Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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QTLs for barley yield adaptation to Mediterranean environments in the ‘Nure’ × ‘Tremois’ biparental population
Tondelli, A. ; Francia, E. ; Visioni, A. ; Comadran, J. ; Mastrangelo, A.M. ; Akar, T. ; Al-Yassina, A. ; Ceccarelli, S. ; Grando, S. ; Eeuwijk, F.A. van; Thomas, W.T.B. ; Stanca, A.M. ; Romagosa, I. ; Pecchioni, N. - \ 2014
Euphytica 197 (2014)1. - ISSN 0014-2336 - p. 73 - 86.
quantitative trait loci - hordeum-vulgare - drought tolerance - agronomic traits - flowering time - abiotic stress - grain-yield - major genes - linkage map - wheat
Multi-environment trials represent a highly valuable tool for the identification of the genetic bases of crop yield potential and stress adaptation. A Diversity Array Technology®-based barley map has been developed in the ‘Nure’ × ‘Tremois’ biparental Doubled Haploid population, harbouring the genomic position of a gene set with a putative role in the regulation of flowering time and abiotic stress response in barley. The population has been evaluated in eighteen location-by-year combinations across the Mediterranean basin. QTL mapping identified several genomic regions responsible for barley adaptation to Mediterranean conditions in terms of phenology, grain yield and yield component traits. The most frequently detected yield QTL had the early flowering HvCEN_EPS2 locus (chromosome 2H) as peak marker, showing a positive effect from the early winter parent ‘Nure’ in eight field trials, and explaining up to 45.8 % of the observed variance for grain yield. The HvBM5A_VRN-H1 locus on chromosome 5H and the genomic region possibly corresponding to PPD-H2 on chromosome 1H were significantly associated to grain yield in five and three locations, respectively. Environment-specific QTLs for grain yield, and clusters of yield component QTLs not related to phenology and or developmental genes (e.g. on chromosome 4H, BIN_09) were observed as well. The results of this work provide a valuable source of knowledge and tools for both explaining the genetic bases of barley yield adaptation across the Mediterranean basin, and using QTL-associated markers for MAS pre-breeding and breeding programmes.
Mapping adaptation of barley to droughted environments
Comadran, J. ; Russell, J.R. ; Eeuwijk, F.A. van; Ceccarelli, S. ; Grando, S. ; Baum, M. ; Stanca, A.M. ; Pecchioni, N. ; Mastrangelo, A.M. ; Akar, T. ; Al-Yassin, A. ; Benbelkacem, A. ; Choumane, W. ; Ouabbou, H. ; Dahan, R. ; Bort, J. ; Araus, J.L. ; Pswarayi, A. ; Romagosa, I. ; Hackett, C.A. ; Thomas, W.T.B. - \ 2008
Euphytica 161 (2008)1-2. - ISSN 0014-2336 - p. 35 - 45.
agronomic traits - tolerance - genome - genes - associations - genotype - yield - plant - qtls
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®) 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
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