Roles of horses on farm sustainability in different French grassland regions

2015 ◽  
pp. 177-186 ◽  
Author(s):  
G. Bigot ◽  
S. Mugnier ◽  
G. Brétière ◽  
C. Gaillard ◽  
S. Ingrand
Keyword(s):  
Farm Sustainability ◽  
On Farm

scholarly journals Developing farm-level sustainability indicators for Ireland using the Teagasc National Farm Survey

2016 ◽  
Vol 55 (2) ◽  
pp. 112-125 ◽  
Author(s):  
M. Ryan ◽  
T. Hennessy ◽  
C. Buckley ◽  
E.J. Dillon ◽  
T. Donnellan ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Production Systems ◽  
Social Indicators ◽  
Dairy Farms ◽  
Strongly Correlated ◽  
Farm Level ◽  
Farm Systems ◽  
Farm Survey ◽  
Farm Sustainability ◽  
On Farm

Abstract In the context of an expanding, export-dependent agri-food sector, indicators of sustainable development and intensification are necessary to measure, assess and verify the comparative advantage afforded by Ireland’s natural pastoral-based food production systems. Such indicators are also necessary to ensure that we produce more food with less adverse impacts on the Irish environment, climate and society. This article outlines the development of farm-level indicators that refect the multifaceted nature of sustainability, which is encompassed in economic, environmental and social indicators. The role of innovation in farm sustainability was also examined. A comparison of indicators across Irish farm systems showed that dairy farms, followed by tillage farms, tended to be the most economically and socially sustainable farm systems. In relation to greenhouse gas emissions in particular, the top-performing dairy farms, in an economic sense, also tended to be the best-performing farms from an environmental sustainability perspective. This trend was also evident in relation to the adoption of innovative practices on farm, which was found to be strongly correlated with economic performance.

scholarly journals “Unable to Determine”: Limits to Metrical Governance in Agricultural Supply chains

2019 ◽  
Vol 45 (4) ◽  
pp. 738-760 ◽  
Author(s):  
Susanne Freidberg
Keyword(s):  
Supply Chains ◽  
Food Industry ◽  
Raw Materials ◽  
Farm Sustainability ◽  
On Farm ◽  
Do So ◽  
Agricultural Supply

Metrics have long served as tools for governing at a distance. In the food industry, major manufacturers have embraced metrics as tools to govern the sustainability of the farms producing their commodity raw materials. This metrical turn has been influenced but also complicated by agricultural datafication, that is, the increasing quantities of data generated on and about farms. Despite the sheer abundance of data that companies might use to measure and drive improvement in on-farm sustainability, they have struggled to collect data suitable for such purposes. Attention to the different kinds of distance and diversity across which metrics are supposed to govern suggests reasons why they may fail to do so, even when wielded by otherwise powerful corporations.

scholarly journals Does Participation in Agricultural Cooperatives Affect Farm Sustainability? Empirical Evidence from Taiwan

2019 ◽  
Vol 11 (18) ◽  
pp. 4987 ◽  
Author(s):  
Bo Wang ◽  
Po-Yuan Cheng ◽  
Brian Lee ◽  
Lih-Chyun Sun ◽  
Hung-Hao Chang
Keyword(s):  
Farm Households ◽  
Agricultural Cooperatives ◽  
Food Labels ◽  
Potential Mechanism ◽  
Farm Production ◽  
Causal Mediation Analysis ◽  
Nationally Representative ◽  
Farm Sustainability ◽  
On Farm ◽  
The Impact

Recent research has highlighted the importance of agricultural cooperatives on farm production. Although the consensus from the literature suggests that participating in these organizations significantly affects farm production, there is inconclusive evidence on whether this effect is positive or negative. Moreover, previous studies solely focus on the magnitude of this effect and fail to explain the mechanism behind it. This study contributes to this knowledge gap by estimating the impact of agricultural cooperatives on farm profits. To do this, we apply the causal mediation analysis to explain the potential mechanism behind this relationship. Using a nationally representative survey of farm households from Taiwan in 2013, we find that participating in cooperatives increases farm profits. Furthermore, this effect is more pronounced for producers with higher profits. Concerning the mechanism, we find that the use of food labels accounts for approximately 15 to 28% of the total effect of cooperative participation on farm profits.

