From being a recipient of massive material support from the World Food
Program (WFP) and the European Community (EC) in the 1950s and 1960s, India has
positioned itself as the largest producer of milk in the world with estimated
production of about 82 million tonnes in 2001-02, overwhelmingly from the
output of millions of smallholder producers. The cooperative movement
(Operation Flood) has been important in dairy development in different parts of
the country, especially in the western (Gujarat), and undoubtedly, has played
an important role in keeping smallholders involved with this fast growing
sector. The Indian dairy sector, which was highly regulated and protected
through various restrictions on imports and exports of dairy products and
licensing provisions until early 1990s, has become progressively more
liberalized since 1991, culminating in the repeal of licensing requirements in
2002 of the Milk and Milk Products Order (MMPO), which restricted the private
dairies to procure milk in areas being served by the cooperative sector. One
fear is that private dairies will begin to procure primarily from larger scale
suppliers, even as they provide tough competition to cooperative milk
processors, and eventually lead to the eclipse of smallholder dairy production
that has been so important to millions of rural poor and women in India. While
it is too early to assess changes in procurement patterns for milk as a result
of the recent policy changes, it is important under liberalization to know
whether larger scale producers have a cost advantage that will lead to the
displacement of smallholders under a liberalized market. This study is an
attempt in this direction. It might be recalled that there were four main
issues, outlined earlier in this study:
- Do small-scale milk producers have lower profits per
unit of output than do large producers?
- Are small-scale producers more efficient if family
labor is not costed and environmental externalities taken into account?
- Do profits per unit of output of small-scale producers are more sensitive to Transaction Costs (TC's) and policy distortions than are those of large-scale producers?
- Do smallholder dairy producers generate a lower negative environmental externality per unit of output than large-scale producers?
The present study uses primary data from a survey of 520 milk producers
divided between traditional cooperative milksheds of Gujarat and dynamic newer
milksheds of the northern region of the country (Punjab and Haryana). The
sample in both regions ranges from traditional smallholder producers to
large-scale commercial producers. Stochastic profit frontiers with inefficiency
effects are fitted to the data to assess scale differences in production
efficiency, and the determinants of inefficiency at different scales of
operation. Results are then analyzed to assess the likelihood that smallholders
will continue to compete successfully in a liberalized market, and to explore
policy options for enhancing their competitiveness in such a market.
The study begins with a review of changes in policy environment of the
Indian dairy sector and the impetus for those changes (Chapter 2). Chapter 3
discusses the conceptual framework and econometric estimation of efficiency
measures and determinants of inefficiency. Sampling procedures, sample design
and composition, and data description are given in chapter 4. Chapter 5
provides discussion on socio-economic and demographic characteristics of
households, asset composition and ownership pattern, milk production and
marketing practices, provision of animal health and breeding services and
constraints faced by dairy farmers. Mass balance estimation procedures and
results are presented in Chapter 6. The issues of relative efficiency and
profitability of dairy farming and farm sizes through profit frontier and
inefficiency model are examined in chapter 7. Conclusions and policy
implications of the study are discussed in Chapter 8.
8.1 Main Findings
Dairy is an important sub-sector of the Indian agriculture accounting
for nearly 17 percent of the value of output from agriculture and allied
activities. India is the largest producer of milk in the world with estimated
production of about 82 million tonnes followed by the USA, although in terms of
milk yield, the performance of Indian dairy sector is dismal. One of the major
factors contributing to increase in milk production is adoption of
crossbreeding programs by the farmers. The performance of Indian dairy sector
over the last three decades (post-OF period) has been extremely impressive and
milk production in the country has more than trebled to about 82 million tonnes
between 1970-71 and 2001-02 with an average increase of about 4.5 percent per
annum.
The government efforts in dairy development were intensified with
the launching of the Operation Flood (OF) program in 1970, which had three
phases from 1970 to 1996. The OF program was instrumental in establishing links
between millions of small dairy farmers and urban consumers through
cooperatives. Dairying was considered as important source of additional
employment and income to small and marginal farmers as well as the landless in
rural areas (NCA, 1976). Once the decision to adopt the cooperative structure
as a means for dairy development was taken, government policies were formulated
to support dairy cooperatives. Large public investments were made in the milk
processing and marketing infrastructure through cooperatives.
