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Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach
C Aruna1, I K Das1, P Sanjana Reddy1
1ICAR-Indian Institute of Millets Research, Hyderabad, India.
Developing grain mold-resistant sorghum is crucial for quality. A population breeding approach identified stable, high-yielding genotypes by analyzing genotype-environment interactions using GGE biplots.
Area of Science:
- Plant Breeding and Genetics
- Agronomy
- Crop Science
Background:
- Grain mold infection in sorghum significantly reduces grain quality and usability, necessitating breeding for resistance.
- Traditional pedigree breeding is common, but complex genotype × environment interactions (GEIs) challenge the development of stable, high-performing resistant lines.
Purpose of the Study:
- To develop sorghum genotypes with enhanced grain mold resistance using a population breeding strategy.
- To analyze genotype × environment interactions (GEIs) affecting grain yield (GY) and grain mold resistance.
- To identify stable, high-yielding, and mold-resistant sorghum genotypes through multi-location evaluation.
Main Methods:
- Evaluated 33 population breeding derivatives across four locations during the rainy season.
- Utilized Genotype plus genotype-by-environment interaction (GGE) biplot analysis to dissect GEIs for GY and grain mold resistance.
- Employed genotype-by-trait biplots to understand trait associations and identify ideal testing locations.
Main Results:
- Location and genotype × location (G × L) interactions significantly influenced GY and grain mold resistance.
- Dharwad emerged as an ideal location for simultaneously selecting for GY and grain mold resistance.
- Genotype-by-trait analysis revealed GY is influenced by flowering time, 100-grain weight, and plant height, while resistance is linked to glume coverage and plant height.
Conclusions:
- Population breeding effectively identified promising sorghum genotypes for grain mold resistance and yield.
- The independence of GY and grain mold score suggests potential for simultaneous improvement of both traits.
- Targeted breeding strategies within identified location clusters can optimize the selection of superior genotypes.
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