posted on 2019-05-29, 16:33authored byPrabin Bajgain, Xiaofei Zhang, James A. Anderson
Table S1: No. of SNPs distributed across the IWG genome (21
chromosomes). Physical length of the chromosomes are shown in base pairs (based
on v2.1 reference genome). The no. of QTL detected in each chromosome is
correlated with a) no. of SNPs in the respective chromosome, and b) the length
of the respective chromosome.
Table S2: Output from the program STRUCTURE for K=1 to K= 10, summarized by Structure Harvester.
Table S3: Complete table of significant SNPs detected in the study. In the manuscript, we have only displayed common QTL in Table 2, which is the truncated version of this table.
Table S4: Several attributes of SNPs that were significantly
associated with the yield and yield component traits in this study. There are
11 columns in this sheet, which are (from left to right): trait the SNP is
associated with, SNP name, chromosome the SNP is positioned in, physical
position of the SNP, estimate of the allelic effect from GWAS, percentage of
phenotypic variation explained by the SNP (R2), major SNP allele, minor SNP
allele, minor allele frequency, favorable allele, and if the favorable allele
is major or minor.
Table S5: Frequencies of favorable alleles belonging to the
significant SNPs detected in this study compared with that from the first
cycle of IWG breeding and the University of Minnesota (UMN_C1). Note that
significant SNPs detected in this study does not mean they were also
significantly associated with these traits in UMN_C1.
Table S6: Comparison of QTL detected by Zhang et al (2017) and our study. Some of this data is displayed in Figure 5.
History
Article title
Genome-Wide Association Study of Yield Component Traits in Intermediate Wheatgrass and Implications in Genomic Selection and Breeding