scholarly journals Study the Impact of Integrated Farming System on Reducing Cost of Cultivation and Increasing Income of Farmers in Chatra District of Jharkhand

2019 ◽  
pp. 1-7
Author(s):  
Pushpendra Saroj ◽  
Ranjay Kumar Singh ◽  
Dharma Oraon ◽  
Zunaid Alam
Keyword(s):  
Dairy Farm ◽  
Fish Farming ◽  
Farming System ◽  
External Input ◽  
Net Income ◽  
Technological Support ◽  
Integrated Farming ◽  
Fertilizer Requirement ◽  
Pig Farm ◽  
The Impact

The study was conducted on purposively selected Mardanpur village of Chatra block in Chatra district where Sri. Danbhushan Lakra, Progressive farmer has developed a unique model of integrated farming system (IFS) in his 5 acres of the farm. He has designed the farm and segregated the land as per the crops and animal requirement. The IFS model comprised of field crops in 2 acres, vegetables in 1 acre, fruit plants in 0.5 acres, a pig farm in 0.25 acre, a dairy farm in 0.25 acre, Poultry in 0.25 acre, composite fish farming in 0.75 acres. Sri Danbhushan Lakra has adopted the best practices of farming under technological support of Krishi Vigyan Kendra, Chatra. The productivity and economic return of different enterprises and commodities were calculated and compared with previous productivity and economics. The result indicated that Sri. Danbhushan Lakra has got more than 80 per cent additional yield and profit on different enterprises, which are integrated into the farming system. He has reduced 60% external input like the feed of animal, chemical fertilizer requirement, overall he earns the annual net income Rs. 94430.75 that is 68.6% more as compared to his previous income. It happens due to the interrelation set of enterprises used so that the waste from one component became input for another part of the system, which reduced cost and increased productivity.

Enhancement in productivity and income sustainability through Integrated farming system approaches for small and marginal farmers of Eastern India

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
SANJEEV KUMAR ◽  
SHIVANI . ◽  
S. K. SAMAL ◽  
S. K. DWIVEDI ◽  
MANIBHUSHAN .
Keyword(s):  
Nutrient Recycling ◽  
Farming Systems ◽  
Fruit Trees ◽  
Farming System ◽  
Eastern Region ◽  
Net Income ◽  
System Productivity ◽  
Integrated Farming ◽  
Systems Models ◽  
The Cost

Integration of different components viz. livestock, fishery, horticulture, mushroom etc. along with field crops not only enhanced productivity but by-products (waste) of one component act as input for another component through resource recycling within the system. Six integrated farming systems models with suitable combinations of Crop, vegetables, fruit trees, fish, livestock, mushroom etc. were made and evaluated at the experimental farm of ICAR Research Complex for Eastern Region, Patna during 2012-16 for harness maximum income, nutrient recycling and employment. Among six combinations, crop + fish + duck + goat resulted as most profitable combination in terms of productivity (RGEY- 22.2t), net income (Rs. 2,15,900/ha), additional employment (170 days/year) with income sustainability index (ISI) by 90.2. Upon nutrient recycling prepared from different wastes from the system Crop + fish + duck + goat combination added N (56.5 kg), P (39.6 kg) and K (42.7 kg) into the soil and reduced the cost of cultivation by 24 percent and was followed by crop + fish + goat combination. Crops grown under IFS mode with different types of manures produced 31 percent higher yield over conventional rice- wheat system. The contribution of crops towards the system productivity ranged from 36.4 to 56.2 %, while fish ranged from 22.0-33.5 %; for goat 25.4-32.9 %; for poultry 38.7 %; for duck 22.0-29.0 %; for cattle 32.2% and for mushroom 10.3 %.

scholarly journals Integrated farming and its impact on farmers’ livelihood in Bangladesh

2016 ◽  
Vol 13 (2) ◽  
pp. 61-79 ◽  
Author(s):  
MT Uddin ◽  
MA Khan ◽  
MM Islam
Keyword(s):  
Farming System ◽  
Sampling Procedure ◽  
Calorie Intake ◽  
Average Percentage ◽  
Mixed Farming ◽  
Integrated Farming ◽  
Two Stages ◽  
Socioeconomic Data ◽  
The Impact ◽  
Radius Matching

