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volume 48 issue 6 (december 2014) : 537-540,   Doi: 10.5958/0976-0555.2014.00027.2

STUDIES ON GENETIC AND NON-GENETIC FACTORS AFFECTING PERFORMANCE TRAITS OF FRIESWAL COWS

S
Simran Singh
A
A.K. Das*
D
D. Chakraborty
R
R.K.Taggar
N
N. Kumar
P
Parul Gupta
V
Vikas Mahajan
1FVSc & AH, Sher-e-Kashmir University of Agricultural Science and Technology R.S. Pura, Jammu- 181 102, India
Cite article:- Singh Simran, Das* A.K., Chakraborty D., R.K.Taggar, Kumar N., Gupta Parul, Mahajan Vikas (2025). STUDIES ON GENETIC AND NON-GENETIC FACTORS AFFECTING PERFORMANCE TRAITS OF FRIESWAL COWS. Indian Journal of Animal Research. 48(6): 537-540. doi: 10.5958/0976-0555.2014.00027.2.

ABSTRACT

A total of 601 lactation records of 205 Frieswal cows (Holstein Friesian and Sahiwal crossbred) from 1st to 4th parity over a period of 9 years from 1998 to 2006 maintained at Military farm, Jammu Cantonment (J&K, India) were used to estimate performance of reproduction and production traits and to study the effect of genetic and non genetic factors on performance traits. The overall averages for age at first service (AFS), age at first calving (AFC), gestation length (GL), dry period (DP), calving interval (CI), lactation length (LL), total lactation milk yield (TLMY) and milk yield per day of lactation length (MYDL) were estimated as 20.53 ± 0.44 months, 29.72 ± 0.45 months, 278.43 ± 1.54 days, 116.85 ± 4.40 days, 423.46 ± 6.15 days, 305.05 ± 4.51 days, 3087.00 ± 62.60 kg and 10.10 ± 0.16 kg, respectively. The effect of genetic group of sire was significant on age at first service, age at first calving, calving interval, lactation length, total lactation milk yield and milk yield per day of lactation length whereas effect of period was significant on all reproduction and production traits except for gestation length and lactation length. The effect of parity was significant only on dry period and milk yield per day of lactation length whereas effect of season was non-significant on all reproduction and production traits except for calving interval where it had significant effect.

REFERENCES

  1. Cunningham, E.P. and Syrstad, O. (1987). FAO Animal Production and Health. Paper No. 68. pp 90. Food and Agricultural organization of the United Nation, Rome.
  2. Dubey, P. P. and Singh, C. V. (2005). Estimate of genetic and phenotypic parameters considering first lactation and lifetime performance traits in Sahiwal and crossbred cattle. Indian J. Anim. Res., 75: 1289-94.
  3. Harvey, W. R. (1990). User’s guide for LSMLMW PC-2 version mixed model- Least squares and Maximum Likelihood Computer Program Mincograph. Columbia, Ohio, USA.
  4. Kramer, C.Y. (1957). Extension of multiple range test to group-correlated adjusted means. Biometrics, 13: 13-18.
  5. Kumar, S., Singh, Y. P. and Kumar, D. (2008). Genetic studies on performance traits in Frieswal cattle. Indian J. Anim. Sci., 78 (1): 107-110.
  6. Snedecor, G.W. and Cochran, W.G. (1994). Statistical Methods. 8th Ed. Iowa State University Press, Ames, USA.
  7. Subha Lakshmi, B., Gupta, B. R., Prakash, M. G., Sudhakar, K. and Sharma, S. (2010). Genetic analysis of the production performance of Frieswal cattle. Tamilnadu J. Vet. Anim.Sci., 6 (5): 215-222.
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    volume 48 issue 6 (december 2014) : 537-540,   Doi: 10.5958/0976-0555.2014.00027.2

    STUDIES ON GENETIC AND NON-GENETIC FACTORS AFFECTING PERFORMANCE TRAITS OF FRIESWAL COWS

    S
    Simran Singh
    A
    A.K. Das*
    D
    D. Chakraborty
    R
    R.K.Taggar
    N
    N. Kumar
    P
    Parul Gupta
    V
    Vikas Mahajan
    1FVSc & AH, Sher-e-Kashmir University of Agricultural Science and Technology R.S. Pura, Jammu- 181 102, India
    Cite article:- Singh Simran, Das* A.K., Chakraborty D., R.K.Taggar, Kumar N., Gupta Parul, Mahajan Vikas (2025). STUDIES ON GENETIC AND NON-GENETIC FACTORS AFFECTING PERFORMANCE TRAITS OF FRIESWAL COWS. Indian Journal of Animal Research. 48(6): 537-540. doi: 10.5958/0976-0555.2014.00027.2.

    ABSTRACT

    A total of 601 lactation records of 205 Frieswal cows (Holstein Friesian and Sahiwal crossbred) from 1st to 4th parity over a period of 9 years from 1998 to 2006 maintained at Military farm, Jammu Cantonment (J&K, India) were used to estimate performance of reproduction and production traits and to study the effect of genetic and non genetic factors on performance traits. The overall averages for age at first service (AFS), age at first calving (AFC), gestation length (GL), dry period (DP), calving interval (CI), lactation length (LL), total lactation milk yield (TLMY) and milk yield per day of lactation length (MYDL) were estimated as 20.53 ± 0.44 months, 29.72 ± 0.45 months, 278.43 ± 1.54 days, 116.85 ± 4.40 days, 423.46 ± 6.15 days, 305.05 ± 4.51 days, 3087.00 ± 62.60 kg and 10.10 ± 0.16 kg, respectively. The effect of genetic group of sire was significant on age at first service, age at first calving, calving interval, lactation length, total lactation milk yield and milk yield per day of lactation length whereas effect of period was significant on all reproduction and production traits except for gestation length and lactation length. The effect of parity was significant only on dry period and milk yield per day of lactation length whereas effect of season was non-significant on all reproduction and production traits except for calving interval where it had significant effect.

    REFERENCES

    1. Cunningham, E.P. and Syrstad, O. (1987). FAO Animal Production and Health. Paper No. 68. pp 90. Food and Agricultural organization of the United Nation, Rome.
    2. Dubey, P. P. and Singh, C. V. (2005). Estimate of genetic and phenotypic parameters considering first lactation and lifetime performance traits in Sahiwal and crossbred cattle. Indian J. Anim. Res., 75: 1289-94.
    3. Harvey, W. R. (1990). User’s guide for LSMLMW PC-2 version mixed model- Least squares and Maximum Likelihood Computer Program Mincograph. Columbia, Ohio, USA.
    4. Kramer, C.Y. (1957). Extension of multiple range test to group-correlated adjusted means. Biometrics, 13: 13-18.
    5. Kumar, S., Singh, Y. P. and Kumar, D. (2008). Genetic studies on performance traits in Frieswal cattle. Indian J. Anim. Sci., 78 (1): 107-110.
    6. Snedecor, G.W. and Cochran, W.G. (1994). Statistical Methods. 8th Ed. Iowa State University Press, Ames, USA.
    7. Subha Lakshmi, B., Gupta, B. R., Prakash, M. G., Sudhakar, K. and Sharma, S. (2010). Genetic analysis of the production performance of Frieswal cattle. Tamilnadu J. Vet. Anim.Sci., 6 (5): 215-222.
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