In order to promote
domestic milk production, the restrictive policy framework of restricting the
entry of organized private dairies into the processing sector and protection
against competition from imports by restricting imports of dairy products
through various import restrictions was adopted. The sector remained highly
regulated and restricted until early 90s under the industrial licensing
framework. However, in 1991 as a part of domestic macro-economic reforms, dairy
sector was delicensed and within a year, more than 100 new plants in the
private sector were set up (Dairy India, 1997). Restrictions were again imposed
in 1992 in the form of Milk and Milk Products Order (MMPO). The MMPO made it
mandatory for units with milk processing capacity above 10,000 liters per day
or milk solids capacity of 500 tonnes per year to get permission of the State/Central
government. However, in March 2002 the government took an important decision to
amend the Milk and Milk Products Order and restrictions on new milk processing
capacity were removed, while regulation on health and safety issues continued.
The results of financial profitability show that small-scale
producers have higher profits (without family labour) per liter of milk than
large-scale producers, other things equal. However, there were regional
differences. Small farmers in the western region have higher profits compared
to their counterparts in the northern region, while large farmers in northern
region have high profitability compared to western region. This differential
pattern might be due to presence of cooperatives in the western region, which
provide assured market for milk irrespective of level of production along with
other production inputs and services. The relationship between farm size and
profitability remained unchanged even after taking into account family labor
but the level of profits declined substantially on small farms as small farms
use mostly family labor for milk production activities.
The findings from the application of stochastic profit frontier
function present a number of noteworthy features of the performance of the milk
producers in relation to their specific characteristics. The hypothesis that
there were no technical inefficiencies among milk producers was rejected. The
explanatory variables, price of milk, price of fodder and feed and yield, have
significant impact on farm profits. The analysis revealed that milk producers
could benefit considerable by improving technical efficiency through use of
best-practice production methods. The estimates of mean technical efficiencies
of sample dairy farmers varied from 0.79 on farms with average daily milk
production of 40-80 liters and more than 150 liters to 0.85 on small farms
(<10 liters/day production level). The results clearly indicate that small
farmers are technically more efficient compared to large-scale producers. The
average technical efficiency of the sample farmers in northern region was lower
(0.79) than that of in western region (0.84).
The analysis was successful
in identifying the determinants of technical inefficiency at the farm level. In
case of small farms, access to information and technology, access to credit and
expenses on pollution abatement are important variables that significantly
explain (reduce) inefficiencies. Together with the fact that most small farms
do not have easy access to information and technology, and credit, these
results suggest that the provision of extension services and credit to
small-scale milk producers might be a promising way of increasing milk
production and productivity in India. In case of large producers, access to
information and technology and credit do not play a bigger role in explaining
the technical inefficiency. The results clearly demonstrate that the profits
per unit of output of small-scale producers are more sensitive to differences
in transaction costs across farms, other things equal, than in the case for
large-scale production. The results suggest that dealing with transaction costs
(through institutions) is critical for improving the ability of smallholders to
compete in the market place with large-scale producers.
With increased animal densities, manure quantity and its disposal
become important issues with socioeconomic implications for livestock owners
and communities. Livestock sector is coming under increasing social pressures
to control negative externalities from their operations. Waste from livestock
has been a potential source of environmental degradation in many countries. It
is critical to examine empirically the magnitude of negative environmental
impacts from livestock production. One of the hypotheses of this study was to
examine whether smallholder dairy producers generate a lower negative
environmental externality per unit of output than large-scale
producers. The real amount spent per unit of output for environmental
preservation by each farm, which will offset negative externalities, whatever
they might be, was computed. The results reveal that smallholder milk producers
spend relatively more on pollution abatement methods compared to large farmers.
