Tribal dairy farming status in the Northern Hills Zone ofChhattisgarh state, India - An survey research

2016 ◽  
Vol 35 (4) ◽  
Author(s):  
P. Mooventhan ◽  
K. S. Kadian ◽  
R. Senthil Kumar ◽  
A. Manimaran ◽  
A. Sakthivel Selvan
Keyword(s):  
Survey Research ◽  
Milk Production ◽  
Rural Areas ◽  
Herd Size ◽  
Dairy Farming ◽  
Production Performance ◽  
Dairy Production ◽  
Subsistence Level ◽  
Dairy Animals ◽  
F2 Generation

This survey research was carried out to explore the existing dairy farming status in the tribal populated districts of northern hills zone of Chhattisgarh state. Dairy sector has huge potential to generate rural employment and assures the nutritional security to rural folk who belongs to weaker section of the society. Chhattisgarh state is still in primordial stage in dairy farming though the state has good number of cattle population compared to other leading milk producing states. To augment the dairy production in the rural areas, surveying and analysis of existing dairying status is essential and this result helps the planners, administrators, development workers, scientists and others to frame policies to implement developmental schemes. The results indicated that, more than half (56.33%) of the tribal dairy farmers falling under the category of subsistence level of dairy production system, about half (44.67 %) of the respondents possessing medium herd size, non-descript dairy cattle ranks first in the livestock category numbers (865), followed by draught animal (539), cross breeds (126), non-descript upgraded (93), Buffalo upgraded + ND (79), Scrub bulls (27) and Calves (ND + CB + BC were (146). Non-descript lactating cows had 1.24 litres/animal as an average milk production with the maximum of 2 litres and minimum of 250 ml. Crossbred, Upgraded buffaloes and Upgraded non-descript dairy animals had shown the superior milk production performance in F2 generation. Less than half (45.33%) of the tribal farmers producing less than 1.2 litres of milk per day and majority (64.67%) of the respondents selling surplus milk through middle man.

Seasonal Influence on Milk Production Performance in SDCMPUL in Tamil Nadu

2021 ◽  
Keyword(s):  
Milk Production ◽  
Tamil Nadu ◽  
Seasonal Fluctuation ◽  
Secondary Data ◽  
Climatic Conditions ◽  
Production Performance ◽  
Reproduction Traits ◽  
Dairy Animals ◽  
The Mean ◽  
Spss Software

Dairy farming is vulnerable to seasonal variable factors such as temperature, cold climatic conditions, and rainfall. These affect the production and reproduction traits of dairy animals. Seasonal variability also affects the quantity of consumption and marketing of milk considerably. The study aimed to assess the seasonal fluctuation in milk production in Sivagangai District Cooperative Milk Producer Union Limited (SDCMPUL), Tamil Nadu. The study used secondary data. The milk production data were collected from SDCMPUL, Karaikudi, Tamil Nadu. The data covered the period from 2001-02 to 2020-21. The study used descriptive statistics, CAGR, and paired ‘t-test to determine the variation of milk production according to seasonal changes. The MS office - Excel software and SPSS software were used to analyse the data. The results revealed that the mean milk production of the lean and flush season was 2.46 and 2.30 lakh liters, and the CAGR of milk production in SDCMPUL, Tamil Nadu, during the period 2001-02 to 2020-21 was 5.65 percent, and it was 5.23 percent in lean season and 6.11 percent in the flush season while the growth rate of milk production during the lean and flush season was positive and was significant statistically. It was found that the quantity of milk production was higher in the lean season than a flush season; however, the variability of milk production was more in the flush season than in the lean season.

Role of niacin supplementation in dairy cattle: A review

2017 ◽  
Vol 36 (02) ◽  
Author(s):  
S. Panda ◽  
N. Panda ◽  
K. K. Panigrahy ◽  
S. K. Gupta ◽  
S. P. Mishra ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Metabolic Diseases ◽  
Production Performance ◽  
Health Production ◽  
Human Beings ◽  
Vitamin B3 ◽  
Beneficial Effects ◽  
Dairy Animals ◽  
Increase Milk Production

Niacin (Vitamin B3) is significantly important for the metabolism of animals and human beings due to its incorporation into the coenzymes NAD and NADP. For dairy cows, the microbial synthesis of niacin in the rumen is an important source besides its availability from feed and endogenous formation. This vitamin is involved in various energy-yielding pathways and for synthesis of amino acid and fatty acid; for which it is important for milk production. Supplementation of niacin has beneficial effects on growth of cattle. The production performance of dairy cows fed with niacin at 6g/day may not be satisfactory, but supplementation of 12g of niacin per head per day can increase milk production by about 1lb. An optimistic return on asset is possible if the supplementation is limited to high producing early lactation cows. Supplementing the dairy animals with a dose of 6-12g of niacin will not only protect them from various metabolic diseases but will also help them defend from severe heat stress; ultimately leading to augmentation of their health, production potential and economy.

