scholarly journals Impacts of Rice-Prawn Farming System on Farm Productivity, Food Security and Poverty Alleviation in Bangladesh: A Case Study in Khulna District

2015 ◽  
Vol 12 (2) ◽  
pp. 126-136 ◽  
Author(s):  
Basanta Kumar Barmon
Keyword(s):  
Food Security ◽  
Poverty Reduction ◽  
Farming System ◽  
Calorie Intake ◽  
Modern Variety ◽  
Farm Productivity ◽  
Farm Survey ◽  
On Farm ◽  
Selection Of

The present study was undertaken to assess the impacts of rice-prawn gher (RPG) system on farm productivity, food security and poverty reduction in Bangladesh. In this study, farm survey data, extracted from a comprehensive questionnaire from two study villages viz. Bilpabla (RPG farming) and Chanchra (year-round modern variety–YRMV) located in Khulna and Jessore district, respectively were analyzed deliberately. This study consists of a random selection of ninety farmers from Bilpabla Village and one-hundred farmers from Chanchra. The study indicates that RPG farming system has significant impacts on farm productivity. On an average, yield of modern variety (MV) was reasonably higher in RPG farming system than that of YRMV farming system. In addition, the households engaged in RPG farming system (Bilpabla Village) have simultaneously generated more household income and per capita income (more than twice), relative to YRMV farming system (Chanchra Village). Moreover, the households of Bilpabla are superior to those households residing in Chanchra in terms of physical, social and economic access (purchasing power) which permits them to acquire and consume well-balanced food as well as sufficient calorie intake. Therefore, the RPG farming system had significant impacts on food security and poverty reduction.The Agriculturists 2014; 12(2) 126-136

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones

2015 ◽  
pp. 351-377 ◽  
Author(s):  
Bistok Hasiholan Simanjuntak ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo ◽  
Hindriyanto Dwi Purnomo
Keyword(s):  
Fuzzy Logic ◽  
Food Security ◽  
Agricultural Land ◽  
Farming System ◽  
Decision Makers ◽  
Land Evaluation ◽  
Ecological Zone ◽  
Ecological Zones ◽  
The Ideal

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security scenario of a region. In this chapter, the implementation of fuzzy logic for mapping the agro-ecological zone is discussed. The agro-ecological zone in Boyolali is used as case study in which the mapping considers its physiographic characteristics and climate. Two physiographic characteristics are involved: slope of the land and elevation. Rainfall is used as representative of climate. The experiment results reveal that simple membership function with the Mamdani inferences system could help decision makers to classify the agricultural land in Boyolali.

scholarly journals Farm nitrogen balances in six European agricultural landscapes – a method for farming system assessment, emission hotspot identification, and mitigation measure evaluation

2012 ◽  
Vol 9 (7) ◽  
pp. 8859-8904 ◽  
Author(s):  
T. Dalgaard ◽  
J. F. Bienkowski ◽  
A. Bleeker ◽  
J. L. Drouet ◽  
P. Durand ◽  
...  
Keyword(s):  
Large Scale ◽  
Farming System ◽  
Agricultural Landscapes ◽  
N Losses ◽  
Livestock Farms ◽  
N Management ◽  
Short Time ◽  
Measure Evaluation ◽  
On Farm

Abstract. Six agricultural landscapes in Poland (PL), the Netherlands (NL), France (FR), Italy (IT), Scotland (UK) and Denmark (DK) were studied, and a common method was developed for undertaking farm inventories and the derivation of farm nitrogen (N) balances and N surplus from the in total 222 farms and 11 440 ha of farmland. In all landscapes, a large variation in the farm N surplus was found, and thereby a large potential for reductions. The highest average N surpluses were found in the most livestock-intensive landscapes of IT, FR, and NL; on average 202 ± 28, 179 ± 63 and 178 ± 20 kg N ha−1yr−1, respectively. However, all landscapes showed hotspots, especially from livestock farms, including a special UK case with landless large-scale poultry farming. So, whereas the average N surplus from the land-based UK farms dominated by extensive sheep grazing was only 31 ± 10 kg N ha−1yr−1, the landscape average was similar to those of PL and DK (122 ± 20 and 146 ± 55 kg N ha−1yr−1, respectively) when landless poultry were included. However, the challenge remains how to account for indirect N surpluses and emissions from such farms with a large export of manure out of the landscape. We conclude that farm N balances are a useful indicator for N losses and the potential for improving N management. Significant correlations to N surplus were found, both with ammonia air concentrations and nitrate levels in soils and groundwater, measured during the landscape data collection campaign from 2007–2009. This indicates that farm N surpluses may be used as an independent dataset for validation of measured and modelled N emissions in agricultural landscapes. However, no significant correlation was found to N measured in surface waters, probably because of the short time horizon of the study. A case study of the development in N surplus from the landscape in DK from 1998–2008 showed a 22 % reduction, related to statistically significant effects (p < 0.01) of measures targeted at reducing N emissions from livestock farms. Based on the large differences between the average and the most modern and N-efficient farms, it was concluded that N-surplus reductions of 25–50 % as compared to the present level were realistic in all landscapes. The implemented N-surplus method was thus effective at comparing and synthesizing results on farm N emissions and the potentials of mitigation options, and is recommended for use in combination with other methods for the assessment of landscape N emissions and farm N efficiency, including more detailed N sink and N source hotspot mapping, measurements and modelling.

