Development of standard lactation milk yield prediction models using monthly milk yield records in Marathwadi buffalo


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Authors

  • V B DONGRE Subject Matter Specialist (Animal Genetics & Breeding), Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India
  • L S KOKATE Assistant Director (MAFSU Sub-centre), Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India
  • V N KHANDAIT Subject Matter Specialist (Veterinary Extension Education), Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India
  • A G KARPE Associate Dean, Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India
  • V M SALUNKE Deputy Director Research, Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India
  • P V PATIL Farm Manager, Maharashtra Animal and Fishery Sciences University, Nagpur, Maharashtra 413 417 India

https://doi.org/10.56093/ijans.v88i2.79353

Keywords:

Lactation, Marathwadi, Milk yield prediction, Regression

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References

Chakraborty D. 2010. Prediction of lactation milk yield from test day records in Murrah buffaloes. Indian Journal of Animal Sciences 80(3): 244–45.

Kataria R S, Kathiravan P, Mishra B P, Sadana D K, Gujar B V, Vohra V and Joshi B K. 2012. Buffalo genetic resources of India: Marathwadi. Monograph No. 73.

Kokate L S, Avtar Singh, Rashia Banu, Gandhi R S, Chakravarty A K, Gupta A K and Sachdeva G K. 2014. Prediction of 305- day lactation milk yield based on bimonthly test day values in Karan fries cattle. Indian Journal of Animal Research 48(2): 103–05. DOI: https://doi.org/10.5958/j.0976-0555.48.2.023

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Submitted

2018-05-02

Published

2018-05-02

Issue

Section

Short-Communication

How to Cite

DONGRE, V. B., KOKATE, L. S., KHANDAIT, V. N., KARPE, A. G., SALUNKE, V. M., & PATIL, P. V. (2018). Development of standard lactation milk yield prediction models using monthly milk yield records in Marathwadi buffalo. The Indian Journal of Animal Sciences, 88(2), 242-244. https://doi.org/10.56093/ijans.v88i2.79353
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