The study was conducted to identify the present status of integrated farming and its impacts on farmers’ livelihood in comparison to mixed farming. Following two stages sampling procedure, a total of 420 farmers (210 for integrated farming and 210 for mixed farming) were selected from seven study areas of six districts on the basis of having intervention from different NARS institutes and without having any intervention from any organization. Descriptive statistics like sum, average, percentage, etc. were derived and calculated for analyzing the socioeconomic data. Propensity score matching (PSM) were applied with Kernel matching and Radius matching methods to evaluate the impact of integrated farming on farmers’ employment creation and income generation. The highest employment duration for male was 152.5 man-days/year for the farming system C-L-P-F-H under integrated farms and for mixed farms, it was 104.5 man-days/year. The average total income of the integrated farms was Tk. 124839 and for mixed farms, it was Tk. 99641. Average calorie intake of food secure households was 2927.83 kcal and 2839.14 kcal for integrated farming and mixed farming which is higher than the national average calorie intake (i.e., 2122 kcal). To assess the livelihood pattern through asset pentagon approach, noteworthy improvement was found based on different capitals of farm households practicing integrated farming in comparison to mixed farming. Finally, based on different problems, a constraint facing index was calculated in order to suggest policy recommendations.SAARC J. Agri., 13(2): 61-79 (2015)

scholarly journals Comparative economic analysis of fish cum pig and fish cum dairy integrated farming systems

2021 ◽  
Vol 17 (2) ◽  
pp. 204-208
Author(s):  
Jharna Choudhury ◽  
Dipanjan Kashyap ◽  
P. L. Kikon ◽  
Rajkumari R. Devi ◽  
H. Aisolia Devi
Keyword(s):  
Economic Analysis ◽  
Farming Systems ◽  
Fish Farming ◽  
Dairy Farming ◽  
Net Income ◽  
Livestock Farming ◽  
Integration Model ◽  
Integrated Farming ◽  
Pig Farming ◽  
Integrated Farming Systems

Integrated fish farming is a system of producing fish in combination with other agricultural/livestock farming operations centered around the fish pond. The study was conducted in Kalong-Kapili NGO of Kamrup (Metro) district of Assam with the objectives of evaluating the cost and return aspects of fish cum pig and fish cum dairy farming systems and identifying the more profitable integration model which gives optimum utilization of given resources. A total of 44 farmers comprising of 24 fish cum pig farmers and 20 fish cum dairy farmers were randomly selected for data collection. Based on data collected, economic analysis of the integrated farming systems were done by using various cost and return concepts. Total operational cost (Cost C) in fish cum pig farming (Rs. 554832.18) was found lower than fish cum dairy farming (Rs. 632267.66). Net income (Rs. 787609.42) and benefitcost ratio (2.42) were found higher in fish-pig integration, which clearly states that integrated fish cum pig farming is more profitable than integrated fish cum dairy farming.

scholarly journals The Role of Anaerobic Digestion in Reducing Dairy Farm Greenhouse Gas Emissions

2021 ◽  
Vol 13 (5) ◽  
pp. 2612
Author(s):  
Alun Scott ◽  
Richard Blanchard
Keyword(s):  
Anaerobic Digestion ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Dairy Farm ◽  
Farming Systems ◽  
Farming System ◽  
N2o Emissions ◽  
Ghg Reduction ◽  
Carbon Dioxide Co2 ◽  
The Impact

Greenhouse gas (GHG) emissions from dairy farms are significant contributors to global warming. However, much of the published work on GHG reduction is focused on either methane (CH4) or nitrous oxide (N2O), with few, if any, considering the interactions that changes to farming systems can have on both gases. This paper takes the raw data from a year of activity on a 300-cow commercial dairy farm in Northern Ireland to more accurately quantify GHG sources by use of a simple predictive model based on IPCC methodology. Differing herd management policies are examined together with the impact of integrating anaerobic digestion (AD) into each farming system. Whilst significant success can be predicted in capturing CH4 and carbon dioxide (CO2) as biogas and preventing N2O emissions, gains made can be lost in a subsequent process, negating some or all of the advantage. The process of extracting value from the captured resource is discussed in light of current farm parameters together with indications of other potential revenue streams. However, this study has concluded that despite the significant potential for GHG reduction, there is little incentive for widespread adoption of manure-based farm-scale AD in the UK at this time.

