Strategic use of Iranian bread wheat landrace accessions for genetic improvement: core set formulation and validation

Iranian wheat landrace accessions (IWAs) were collected from country-wide farm fields and market places in 1935 by a professor at the University of Tehran and shared with University of California at Davis, California. IWAs were further submitted to the genebank of International Maize and Wheat Impro...

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Autores: Vikram, P., Franco, J., Burgueño, J., Huihui Li, Sehgal, D., Saint Pierre, C., Ortiz, C., Singh, V.K., Sneller, C., Sharma, A.R., Tattaris, M., Guzman, C., Peña-Bautista, R.J., Sansaloni, C., Campos, J., Thiyagarajan, K., Fuentes Dávila, G., Reynolds, M.P., Sonder, K., Velu, G., Ellis, M.H., Bhavani, S., Jalal Kamali, M.R., Roostaei, M., Singh, S., Basandrai, D., Bains, N., Basandrai, A.K., Payne, T.S., Crossa, J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/21090
Acceso en línea:https://hdl.handle.net/10883/21090
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
GENE BANKS
PHENOTYPES
GENOTYPES
TRITICUM AESTIVUM
TRITICUM TURGIDUM
GENETIC RESOURCES
WHEAT
Descripción
Sumario:Iranian wheat landrace accessions (IWAs) were collected from country-wide farm fields and market places in 1935 by a professor at the University of Tehran and shared with University of California at Davis, California. IWAs were further submitted to the genebank of International Maize and Wheat Improvement Center (CIMMYT), Mexico. 2,403 IWAs from CIMMYT’s genebank were assayed by DArT-seq technology to assess genetic diversity. No apparent ecogeographic patterns related to genetic diversity were detected, probably due to long-term transport and frequent interchange of landraces among farmers. A multivariate clustering procedure combining genotypic and phenotypic information was used in selecting a core-set, which represented 15% of the hexaploid wheat accessions included in this study. This subset captured an estimated 93% of rare (frequency <0.05) alleles. Multisite phenotypic data (India, Mexico) validated the ability of the core-set in detecting useful variants. Potential donor accessions for multiple traits (disease resistance, zinc concentration) were identified from the core-set for wheat-breeding. This report illustrates a breeder friendly robust core-set formulation strategy for harnessing the useful genetic variation stored in the genebanks.

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