scholarly journals Economic framework of dairy family farms development

2019 ◽  
Vol 21 (92) ◽  
pp. 33-42
Author(s):  
V. A. Chemerys ◽  
V. I. Dushka ◽  
V. L. Maksym ◽  
D. O. Solomonko
Keyword(s):  
Milk Production ◽  
Economic Efficiency ◽  
Rural Areas ◽  
Dairy Farming ◽  
Family Type ◽  
Family Farms ◽  
State Support ◽  
Economic Framework ◽  
Dairy Cattle Breeding ◽  
The Cost

One of main industry of livestock in Ukraine there is the dairy farming on the cost of gross value products, development of which status substantially influences on food security providing and AIC export potential forming. However much the about two third of industry gross value products made by households, which are characterized with the low level of efficiency and marketability. In the article the conducted researches are in relation to development dairy cattle breeding in Ukraine by creation of farms, including family type, on the base of households. Achievement of the put purpose, in our viewpoint, possible at forming of economic interest to work in dairy farming at the active rural population. As a result of research certainly basic economic criteria of farms development taking into account the maximum scales of production activity, cost of sales, and also necessary level of technological and economic efficiency, which will be instrumental in the successful functioning of such economic agent. The economic framework of dairy production is developed in the family farms of three types, which differ on the quantity of cows and sales prices for milk. Certainly, that the cost of the advanced capital which is needed for milk production organization in family farms will differ from 25 to 60 thousand euro taking into account state support indemnifications on the purchase of the fixed assets, scales of production and present material and technical resources of households, which creation is offered on the base of. Creation of farms with a herd not less than 20 cows at the farm gate wholesale milk price  and also farms with a herd not less than 9 cows, in a that number the already existent households created on a base subject to condition organization sales of total mine-out products on prices which are close to the retail, with the purpose of average monthly sufficient sum of cash flow achievement which will be instrumental in forming economic and investment interest, among the capable of working habitants in rural areas to produce milk is offered. Recoupment of such farms depending on the scales of production, milk sale prices and level of state support, will make from 3 to 6 years. The important condition of rapid family farms recoupment is a state support level, cows productivity and milk prices. Also certainly basic indexes of economic efficiency and investment attractiveness of milk production in the offered three types of farms. Conducted economic analysis of main indexes of efficiency, on the basis of which the best possible option dairy family farm is justify. The scientifically substantiated that family dairy farms development on the base of households in rural areas will be instrumental in the increase of economic potential of the dairy farming in Ukraine.

scholarly journals Meta-analysis and sustainability of feeding slow-release urea in dairy production

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246922
Author(s):  
Saheed A. Salami ◽  
Colm A. Moran ◽  
Helen E. Warren ◽  
Jules Taylor-Pickard
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Feed Efficiency ◽  
Slow Release ◽  
Meta Analysis ◽  
Production Performance ◽  
Dairy Production ◽  
Slow Release Urea ◽  
The Impact

Slow-release urea (SRU) is a coated non-protein nitrogen (NPN) source for providing rumen degradable protein in ruminant nutrition. A meta-analysis was conducted to evaluate the effects of replacing vegetable protein sources with SRU (Optigen®, Alltech Inc., USA) on the production performance of dairy cows. Additionally, the impact of SRU supplementation on dairy sustainability was examined by quantifying the carbon footprint (CFP) of feed use for milk production and manure nitrogen (N) excretion of dairy cows. Data on diet composition and performance variables were extracted from 17 experiments with 44 dietary comparisons (control vs. SRU). A linear mixed model and linear regression were applied to statistically analyse the effect of SRU on feed intake and production performance. Feeding SRU decreased (P < 0.05) dry matter intake (DMI, -500 g/d) and N intake (NI, -20 g/d). There was no significant effect (P > 0.05) on milk yield, fat-corrected milk, energy-corrected milk, and milk fat and protein composition. However, SRU supplementation improved (P < 0.05) feed efficiency (+3%) and N use efficiency (NUE, +4%). Regression analyses revealed that increasing SRU inclusion level decreased DMI and NI whereas increasing dietary crude protein (CP) increased both parameters. However, milk yield and feed efficiency increased in response to increasing levels of SRU inclusion and dietary CP. The NUE had a positive relationship with SRU level whereas NUE decreased with increasing dietary CP. The inclusion of SRU in dairy diets reduced the CFP of feed use for milk production (-14.5%; 373.13 vs. 319.15 g CO2 equivalent/kg milk). Moreover, feeding SRU decreased manure N excretion by 2.7% to 3.1% (-12 to -13 g/cow/d) and N excretion intensity by 3.6% to 4.0% (-0.50 to -0.53 g N/kg milk). In conclusion, feeding SRU can contribute to sustainable dairy production through improvement in production efficiency and reduction in environmental impacts.

