Exploring agricultural production systems and their fundamental components with system dynamics modelling

Walters, Jeffrey P.; Archer, David W.; Sassenrath, Gretchen F.; Hendrickson, John; Hanson, Jon D.; Halloran, John M.; Vadas, Peter; Alarcon, Vladimir J.

doi:10.1016/j.ecolmodel.2016.04.015

Cited by 154 publications

(110 citation statements)

References 24 publications

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“…Nevertheless, improving the use of fertilizer components by several percent proves profitable on a global scale [15,16]. The effect of optimizing plant fertilization is the production of high quality food, in terms of chemical composition and technological parameters [17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Efficiency of Nitrogen Slow-Release Fertilizers in Integrated Production of Carrot Depending on Fertilization Strategy

et al. 2020

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Optimization of plant nutrition is a very important part of primary production quality systems. Crop fertilization is the most important agrotechnical measure because it determines the amount and quality of the yield. Moreover, excess fertilization intensifies the eutrophication processes and the greenhouse effect. The study aimed to assess the suitability of slow-release fertilizers in cultivation of carrot subspecies Daucus carota L. ssp. sativus in the integrated production system. The objective was realized on the basis of a strict field experiment set up on a clay loam soil with low nutrient content. The dose of fertilizer was the experimental factor. The fertilizers were applied during the formation of the ridges. Traditional fertilizers (ammonium phosphate, potassium salt, ammonium nitrate, and a multi-component fertilizer Polifoska 6), as well as a multi-component fertilizer with slow release of nutrients, NPK Mg (18-12-24-4), were used. In individual variants of the experiment, different fertilization strategies were applied: integrated production fertilization, traditional fertilization, and fertilization based on the use of slow-release fertilizers. The control treatment comprised of unfertilized plants. The efficiency of nitrogen fertilization was evaluated based on agronomic efficiency, partial factor productivity, physiological efficiency, and removal efficiency. Fertilization strategy significantly impacted the quantity of obtained yield. In the control sample, prior to mineral fertilization, the crop yield was 33.53 Mg·ha −1 . The largest yield was 82.30 Mg·ha −1 .The largest yields were obtained from plants fertilized with a combination of slow-release fertilizers, with nitrogen introduced in the form of ammonium phosphate, and through conventional fertilization. The highest productivity and environmental efficiency were obtained in treatments with fertilization according to the principles of integrated production and with slow-release fertilizers. In terms of environmental efficiency, the best results were obtained through nitrogen fertilization using 400 kg of slow-release fertilizers. The use of slow-release fertilizers in carrot cultivation can significantly improve the efficiency of fertilization, both in terms of production and environmental protection.

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Section: Introductionmentioning

confidence: 99%

Assessment of the Efficiency of Nitrogen Slow-Release Fertilizers in Integrated Production of Carrot Depending on Fertilization Strategy

et al. 2020

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“…Many system dynamics models of agricultural systems focus on understanding how different policy decisions impact the sustainability [9][10][11] or resilience [12] of agricultural systems. This paper develops a system dynamics model of a key portion of the Ugandan market system to investigate how different intervention policies impact one key system outcome: the availability and usage of quality seed.…”

Section: Background and Related Literaturementioning

confidence: 99%

A System Dynamics Model of the Adoption of Improved Agricultural Inputs in Uganda, with Insights for Systems Approaches to Development

Reinker

Gralla

2018

Systems

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Abstract:Designing international development projects is challenging because the complexity of the systems on which they act makes it difficult to identify the best leverage points for intervention. This paper seeks to identify the best combinations of interventions to increase the availability of and demand for quality seeds in Uganda and similar markets. A system dynamics model simulates the current dynamics in Ugandan seed markets based on data gathered by ongoing development projects. The findings show that one intervention is critical to enabling growth-investing in a system for verifying the quality of seeds-and that a combination of quality verification with education-oriented interventions is more powerful than quality verification alone. The results have implications for systems approaches to development: they suggest that a combination of interventions in different parts of the value chain enables larger changes than any single intervention alone.

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“…SD has been generally recognized as a powerful system simulation methodology for describing, visualizing, and analyzing complex dynamic system issues with non-linear relationships, causal loops, information feedback, and time delays, which improves the understanding of dynamic behavior of systems over time [7,[38][39][40]]. An SD model can be used to qualitatively analyze the inner causal relationship among the factors in a system by developing causal loop diagrams that represent dynamic factor interaction and to quantitatively analyze the structure of the information feedback system and the dynamic relationship between function and behavior by stock-flow modeling and computer simulation [40]. So, SD modeling can act as a "policy laboratory" that allows decision makers to simulate and test possible different policies, the results of which can enable them to improve their decisions in terms of both efficiency and results [41].…”

Section: Literature Reviewsmentioning

confidence: 99%

Can China Achieve its CO2 Emission Mitigation Target in 2030: a System Dynamics Perspective

Zhang¹,

Jiang²,

Liu³

et al. 2018

Pol. J. Environ. Stud.

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Exploring agricultural production systems and their fundamental components with system dynamics modelling

Cited by 154 publications

References 24 publications

Assessment of the Efficiency of Nitrogen Slow-Release Fertilizers in Integrated Production of Carrot Depending on Fertilization Strategy

Assessment of the Efficiency of Nitrogen Slow-Release Fertilizers in Integrated Production of Carrot Depending on Fertilization Strategy

A System Dynamics Model of the Adoption of Improved Agricultural Inputs in Uganda, with Insights for Systems Approaches to Development

Can China Achieve its CO2 Emission Mitigation Target in 2030: a System Dynamics Perspective

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