One reason that small farmers spend more on pollution abatement is that
smallholder producers have crop-livestock mix activities and consider manure as
a source of additional income and use it on their fields in place of chemical
fertilizers or make dung cakes to use as fuel. In contrast, large farms, which
are located close to peri-urban areas, do not find market for sale of manure
and try to dispose-off in unsustainable manner. Therefore, failure to
compensate for negative environmental externalities is another policy
distortion that is encouraging the scaling-up of livestock production. The
policy of livestock production waste pollution has so far remained on the low
priority of the public policies related to environmental protection.
The above findings clearly
show that smallholder milk producers have higher profits per liter of milk and
are more efficient than those of large-scale producers, however, smallholders
could still be driven out of the market due to:
(i) large farmers produce large volumes
(ii) smallholders have difficulty complying
with SPS/quality standards
(iii) small-scale producers are more sensitive
to transaction costs due to policy distortions and poor
institutional support
(iv) smallholders have
less access to world dairy markets
8.2 Issues for Further Research
No project can attempt to answer all the questions that arise out of the
list of priorities. These are some of the issues/questions, which have not been
addressed in this study and need an empirical investigation. Some of the
issues, which need to be addressed, are listed below:
- How cost of milk procurement differs between small
farms and large commercial farms?
- What types of contracts arrangements will emerge
between producers and processors in an open economy environment and what
could be their implications for the smallholder producers?
- Large commercial farms spend less on environmental pollution abatement and scaling-up of milk production is taking place, therefore, what kind of environmental implications does it have?
- Is it feasible for smallholder producers to comply with improved animal health, food safety and quality standards (SPS and TBT issues)? Whether smallholders can continue to compete without institutional support?
Ali, M. and J.C. Flinn. 1989. "Profit efficiency among
basmati rice produces in Pakistan Punjab", American Journal of
Agricultural Economics. May (1989): 303-310.
Battese, G.E. 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics", Agricultural Economics. 7:185-208.
Battese, G.E. and T.J. Coelli. 1993. "A stochastic frontier production function incorporating a model for technical inefficiency effects." Working Papers in Econometrics and Applied Statistics No. 69, Department of Econometrics. University of New England, Armidale.
Battese, G. E. and T. J. Coelli. 1995. "A model for technical inefficiency effects in a stochastic frontier production function for panel data", Empirical Economics, 20: 325-332.
Candler, W. and N. Kumar. 1998. "India: The dairy revolution: Impact of dairy development in India and the World Bank's contribution", The World Bank Operation Evaluation Department (OED), Washington, D.C.: The World Bank.
Coelli, T. J. 1994. "A guide to FRONTIER Version 4.1: A computer program for stochastic frontier and cost function estimation", Department of Econometrics, University of New England, Armidale.
Coelli, T., D.S. Prasada Rao, and G.E. Battese. 1999. "An introduction to efficiency and productivity analysis", Kluwer Academic Publishers. 275 pages.
Dairy India. 1997. "Dairy India-1997", P.R. Gupta (Ed.). Delhi: B.B. Nath Printers.
Dastagiri, M.B. 2001. "Demand for livestock products in India: Current status and projections to 2020", Agricultural Economics Research Review (Conference Proceedings). Delhi: Agricultural economics Research Association (India).
Delgado, C., M. Rosegrant and S. Meijer. 2001. "Livestock to 2020: The revolution continues", Paper presented at the Annual Meetings of the International Agricultural Trade Research Consortium (IATRC), Auckland, New Zealand, January 18-19, 2001.
Faassen, H. and H. van Dijk. 1987. Manure as a Source of Nitrogen and Phosphorous in Soils. In H. van der Meer et. al. (eds), Animal Manure on Grassland and Fodder Crops: Fertilizer or Waste? Martinus Nijhoff Publishers, Wageningen.
Fried, H. O., C.A. Knox Lovell, and S. S. Schmidt, eds. 1993. "The measurement of productive efficiency: techniques and applications", Oxford University Press. New York. 425 pages.
