Additional file 1: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Figure S1. Frequency distribution of the BLUEs of the 100 DH for the measured traits. (PDF 257 kb

Additional file 5: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Table S3. The list of candidate genes associated with largest QTL cluster on chromosome 3H. (XLSX 34 kb

Additional file 4: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Figure S2. Locations of main-effect QTL on 3H (a) and 4H (b) chromosomes. (PDF 183 kb

Additional file 3: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Table S2. The collective percent of phenotypic variation explained by main-effect QTL and QE interactions for the trait. (XLSX 12 kb

Additional file 6: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Figure S3. Climate conditions in rainfed field located in Wohlde (a-b), Walewice (c-d) and Gatersleben (e). (PDF 409 kb

Additional file 2: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Table S1. Genetic positions of markers. (XLSX 48 kb

Additional file 7: of Identification of QTL hot spots for malting quality in two elite breeding lines with distinct tolerance to abiotic stress

Data S1. Experimental procedures related to phenotypic data analysis, and QTL mapping [57–61]. (DOCX 14 kb

Expression profiles of barley genes responsive to drought.

<p>Expression ratios (drought vs control) are calculated based 3 replications. Fold change values are colour-coded: dark yellow >6 fold up-regulated, black no change, violet >6 fold down-regulated. Horizontal rows represent gene expression patterns. Vertical lines represent different stress treatments. Gene expression data refers to cvs. Brenda (B), Morex (M), Morocco (Mo), Martin (Ma), Oregon Wolf Barley-Dominant (OWB-D), Oregon Wolf Barley-Recessive (OWB-R), Hs (<i>H. spontaneum</i> HS584).</p

Structural organization of the <i>Hv</i>sHsp17.5-CI protein.

<p>A. The α-helix and ß-strands held between the two surface loops are shown in red and light blue colors. The N and C termini are indicated by NH₂, COOH, letters respectively. B. Structural alignment of the crystallin domain of <i>Ta</i>sHsp16.9 and <i>Hv</i>sHsp17.5-CI proteins are labeled as blue and red respectively. Highly conserved arginine (R) residue is shown in green color. C. Structural alignment of <i>Hv</i>sHsp17.5-CI and <i>Ta</i>sHsp16.9. The conserved regions of <i>Hv</i>sHsp17.5-CI and <i>Ta</i>sHsp16.9 are labeled with respective colors of figure A and B.</p

List of Hsf genes involved in different abiotic stress conditions and development of barley.

<p>The table shows the following details: Harvest unigene ID, full-length cDNA ID, Affymetrix ID, full-length/partial, open reading frame (ORF) size, predicted molecular mass for the deduced proteins, isoelectricpoint (pI), intron number with size, genomic sequence information (Assembly1 Morex ID), derived 5′ upstream of the translational start site and predicted subcellular localization.</p