scholarly journals Do Dairy Farming Systems Differ in Antimicrobial Use?

Animals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 47
Author(s):  
Anna Zuliani ◽  
Isabella Lora ◽  
Marta Brščić ◽  
Andrea Rossi ◽  
Edi Piasentier ◽  
...  
Keyword(s):  
Milk Production ◽  
Management Practices ◽  
Farming Systems ◽  
Herd Size ◽  
Dairy Farming ◽  
Human Medicine ◽  
High Yield ◽  
Antimicrobial Use ◽  
Dual Purpose ◽  
Essential Information

The quantitative assessment of antimicrobial use (AMU) in food-producing animals contributes to the provision of essential information for developing relevant and effective policies to reduce use and to control antimicrobial resistance. Information on AMU is available mainly for intensive dairy farming systems and specialized high-yielding breeds. The aim of this study is to investigate AMU in different dairy farming systems by comparing the treatment incidence in mountain farms with specialized high-yield dairy breeds or with dual-purpose breeds raised for milk production to the treatment incidence in lowland farms with specialized high-yield dairy breeds or with dual-purpose breeds raised for milk production. Significant differences were found only between the overall treatment incidence, as well as the treatment incidence of highest-priority critically important antimicrobials for human medicine, in lowland farms with high-yielding breeds and mountain farms with dual-purpose breeds. Mountain farms have a generally lower milk production and smaller herd size than lowland farms, provide cows with access to pasture, and limit concentrates in the diet. These management practices and the use of local/dual-purpose breeds could reduce the risk of production diseases and the consequent need for AMU.

scholarly journals Certain aspects of evaluation of the level of efficiency of intensification in milk production

2019 ◽  
pp. 63-69
Author(s):  
Valery Kolosha
Keyword(s):  
Milk Production ◽  
Cost Efficiency ◽  
Agricultural Land ◽  
Dairy Farming ◽  
Production Performance ◽  
Agricultural Enterprises ◽  
Student’S T ◽  
The Cost ◽  
The Relationship ◽  
Student’S T Test

Evaluation of the influence of production intensity in the field of dairy farming on the level of economic efficiency was performed using agricultural enterprises of the Region of Kharkiv and Chernihiv as examples. The enterprises were grouped according to the level of expenses per cow: up to UAH 10,000, UAH 10,000.1 - UAH 15,000, UAH 15,000.1 - 20,000, UAH 20,000.1 - 25,000 and more than UAH 25,000. It was established that production intensity in the field of dairy farming is very closely related with productivity of animals. In order to verify the significance of differences between groups under the parameter of cow productivity, comparison of the means by Student’s t-test was used that confirmed defi-niteness of this difference. Productivity of cows consistently increased from the first to the fifth group. It was determined that in absolute terms the largest difference was between the fourth and fifth groups of enterprises, which amounted to 1685 kg, and in relative terms - between the first and second - 37.0%. The regression model developed on the example of agricultural enterprises at the Region of Chernihiv allowed to determine influence and closeness of relationship between the level of prof-itability of milk production and independent indicators: productivity of cows (milk yield per 1 cow), the size of agricultural land, production cost of 1 quintal of milk and the share of milk in the structure of marketable products. The nonlinear nature of the relationship between the cost per cow and the level of profitability of milk production has been established. Based on the constructed model, it was determined that in the agricultural enterprises of the Region of Chernihiv at the average level of management in 2016 the highest cost efficiency level (16.1%) took place for the expendi-ture of 29174.6 UAH / head. At agricultural enterprises of the Region of Kharkiv, the highest cost efficiency level in 2018 (17.3 %) was reported for the expenditure of UAH 40,241/head. Key words: dairy farming, production performance, production intensity, cost efficiency, non-linear dependence of parameters, correlation model.

