Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.
Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center (CIMMYT). Two linear mixed models were used to assess marker-trait associations incorporating information on population structure and covariance between relatives. An integrated map containing 813 DArT markers and 831 other markers was constructed. Several linkage disequilibrium clusters bearing multiple host plant resistance genes were found. Most of the associated markers were found in genomic regions where previous reports had found genes or quantitative trait loci (QTL) influencing the same traits, providing an independent validation of this approach. In addition, many new chromosome regions for disease resistance and grain yield were identified in the wheat genome. Phenotyping across up to 60 environments and years allowed modeling of genotype x environment interaction, thereby making possible the identification of markers contributing to both additive and additive x additive interaction effects of traits.
Crossa
José
J
International Maize and Wheat Improvement Center (CIMMYT), 06600 México, DF, Mexico. j.crossa@cgiar.org
Burgueño
Juan
J
Dreisigacker
Susanne
S
Vargas
Mateo
M
Herrera-Foessel
Sybil A
SA
Lillemo
Morten
M
Singh
Ravi P
RP
Trethowan
Richard
R
Warburton
Marilyn
M
Franco
Jorge
J
Reynolds
Matthew
M
Crouch
Jonathan H
JH
Ortiz
Rodomiro
R
D002874:Chromosome Mapping; D017343:Genes, Plant; D005819:Genetic Markers; D049673:History, 20th Century; D049674:History, 21st Century; D016014:Linear Models; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D010935:Plant Diseases / Q000235:genetics / Q000382:microbiology; D040641:Quantitative Trait Loci; D013997:Time Factors; D014908:Triticum / Q000235:genetics* / Q000266:history / Q000382:microbiology
D005819:Genetic Markers