Literature DB >> 27129392

Association mapping for yield and yield-contributing traits in barley under drought conditions with genome-based SSR markers.

Salah Fatouh Abou-Elwafa1.   

Abstract

Drought negatively affects plant development, growth, yield, and ultimately production of crop species. Association analysis of yield and yield-contributing traits was conducted for a barley germplasm collection consisting 107 wild (Hordeum spontaneum L.) genotypes, originating from 12 countries using 76 SSR markers. Phenotypic evaluations were performed for days to heading, plant height, number of tillers/plant, spike length, thousand kernel weight, single plant yield under well-watered and drought-stress conditions. Highly significant differences between well-watered and drought-stress conditions were observed in all measured traits. Association analysis revealed a total of 83 significant marker-trait associations for all six measured traits. The results revealed that several chromosomal regions significantly influence more than one trait, suggesting a possible existence of pleiotropic or indirect effects. The phenotypic variation explained by individual marker-trait associations ranged from 5.08 to 27.84%. The results demonstrated that wild barley is a valuable source for improving yield and yield-contributing traits for drought tolerance. Our data provide a tool kit for the potential application of marker-assisted selection for drought tolerance in barley.
Copyright © 2016 Académie des sciences. Published by Elsevier SAS. All rights reserved.

Entities:  

Keywords:  Association mapping; Barley; Drought; Hordeum; SSR markers

Mesh:

Substances:

Year:  2016        PMID: 27129392     DOI: 10.1016/j.crvi.2016.03.001

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  4 in total

1.  Identification of charcoal rot resistance QTLs in sorghum using association and in silico analyses.

Authors:  Amer F Mahmoud; Salah Fatouh Abou-Elwafa; Tariq Shehzad
Journal:  J Appl Genet       Date:  2018-06-07       Impact factor: 3.240

2.  Identification of QTL underlying the leaf length and area of different leaves in barley.

Authors:  Binbin Du; Lipan Liu; Qifei Wang; Genlou Sun; Xifeng Ren; Chengdao Li; Dongfa Sun
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

3.  The landscape of microsatellites in the enset (Ensete ventricosum) genome and web-based marker resource development.

Authors:  Manosh Kumar Biswas; Jaypal N Darbar; James S Borrell; Mita Bagchi; Dhiman Biswas; Gizachew Woldesenbet Nuraga; Sebsebe Demissew; Paul Wilkin; Trude Schwarzacher; J S Heslop-Harrison
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

4.  QTL controlling grain filling under terminal drought stress in a set of wild barley introgression lines.

Authors:  Nora Honsdorf; Timothy J March; Klaus Pillen
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

  4 in total

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