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Capturing and Selecting Senescence Variation in Wheat.

Elizabeth A Chapman1, Simon Orford1, Jacob Lage2

  • 1Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, United Kingdom.

Frontiers in Plant Science
|May 3, 2021
PubMed
Summary
This summary is machine-generated.

Accurate wheat senescence phenotyping is crucial for understanding genetics. Thermal time to flag leaf senescence score of 70 (TT70) and mean peduncle senescence (MeanPed) are effective metrics for genetic studies.

Keywords:
grain developmentleavespedunclephenotypingquantificationselectionsenescencestaygreen

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Area of Science:

  • Plant Science
  • Genetics
  • Agricultural Science

Background:

  • Wheat senescence is a quantitative trait with poorly understood genetics.
  • Phenotyping often focuses solely on flag leaves, neglecting the whole-plant process.
  • Temporal progression and varying metrics complicate senescence trait quantification.

Purpose of the Study:

  • To identify accurate and discriminatory phenotyping methods for wheat senescence.
  • To investigate the genetic basis of senescence variation in wheat.
  • To provide guidance on effective senescence phenotyping for research and breeding.

Main Methods:

  • Phenotyped flag leaf and peduncle senescence, and grain maturation in wheat.
  • Calculated descriptive and discriminatory senescence metrics, including thermal time to senescence scores.
  • Utilized two recombinant inbred line (RIL) populations for genetic analysis.

Main Results:

  • Thermal time to flag leaf senescence score of 70 (TT70) demonstrated high between-year accuracy (r ≥ 0.59).
  • TT70 and mean peduncle senescence (MeanPed) were identified as the most informative metrics for discriminating senescence variation.
  • Staygreen traits were confirmed to associate with extended grain fill, demonstrating trait functionality.

Conclusions:

  • TT70 and MeanPed are effective and discriminatory metrics for wheat senescence phenotyping.
  • Accurate phenotyping is essential for identifying novel genetic regulators of senescence.
  • Recommended methods will aid trait selection and weighting in wheat breeding and research programs.