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Updated: Dec 29, 2025

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Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
Published on: July 16, 2019
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Natural Genetic Variation Underlying Tiller Development in Barley (Hordeum vulgare L).
Allison M Haaning1,2, Kevin P Smith2, Gina L Brown-Guedira3
1Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, Minnesota.
G3 (Bethesda, Md.)
|January 31, 2020
Summary
Genetic factors influencing barley tiller number and development rate were identified. Understanding these genetic controls can help optimize barley yield and architecture.
Area of Science:
- Agricultural Science
- Plant Genetics
- Crop Physiology
Background:
- Tiller development in barley (Hordeum vulgare L.) is crucial for grain yield and shoot architecture.
- The genetic basis for tiller number and developmental rate is not fully understood.
Purpose of the Study:
- Examine the relationships between tiller number and other agronomic/morphological traits.
- Identify natural genetic variation affecting tiller number, rate, and related traits in barley.
Main Methods:
- Grew 768 barley lines from the USDA National Small Grain Collection over two years.
- Collected field data on tiller number, tiller rate, and various agronomic/morphological traits.
- Utilized quantitative trait loci (QTL) analysis to associate genetic regions with observed traits.
Main Results:
- Spike row-type and days to heading are correlated with tiller number, explaining up to 28% of its variance.
- Negative correlations were found between tiller number and leaf width/stem diameter, indicating growth trade-offs.
- Thirty-three QTL were associated with tiller number or rate; many overlapped with QTL for heading date and spike row-type.
Conclusions:
- Tiller development in barley is genetically linked to heading date and spike row-type.
- Some QTL appear to directly influence tiller development rate or axillary bud number.
- This research improves understanding of barley tiller genetics for yield optimization.
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