Mapping adaptation of barley to droughted environments

被引:36
作者
Comadran, J. [1 ]
Russell, J. R. [1 ]
van Eeuwijk, F. A. [2 ]
Ceccarelli, S. [3 ]
Grando, S. [3 ]
Baum, M. [3 ]
Stanca, A. M. [4 ]
Pecchioni, N. [5 ]
Mastrangelo, A. M. [6 ]
Akar, T. [7 ]
Al-Yassin, A. [8 ]
Benbelkacem, A. [9 ]
Choumane, W. [10 ]
Ouabbou, H. [11 ]
Dahan, R. [11 ]
Bort, J. [12 ]
Araus, J. -L. [12 ]
Pswarayi, A. [13 ]
Romagosa, I. [13 ]
Hackett, C. A. [14 ]
Thomas, W. T. B. [1 ]
机构
[1] SCRI, Dundee DD2 5DA, Scotland
[2] Lab Plant Breeding Appl Stat Biometris, Wageningen, Netherlands
[3] Int Ctr Agr Res Dry Areas, Aleppo, Syria
[4] Ist Sperimentale Cerealicoltura, CRA, I-29017 Rome, Italy
[5] Univ Modena & Reggio Emilia, Dept Sci Agrarie, I-42100 Reggio Emilia, Italy
[6] Ist Sperimentale Cerealicoltura, CRA, I-71100 Foggia, Italy
[7] CRIFC, TR-06042 Ankara, Turkey
[8] NCARTT, Amman 19381, Jordan
[9] ITGC, Constantine 25100, Algeria
[10] Tishreen Univ, Latakia, Syria
[11] INRA Morocco, Rabat 1000, Morocco
[12] Univ Barcelona, Dept Biol Vegetal, Barcelona 08028, Spain
[13] Univ Lleida, Ctr UdL, IRTA, Lleida 25196, Spain
[14] SCRI, BioSS, Dundee DD2 5DA, Scotland
关键词
barley; landraces; association mapping; drought; QTLs; yield;
D O I
10.1007/s10681-007-9508-1
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Identifying barley genomic regions influencing the response of yield and its components to water deficits will aid in our understanding of the genetics of drought tolerance and the development of more drought tolerant cultivars. We assembled a population of 192 genotypes that represented landraces, old, and contemporary cultivars sampling key regions around the Mediterranean basin and the rest of Europe. The population was genotyped with a stratified set of 50 genomic and EST derived molecular markers, 49 of which were Simple Sequence Repeats (SSRs), which revealed an underlying population sub-structure that corresponded closely to the geographic regions in which the genotypes were grown. A more dense whole genome scan was generated by using Diversity Array Technology (DArT (R)) to generate 1130 biallelic markers for the population. The population was grown at two contrasting sites in each of seven Mediterranean countries for harvest 2004 and 2005 and grain yield data collected. Mean yield levels ranged from 0.3 to 6.2 t/ha, with highly significant genetic variation in low-yielding environments. Associations of yield with barley genomic regions were then detected by combining the DArT marker data with the yield data in mixed model analyses for the individual trials, followed by multiple regression of yield on markers to identify a multi-locus subset of significant markers/QTLs. QTLs exhibiting a pre-defined consistency across environments were detected in bins 4, 6, 6 and 7 on barley chromosomes 3H, 4H, 5H and 7H respectively.
引用
收藏
页码:35 / 45
页数:11
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