Gandhi, V.P. and G. Mani. 1995. "Are livestock products rising in importance? A study of the growth and behaviour of their consumption in India", Indian Journal of Agricultural Economics, 50 (3) (July-September): 283-93.
Government of India (GOI). 1999. "Basic animal husbandry statistics 1999", Delhi: Department of Animal Husbandry & Dairying, Ministry of Agriculture, Government of India.
Government of India (GOI). 2002. "Basic animal husbandry statistics 2002", Delhi: Department of Animal Husbandry & Dairying, Ministry of Agriculture, Government of India.
Government of India (GOI). 2002. "Economic Survey 2001-02", Delhi: Economic Division, Ministry of Finance, Government of India.
Government of India (GOI). 2003. "Economic Survey 2002-03", Delhi: Economic Division, Ministry of Finance, Government of India.
Huffman, W. E. 1974. "Decision making: The role of education", American Journal of Agricultural Economics, 56: 85-97.
Huffman, W. E. 1977. "Allocative efficiency: The role of human capital", Quarterly Journal of Economics, 91: 59-79.
Jondrow, J., C.A. Knox Lovell, I. S. Materov, and P. Schmidt. 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model", Journal of Econometrics, 19:233-38.
Kalirajan, K. 1991. "The importance of efficient use in the adoption of technology: A micro panel data analysis", Journal of Production Analysis, 2: 113-126.
Kalirajan, K. P. and R. T. Shand. 1985. "Types of education and agricultural productivity: A quantitative analysis of Tamil Nadu rice farming." Journal of Development Studies, 21:222-243.
Kellogg R.L., et.al. 2000. "Manure Nutrients Relative to the Capacity of Cropland and Pastureland to Assimilate Nutrients: Spatial and Temporal Trends for the United States." USDA, NRCS, ERS, http://www.nrcs.usda.gov/technical/ land/pubs/manntr.html.
Kumar, P. 1998. "Food demand and supply projections for India", Agricultural Economics policy Paper 98-01. New Delhi: Indian Agricultural Research Institute.
Kumbahkar, S. C., S. Ghosh and J. T. McGuckin. 1991. "A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms", Journal of Business and Economic Statistics, 9:279-286.
National Commission on Agriculture (NCA). 1976. "Reports covering Animal Husbandry (Part VII) and statistics (Part XIV)", Delhi: Ministry of Agriculture and Irrigation, Government of India.
National Dairy Development Board (NDDB). 2003. Personal Communication.
National Dairy Development Board (NDDB). 2003. Materials from website: www.nddb.org.
Radhakrishna, R. and C. Ravi. 1994. "Food demand in India", Hyderabad, India: Centre for Economic and Social Studies. Mimeo.
Ray, S. 1988. "Data envelopment analysis, nondiscretionary inputs and efficiency: An alternative interpretation.", Socio-Economic Planning Science, 22:167-176.
Saxena, Rakesh. 2000. "Dynamics of demand for milk in this millennium", Paper presented at the XXX Dairy Industry Conference on Paradigm Shift in Dairying - Its Impact on the Indian Dairy Industry, December 8-9, 2000. Calcutta: Indian Dairy association (East Zone): 32-47.
Schultz T.W. 1975. "The value of ability to deal with disequilibria", Journal of Economic Literature", 13:827-896.
Shukla, R. K. and S. D. Brahmankar. 1999. "Impact evaluation of Operation Flood on rural dairy sector", National Council of Applied Economic Research, New Delhi, pp. 58-60.
Williams, P. 1992. Animal Production and European Pollution Problems. Photocopy. Rhone-Poulenc Animal Nutrition. France.
Yotopoulos, P. and J. Nugent. 1976. "Economics of development: Empirical investigations", New York: Harper and Row, pp. 144-163.
Battese, G.E. 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics", Agricultural Economics. 7:185-208.
Battese, G.E. and T.J. Coelli. 1993. "A stochastic frontier production function incorporating a model for technical inefficiency effects." Working Papers in Econometrics and Applied Statistics No. 69, Department of Econometrics. University of New England, Armidale.
