Genome wide association analyses for drought tolerance related traits in barley (Hordeum vulgare L.)
Autor: | Peiguo Guo, F.A. van Eeuwijk, Rajeev K. Varshney, Salvatore Ceccarelli, Andreas Graner, Maria João Paulo, Michael Baum, Stefania Grando, Andrzej Kilian, L. C. P. Keizer |
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Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
Germplasm
Linkage disequilibrium allele frequencies Drought tolerance agronomic traits population-structure Soil Science Single-nucleotide polymorphism Wiskundige en Statistische Methoden - Biometris yield components mapping population Botany Domestication Mathematical and Statistical Methods - Biometris Genetics biology multilocus genotype data fungi food and beverages biology.organism_classification PE&RC triticum-aestivum l spring barley ab-qtl analysis Biometris Microsatellite Hordeum vulgare Hordeum Agronomy and Crop Science linkage disequilibrium |
Zdroj: | Field Crops Research, 126, 171-180 Field Crops Research 126 (2012) |
ISSN: | 0378-4290 |
Popis: | Genome wide association (GWA) analysis of yield, yield components, developmental, physiological and anatomical traits was conducted for a barley germplasm collection consisting of 185 cultivated (Hordeum vulgare L.) and 38 wild (Hordeum spontaneum L.) genotypes, originating from 30 countries of four continents. Phenotypic evaluations were performed at a dry (Breda) and wet (Tel Hadya) location in Syria. Genome wide association study was done with 816 markers comprised of 710 diversity array technology (DArT), 61 single nucleotide polymorphism (SNP) and 45 microsatellite or simple sequence repeat (SSR) markers. Diversity analysis revealed 5 groups of germplasm, related to origin (Middle East, North Africa), structural information (two-rows), and domestication (wild versus domesticated). Linkage disequilibrium (LD) decayed after 3 cM with a few exceptions at 10 and 15 cM. Although a few QTLs were identified that differed between the dry and wet site, these QTLs explained low phenotypic variation and could not unequivocally be related to drought tolerance when compared to earlier linkage mapping based QTL analysis studies. Therefore, GWA analysis seems to be not very effective for identification of major QTLs for complex traits like drought tolerance in highly structured germplasm collections. |
Databáze: | OpenAIRE |
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