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Multi-environment field trials for wheat yield, stability and breeding progress in Germany.

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Summary

This study presents a comprehensive winter wheat dataset from multi-environmental trials (MET) in Germany. The data aids in understanding genotype-environment-management (GxExM) interactions for improved crop breeding and agricultural strategies.

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Agronomy

Background:

  • Understanding genotype-environment-management (GxExM) interactions is vital for crop improvement.
  • Multi-environmental trials (MET) provide essential data for analyzing these complex interactions.
  • Winter wheat is a globally significant crop requiring optimized cultivation practices.

Purpose of the Study:

  • To introduce a large-scale, multi-year, multi-location MET dataset for winter wheat in Germany.
  • To facilitate research on genotype-environment-management (GxExM) interactions.
  • To support the development of decision-support models for agriculture.

Main Methods:

  • Collected data from six years (2015-2020) across six German locations.
  • Included nine distinct crop management scenarios with varying treatments.
  • Recorded 24 traits for 228 winter wheat cultivars, alongside management and weather data.

Main Results:

  • Compiled a dataset of 526,751 data points on winter wheat performance.
  • The dataset covers grain yield, agronomic and quality traits, phenology, and disease resistance.
  • Demonstrated the dataset's utility in addressing key agronomic questions related to GxExM.

Conclusions:

  • The presented MET dataset is a valuable resource for winter wheat research.
  • It enables advanced empirical, genomic, and enviromic analyses.
  • The data can inform breeding targets and agricultural management strategies.