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dc.contributor.authorRufo, Rubén
dc.contributor.authorLópez, Andrea
dc.contributor.authorLopes, Marta S.
dc.contributor.authorBellvert, Joaquim
dc.contributor.authorSoriano, Jose M.
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2022-01-27T15:41:13Z
dc.date.available2022-01-27T15:41:13Z
dc.date.issued2021-09-20
dc.identifier.citationRufo, Rubén, Andrea López, Marta S. Lopes, Joaquim Bellvert, and Jose M. Soriano. 2021. "Identification Of Quantitative Trait Loci Hotspots Affecting Agronomic Traits And High-Throughput Vegetation Indices In Rainfed Wheat". Frontiers In Plant Science 12. doi:10.3389/fpls.2021.735192.ca
dc.identifier.issn1664-462Xca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/1583
dc.description.abstractUnderstanding the genetic basis of agronomic traits is essential for wheat breeding programs to develop new cultivars with enhanced grain yield under climate change conditions. The use of high-throughput phenotyping (HTP) technologies for the assessment of agronomic performance through drought-adaptive traits opens new possibilities in plant breeding. HTP together with a genome-wide association study (GWAS) mapping approach can be a useful method to dissect the genetic control of complex traits in wheat to enhance grain yield under drought stress. This study aimed to identify molecular markers associated with agronomic and remotely sensed vegetation index (VI)-related traits under rainfed conditions in bread wheat and to use an in silico candidate gene (CG) approach to search for upregulated CGs under abiotic stress. The plant material consisted of 170 landraces and 184 modern cultivars from the Mediterranean basin. The collection was phenotyped for agronomic and VI traits derived from multispectral images over 3 and 2 years, respectively. The GWAS identified 2,579 marker-trait associations (MTAs). The quantitative trait loci (QTL) overview index statistic detected 11 QTL hotspots involving more than one trait in at least 2 years. A CG analysis detected 12 CGs upregulated under abiotic stress in six QTL hotspots and 46 downregulated CGs in 10 QTL hotspots. The current study highlights the utility of VI to identify chromosome regions that contribute to yield and drought tolerance under rainfed Mediterranean conditions.ca
dc.format.extent20ca
dc.language.isoengca
dc.publisherFrontiers Mediaca
dc.relation.ispartofFrontiers in Plant Scienceca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleIdentification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheatca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2015-65351-R/ES/Herramientas para la selección asistida por marcadores en programas de mejora de trigo a escala nacional e internacional: adaptación al cambio climático y calidad industrial/ca
dc.relation.projectIDMICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-109089RB-C31/ES/Mejora de la precisión y eficiencia en la selección de caracteres complejos en la mejora del trigo en ambientes mediterráneos mediante selección asistida y selección genómica/ca
dc.subject.udc633ca
dc.identifier.doihttps://doi.org/10.3389/fpls.2021.735192ca
dc.contributor.groupCultius Extensius Sosteniblesca
dc.contributor.groupÚs Eficient de l'Aigua en Agriculturaca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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