Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 503504
Title Evaluation of the environmental, economic, and social performance of soybean farming systems in southern Brazil
Author(s) Pashaei Kamali, Farahnaz; Meuwissen, Miranda P.M.; Boer, Imke J.M. de; Middelaar, Corina E. van; Moreira, Adonis; Oude Lansink, Alfons G.J.M.
Source Journal of Cleaner Production 142 (2017). - ISSN 0959-6526 - p. 385 - 394.
DOI http://dx.doi.org/10.1016/j.jclepro.2016.03.135
Department(s) Business Economics
WASS
Animal Production Systems
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2017
Keyword(s) Genetically modified - Life cycle assessment - Monte Carlo simulation - Organic - Soybean
Abstract

Soybean production has a crucial role in the development of Brazilian agriculture and recently became the most important commodity in Brazilian agribusiness. Various soybean farming systems exist, which are claimed to differ in terms of sustainability performance. In this regard, evaluation of environmental, economic, and social performance of different soybean farming systems in Brazil, by consideration of variability in input parameters, is critically needed. In this context, we evaluated a number of environmental, economic, and social issues for the two main soybean farming systems in southern Brazil, the conventional system, which produces genetically modified (GM) or non-genetically modified (non-GM) soybeans, and the organic system. Data were collected for 2012 from three sources: soybean farms in Paraná, Brazil (15 GM, 15 non-GM, and 15 organic farms), the Brazilian Enterprise for Agricultural Research (EMBRAPA), and expert elicitation. Monte Carlo simulation was used to account for the variation in input parameters. Five sustainability issues were evaluated in this study: global warming, land occupation, primary energy use, profitability, and employment. Results revealed that, compared with the GM and non-GM systems, organic systems had a higher probability (77%) to have a lower global warming potential. Land occupation was higher and energy use was lower for organic systems than for the GM and non-GM systems at every level of probability. Concerning profitability, organic systems had a higher probability (60%) to have higher profitability compared with GM and non-GM production, and employment was higher for organic systems at every level of probability. Overall, simulation results of this study illustrated the relatively high level of variation in the environmental, economic, and social performance of organic soybean farming systems. This study shows that accounting for variability in key system parameters provides not only insight in the most likely outcomes, but also in the robustness of system performance.

Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.