scholarly journals Marketing problems of kohlrabi, carrot and cauliflower: A case study of Lakhipur Community Development Block of Goalpara District, Assam, India

2019 ◽  
Vol 39 (1) ◽  
Author(s):  
Abdul Wakil Ali
Keyword(s):  
Food Security ◽  
Community Development ◽  
Significant Role ◽  
Vegetable Crops ◽  
Value Addition ◽  
Development Block ◽  
Employment Generation ◽  
Selection Of ◽  
Price Spread

Lakhipur Community Development block of Goalpara district of Assam has been selected for the study. The reason behind selection of the area is that Kohlrabi, Carrot and Cauliflower play a significant role in the economy of the district. Growing vegetables sector provides opportunities for employment generation, attain income and food security and increase income through value addition. However, due to the absence of efficient marketing facilities and processing units farmers do not receive remunerative prices. As most of the vegetable crops are perishable, their harvest and marketing are very crucial for boosting the development of these crops. It was observed that about 4.03 per cent of Kohlrabi, 3.57 per cent of Carrot and 3.22 per cent of Cauliflower’s scope for increasing producer’s share in consumer’s price. And also seen that absence of proper marketing facilities in the post harvest operations from the farmers to the consumers are found responsible for the wide price spread.

scholarly journals Role of social safety net programmes for ensuring food security and reducing poverty in char area of Jamalpur district in Bangladesh

2019 ◽  
Vol 30 (1) ◽  
pp. 75-85
Author(s):  
SA Badhan ◽  
S Haque ◽  
M Akteruzzaman ◽  
N Zaman ◽  
K Nahar ◽  
...  
Keyword(s):  
Food Security ◽  
Old Age ◽  
Poverty Reduction ◽  
Safety Net ◽  
Primary Data ◽  
Survey Method ◽  
Calorie Intake ◽  
Consumption Pattern ◽  
Social Safety Net ◽  
The Government

The study has been conducted to assess the social safety net programmes for ensuring food security and poverty reduction in char area of Jamalpur district, Bangladesh during the period of July-August in 2016. Survey method was used to collect primary data from Madargonj upazila of Jamalpur district. A total of 60 sample households were selected purposively for collecting data where 25 were under old age allowance, 15 were widow allowance and 20 were VGF/VGD card holders. Descriptive and tabular analysis was used to achieve the major objectives of the study. There are many Safety Net Programmes launched in the study area, like old age allowance, widow allowance, VGD/VGF, test relief, food for works and so on. The findings showed that after getting the allowance, the food consumption pattern, health, etc. are improving. Before joining SSNPs, about 77% people were food insecure but now the value is 68% and their calorie intake is 1834 kcal. The food security index became 0.79 and the food insecure household fall short of required calorie intake by 18 percent. It has been found that about 55% respondents are living below the poverty line but the joining to the SSNP, their situation is improving. Finally, it can be said that the SSNPs are much effective and could be a successful poverty alleviation strategy for the Government of Bangladesh. Progressive Agriculture 30 (1): 75-85, 2019

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones

Fuzzy Systems ◽  
2017 ◽  
pp. 782-806
Author(s):  
Bistok Hasiholan Simanjuntak ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo ◽  
Hindriyanto Dwi Purnomo
Keyword(s):  
Fuzzy Logic ◽  
Food Security ◽  
Agricultural Land ◽  
Farming System ◽  
Decision Makers ◽  
Land Evaluation ◽  
Ecological Zone ◽  
Ecological Zones ◽  
The Ideal

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security scenario of a region. In this chapter, the implementation of fuzzy logic for mapping the agro-ecological zone is discussed. The agro-ecological zone in Boyolali is used as case study in which the mapping considers its physiographic characteristics and climate. Two physiographic characteristics are involved: slope of the land and elevation. Rainfall is used as representative of climate. The experiment results reveal that simple membership function with the Mamdani inferences system could help decision makers to classify the agricultural land in Boyolali.