Determinants of Sustainability of a Colombian Hillside Farm

1997 ◽  
Vol 33 (4) ◽  
pp. 425-448 ◽  
Author(s):  
J. W. HANSEN ◽  
E. B. KNAPP ◽  
J. W. JONES
Keyword(s):  
Cropping System ◽  
Economic Factors ◽  
Price Variability ◽  
Crop Models ◽  
Farm Model ◽  
Farm Sustainability ◽  
Spatial Diversification ◽  
Systems Simulation ◽  
On Farm ◽  
Process Level

This study applies systems simulation to characterize determinants of sustainability of a hillside farm in the upper Cauca River watershed of Colombia. A farm model linked to process-level crop models was used to simulate a set of farm scenarios. Susta inability, expressed as the probability of farm continuation, was estimated for each scenario based on replicated simulation with stochastic weather and price inputs. Hypotheses about determinants of sustainability were tested by sensitivity analysis. Res ults identify cropping system, area under cultivation, consumption requirements and crop prices as important determinants of sustainability. The study highlights the impacts of price variability and spatial diversification on farm risk and the results sug gest ways to enhance the sustainability of the farm. The methodology was useful for integrating the diverse biophysical and economic factors that affect farm sustainability.

scholarly journals Can the Adoption of Protected Cultivation Facilities Affect Farm Sustainability?

2020 ◽  
Vol 12 (23) ◽  
pp. 9970
Author(s):  
Pei-An Liao ◽  
Jhih-Yun Liu ◽  
Lih-Chyun Sun ◽  
Hung-Hao Chang
Keyword(s):  
Inverse Probability Weighting ◽  
Population Based ◽  
Small Scale ◽  
Farm Labor ◽  
Probability Weighting ◽  
Inverse Probability ◽  
Protected Cultivation ◽  
Farm Profit ◽  
Farm Sustainability ◽  
On Farm

Given the increasing threat of climate change to agriculture, determining how to achieve farm sustainability is important for researchers and policy makers. Among others, protected cultivation has been proposed as a possible adaptive solution at the farm level. This study contributes to this research topic by quantifying the effects of the use of protected cultivation facilities on farm sustainability. In contrast to previous studies that relied on small-scale random surveys, a population-based sample of fruit, flower and vegetable farms was drawn from the Agricultural Census Survey in Taiwan. Propensity score matching, inverse probability weighting and inverse probability weighting regression adjustment methods were applied. Empirical results show that the use of protected cultivation facilities increases farm profit by 68–73%, other things being equal. This finding is persistent when farms suffer from disaster shocks. Moreover, the changes in farm labor use can be seen as a mechanism behind the positive effect of the protected cultivation facility use on farm profit. Our findings suggest that agricultural authority can consider subsidizing farms to increase the adoption of protected cultivation facilities to mitigate the risks resulting from natural disaster shocks.

On-farm udder health monitoring

2011 ◽  
Vol 39 (02) ◽  
pp. 95-100
Author(s):  
J. C. van Veersen ◽  
O. Sampimon ◽  
R. G. Olde Riekerink ◽  
T. J. G. Lam
Keyword(s):  
Management Practices ◽  
Health Management ◽  
Action Plan ◽  
Real Life ◽  
Health Data ◽  
Control Points ◽  
Udder Health ◽  
Critical Control Points ◽  
On Farm ◽  
Clinical Problems

SummaryIn this article an on-farm monitoring approach on udder health is presented. Monitoring of udder health consists of regular collection and analysis of data and of the regular evaluation of management practices. The ultimate goal is to manage critical control points in udder health management, such as hygiene, body condition, teat ends and treatments, in such a way that results (udder health parameters) are always optimal. Mastitis, however, is a multifactorial disease, and in real life it is not possible to fully prevent all mastitis problems. Therefore udder health data are also monitored with the goal to pick up deviations before they lead to (clinical) problems. By quantifying udder health data and management, a farm is approached as a business, with much attention for efficiency, thought over processes, clear agreements and goals, and including evaluation of processes and results. The whole approach starts with setting SMART (Specific, Measurable, Acceptable, Realistic, Time-bound) goals, followed by an action plan to realize these goals.

2012–2016 On-Farm Evaluation of Fungicide Programs for Peanut Disease Control in Hamilton County, Florida

EDIS ◽  
2017 ◽  
Vol 2017 (4) ◽  
Author(s):  
Keith W. Wynn ◽  
Nicholas S. Dufault ◽  
Rebecca L. Barocco
Keyword(s):  
Plant Pathology ◽  
Disease Control ◽  
Leaf Spot ◽  
Fungal Disease ◽  
White Mold ◽  
Stem Rot ◽  
Late Leaf Spot ◽  
Fact Sheet ◽  
On Farm ◽  
Hamilton County

This ten-page fact sheet includes a summary of various fungicide spray programs for fungal disease control of early leaf spot, late leaf spot, and white mold/stem rot of peanut in 2012-2016 on-farm trials in Hamilton County. Written by K.W. Wynn, N.S. Dufault, and R.L. Barocco and published by the Plant Pathology Department.http://edis.ifas.ufl.edu/pp334

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