An Economic Analysis of Milk Production of Buffalo and Cow in Rajasthan

Meena, G. L.; Sharma, Latika; Mishra, Siddhartha; Choudhary, Shanti

doi:10.5958/2231-6744.2019.00027.6

Cited by 5 publications

(6 citation statements)

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“…The analysis of the costs involved in the production of milk across all kinds of milch animals is an important component of bovine husbandry. The results are in line with the findings of Chand et al (2017) [2] , Meena et al (2019) [7] and Rathore et al (2020) [10] . 3.…”

Section: Resultssupporting

confidence: 92%

Economics of milk production in Maharashtra: A case study

Narnaware,

Shinde,

Patil

et al. 2024

Int. J. Agric. Extension Social Dev.

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The Vidarbha and Marathwada regions of Maharashtra State were selected for the study that examined the profitability of milk production as a whole and its numerous operational and managerial aspects. This region was chosen purposively since it produces less milk and has lower productivity compared to the rest of the state. In the years 2021 and 2022, 410 milk producers were randomly categorised into three groups: small (1-3 milch animals), medium (4 to 5 animals), and large (6 animals or more). Primarily, data was collected from these producers and tabular data analysis was carried out. The daily maintenance cost per milch animal of Rs. 150.75 for buffalo, Rs. 133.23 for crossbred cows, and Rs. 49.64 for local cows, out of all the different cost components, the greatest amount was spent on feed, which ranged from 66.24% for local cows, 61.64% for crossbred cows, and 64.80% for buffalo. Crossbred cows had the lowest average cost per liter of milk production at 23.75 rupees, while local cow buffalo had the highest at 42.10 rupees, buffalo at 33.23 rupees. When looking at net return per milch animal, the highest was Rs. 129.16 for buffalo, followed by Rs. 41.26 for crossbred. Rearing of local cow incur a loss of Rs. 3.39 per milch animal per day.

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Section: Resultssupporting

confidence: 92%

Economics of milk production in Maharashtra: A case study

Narnaware,

Shinde,

Patil

et al. 2024

Int. J. Agric. Extension Social Dev.

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“…67.87 per day. The net income is closer to the result of a study done earlier in which net return per day was Rs.73.44 of buffalo (Meena and Sharma, 2019). The total maintenance cost per milch animal was Rs.…”

Section: Income or Returns From Milk Productionsupporting

confidence: 71%

Study the economics of crop-livestock integrated farming system: A study of Hadoti Region of Rajasthan

Sharma¹,

Badal²

2021

IJAS

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An integrated Farming system is the basic need of today. A survey of farmers was conducted in 2020-21 covering the Kota, Bundi, Baran, and Jhalawar districts of southern Rajasthan. Crop-livestock farming systems were adopted by most of the farmers in the study area. Cereals, legumes, and oilseed were the major crops that were sown. The farmer of this region (Hadoti) practiced livestock rearing along with crop cultivation which had significant contributions as their primary source of income. The gross income per hectare from Soybean, black gram, wheat, and gram was Rs. 34,645.23, Rs. 28,150.61, Rs. 64268.78 and Rs. 47543.00, respectively. The cost was calculated using the Cost concept as suggested by CACP. Using livestock as one more enterprise farmers’ was able to generate higher profit shown in the study. B:C ratio for IFS was 1.3 which was a good sign for the farming enterprise.

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“…Relatively small herd size was observed by Pathania and Sharma (2016) in Jaisinghpur tehsil and Meena et al . (2019) in Rajasthan as compared to the findings of the current study.…”

Section: Resultsmentioning

confidence: 50%

Yield gap in milk production is considerable in Indian Himalayan state of Meghalaya

Kemboi

Feroze

Singh

et al. 2021

Journal of Dairy Research

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Yield gaps in milk production are here defined as the differentials between the actual yield obtained by the dairy farmer and the potential farm yield (production achieved by the top 10% of farmers: Gap 2) as well as the differential between this potential farm yield and the yield registered in the research stations (Gap 1). Assessment of yield gaps provides valuable information on potential production enhancement and drivers behind yield gaps. Milk production can be increased by narrowing the predominant large yield gaps in resource-poor smallholder farming system. Hence, this study assessed the milk yield gap and factors affecting the yield gap in Ri-Bhoi district of Meghalaya, a state located in the north-eastern Himalayan region of India. This research paper provides a scope for exploring the possibilities for improving dairy production in the state as well as contributing to literature through incorporating crucial determinants responsible for milk yield gap. A sample of 81 respondents was drawn purposely from two blocks of the district. The results indicated that the average number of cattle per household was 9.38 in standard animal units. The total yield gap was estimated at 6.20 l (91.06%) per day, composed of 0.80 l (11.76%) per day of yield gap I and 5.40 l (79.30%) per day of yield gap II. This demonstrates that the top performing farms were achieving a production level not dissimilar to that obtained on the research stations, but many were doing far less well. The size of cattle shed, dairy farming experience, concentrate price and human labour were the important determinants of the yield gap. Hence, encouraging the right stocking density of cattle, training on the preparations of home-made concentrates, access to cheap and quality concentrates, incorporating training and experience sharing on proper dairy management practices and use of technology could benefit the dairy farmers of the region.

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An Economic Analysis of Milk Production of Buffalo and Cow in Rajasthan

Cited by 5 publications

References 0 publications

Economics of milk production in Maharashtra: A case study

Economics of milk production in Maharashtra: A case study

Study the economics of crop-livestock integrated farming system: A study of Hadoti Region of Rajasthan

Yield gap in milk production is considerable in Indian Himalayan state of Meghalaya

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