Battese, G. E. and T. J. Coelli. 1995. "A model for technical inefficiency effects in a stochastic frontier production function for panel data", Empirical Economics, 20: 325-332.
Candler, W. and N. Kumar. 1998. "India: The dairy revolution: Impact of dairy development in India and the World Bank's contribution", The World Bank Operation Evaluation Department (OED), Washington, D.C.: The World Bank.
Coelli, T. J. 1994. "A guide to FRONTIER Version 4.1: A computer program for stochastic frontier and cost function estimation", Department of Econometrics, University of New England, Armidale.
Coelli, T., D.S. Prasada Rao, and G.E. Battese. 1999. "An introduction to efficiency and productivity analysis", Kluwer Academic Publishers. 275 pages.
Dairy India. 1997. "Dairy India-1997", P.R. Gupta (Ed.). Delhi: B.B. Nath Printers.
Dastagiri, M.B. 2001. "Demand for livestock products in India: Current status and projections to 2020", Agricultural Economics Research Review (Conference Proceedings). Delhi: Agricultural economics Research Association (India).
Delgado, C., M. Rosegrant and S. Meijer. 2001. "Livestock to 2020: The revolution continues", Paper presented at the Annual Meetings of the International Agricultural Trade Research Consortium (IATRC), Auckland, New Zealand, January 18-19, 2001.
Faassen, H. and H. van Dijk. 1987. Manure as a Source of Nitrogen and Phosphorous in Soils. In H. van der Meer et. al. (eds), Animal Manure on Grassland and Fodder Crops: Fertilizer or Waste? Martinus Nijhoff Publishers, Wageningen.
Fried, H. O., C.A. Knox Lovell, and S. S. Schmidt, eds. 1993. "The measurement of productive efficiency: techniques and applications", Oxford University Press. New York. 425 pages.
Gandhi, V.P. and G. Mani. 1995. "Are livestock products rising in importance? A study of the growth and behaviour of their consumption in India", Indian Journal of Agricultural Economics, 50 (3) (July-September): 283-93.
Government of India (GOI). 1999. "Basic animal husbandry statistics 1999", Delhi: Department of Animal Husbandry & Dairying, Ministry of Agriculture, Government of India.
Government of India (GOI). 2002. "Basic animal husbandry statistics 2002", Delhi: Department of Animal Husbandry & Dairying, Ministry of Agriculture, Government of India.
Government of India (GOI). 2002. "Economic Survey 2001-02", Delhi: Economic Division, Ministry of Finance, Government of India.
Government of India (GOI). 2003. "Economic Survey 2002-03", Delhi: Economic Division, Ministry of Finance, Government of India.
Huffman, W. E. 1974. "Decision making: The role of education", American Journal of Agricultural Economics, 56: 85-97.
Huffman, W. E. 1977. "Allocative efficiency: The role of human capital", Quarterly Journal of Economics, 91: 59-79.
Jondrow, J., C.A. Knox Lovell, I. S. Materov, and P. Schmidt. 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model", Journal of Econometrics, 19:233-38.
Kalirajan, K. 1991. "The importance of efficient use in the adoption of technology: A micro panel data analysis", Journal of Production Analysis, 2: 113-126.
Kalirajan, K. P. and R. T. Shand. 1985. "Types of education and agricultural productivity: A quantitative analysis of Tamil Nadu rice farming." Journal of Development Studies, 21:222-243.
Kellogg R.L., et.al. 2000. "Manure Nutrients Relative to the Capacity of Cropland and Pastureland to Assimilate Nutrients: Spatial and Temporal Trends for the United States." USDA, NRCS, ERS, http://www.nrcs.usda.gov/technical/ land/pubs/manntr.html.
Kumar, P. 1998. "Food demand and supply projections for India", Agricultural Economics policy Paper 98-01. New Delhi: Indian Agricultural Research Institute.
Kumbahkar, S. C., S. Ghosh and J. T. McGuckin. 1991. "A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms", Journal of Business and Economic Statistics, 9:279-286.
