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 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.

scholarly journals Farmers’ livelihood through ‘one house one farm’ approach in selected areas of Mymensingh district of Bangladesh

2017 ◽  
Vol 14 (2) ◽  
pp. 90-106
Author(s):  
MT Uddin ◽  
A Jannat
Keyword(s):  
Natural Capital ◽  
Physical Capital ◽  
Primary Data ◽  
Calorie Intake ◽  
Farm Income ◽  
Matching Methods ◽  
Project Idea ◽  
Econometric Analyses ◽  
The Impact ◽  
Radius Matching

The study was attempted to analyze the impact of ‘one house one farm’ approach on farmers’ livelihood status in some selected areas of Mymensingh district. As the study was based on comparing the farmers’ livelihood, a total of 90 farmers where 45 farmers were selected randomly who were under this project and the rest of 45 farmers were selected who were not under this project from Bhabkhali, Char Nilakshmia and Char Ishwardia union under sadar upazila. The primary data were collected through direct interview method from the selected farmers using structured questionnaire. Data were analyzed with a combination of descriptive statistics and econometric analyses like logistic regression and propensity score matching methods to attain the objectives. Sex distribution, family size, training exposure and farm income have positive and significant impact on the adoption of this project. Based on Kernel and Radius matching methods, the average farm household income of the project farmer was increased by the amount of Tk. 28,561.4 to Tk. 16,445.6 per year compared to non-project farmers which is statistically significant at 1% level. Overall employment opportunities were increased by the duration of 22 to 36 man-days for the project farmers compared to non-project farmers. Daily per capita calorie intake from different food items was higher for project farmers than the non-project farmers. The access on human capital, social capital, natural capital, physical capital and financial capital for project farmers were increased by 29.5%, 25.7%, 9.0%, 18.3% and 22.3%, respectively due to the adoption of ‘one house one farm’ approach. The study also identified some problems faced by the farmers for adopting the project and probable solutions related to those problems. If these problems could be solved within a reasonable time, farmers would be more enthusiastic to adopt the project idea for earning more income which helps them to change their livelihood status ultimately.SAARC J. Agri., 14(2): 90-106 (2016)

Comparsion Of Efficency Of Cucumber Production In Poly-House

2019 ◽  
Vol 8 (9) ◽  
pp. 22-30
Author(s):  
SONIA HOODA
Keyword(s):  
Open Field ◽  
Resource Use ◽  
Secondary Data ◽  
Sampling Technique ◽  
Farming System ◽  
Primary Data ◽  
Statistical Tools ◽  
Average Percentage ◽  
Net Returns ◽  
Douglas Production Function

The study has made an attempt on resource use and economic efficiency of cucumber production under poly-house farming and open field farming. Primary data collected by using purposive sampling technique from selected districts. Sample of 50 farmers (25 Poly-house farmers and 25 Open field farmers) was taken from each district on the basis of availability. Secondary data was collected from Horticulture Department. For data analysis statistical tools average, percentage and Linear Cobb-Douglas Production Function was used. The study found that the yield of cucumber was more under poly-house farming as compare to open field farming system. The reason behind this was long harvesting period and more number of fruits per plant under poly-house farming conditions. The data specifies higher net returns per acre of cucumber under poly-house farming over open field farming, which implicit poly-house farming not only highly profitable but also economically viable as compared to open field farming in study area.

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

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 %.

Self perceived oro-facial behaviour and malocclusion among young adults in Hyderabad city

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Dasari Tejaswini ◽  
Suhas Kulkarni ◽  
Dolar Doshi ◽  
Adepu Srilatha
Keyword(s):  
Gender Differences ◽  
Young Adults ◽  
Health Knowledge ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Sampling Procedure ◽  
Cross Sectional ◽  
Significant Difference ◽  
The Face ◽  
The Impact

AbstractBackgroundAesthetic alterations in the face can be self-perceived and can affect quality of life in young adults.ObjectiveTo assess the impact of malocclusion on self- perceived oro-facial behaviour among young adults.MethodsA Cross sectional study was conducted among 638 young adults (aged 18–21 years) of Hyderabad city. One college from each of the five zones of the Hyderabad city (five colleges) were selected by simple random sampling procedure. A 21-item Oro-facial investment scale (OFIS) questionnaire assessing self-perceived oral health knowledge, attitude, practice and Dental Aesthetic Index (DAI) assessing the severity of malocclusion was used. Data were analysed with standard statistical software (SPSS, Statistical package for the social sciences, version 20.0). p < 0.05 was considered statistically significant.ResultsMales had higher mean scores for knowledge (2.90 ± 0.49) than females (2.73 ± 0.82) and was statistically significant (p = 0.002*). No statistically significant gender differences were found in relation to attitude and practice. Analysis of variance (ANOVA) showed that there was a significant difference in all the three scores (knowledge, attitude, practice) with respect to age, with significantly high score for knowledge and practice among 18 year old subjects (p = 0.0001*; p = 0.0003* respectively) and attitude among 21 year old subjects (p = 0.0049*). No statistically significant age, gender differences were found in relation to DAI scores. Upon correlation, DAI significantly and positively correlated with knowledge (p = 0.03*) and attitude (p = 0.0001*).ConclusionThis study has shown significant impact of malocclusion on the self-perceived oro-facial behaviour.

scholarly journals Organic Farming Increases the Technical Efficiency of Olive Farms in Italy

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 209
Author(s):  
Maria Raimondo ◽  
Francesco Caracciolo ◽  
Concetta Nazzaro ◽  
Giuseppe Marotta
Keyword(s):  
Organic Farming ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Farming System ◽  
Positive Role ◽  
Conventional Agriculture ◽  
Direct Sales ◽  
Organic Farming System ◽  
The Impact

While there is growing recognition of the positive role played by organic farming in the reduction of the negative externalities due to conventional agriculture, there is uncertainty about the effect of the latter on the economic performance of the farms. In this scenario, the present paper aims at investigating the effect of organic farming on technical efficiency in Italian olive farms. A cross-section dataset was analyzed through the stochastic frontier function, where the adoption of organic farming was explicitly modeled. Then, to obtain an unbiased estimate of the impact of organic farming on technical efficiency, a propensity score matching method was implemented. The findings reveal that organic farming increases technical efficiency in Italian olive farms by approximately 10%. The highest impact of organic farming is observed in small farms. As for the propensity to become organic, we found that the production and the direct sales of a higher quality of gross marketable output, as well as the intensity of labor and machines, increase the probability to adopt organic farming. Conversely, farm localization, the availability of family labor, and financial capital discourage conversion to the organic farming system.

Preventing soil degradation in shifting cultivation using integrated farming system models

2021 ◽  
Author(s):  
Dibyendu Chatterjee ◽  
Rukuosietuo Kuotsu ◽  
Sanjay Kumar Ray ◽  
M. K. Patra ◽  
A. Thirugnanavel ◽  
...  
Keyword(s):  
Shifting Cultivation ◽  
Soil Degradation ◽  
Farming System ◽  
System Models ◽  
Integrated Farming
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