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Related Experiment Video

Updated: May 6, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
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Stability of baking quality in bread wheat using several statistical parameters.

N Robert1, J B Denis

  • 1INRA, Station d'Amélioration des Plantes, Domaine de Crouëlle, Clermont-Ferrand, F-63039 Cédex, France.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|October 29, 2013
PubMed
Summary

This study introduces a novel method for assessing bread wheat quality stability using the alveograph test. A biadditive model effectively characterized genotype-environment interactions, identifying stable and unstable wheat varieties.

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Area of Science:

  • Agricultural Science
  • Food Science
  • Genetics

Background:

  • Bread wheat quality stability is crucial for consistent baking performance.
  • The alveograph test offers valuable rheological insights into dough technological traits.
  • Understanding genotype-environment interactions is key to breeding stable wheat varieties.

Purpose of the Study:

  • To investigate bread wheat quality stability for the first time using the alveograph test.
  • To propose and validate a procedure for evaluating wheat quality stability.
  • To characterize variety responsiveness to diverse environmental conditions.

Main Methods:

  • Utilized the alveograph test to assess four technological traits in ten bread wheat varieties across 14 environments.
  • Employed ecovalence to measure stability and a biadditive model with multiplicative terms for analysis.
  • Compared a joint regression model with the biadditive model for evaluating genotype-environment interactions.

Main Results:

  • The biadditive model significantly outperformed the joint regression model in explaining ecovalence.
  • This model enabled effective pooling of cultivars based on genotype-environment interactions.
  • Wheat varieties were successfully characterized by their responsiveness to different environments, identifying two checks for stability.

Conclusions:

  • The proposed procedure and biadditive model provide a robust framework for assessing bread wheat quality stability.
  • This approach aids in identifying and breeding wheat varieties with predictable performance across various environments.
  • The study identified specific wheat varieties as benchmarks for stability and instability.