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Data synthesis for crop variety evaluation. A review.

David Brown^1,2, Inge Van den Bergh³, Sytze de Bruin¹

¹Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands.

Agronomy for Sustainable Development

|September 1, 2020

Summary

Optimizing crop variety evaluation requires data synthesis. Combining diverse data and expert knowledge enhances decision-making for better agronomic performance and product quality.

Keywords:

Data repurposing Data-driven decision-making Environmental data Farmers’ preferences Meta-analysis Multi-environment trials On-farm trials

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Area of Science:

Agricultural Science
Data Science
Bioinformatics

Background:

Crop variety evaluation involves complex data from field trials and sensory analyses.
Current evaluation methods are costly and time-consuming, necessitating data optimization.
Integrating farmer and consumer participation adds further complexity to data management.

Purpose of the Study:

To review essential elements for data synthesis in crop variety evaluation.
To identify challenges and solutions in managing and integrating diverse datasets.
To explore statistical and data synthesis methods for enhanced variety assessment.

Main Methods:

Literature review of data types, challenges, and global initiatives.
Analysis of current statistical approaches for data combination.
Examination of existing data synthesis methods for multi-source datasets.

Main Results:

Identified key data types and significant challenges in data management and integration.
Highlighted global initiatives addressing data integration in crop science.
Reviewed various statistical and data synthesis techniques applicable to variety evaluation.

Conclusions:

Existing methods show potential to overcome data synthesis barriers in crop variety evaluation.
Data synthesis can foster collaboration and data sharing among researchers.
Methodological innovation is crucial for advancing data-driven crop research and development.