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dc.contributorMaccaferri, Marcoen_US
dc.contributorAlvaro, Fannyen_US
dc.contributorMoragues, Marcen_US
dc.contributorSanguineti, Maria C.en_US
dc.contributorTuberosa, Robertoen_US
dc.contributorMaalouf, Fouaden_US
dc.contributorDel Moral, Luis Garciaen_US
dc.contributorDemontis, Andreaen_US
dc.contributorRhouma, Sayaren_US
dc.contributorMiloudi, Nachiten_US
dc.contributorNserallah, Nasserlehaqen_US
dc.contributorVillegas, Dolorsen_US
dc.creatorRoyo, Conxitaen_US
dc.identifier.citationConxita Royo, Marco Maccaferri, Fanny Alvaro, Marc Moragues, Maria C. Sanguineti, Roberto Tuberosa, Fouad Maalouf, Luis Garcia Del Moral, Andrea Demontis, Sayar Rhouma, Nachit Miloudi, Nasserlehaq Nserallah, Dolors Villegas. (9/10/2010). Understanding the relationships between genetic and phenotypic structures of a collection of elite durum wheat accessions. Field Crops Research, 119 (1), pp. 91-105.en_US
dc.description.abstractA collection of 191 durum wheat accessions representing Mediterranean Basin genetic diversity was grown in nine different environments in four countries, with productivities ranging from 0.99 to 6.78 t ha(-1). The population breeding structure comprised eight genetic subpopulations (GSPs) using data derived from 97 evenly distributed SSR markers. The phenotypic structure was assessed: (i) from the mean values of six agronomic traits across environments (multivariate), and (ii) from data representing each trait in each environment (univariate). Mean daily maximum temperature from emergence to heading was significantly (P<0.05) and negatively associated to yield, accounting for 59% of yield variations. Significant but weak relationships were obtained between the genetic similarities among accessions and their overall agronomic performance (r=0.15. P<0.001), plant height (r=0.12, P<0.001), spike-peduncle length (r=0.06, P<0.01) and thousand kernel weight (r=0.03, P<0.05), suggesting a very low possibility of prediction of the agronomic performance based on random SSR markers. The percentage of variability (measured by sum of squares) explained by the environment varied between 76.3 and 98.5% depending on the trait, while that explained by genotypes ranged between 0.4 and 12.6%, and that explained by the GE interaction ranged from 1.1 to 12.5%. The clustering of the accessions based on multivariate phenotypic data offered the best explanation of genotypic differences, accounting for 30.3% (for yield) to 75.1% (for kernel weight) of the observed variation. The genotype x environment interaction was best explained by the phenotypic univariate clustering procedure, which explained from 28.5% (for kernel weight) to 74.9% (for days to heading) of variation. The only accessions that clustered both in the genetic dissimilarities tree and the tree obtained using Euclidean distances based on standardized phenotypic data across environments were those closely related to the CIMMYT hallmark founder 'Altar 84', the ICARDA accessions adapted to continental-dryland areas, and the landraces, suggesting that genetic proximity corresponded to agronomic performance in only a few cases. (C) 2010 Elsevier B.V. All rights reserved.en_US
dc.publisherElsevier Ltd.en_US
dc.rightsCopyrighted; all rights reserveden_US
dc.sourceField Crops Research;119,(2010) Pagination 91,105en_US
dc.subjectgenotype x environment interactionen_US
dc.subjectgermplasm collectionen_US
dc.subjectgenetic diversityen_US
dc.subjectDurum Wheaten_US
dc.titleUnderstanding the relationships between genetic and phenotypic structures of a collection of elite durum wheat accessionsen_US
dc.typeJournal Articleen_US
cg.creator.idMaalouf, Fouad: 0000-0002-7642-7102en_US
cg.subject.agrovoctriticum turgidumen_US
cg.contributor.centerInstitute for Food and Agricultural Research and Technology - IRTAen_US
cg.contributor.centerUniversity of Bologna - UNIBOen_US
cg.contributor.centerLebanese Agricultural Research Institute - LARIen_US
cg.contributor.centerUniversity of Granada, Department of Plant Physiology - UGR - DoPPen_US
cg.contributor.centerSocieta Produttori Sementi SpAen_US
cg.contributor.centerNational Agronomic Institute of Tunisia - INATen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerNational Institute of Agronomic Research, Regional center in Kenitra - INRA - CRRAen_US
cg.contributor.crpCGIAR Research Program on Wheat - WHEATen_US
cg.contributor.funderEuropean Union - EU Belgiumen_US
cg.contributor.funderSpanish Ministry of Education and Scienceen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
dc.identifier.statusTimeless limited accessen_US

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