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A decision support system for smallholder campesino maize-cattle production systems of the Toluca Valley in Central Mexico. Part I- Integrating biological and socio-economic models into a holistic system

By: Castelan-Ortega, O.A.
Contributor(s): Arriaga-Jordan, C [coaut.] | Fawcett, R.H [coaut.] | Herrero, M.
Material type: materialTypeLabelArticlePublisher: 2003ISSN: No (Revista en electrónico); 0308-521X.Subject(s): Biological simulation models | Campesino farmers | Decision support systems | Socio-economic simulation models In: Agricultural Systems v. 75, no. 1, p. 1-21Summary: The objective of this work was to develop a Decision-Support System (DSS) in order to support the decision making process by campesino farmers of Central Mexico. Two biological models, one socio-economic model and a survey database form the DSS. The CERES-Maize model simulated the yield response of three local land-races of maize to different management systems. The second biological model, a cow model (dynamic hybrid model), was used to simulate alternative feeding systems. A multi-period mathematical programming model integrated the outputs of the previous models with the survey database. This model was used to find the optimal combination of resources and technologies that maximised farmers? income. This model consists of 15,698 structural columns and 612 rows. The DSS successfully reproduced the functioning of the farming system's main components. More importantly, it simulated the complex interactions observed between the farmers and their crops and cattle, including traditional maize management practices.Collection: Reprints Collection
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Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

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Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0308-521X

The objective of this work was to develop a Decision-Support System (DSS) in order to support the decision making process by campesino farmers of Central Mexico. Two biological models, one socio-economic model and a survey database form the DSS. The CERES-Maize model simulated the yield response of three local land-races of maize to different management systems. The second biological model, a cow model (dynamic hybrid model), was used to simulate alternative feeding systems. A multi-period mathematical programming model integrated the outputs of the previous models with the survey database. This model was used to find the optimal combination of resources and technologies that maximised farmers? income. This model consists of 15,698 structural columns and 612 rows. The DSS successfully reproduced the functioning of the farming system's main components. More importantly, it simulated the complex interactions observed between the farmers and their crops and cattle, including traditional maize management practices.

English

Carelia Juarez

Reprints Collection

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