Assessing the Economic Losses to Buffalo Owners Due to Late Diagnosis of Pregnancy in Their Milch Buffaloes

Rekha Yadav *

Department of Animal Husbandry and Dairying, Haryana, India.

Hema Tripathi

Technology and Entrepreneurship Unit, ICAR-CIRB Hisar, India.

Parveen Kumar

Department of Veterinary Microbiology, LUVAS, Hisar, India.

Nukala Ramesh

Division of Extension Education, ICAR-IVRI, Izatnagar Bareilly, India.

*Author to whom correspondence should be addressed.


Abstract

Aim: The present study was conducted purposively to measure the economic losses to buffalo owners due to late diagnosis of pregnancy in their milch buffaloes.

Research Design: Ex-post facto and exploratory research design was used.

Place of the Study: Hisar and Jind districts of Murrah buffalo breeding tract in Haryana, India. Data were collected between June 2017 to December 2017.

Methodology: Data were collected through structured interview schedule from 37 buffalo owners who were taking artificial insemination services from State Department of Animal Husbandry and taking their buffaloes for the pregnancy diagnosis after three months of artificial insemination.

Results: The study revealed that the average per day per buffalo loss was found of Rs. 702 in study area. Average loss incurred by respondents per buffalo on feed was Rs. 5918, on labour Rs. 4155, on milk Rs. 13640 and total economic loss was Rs. 3925 due to late diagnosis of pregnancy.

Conclusion: Thus there is need to create awareness among the farmers regarding advantages of timely pregnancy diagnosis in their animals to minimize these losses in order to get maximum revenue from the animals.

Keywords: Economic losses, buffalo, late diagnosis of pregnancy


How to Cite

Yadav, Rekha, Hema Tripathi, Parveen Kumar, and Nukala Ramesh. 2019. “Assessing the Economic Losses to Buffalo Owners Due to Late Diagnosis of Pregnancy in Their Milch Buffaloes”. Asian Journal of Agricultural Extension, Economics & Sociology 33 (4):1-6. https://doi.org/10.9734/ajaees/2019/v33i430181.

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