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dc.contributor.authorAwlia, Mariam
dc.date.accessioned2018-09-25T06:16:29Z
dc.date.available2018-09-25T06:16:29Z
dc.date.issued2018-09-24
dc.identifier.citationAwlia, M. (2018). Thesis Chapter 3 tables [Data set]. KAUST Research Repository. https://doi.org/10.25781/KAUST-3804Z
dc.identifier.doi10.25781/kaust-3804z
dc.identifier.urihttp://hdl.handle.net/10754/628741
dc.descriptionThe dataset includes the IDs, phenotypic measurements, multivariate analysis and genome-wide association data collected from the Arabidopsis HapMap population that was used in a high-throughput phenotyping experiment under salt stress to identify the underlying genetic components.
dc.publisherKAUST Research Repository
dc.relation.urlhttps://www.frontiersin.org/articles/10.3389/fpls.2016.01414/full
dc.rightsCC0 1.0 Universal
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectHigh-throughput phenotyping
dc.subjectMultivariate analysis
dc.subjectSalt stress
dc.subjectGenome-wide association mapping
dc.titleThesis Chapter 3 tables
dc.typeDataset
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.relation.issupplementtoDOI:10.3389/fpls.2016.01414
refterms.dateFOA2018-09-25T06:16:29Z
kaust.request.doino
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Article]</i> <br/> Awlia M, Nigro A, Fajkus J, Schmoeckel SM, Negrão S, et al. (2016) High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana. Frontiers in Plant Science 7. Available: http://dx.doi.org/10.3389/fpls.2016.01414.. DOI: <a href="https://doi.org/10.3389/fpls.2016.01414" >10.3389/fpls.2016.01414</a> Handle: <a href="http://hdl.handle.net/10754/621095" >10754/621095</a></a></li></ul>


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Dataset of the ID, phenotypic measurements, multivariate analysis and GWAS of the Arabidopsis HapMap population under salt stress

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