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dc.contributor.authorMérida García, Rosa
dc.contributor.authorGálvez-Rojas, Sergio 
dc.contributor.authorSolís, Ignacio
dc.contributor.authorMartínez Moreno, Fernando
dc.contributor.authorCamino, Carlos
dc.contributor.authorSoriano, José Miguel
dc.contributor.authorSansaloni, Carolina
dc.contributor.authorAmmar, Karim
dc.contributor.authorBentley, Alison R.
dc.contributor.authorGonzález-Dugo, Victoria
dc.contributor.authorZarco Tejada, Pablo
dc.contributor.authorHernández Molina, Pilar
dc.date.accessioned2025-01-13T13:24:09Z
dc.date.available2025-01-13T13:24:09Z
dc.date.issued2024-11-22
dc.identifier.citationMe´rida-Garc´ıa R, Ga´lvez S, Sol´ıs I, Mart´ınez-Moreno F, Camino C, Soriano JM, Sansaloni C, Ammar K, Bentley AR, Gonzalez-Dugo V, Zarco-Tejada PJ and Hernandez P (2024) High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress. Front. Plant Sci. 15:1470520. doi: 10.3389/fpls.2024.1470520es_ES
dc.identifier.urihttps://hdl.handle.net/10630/36237
dc.description.abstractHigh-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the genetic basis of drought-adaptive traits, which is essential in current wheat breeding programs. The combined use of HTP and genome-wide association (GWAS) approaches has been useful in the assessment of complex traits such as yield, under field stress conditions including heat and drought. The aim of this study was to identify molecular markers associated with yield (YLD) in elite durum wheat that could be explained using hyperspectral indices (HSIs) under drought field conditions in Mediterranean environments in Southern Spain. The HSIs were obtained from hyperspectral imagery collected during the pre-anthesis and anthesis crop stages using an airborne platform. A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. The material was phenotyped for YLD and 19 HSIs for six growing seasons under drought field conditions at two locations in Andalusia, in southern Spain. GWAS analysis identified 740 significant marker-trait associations (MTAs) across all the durum wheat chromosomes, several of which were common for YLD and the HSIs, and can potentially be integrated into breeding programs. Candidate gene (CG) analysis uncovered genes related to important plant processes such as photosynthesis, regulatory biological processes, and plant abiotic stress tolerance. These results are novel in that they combine high-resolution hyperspectral imaging at the field scale with GWAS analysis in wheat. They also support the use of HSIs as useful tools for identifying chromosomal regions related to the heat and drought stress response in wheat, and pave the way for the integration of field HTP in wheat breeding programs.es_ES
dc.description.sponsorshipThis work was supported by Junta de Andalucia, projects P18-RT-992 (co-funded by FEDER) and Qualifica Project (QUAL21_023 IAS).es_ES
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectGenética vegetal - Proceso de datoses_ES
dc.subjectMarcadores moleculareses_ES
dc.subjectGenomas vegetaleses_ES
dc.subjectTrigo - Genéticaes_ES
dc.subject.otherMolecular markeres_ES
dc.subject.otherGWASes_ES
dc.subject.otherHyperspectral indiceses_ES
dc.titleHigh-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.es_ES
dc.typejournal articlees_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.identifier.doi10.3389/fpls.2024.1470520
dc.type.hasVersionVoRes_ES
dc.departamentoLenguajes y Ciencias de la Computación
dc.rights.accessRightsopen accesses_ES


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