Prospect of organic dairy farming in India: A review

2017 ◽  
Vol 36 (01) ◽  
Author(s):  
Saikat Maji ◽  
B. S. Meena ◽  
Pampi Paul ◽  
Vishwatej Rudroju
Keyword(s):  
Residual Effect ◽  
Farming System ◽  
Dairy Farming ◽  
Dairy Farmers ◽  
Milk Products ◽  
Organic Dairy ◽  
Rapid Spread ◽  
Indigenous Technical Knowledge ◽  
Rapid Pace ◽  
Quality Of Milk

Dairy farming has the potential for providing additional income to the farmers along with achieving major goal of organic farming i.e. diversified production and supporting biological cycle within farming system. India presently is the largest producer of milk in world supported by an astonishing growth rate in dairy sector. Apart from this due to increasing consumer awareness there has been an increased concern voiced over quality of milk and milk products including contamination, pollutant and the residual effect of various chemicals. Interest inorganic dairy farming is increasing at rapid pace worldwide as an alternative solution. Recent years have seen a sharp rise in demand of organic milk and milk products. Under Indian condition, rapid spread of organic dairy farming is possible because of some key geographical, cultural and economic advantages like traditional nature of farming and indigenous technical knowledge and practices followed by Indian farmers etc. But prevalence of small dairy farmers also poses many challenges for faster proliferation of organic dairy farming along with some other shortcomings. Present article provide some insight on strengths, weaknesses opportunities and threats of organic dairy farming in the country along with some potential ways to overcome these weaknesses and threats.

scholarly journals Composition of raw milk from conventional and organic dairy farming

2016 ◽  
Vol 32 (2) ◽  
pp. 133-143 ◽  
Author(s):  
Denis Kucevic ◽  
Snezana Trivunovic ◽  
Vladan Bogdanovic ◽  
Ksenija Cobanovic ◽  
Dobrila Jankovic ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Raw Milk ◽  
Farming System ◽  
Dairy Farming ◽  
Milk Samples ◽  
High Statistical Significance ◽  
Significant Difference ◽  
Organic Dairy ◽  
One Year ◽  
The Impact

Possible differences between composition of raw milk due to dairy farming system (organic vs conventional) as well as seasonal variations were investigated. The samples were analysed during one year. A total of 6.782 samples of raw milk were collected (4.496 from organic farming). Dairy farms were located in the northern part of Republic of Serbia (Province of Vojvodina). The principle of analysis of raw milk samples was in accordance with the methodology by midinfrared spectrometry and flow cytometry. The fixed effect of system of farming and season (winter, spring, summer and fall) have shown a high statistical significance (P < 0.01) on all examined milk parameters except fat, total solids and somatic cell count, where the impact was slightly lower (P < 0.05). Significant difference wasn't found in number of bacterial colonies (P > 0.05). Composition of milk is also affected by a number of other factors, therefore it is recommended to involve factors such as nutrition of dairy cows, breed and farm management.

scholarly journals Measuring and explaining multi-directional inefficiency in the Malaysian dairy industry

2017 ◽  
Vol 119 (12) ◽  
pp. 2788-2803 ◽  
Author(s):  
Nurul Aisyah Binti Mohd Suhaimi ◽  
Yann de Mey ◽  
Alfons Oude Lansink
Keyword(s):  
Production Systems ◽  
Dairy Industry ◽  
Farming System ◽  
Dairy Farming ◽  
Truncated Regression ◽  
Dairy Farmers ◽  
Technical Inefficiency ◽  
Content Type ◽  
Factors Affecting ◽  
Farm Finance

Purpose The purpose of this paper is to measure the technical inefficiency of dairy farms and subsequently investigate the factors affecting technical inefficiency in the Malaysian dairy industry. Design/methodology/approach This study uses multi-directional efficiency analysis to measure the technical inefficiency scores on a sample of 200 farm observations and single-bootstrap truncated regression model to define factors affecting technical inefficiency. Findings Managerial and program inefficiency scores are presented for intensive and semi-intensive production systems. The results reveal marked differences in the inefficiency scores across inputs and between production systems. Practical implications Intensive systems generally have lowest managerial and program inefficiency scores in the Malaysian dairy farming sector. Policy makers could use this information to advise dairy farmers to convert their farming system to the intensive system. Social implications The results suggest that the Malaysian Government should redefine its policy for providing farm finance and should target young farmers when designing training and extension programs in order to improve the performance of the dairy sector. Originality/value The existing literature on Southeast Asian dairy farming has neither focused on investigating input-specific efficiency nor on comparing managerial and program efficiency. This paper aims to fill this gap.

Cross-regional analysis on usage of Indigenous Technical Knowledge in dairy farming

2016 ◽  
Author(s):  
K. Ponnusamy ◽  
Rajiv Baliram Kale ◽  
K. N. Ravi ◽  
M. C. Arulmozhi Devi ◽  
Parvinder Sharma
Keyword(s):  
Regional Analysis ◽  
Dairy Farming ◽  
Technical Knowledge ◽  
Dairy Farmers ◽  
North East ◽  
Traditional Health ◽  
Health Care Practices ◽  
Traditional Health Care ◽  
Indigenous Technical Knowledge ◽  
User Friendly

Farmers in India have been using traditional health care practices in dairy farming since time immemorial. Present paper is an attempt to review the Indigenous Technical Knowledge (ITK) practised and documented across five regions in India viz., North, South, East, West and North East regions to understand the prevalence of ITKs and its dynamics of usage across the country. Cross regional analysis of location specificity of different ITKs, similarities and variation in ingredients usage and researchable issues in ITKs would help in further promoting its widespread usage. Large inter-regional variation in the ITK usage warrants a scope to popularize the validated ITKs among the dairy farmers of other regions where these are not being practised. Concerted research efforts are required in treatment of the important diseases like mastitis which causes heavy economical losses to the farmers, whereas the ITKs may be refined in the form of user friendly package for ultimate solution to the diseases.

