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Effective and efficient utilization of gene bank resources using quantitative genetics

By: Contributor(s): Material type: TextLanguage: English Publication details: Edinburgh (CIMMYT) : EUCARPIA Biometrics in Plant Breeding Local Organising Committee, 2025.Description: 1 pageSubject(s): In: XIX Conference 2025 EUCARPIA, Biometrics In plant breeding, 17-19 Sep 2025 Edinburgh, UK. : Book of abstracts Edinburgh (United Kingdom) : EUCARPIA Biometrics in Plant Breeding Local Organising Committee, 2025. p. 72Summary: For over 60 years, CIMMYT maize and wheat breeding programs have been providing stable yielding, disease-resistant and climate-adapted varieties for resource-poor farmers around the globe. Novel genetic diversity for these programs is readily available from CIMMYT’s germplasm bank, which hosts the largest collection of maize and wheat in the world: 28,000 accessions of maize and over 120,000 accessions of wheat landraces and wild relatives. I discuss how approaches to discovery and deployment of useful diversity from this collection have evolved over time, from ad hoc breeding efforts to systematic genetic screening, and from exploitation of major gene variants to use of quantitative variation. Specifically, I examine how quantitative genetic approaches have become increasingly important in both discovery and deployment and how we are currently using such approaches in ongoing ‘allele mining’ efforts.
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Presented at XIX Conference 2025, EUCARPIA: Biometrics Plant Breeding, 17-19 Sep, Edinburgh, UK.

For over 60 years, CIMMYT maize and wheat breeding programs have been providing stable yielding, disease-resistant and climate-adapted varieties for resource-poor farmers around the globe. Novel genetic diversity for these programs is readily available from CIMMYT’s germplasm bank, which hosts the largest collection of maize and wheat in the world: 28,000 accessions of maize and over 120,000 accessions of wheat landraces and wild relatives. I discuss how approaches to discovery and deployment of useful diversity from this collection have evolved over time, from ad hoc breeding efforts to systematic genetic screening, and from exploitation of major gene variants to use of quantitative variation. Specifically, I examine how quantitative genetic approaches have become increasingly important in both discovery and deployment and how we are currently using such approaches in ongoing ‘allele mining’ efforts.

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