The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models

2007 ◽  
Vol 93 (1-3) ◽  
pp. 90-114 ◽  
Author(s):  
F. Bartolini ◽  
G.M. Bazzani ◽  
V. Gallerani ◽  
M. Raggi ◽  
D. Viaggi
Keyword(s):  
Linear Programming ◽  
Farming Systems ◽  
Programming Models ◽  
Agriculture Policy ◽  
Farm Level ◽  
On Farm ◽  
The Impact ◽  
Policy Scenarios

scholarly journals Revisiting the Impact of Bt Corn Adoption by U.S. Farmers

2012 ◽  
Vol 41 (3) ◽  
pp. 377-390 ◽  
Author(s):  
Jorge Fernandez-Cornejo ◽  
Seth Wechsler
Keyword(s):  
Regression Analysis ◽  
Survey Data ◽  
Econometric Model ◽  
Bt Corn ◽  
Insect Infestation ◽  
Farm Level ◽  
Self Selection ◽  
On Farm ◽  
The Impact

This study examines the impact of adopting Bt corn on farm profits, yields, and insecticide use. The study employs an econometric model that corrects for self-selection and simultaneity. The model is estimated using nationwide farm-level survey data for 2005. Regression analysis confirms that Bt adoption is associated with increased variable profits, yields, and seed demand. However, the results of this analysis suggest that Bt adoption is not significantly related to insecticide use. This result may be due to the fact that insect infestation levels were lower in 2005 than they were in previous years.

scholarly journals Application of zai and rock bunds in the northwest region of Burkina Faso: study of its impact on household level by using a stochastic linear programming model

1998 ◽  
Vol 46 (1) ◽  
pp. 123-136
Author(s):  
A. Maatman ◽  
H. Sawadogo ◽  
C. Schweigman ◽  
A. Ouedraogo
Keyword(s):  
Linear Programming ◽  
Soil Fertility ◽  
Burkina Faso ◽  
Programming Model ◽  
Water Infiltration ◽  
Linear Programming Model ◽  
Sequential Decision ◽  
Stochastic Linear Programming ◽  
Farm Level ◽  
The Impact

Agricultural production in the NW Burkina Faso is seriously endangered by soil erosion and an overall decline in soil fertility. In the past 15 years various anti-erosion methods have been adopted in this region with some success. The widespread promotion of rock bunds is an important example. Land conservation methods alone without increased efforts to maintain (or to increase) soil fertility levels does not suffice in the long run. The potential impact of a combination of rock bunds and zai, a local technology to improve water infiltration and efficiency of manure application, was investigated. The analysis is carried out at farm level with a stochastic linear programming model. It includes sequential decision making to cope with rainfall risks. The study shows the important potential of rock bunds and application of zai, and limitations due to labour and manure constraints. The techniques are largely applied on common fields. Changes in labour organization and use of manure have to be introduced before women may profit from these techniques on their individual fields. The results show that the impact on farm-level food security is more limited than is sometimes supposed on the basis of a simple extrapolation of plot-level results.

The Impact of Regular Research Field Hearings (RRFH) in On-farm Trials in Northeast Brazil

1988 ◽  
Vol 24 (3) ◽  
pp. 281-288 ◽  
Author(s):  
Greg Baker ◽  
Hendrik C. Knipscheer ◽  
Jose De Souza Neto
Keyword(s):  
Agricultural Research ◽  
Farming Systems ◽  
Research Field ◽  
Performance Criteria ◽  
Northeast Brazil ◽  
Test Results ◽  
Systems Research ◽  
On Farm ◽  
The Impact ◽  
Farming Systems Research

SUMMARYThe study of livestock in farming systems research presents several challenges. Factors such as the small number of observations, high statistical variability in measurements, and the difficulty in valuing non-market inputs and outputs make it difficult to evaluate on-farm research. Regular Research Field Hearings (RRFH) can improve communication between scientists and farmers, thereby increasing mutual understanding, willingness to collaborate in evaluation, potential technologies, and also improving test results. Of three groups of sheep and goat farmers involved in on-farm testing in northeast Brazil, the group which participated in RRFH experienced a significantly higher level of success with the technology as measured according to performance criteria such as weight gains and farmers' perceptions of their animals' performance. The results confirm the importance of farmers' participation in agricultural research.