scholarly journals PERI-URBAN DAIRY PRODUCTION IN OGUN STATE

2021 ◽  
Vol 25 (1) ◽  
pp. 83-87
Author(s):  
I. F. ADU ◽  
A. B. J. AINA ◽  
A. O. FANIMO ◽  
A. IDOWU ◽  
K. A. OKELEYE ◽  
...  
Keyword(s):  
Local Government ◽  
Milk Production ◽  
Health Management ◽  
Herd Size ◽  
Current Level ◽  
Dairy Production ◽  
Ogun State ◽  
Soft Cheese ◽  
The Mean ◽  
Household Heads

Peri-urban dairy production was assessed in sixty-nine settlements from five Local Government Areas of Ogun State. Majority of the household heads were Fulani from Kwara State. The mean herd size was 12 while the predominant breeds were the Bunaji and Keteku. Calves suckle their dams until weaning at an average of 8.3 months. Estimates of extractable milk from each cow ranged from 227 to 816 liters per loctation. About 85.2% of the extractable milk is processed into wet soft cheese (Wara). Trypanosomiasis and diarrhea were the commonly reported disease problems. Improved feeding and health management of cattle would improve the current level of milk production Ogun State

scholarly journals Economic analysis of green fodder crops for enhancing the dairy profitability in Punjab

2021 ◽  
Vol 22 (SE) ◽  
pp. 1-8
Author(s):  
Varinder Pal Singh ◽  
Harparteet Singh ◽  
Inderpreet Kaur
Keyword(s):  
Milk Production ◽  
Total Sample ◽  
Herd Size ◽  
Market Prices ◽  
Climatic Regions ◽  
Fodder Crops ◽  
Green Fodder ◽  
Dairy Animals ◽  
Paddy Crop ◽  
The Cost

The present study has been carried out in three agro-climatic regions of Punjab state, i.e.  Sub mountainous, Central and South-Western regions for examining the economics of different green fodder crops and importance of green fodder in enhancing the dairy profitability. The study consisted of a total sample size of 120 farmers growing green fodder crops and keeping dairy animals.  It was observed from the study that the profitability from important green fodder crops based crop cycle is a little bit higher (bajra + berseem ` Rs.1,213) than the traditional wheat-paddy crop rotation (`Rs.49,005). It was found that proportion of green fodder in the cost of milk production was lower (12.12 per cent) if green fodder is home-produced compared to the market prices of green fodder (23.13 per cent). In this way, the expenditure on green fodder can be curtailed by about 13-14 per cent, which will curtail the overall cost of production of milk and enhance the productivity and profitability from milk production. A direct link between green fodder quantity and milk yield has been observed. Therefore, farmers need to motivated for enhancing the green fodder production for properly feeding the animals and further, they should try to increase the herd size so that higher profits from dairy farming can be realized.

LIME AND DAIRY PRODUCTION

1982 ◽  
pp. 93-103
Author(s):  
N.A. Thomson
Keyword(s):  
Soil Moisture ◽  
Dairy Cows ◽  
Milk Production ◽  
Soil Ph ◽  
Dairy Production ◽  
Pasture Production ◽  
The Third ◽  
One Year ◽  
Plasma Magnesium

In a four year grazing trial with dairy cows the application of 5000 kg lime/ ha (applied in two applications of 2500 kg/ha in winter of the first two years) significantly increased annual pasture production in two of the four years and dairy production in one year. In three of the four years lime significantly increased pasture growth over summer/autumn with concurrent increases in milk production. In the last year of the trial lime had little effect on pasture growth but a relatively large increase in milkfat production resulted. A higher incidence of grass staggers was recorded on the limed farmlets in spring for each of the four years. In the second spring immediately following the second application of lime significant depressions in both pasture and plasma magnesium levels were recorded. By the third spring differences in plasma magnesium levels were negligible but small depressions in herbage magnesium resulting from lime continued to the end of the trial. Lime significantly raised soil pH, Ca and Mg levels but had no effect on either soil K or P. As pH levels of the unlimed paddocks were low (5.2-5.4) in each autumn and soil moisture levels were increased by liming, these factors may suggest possible causes for the seasonality of the pasture response to lime

Sources and uses of information on a West Coast dairy farm

2002 ◽  
pp. 31-32
Author(s):  
C. Van der Geest
Keyword(s):  
Milk Production ◽  
Time Pressure ◽  
Data Gathering ◽  
Technical Information ◽  
Dairy Farm ◽  
Farming System ◽  
Herd Size ◽  
Financial Benefit ◽  
Nitrogen Response ◽  
Directional Information

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.

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