scholarly journals Evaluation of Integrated Farming System Model for Small and Marginal Farmers of Telangana State

2020 ◽  
pp. 126-134
Author(s):  
M. Goverdhan ◽  
Ch. Pragathi Kumari ◽  
S. Sridevi ◽  
M. V. Ramana ◽  
K. Suresh
Keyword(s):  
Farming Systems ◽  
Farming System ◽  
Soil Productivity ◽  
Cash Income ◽  
Rice Grain ◽  
Net Income ◽  
Net Returns ◽  
Systems Model ◽  
Integrated Farming ◽  
Total Productivity

The study was conducted to develop Integrated Farming Systems (IFS) model for limited irrigation situation. The land was earmarked for developing 1 ha. land for marginal/small farmers with crops, horticulture, fodders and animal components. This system resulted in total productivity of 41.4 t ha-1 yr-1 Rice Grain equivalent Yield (RGEY) along with employment generation of 830 man days. The net returns from 1 ha of crop + livestock (dairy and goat) + horticulture farming systems model was Rs. 2,17,336/-. Of this total net income, crop component including fodder comprised 27.74%, horticulture component comprised 4.41% and livestock unit shared 67.85%. Besides cash income, IFS generated employment for family labour. Recycling of bi-products from the livestock unit, sustains soil productivity.

scholarly journals Evaluation of Integrated Farming System Model for Resource Recycling and Livelihood Security of Small and Marginal Farmers of Telangana State, India

2020 ◽  
pp. 17-26
Author(s):  
M. Goverdhan ◽  
Ch. Pragathi Kumari ◽  
G. Kiran Reddy ◽  
S. Sridevi ◽  
M. D. Alibaba ◽  
...  
Keyword(s):  
Crop Residues ◽  
Farming System ◽  
Cost Ratio ◽  
Net Income ◽  
Benefit Cost Ratio ◽  
Integrated Farming ◽  
Telangana State ◽  
Vegetable Milk ◽  
Operational Expenditure ◽  
Benefit Cost

Integrated farming system (IFS) model comprising the components like crop, horticulture, diary, sheep and poultry rearing was undertaken at All India Coordinated Project on Integrated farming system, PJTSAU, Rajendranagar, Hyderabad from 2010-11 onwards. Holistic integration of animals with crops in 1 ha area resulted in a total productivity of 36.4 t REY ha-1 with the benefit cost ratio of 0.85 and net income of Rs.2,97,770/- with the total operational expenditure of Rs.3,48,796/- compared to that of an average farmers’ net income of Rs. 52,000 in Southern Telangana Zone of Telangana state in addition to generation of 602 man days of employment in the system. Out of this total net income, 54.02% returns from crop component including fodder, 10.43% returns from horticulture component and 31.9% from livestock unit, were recorded in the present model of Crop-Livestock-Horticulture along with production of diverse needs of farm family viz., cereals, pulses, oil seeds, fruits, vegetable, milk, meat and fodder for cattle. Through residue recycling and manure production 11.47 t of FYM, 70 kg of LPG equivalent gas and 1.81 t of biogas slurry were generated  which is equal to 91-42-75 kg of N, P and K and saved worth of Rs 12133/-. Continuous use of crop residues and manures through residue recycling over these years helped improving the soil fertility of the unit with perceptible improvement in organic carbon from an initial status of 0.35% in ID block to 0.53%.  Integrated farming system approach recorded 37.7 and 52.2 per cent higher productivity and profitability, respectively over conventional rice-groundnut system.

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.

Greenhouse gas emission from integrated farming system models : A comparative study

Green Farming ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 696
Author(s):  
MEERA A.V. ◽  
JOHN J. ◽  
SUDHA B. ◽  
SAJEENA A. ◽  
JACOB D. ◽  
...  
Keyword(s):  
Comparative Study ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Farming System ◽  
Gas Emission ◽  
System Models ◽  
Integrated Farming
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