National Commission on Agriculture (NCA). 1976. "Reports covering Animal Husbandry (Part VII) and statistics (Part XIV)", Delhi: Ministry of Agriculture and Irrigation, Government of India.
National Dairy Development Board (NDDB). 2003. Personal Communication.
National Dairy Development Board (NDDB). 2003. Materials from website: www.nddb.org.
Radhakrishna, R. and C. Ravi. 1994. "Food demand in India", Hyderabad, India: Centre for Economic and Social Studies. Mimeo.
Ray, S. 1988. "Data envelopment analysis, nondiscretionary inputs and efficiency: An alternative interpretation.", Socio-Economic Planning Science, 22:167-176.
Saxena, Rakesh. 2000. "Dynamics of demand for milk in this millennium", Paper presented at the XXX Dairy Industry Conference on Paradigm Shift in Dairying - Its Impact on the Indian Dairy Industry, December 8-9, 2000. Calcutta: Indian Dairy association (East Zone): 32-47.
Schultz T.W. 1975. "The value of ability to deal with disequilibria", Journal of Economic Literature", 13:827-896.
Shukla, R. K. and S. D. Brahmankar. 1999. "Impact evaluation of Operation Flood on rural dairy sector", National Council of Applied Economic Research, New Delhi, pp. 58-60.
Williams, P. 1992. Animal Production and European Pollution Problems. Photocopy. Rhone-Poulenc Animal Nutrition. France.
Yotopoulos, P. and J. Nugent. 1976. "Economics of development: Empirical investigations", New York: Harper and Row, pp. 144-163.
http://www.fao.org/wairdocs/lead/x6170e/x6170e2x.htm
How safe is dairy business?
Dairy farming is a safe business for the following
reasons:
·
It is eco-friendly and does not cause
environmental pollution as compared to other industries.
·
Requirement of skilled labour is relatively
less.
·
Dairy product market is active round the
year.
·
Minimum investment on inventory. (No need to
to stock raw materials in huge quantities.)
·
Entire establishment can be shifted to a new
location (if need arises e.g. Fire, Floods etc.)
·
One can insure animals.
· Less energy requirement. Biogas plant fed
with cow dung can supply maximum energy to meet farms day to day requirement.
Decomposed slurry of such plant can also be effectively used as organic manure.
Limitations and Constraints:
· Breeding of animals and getting expected milk
yield is a biological phenomenon, which depends upon various factors.
· Dairy farming besides good planning requires
hardworking, reliable and alert manager. In India, usually persons from the
family take the responsibility.
· Inadequate management of feeding, heard
health and lack of quality control in various stage of production can cause
major loss affecting the profitability of the entire venture.
Starting the Farm – How to
begin with:
· One needs to decide first on the aims
and objective of the farm. Every year there should be a progressive aim for
breeding (including number of animals to be maintained) and production.
· You can visit dairy farms that run on
commercial basis and have a discussion with experienced farm owners. You need
not have to rely much on others experience, analyze every event logically and
if needed consult with local Veterinarians for more information.
·
If you plan to manage the farm on your own,
look for opportunities to work for an existing farm for a minimum period of six
months.
· Develop interest and study feed and
fodder’s market in your region, its difficulties in relation to seasons.
· Manage a good team of labourers. You
need to choose hardworking reliable persons preferably with some experience.
You can also train them for specific jobs.
·
Visit the cattle market occasionally. Observe
animals on sale and talk with persons engaged with purchasing of animals.
·
Read magazines and websites on Dairy Industry
and keep yourself informed.
Getting
some initial professional training…
Opportunities for training are available with most of
the:
·
Agricultural/Veterinary Universities of
various states
·
Krishi Vigyan Kendras
·
State Department of Animal Husbandry
·
State Institute of Rural Development
You can also choose to inquire with National level
organization like: National Dairy Research Institute (NDRI) Karnal (Haryana) –
For training on rearing of dairy animals and manufacture of milk products.
