中国农业科学院 作物科学研究所
Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China

 

The barley DH population

 

1. Introduction

The barley DH population was derived from a two-row barley ( Hordeum vulgare L.) cross, Harrington × TR306, and consists of 146 random doubled haploid (DH) lines. A subset of 127 markers was used to build a base map with relatively uniform coverage. Data for seven agronomic traits were collected in 1992 and/or 1993 at 17 locations, and the average kernel weight (KWT) across 25 environments was used as the phenotypic data in QTL mapping. The average KWT was 38.7 mg for Harrington, and 45.0 mg for TR306. The minimum, mean and maximum KWT of the 146 DH were 35.8 mg, 42.0 mg, and 48.1 mg, respectively.

For more details about this population, see Tinker, et al. 1996 Regions of the genome that affect agronomic performance in two-row barley. Crop Sci. 36: 1053-1062.

 

2. Number of markers on each chromosome

Chromosome            Number of markers in each chromosome

1H                                14

2H                                18

3H                                15

4H                                13

5H                                28

6H                                18

7H                                21

 

3. Linkage map represented by marker interval length (BarleyDHLinkageMap)

 

4. Marker type (0, Harrington; 2, TR306; -1, missing) (BarleyDHMarkerType)

 

5. Kernel weight (mg)

41.0129 40.4104 40.1070 40.2816 41.4958 45.7471 40.1984 44.0952 42.0887 45.6550 44.0632 40.8758 42.5167 41.5800 47.2216 43.9748 40.6733 41.0200 44.3992 42.1996 44.0729 45.0384 39.7629 41.3220 41.1320 48.4600 47.2000 42.4408 44.1904 43.3846 39.5496 39.0408 40.7771 45.9825 42.2128 41.2004 40.0828 46.6238 42.4554 40.6116 43.0246 46.0756 43.3000 43.5113 40.9304 41.5652 42.3852 46.1008 44.1540 42.3642 42.5816 39.1528 46.4740 37.5188 45.4428 39.6658 41.4333 42.1564 38.3300 43.5768 46.6164 42.3480 42.1684 43.1076 39.1656 44.6880 43.6740 42.3196 43.0612 42.7628 38.7616 42.6928 41.1804 39.3928 42.5368 41.1046 41.8428 43.8788 43.3236 43.8544 44.3900 42.7568 40.7856 41.9068 39.3164 40.6680 40.5840 41.9912 45.3046 42.9264 41.8580 39.9113 44.3936 46.4500 41.8108 43.2060 45.4620 41.3679 44.3520 39.4896 45.5300 40.7492 46.5512 43.8172 42.3796 42.1128 40.6964 42.7888 41.4917 41.2720 39.5452 44.8432 43.1564 41.2833 42.4928 46.1300 41.2168 42.7876 42.5132 43.0132 43.1820 42.5480 41.8456 36.4516 40.9068 44.9863 43.7200 37.6888 42.8450 42.6664 45.1976 42.4116 43.2200 46.0364 41.6471 40.2996 39.7072 43.7528 41.4288 46.6096 42.1092 40.6292 43.4654 39.1392 43.7480

 

6. Input file for Windows QTL IciMapping (BarleyDH.qtl)

 

7. One dimensional scanning for additive QTL (step=1 cM)

 

 

8. Additive QTL identified by ICIM (PIN=0.01, POUT=0.02)

 

 

9. Input file for simulation based on QTL information identified by ICIM (KWTbyICIM.qtl)

9.1 100 DH populations for Windows QTL Cartographer (KWTbyICIM-CIM)

9.2 100 DH populations for Empiricam Bayesian Model (KWTbyICIM-BAYES)

9.3 100 DH populations for Windows QTL IciMapping (KWTbyICIM-ICIM)