The Introduction of an Early Maturing Maize (Zea mays) Variety to a Mid-altitude Farming System in Ethiopia

1991 ◽  
Vol 27 (4) ◽  
pp. 375-383 ◽  
Author(s):  
Asfaw Negassa ◽  
Benti Tolessa ◽  
Steven Franzel ◽  
Gemechu Gedeno ◽  
Legesse Dadi
Keyword(s):  
Zea Mays ◽  
Farming System ◽  
Food Shortage ◽  
New Variety ◽  
Strong Interest ◽  
Maize Variety ◽  
Early Maturing ◽  
Farm Survey ◽  
On Farm

SUMMARYA farm survey conducted in Ethiopia in 1986 identified seasonal food shortage as an important problem facing farmers. The researchers proposed the development of an early maturing maize variety to alleviate the problem and by 1988, on-farm trials of a selected variety were initiated. About two-thirds of the farmers retained part of the harvested crop as seed for planting, indicating their strong interest in the variety. Farmer-designed trials were found to be especially effective for obtaining farmers' assessment of the new variety and for monitoring how they incorporated it into the farming system.Maíl con maduración temprana para Etiopía

Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans

2000 ◽  
Vol 51 (1) ◽  
pp. 1 ◽  
Author(s):  
M. J. Robertson ◽  
P. S. Carberry ◽  
M. Lucy
Keyword(s):  
Soil Water ◽  
Cropping Systems ◽  
Farming System ◽  
Research Approach ◽  
Winter Cereal ◽  
And Performance ◽  
Systems Simulation ◽  
On Farm ◽  
Winter Fallow

In the northern Australian cropping region, mungbean is commonly sown as an opportunity crop, usually on low soil water after a winter cereal, and consequently has a reputation for being a low yielding, high risk crop. Yield prospects could be improved and risks reduced if it was sown on soils with a higher soil water content, for instance in spring after a winter fallow. However, there is a lack of experience and confidence in alternative roles for mungbean in the farming system. This paper describes a research approach involving researchers, farmers, advisers, and grain traders in which on-farm monitoring of spring-sown commercial crops and cropping systems simulation with APSIM were used to explore yield prospects for a spring-sown crop after a winter fallow. The key elements of the approach are: (1) identification of possible options through simulation of scenarios, (2) testing the new practice with innovative farmers, and (3) monitoring of the management and performance of commercial crops and comparing yields with benchmarks estimated with a model. In this case, after 2 years of on-farm testing, spring-sown mungbean has been shown to have a potential for high returns in the northern cropping systems.

EXPLORATORY AGRONOMY WITHIN PARTICIPATORY VARIETAL SELECTION: THE CASE OF PEANUT IN EAST TIMOR

2012 ◽  
Vol 48 (2) ◽  
pp. 272-282 ◽  
Author(s):  
ROBERT WILLIAMS ◽  
REBECCA ANDERSEN ◽  
ARMANDINA MARCAL ◽  
LUIS PEREIRA ◽  
LUIS ALMEIDA ◽  
...  
Keyword(s):  
Seed Priming ◽  
East Timor ◽  
Participatory Varietal Selection ◽  
Local Varieties ◽  
Factors Affecting ◽  
Farm Productivity ◽  
Cropping Seasons ◽  
Yield Determinants ◽  
On Farm ◽  
Selection Of

SUMMARYWithin the context of participatory varietal selection of peanut (Arachis hypogaea L.) in East Timor, this study investigated an approach to identify yield determinants in farmer-managed varietal trials in a type of exploratory agronomy. A singular increase of 47% in peanut on-farm productivity by variety Utamua over local varieties was recorded across agro-ecologies over 616 farmer-managed trials in five cropping seasons. Utamua has larger (c. 70%) seed than local, which resulted in poor germination initially. Farmers then started seed priming, and, by the last two seasons’ trials, 50% of farmers with on-farm trials seed primed. The volume of trials allied with detailed recording of agro-ecological, household and management conditions allowed the identification of factors affecting yield, such as seeding arrangement (two seeds/hill more productive than one seed/hill) and soil pH (pH 7–8.5 more productive than lower pH), using an unbalanced ANOVA design. Farmer innovations in management could be identified within varietal trials highlighting future agronomic possibilities.

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