Current state of and perspectives on cocoa production in Mexico

Díaz-José, Oscar; Aguilar-Ávila, Jorge; Medel, Roberto Rendón; Santoyo-Cortés, Vinicio Horacio

doi:10.4067/s0718-16202013000200004

Cited by 12 publications

(14 citation statements)

References 3 publications

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“…The joint mean of cacao yield was estimated as 380 kg ha -1 ; therefore, the estimated mean for any municipality j was 380 kg ha -1 + μoj, which is the estimated residual for municipality j ( Table 2 indicate two important findings: i) municipalities present differences in yield, which reflect the diversity of factors (climate, management practices, incidence of MO) that can affect cacao production; and ii) municipalities in Tabasco have higher estimated mean yields than those in Chiapas. This result concurs with Díaz-José et al (2013a), who used an econometric model to find that the decrease in cacao yield per unit area in Chiapas is greater than in Tabasco. Table 3 shows the results of the fixed multilevel model for variables that affect cacao yield.…”

Section: Differences In Cacao Yieldsupporting

confidence: 79%

Cacao in Mexico: restrictive factors and productivity levels

Díaz-José

Mora-Flores

et al. 2014

Chilean J. Agric. Res.

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Cacao (Theobroma cacao L.) represents one of the most important agricultural crops of the humid Mexican tropics. In the last 10 yr, approximately 23.000 t of this grain were no longer produced per cycle. The objective of this study was to identify characteristics and factors that restrict production in the states of Tabasco and Chiapas. A survey was applied to obtain information about 184 producers and their plantations by two-stage sampling. Descriptive statistics were calculated and multilevel models were adjusted to analyze the information. Results show that there are differences (P < 0.05) in cacao yield between municipalities (380 kg ha -1 + μoj is the estimated residual for each municipality). Crop productivity levels are higher in the state of Tabasco than in Chiapas (644 and 344 kg ha -1 , respectively). Incidence of frosty pod rot of cacoa, also known as moniliasis, induced by Moniliophthora roreri [(Cif) H.C. Evans, Stalpers, Samson & Benny 1978] is significantly greater (P < 0.05) in the state of Chiapas (60%) than in Tabasco (48%).Producers who carry out more crop management practices increase yields and decrease the pathogen's impact on their plantations. Results suggest the need to apply differentiated public policies to promote production within each region or municipality.

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Section: Differences In Cacao Yieldsupporting

confidence: 79%

Cacao in Mexico: restrictive factors and productivity levels

Díaz-José

Mora-Flores

et al. 2014

Chilean J. Agric. Res.

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“…A diferencia del modelado econométrico [38] y [39], el modelado con dinámica de sistemas [17] y [18], toma como base para construir el modelo la estructura del fenómeno y no principalmente las tendencias.…”

Section: Estadísticas De La Regresión Valorunclassified

Modelling and simulation of the Colombian cocoa production chain

Ballesteros

Acuña

2018

INGE CUC

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Introduction− This paper presents the results of a research project. The objective was the creation of a model and simulation of the cocoa production chain in Colombia. It was funded by the Universidad Nacional Abierta y a Distancia. Objective− The purpose of this paper is to present a simulation model of the cocoa production chain in Colombia. Methodology− For the approach to this research, authors such as Absalón Machado-who offers a theoretical framework to present the understanding of agri-food systems-, were taken into account. A systemic perspective was also implemented for the research. In fact, it was modelled using system dynamics, which is based on the notion of feedback, delays in time, the idea of accumulation and reason for change, typical of differential and integral calculation. In this way, field work was carried out in terms of direct observation of international cocoa crops and processing plants. Results− A mathematical model that recreates the behavior of the cocoa production chain was obtained and was adjusted to the behavior of the chain for the time horizon studied. The model can be used to understand the dynamics of the chain as a whole based on the flows of information and material in the system. Conclusions− It is concluded that the use of system dynamic models, which represent a productive chain, can be used to promote decision-making processes based on simulated experimentation. This allows us to gain an understanding of the dynamics of the productive chain. Furthermore, it is evident that in situ perception of the phenomena to be modelled promotes a better representation of them.

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“…Para cumplir con este reto, los productores mexicanos han tenido que modificar el sistema de producción de los cultivos, esto ha propiciado un nuevo patrón en la producción agrícola, caracterizado por un incremento en la producción de cultivos competitivos o de exportación (hortalizas y frutas) y una disminución de la superficie sembrada con granos y oleaginosas (Cruz et al, 2012). Este patrón de cambio en la producción y los efectos de la apertura comercial de México han sido analizados principalmente en los cultivos industriales y de exportación como el cacao (Díaz-José et al, 2013), azúcar (Knutson et al, 2010), cebada (Aguilar y Schwentesius, 2004), frutas y hortalizas (Cruz et al, 2012;Macías, 2010), pero en menor medida se ha enfocado en analizar y cuantificar los efectos ambientales y el cambio en el patrón de la producción de cultivos como los granos básicos.…”

Section: Introductionunclassified

Evolución y caracterización de la producción de granos básicos en México, 1980-2016

Ruiz

Rodríguez

2021

ASYD

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La política agrícola en México ha experimentado cambios que produjeron modificaciones en el sistema de producción. El objetivo de esta investigación fue cuantificar la evolución de la producción de granos básicos (maíz, frijol, trigo y arroz), y caracterizarla según el tipo de crecimiento: intensivo, extensivo o una combinación de ambos. Las series de tiempo empleadas fueron registros de superficie cosechada, rendimiento y volumen de producción obtenidas de la base de datos de SAGARPA-SIAP. Se utilizó el método propuesto por Venezian y Gamble (1969) que explica el crecimiento de la producción por rendimientos, superficie cosechada y la interacción entre ambas variables. Los resultados mostraron que la producción de maíz, frijol y trigo evolucionó por la vía intensiva, es decir, los rendimientos se incrementaron a través del tiempo; mientras que la producción de arroz descendió debido principalmente a una disminución de su superficie cosechada. Esta caracterización orienta sobre el comportamiento de la producción; sin embargo, es necesario interpretar las numerosas causas que pueden explicarlo. La determinación de las causas de las modificaciones en la producción agrícola permitirá reforzar la capacidad productiva, mediante la aplicación de un sistema integrado de prácticas de producción, uso eficiente de insumos, tecnologías y políticas públicas, a fin de que en el mediano y largo plazo se satisfagan las necesidades de la población sin comprometer los recursos naturales, la calidad del medio ambiente y lograr la seguridad alimentaria.

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Current state of and perspectives on cocoa production in Mexico

Cited by 12 publications

References 3 publications

Cacao in Mexico: restrictive factors and productivity levels

Cacao in Mexico: restrictive factors and productivity levels

Modelling and simulation of the Colombian cocoa production chain

Evolución y caracterización de la producción de granos básicos en México, 1980-2016

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