Relationship among body condition, subcutaneous fat and production performance of Jersey crossbred cows

ABHISHEK PAUL; CHAMPAK BHAKAT; DK MANDAL; A MANDAL; A MOHAMMAD; A CHATTERJEE; T K DUTTA

doi:10.56093/ijans.v89i5.90032

Authors

ABHISHEK PAUL PhD Scholar, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
CHAMPAK BHAKAT Principal Scientist, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
DK MANDAL Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
A MANDAL Principal Scientist, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
A MOHAMMAD Scientist, Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
A CHATTERJEE Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India
T K DUTTA Principal Scientist, ICAR-National Dairy Research Institute, Kalyani, West Bengal 741 235 India

https://doi.org/10.56093/ijans.v89i5.90032

Keywords:

Body condition, Body weight, Jersey crossbred, Milk production, Ramp fat thickness

Abstract

To determine relationship between BCS, ramp fat thickness, body measurements and milk yield, a total of 44 Jersey crossbred cows were observed from calving to 120 days post-partum. The ultrasonography images were recorded from rump region during entire experimental period. Statistically analyzed data revealed that BCS, HG, THT were significantly (P<0.05) less in group 1 than group 2 and group 3. RFT/BFT differences were significant (P<0.05) among 3 groups. More RFT was found in high BCS group followed by medium and low BCS group. The BCS was having strong and significant (P<0.01) correlation with RFT and body weight of animals. The RFT was significantly (P<0.01) correlated with body weight, milk yield, HG, THT and AG. The higher BCS group, lost RFT, BCS and BW faster than other 2 groups to support milk production. It can be concluded that BCS at calving can be used as a reliable criterion in choosing Jersey crossbred cows for higher milk production at organized farm.

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References

Berry D P, Macdonald K A, Stafford K, Matthews L and Roche J R. 2007. Associations between body condition score, body weight and somatic cell count and clinical mastitis in seasonally calving dairy cattle. Journal of Dairy Science 90: 637–48. DOI: https://doi.org/10.3168/jds.S0022-0302(07)71546-1

Gallao L, Carnier P, Cassandro M, Dal Zotto R and Bittante G. 2001. Test day genetic analysis of condition score and heart girth in Holstein Friesian cows. Journal of Dairy Science 84: 2321–26. DOI: https://doi.org/10.3168/jds.S0022-0302(01)74680-2

Hussein H A, Westphal A and Staufenbiel R. 2013. Relationship between body condition score and ultrasound measurement of back fat thickess in multiparous Holstein dairy cows at different production phases. Australian Veterinary Journal 91: 185–89. DOI: https://doi.org/10.1111/avj.12033

Lake S L, Scholljegerdes E J, Hallford D M, Moss G E, Rule D C and Hess B W. 2006. Effects of body condition score at parturition and postpartum supplemental fat on metabolite and hormone concentrations of beef cows and their suckling calves. Journal of Animal Science 84: 1038–47. DOI: https://doi.org/10.2527/2006.8441038x

Prasad S and Tomar O S. 1994. ‘Studies on body condition scoring and feeding management in relation to production performance of crossbred dairy cattle’. PhD Thesis, NDRI (Deemed University), Karnal, Haryana, India.

Roche J R, Lee J M, Macdonald K A and Berry D P. 2007. Relationships between body condition score, body weight and milk production variables in pasture-based dairy cows. Journal of Dairy Science 90: 3802–15. DOI: https://doi.org/10.3168/jds.2006-740

Schroder U J and Staufenbiel R. 2006. Methods to determine body fat reserves in the dairy cow with special regard to ultrasonographic measurement of back fat thickness. Journal of Dairy Science 89: 1–14. DOI: https://doi.org/10.3168/jds.S0022-0302(06)72064-1

Snedecor G W and Cochran W G. 1994. Statistical Methods. (8th edn). Affiliated East-West Press and Iowa State University Press.

Talokar A J, Mandal A, Singh L A, Behera R, Karunakaran M, Ghoshm K and Bhakat C. 2018. Genetic analysis of non-return and conception rate of Jersey crossbred cattle. Indian Journal of Animal Sciences 88(4): 431–33.