Multivariate classification of farming systems for use in integrated pest management studies

1999 ◽  
Vol 79 (4) ◽  
pp. 647-654 ◽  
Author(s):  
J. Y. Leeson ◽  
J. W. Sheard ◽  
A. G. Thomas
Keyword(s):  
Management Practices ◽  
Farming Systems ◽  
Minimum Variance ◽  
Farm Management ◽  
Management Systems ◽  
Multivariate Techniques ◽  
Organic Systems ◽  
On Farm ◽  
The Impact

On-farm studies provide a realistic setting to examine the impact of interactions of management practices on weed communities within various farming systems. Clustering farm units into groups that use similar management practices enables the replication of farm management systems within on-farm studies. The goal of this study is to objectively classify farm units into management systems on the basis of quantitative variables describing aspects of cropping history and chemical input levels using multivariate techniques. Twenty-eight Saskatchewan farmers provided details of their management practices from 1990 to 1997 through a series of questionnaires. Twelve variables derived from the questionnaires were used to describe cropping history, pesticide, tillage and fertilizer use on each farm unit. These variables were used to cluster farm units using minimum variance classification and NMS ordination. Both techniques identified seven farm management systems. The greatest differences were observed between organic and non-organic systems. Farm management systems that used annual fallow and continuous annual cropping histories were most similar. The consistent results obtained by use of the two unrelated methodologies indicate the utility of this approach for the classification of farm management systems. Key words: Farm management system, classification, cropping history, chemical input level, on-farm

Explaining the impact of agroecology on farm-level transitions to food security in Malawi

Food Security ◽  
2021 ◽  
Author(s):  
Sidney Madsen ◽  
Rachel Bezner Kerr ◽  
Noelle LaDue ◽  
Isaac Luginaah ◽  
Chipiliro Dzanja ◽  
...  
Keyword(s):  
Food Security ◽  
Farm Level ◽  
On Farm ◽  
The Impact

Farming systems methodology for efficient resource management at the farm level: a review from an Indian perspective

2008 ◽  
Vol 146 (5) ◽  
pp. 493-505 ◽  
Author(s):  
U. K. BEHERA ◽  
C. M. YATES ◽  
E. KEBREAB ◽  
J. FRANCE
Keyword(s):  
Linear Programming ◽  
Resource Use ◽  
Farming Systems ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Farm Level ◽  
Integrated Farming ◽  
Use Efficiency ◽  
Large Farms ◽  
Integrated Farming Systems

SUMMARYFarming systems research is a multi-disciplinary holistic approach to solve the problems of small farms. Small and marginal farmers are the core of the Indian rural economy constituting 0·80 of the total farming community but possessing only 0·36 of the total operational land. The declining trend of per capita land availability poses a serious challenge to the sustainability and profitability of farming. Under such conditions, it is appropriate to integrate land-based enterprises such as dairy, fishery, poultry, duckery, apiary, field and horticultural cropping within the farm, with the objective of generating adequate income and employment for these small and marginal farmers under a set of farm constraints and varying levels of resource availability and opportunity. The integration of different farm enterprises can be achieved with the help of a linear programming model. For the current review, integrated farming systems models were developed, by way of illustration, for the marginal, small, medium and large farms of eastern India using linear programming. Risk analyses were carried out for different levels of income and enterprise combinations. The fishery enterprise was shown to be less risk-prone whereas the crop enterprise involved greater risk. In general, the degree of risk increased with the increasing level of income. With increase in farm income and risk level, the resource use efficiency increased. Medium and large farms proved to be more profitable than small and marginal farms with higher level of resource use efficiency and return per Indian rupee (Rs) invested. Among the different enterprises of integrated farming systems, a chain of interaction and resource flow was observed. In order to make farming profitable and improve resource use efficiency at the farm level, the synergy among interacting components of farming systems should be exploited. In the process of technology generation, transfer and other developmental efforts at the farm level (contrary to the discipline and commodity-based approaches which have a tendency to be piecemeal and in isolation), it is desirable to place a whole-farm scenario before the farmers to enhance their farm income, thereby motivating them towards more efficient and sustainable farming.

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