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Selection indices for quality evaluation in wheat breeding.

G Branlard¹, J Pierre, M Rousset

¹INRA, Station for the Improvement of Plants, 63039, Clermont-Ferrand, France.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik

|November 9, 2013

Summary

This summary is machine-generated.

Researchers developed six selection indices to assess wheat quality traits like dough strength and loaf volume. These indices proved more effective than individual tests for identifying superior wheat lines.

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Area of Science:

Agricultural Science
Plant Breeding
Food Science

Background:

Wheat quality is crucial for baking, influenced by genetic and environmental factors.
Accurate selection methods are needed to identify high-quality wheat cultivars.
Existing quality tests vary in their effectiveness for predicting end-product characteristics.

Purpose of the Study:

To develop and evaluate novel selection indices for wheat quality.
To assess the genetic potential for dough strength and loaf volume.
To compare the efficiency of new indices against traditional quality tests.

Main Methods:

Utilized multilocation trials with 125 wheat cultivars.
Employed protein content, Pelshenke, modified Zeleny, and mixograph tests.
Developed six selection indices (IW1-IW3 for dough strength, IV1-IV3 for loaf volume).
Calculated a quality index (IQ) based on high-molecular-weight (HMW) glutenin subunits.

Main Results:

The developed selection indices demonstrated superior efficiency compared to individual technological parameters.
The quality index (IQ) effectively utilized allelic effects of HMW glutenin subunits.
Comparison of indices using diverse F4 lines showed their ability to retain high-quality lines.

Conclusions:

Novel selection indices offer improved accuracy for wheat quality assessment.
Indices integrating multiple traits are more effective than single-trait evaluations.
These indices can aid breeders in selecting superior wheat lines for desired baking qualities.