Utilization of nitrogen (N) and phosphorus (P) in an organic dairy farming system in Norway

2004 ◽  
Vol 104 (3) ◽  
pp. 509-522 ◽  
Author(s):  
Håvard Steinshamn ◽  
Erling Thuen ◽  
Marina Azzaroli Bleken ◽  
Ulrik Tutein Brenøe ◽  
Georg Ekerholt ◽  
...  
Keyword(s):  
Farming System ◽  
Dairy Farming ◽  
Organic Dairy

scholarly journals Factors Affecting Machinations at Dairy Farms : An Appraisal from Economic Perspective

2022 ◽  
Vol 22 (1) ◽  
pp. 32-37
Author(s):  
H.R. Meena ◽  
K.R. Kadian ◽  
B.S. Meena ◽  
Gunjan Bhandari ◽  
Vikash Kumar
Keyword(s):  
Dairy Farm ◽  
Dairy Farming ◽  
Survey Method ◽  
Dairy Farmers ◽  
Time Saving ◽  
Indian States ◽  
Factors Affecting ◽  
The Government ◽  
Milking Machine ◽  
Quality Of Milk

This study was undertaken to get a comprehensive idea about the favourable and unfavourable factors for adoption of dairy automation/ machinations as perceived by dairy farmers, and study the economic impact of semi-automatic milking machine for small, medium and large dairy unit using the analysis of total cost and monetary benefits. The study was carried out in north Indian states, 30 commercial dairy farmers were selected constituting a total of 150 respondents practicing commercial dairy farming under survey method of investigation. Results revealed that time saving in dairy farm operations, drudgery reduction, and maintenance of hygiene and quality of milk and milk products were perceived as top three favourable factors for adoption of dairy automation or machination. The high initial investment required for dairy automation, no extra milk price for hygiene and quality products through the adoption of dairy automation in the market, and high cost of equipment and less subsidy provided by the government were perceived as top three favourable factors for adoption of dairy automation or machination. The study indicated that adoption score of the respondents were not significantly correlated with age. It implies that age, education, family size land holding and experiences of dairy farming does not affect the adoption of dairy automation technologies. The additional monetary benefits apart from this economic benefit’s other benefits such as clean and hygiene milk, health care and management in economic terms were calculated about 43800, 39,600, and 64,000 per year for small, medium, and large dairy unit, respectively

scholarly journals Waste management of traditional dairy farming for alternative energy: A feasibility study on biogas processing in Dusun Banyudono, Semarang Regency, Indonesia

2021 ◽  
Vol 5 (1) ◽  
pp. 9-24
Author(s):  
Ritma Kartika Dewi ◽  
Dwi Wahyuningsih ◽  
Dwi Elita Sari ◽  
Setia Humani Jatiningrum ◽  
Widhi Handayani
Keyword(s):  
Waste Management ◽  
Feasibility Study ◽  
Alternative Energy ◽  
Farming System ◽  
Dairy Farming ◽  
Group Level ◽  
Gas Emission ◽  
Dairy Farmers ◽  
Qualitative And Quantitative ◽  
Poor Management

Dairy farming's waste contributes to greenhouse (GHG) gas emission, and its conversion into biogas is of potential benefit to reduce emission while providing alternative energy for the dairy farmers. Although biogas conversion has been conducted in Banyudono, Semarang Regency, not all dairy farmers are interested in this biogas processing, and it seems to be related to the question of the benefit they would receive. This research aims to explain the management of the waste of dairy farming in Banyudono and a feasibility study on dairy farming in Banyudono, if biogas processing is not to be included and along with biogas processing. This study combines qualitative and quantitative approaches by conducting interviews, direct observation, documentation, and a feasibility study on biogas processing. This study finds that 8,400 kg of cow manure and 4,950 liters of urine are produced every day, by only 5.76% is processed into biogas, 11.25% is processed into manure, while 82.98% of the waste is left unused. The feasibility study indicates that biogas processing tends to increase the benefit received by independent farmers instead of the member of the dairy farmer group discussed in the study. Furthermore, our study reveals issues regarding the dairy farmers' environmental awareness, poor management of biogas distribution on the farmer group level, and technology adoption problems. Finally, a model of integrated farming system is composed to address the issue of waste management in Banyudono.

Knowledge Test Development for Dairy Farmers To Measure Knowledge Level About Scientific Dairy Farming Practices

2019 ◽  
Vol 14 (04) ◽  
Author(s):  
Anupama Jena ◽  
Mahesh Chander ◽  
Sushil K. Sinha
Keyword(s):  
Item Analysis ◽  
Dairy Farming ◽  
Discrimination Index ◽  
Test Reliability ◽  
Knowledge Level ◽  
Farming Practices ◽  
Dairy Farmers ◽  
Knowledge Test ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, a test was developed to measure the knowledge level of dairy farmers about scientific dairy farming. A preliminary set of 87 knowledge items was initially administered to 60 randomly selected dairy farmers for item analysis. The difficulty index and discrimination index was found out, and the items with difficulty index ranging from 30 to 80 and the discrimination index ranging from 0.30 to 0.55 were included in the final format of the knowledge test. A total of 48 items which fulfilled both the criteria were selected for the final format of knowledge test. Reliability of the test through split half method was found out to be 0.386 and the coefficient of correlation value by the test-retest method was 0.452, which was found to be significant at 1% level of significance. Hence, the knowledge test constructed was highly stable, reliable and validated for measuring what it intends to.

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