Short answer
Design solutions for agricultural innovation should extend beyond cultivation to encompass efficient and profitable processing methods.
- Field
- Resource Management
- Source
- UpSpace Institutional Repository (University of Pretoria) (2010)
- Method
- Gross margin analysis, supplemented by expert interviews and secondary data synthesis.
- Evidence
- Strong effect
Processing genetically modified cassava into starch significantly enhances economic returns compared to its raw farm-level production, outperforming maize and potato processing. This resource management research insight is drawn from a 2010 study published in UpSpace Institutional Repository (University of Pretoria). Using Gross margin analysis, supplemented by expert interviews and secondary data synthesis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design solutions for agricultural innovation should extend beyond cultivation to encompass efficient and profitable processing methods.
GM Cassava Processing Boosts Profitability Beyond Farm Gate
Processing genetically modified cassava into starch significantly enhances economic returns compared to its raw farm-level production, outperforming maize and potato processing.
UpSpace Institutional Repository (University of Pretoria) · 2010
Key Findings
- 01Raw cassava production at the farm level is not profitable under dryland or irrigation scenarios in South Africa.
- 02Processing cassava into starch yields higher returns due to increased output and superior quality compared to potato and maize starch.
Application
Design takeaway
Design solutions for agricultural innovation should extend beyond cultivation to encompass efficient and profitable processing methods.
How to apply
When designing new agricultural products or processes, conduct a thorough economic analysis that includes the potential for value addition through processing.
Project actions
- 01When researching a new material or product, consider its potential for further processing to increase its value.
- 02Investigate the entire supply chain, not just the initial production phase.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a potentially overlooked area of agricultural innovation (processing value).
- +Combines quantitative analysis with qualitative expert insights.
Limitations
The economic models used may not capture all real-world market fluctuations or the full complexity of agricultural supply chains.
Reliability & validity
The reliance on secondary data and expert interviews may affect the direct applicability and validity of findings to the specific South African context, potentially impacting reliability.
Think critically
How might the infrastructure and market access for processing influence the adoption and profitability of GM cassava compared to other crops?
Design Principles
"The economic viability of a new resource is often unlocked through value-added processing."
This highlights the critical role of value addition in agricultural innovation. Designers and engineers should consider the entire product lifecycle, including post-harvest processing, to unlock the full economic and resource potential of new crop varieties.
What This Means for Your Design
Growing GM cassava isn't very profitable on its own, but if you process it into starch, it becomes much more profitable than processing maize or potatoes.
How to use in your project
- 1.Use this research to justify exploring value-added processing for your chosen design project, especially if the raw material has limited direct application.
Add to My Project
Quick Cite
Paragraph starter
This study demonstrates that the economic success of a new agricultural product, such as genetically modified cassava, is significantly influenced by value-added processing. While raw production may be unprofitable, transforming the crop into higher-value products like starch can unlock substantial economic potential, outperforming competing crops. This underscores the importance of considering the entire product lifecycle and processing capabilities when evaluating the viability of new materials or technologies in a design project.
Source
UpSpace Institutional Repository (University of Pretoria)
An Ex-ante economic evaluation of genetically modified cassava in South Africa
journal · 2010
View sourceQuestions About This Research
- What does the research say about gm cassava processing boosts profitability beyond farm gate?
- Design solutions for agricultural innovation should extend beyond cultivation to encompass efficient and profitable processing methods. Evidence: UpSpace Institutional Repository (University of Pretoria) (2010).
- Why does "GM Cassava Processing Boosts Profitability Beyond Farm Gate" matter for design?
- This highlights the critical role of value addition in agricultural innovation. Designers and engineers should consider the entire product lifecycle, including post-harvest processing, to unlock the full economic and resource potential of new crop varieties.
- How can designers apply this research?
- Design solutions for agricultural innovation should extend beyond cultivation to encompass efficient and profitable processing methods.
- What were the main findings?
- Raw cassava production at the farm level is not profitable under dryland or irrigation scenarios in South Africa.. Processing cassava into starch yields higher returns due to increased output and superior quality compared to potato and maize starch.
- What research method was used?
- Gross margin analysis, supplemented by expert interviews and secondary data synthesis..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2010 journal from UpSpace Institutional Repository (University of Pretoria).
- What should I do differently in my next project?
- When designing new agricultural products or processes, conduct a thorough economic analysis that includes the potential for value addition through processing.
- What are the limitations?
- Relied on secondary data from other countries and expert opinions due to limited South African-specific data; did not account for all potential costs or market dynamics.