Alternately, you can also look for training facilities of
non-governmental organizations that are active in farming sectors.
Selecting the animal to farm
with – Cows v/s. Buffaloes
Cows
|
Buffalo
|
·
Good quality cows are available in the
market and it cost around Rs.1500 to Rs.2000 per liter of milk production per
day. (e.g. Cost of a cow producing 10 liter of Milk per day will be between
Rs.15,000 to Rs.20,000).
·
If proper care is given, cows breed
regularly giving one calf every 13-14 month interval.
·
They are more docile and can be handled
easily. Good milk yielding cross breeds (Holstein and Jersey crosses) has
well adapted to Indian climate.
·
The fat percentage of cow’s milk varies
from 3-5.5% and is lower then Buffaloes.
|
·
In India, we have good buffalo breeds like
Murrah and Mehsana, which are suitable for commercial dairy farm.
·
Buffalo milk has more demand for making
butter and butter oil (Ghee), as fat percentage in milk is higher then cow.
Buffalo milk is also preferred for making tea, a welcoming drink in common
Indian household.
·
Buffaloes can be maintained on more fibrous
crop residues, hence scope for reducing feed cost.
·
Buffaloes largely mature late and give
birth to calves at 16 to 18 months interval. Male calves fetch little value.
·
Buffaloes need cooling facility e.g.
Wallowing tank or showers / foggers with fan.
|
A
suggestion to help you in deciding the animal to farm with:
Middle class health-conscious Indian families
prefer low fat milk for consumption as liquid milk. We suggest you to go for a
commercial farm of mixed type. (Cross breed, cows and buffaloes kept in
separate rows under one shed). Conduct a through study of the immediate market
where you are planning to market your milk .You can mix milk from both type of
animals and sold as per need of the market. Hotels and some general customers
(can be around 30%) prefer pure buffalo milk. Hospitals, sanitariums prefer
cow’s milk.
What are the various breeds?
What is the economic life of animals?
Popular buffalo milch breeds are Murrah, Surti, Mehasani,
Jaffrabadi, and Nali – Ravi and Badhawari. The indigenous milch breeds of
cattle are Gir, Sahiwal, Red Sindhi and Tharparkar. The exotic breeds of cattle
are Holstein Friesian, Jersey and Brown Swiss.
Economic life of buffaloes is 5-6 lactation and that of Crossbreed cows is 6-7
lactation.
Productivity
and characteristics of known Indian breeds of Cattle
The minimum economic size to go with?
Under Indian condition a commercial dairy
farm should consist of minimum 20 animals (10 cows, 10 buffaloes) this strength
can easily go up to 100 animals in proportion of 50:50 or 40:60. After this
however, you need to review your strength and market potential before you chose
to go for expansion.
A
glance at the Infrastructure and Manpower requirements
The space required per animal should be 40
sq.ft in shed and 80sq.ft open space. Besides, you will also need:
·
One room 10” x 10” for keeping implements.
·
One room 10”x 12” for milk storage
·
Office cum living room of suitable size.
·
Water tank capable of storing minimum 2000
liters
·
Bore well with capacity to fill water tank in
1 hr
Total land requirement for a unit of 20
animals can be sited as 3000 sq.ft. There should be space for expansion. Ideal
space requirement for 100 animals is 13,000 to 15,000 sq.ft (120″ x 125”). For
20 animals initially, you can make contractual arrangements for getting an
assured supply of 300 kgs. of Lucerne and 400 kgs. of maize fodder per day.
However, in long run, as the strength of you farm will go up to 100 animals, It
is advisable that you should go for a lease land of 15 to 20 acres with
irrigation facility to cultivate green fodder for your animals. (One acre of
green fodder cultivation for every five animals is required as a thumb rule.)
The economics of whole dairy animal management depends upon its economic
feeding. By making fodder’s like Lucerne or Berseem available for your animals
you can reduce cost on feeding concentrate feed.
The strength of labourers in your farm can vary
with number of animals usually the thumb rule is one labour for every 10
animals on milk or 20 dry animals or 20 young stock.