Dairy Manage35: 6-12 
    18. Thom EC (1959)The discomfort index. Weatherwise12:57-60.
    19. Singh, A., Basu, S.B. and Bhatia, K.L. (1979) Milk fat and SNF percentage of Murrahbuffaloes.Indian J. Dairy Sci., 32 (4): 446-449.
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