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dc.contributorBen Ghanem, Hajeren_US
dc.contributorEl-Baouchi, Adilen_US
dc.contributorKehel, Zakariaen_US
dc.creatorTsivelikas, Athanasiosen_US
dc.date2022-02-18en_US
dc.date.accessioned2022-03-23T22:09:52Z
dc.date.available2022-03-23T22:09:52Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/15eddb317df39a6fa4f33ac9be2530aaen_US
dc.identifier.citationAthanasios Tsivelikas, Hajer Ben Ghanem, Adil El-Baouchi, Zakaria Kehel. (18/2/2022). Single-Plant Selection at Ultra-Low Density Enhances Buffering Capacity of Barley Varieties and Landraces to Unpredictable Environments and Improves Their Agronomic Performance. Frontiers in Plant Science, 13.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67250
dc.description.abstractRainfall and temperature are unpredictable factors in Mediterranean environments that result in irregular environmental conditions for crop growth, thus being a critical source of uncertainty for farmers. This study applied divergent single-plant selection for high and low yield within five barley varieties and two Tunisian landraces under semi-arid conditions at an ultra-low density of 1.2 plants/m2 for two consecutive years. Progeny evaluation under dense stands following farmers’ practices was conducted in two semi-arid locations in Tunisia during one cropping season and in one location during a second season, totalling three environments. The results revealed significant genotypic effects for all recorded agronomic and physiological traits. No genotype environment interaction was shown for biological yield, implying a biomass buffering capacity for selected lines under different environmental conditions. However, genotype environment interaction was present in terms of grain yield since plasticity for biomass production under drought stress conditions was not translated directly to yield compensation for some of the lines. Nevertheless, several lines selected for high yield were identified to surpass their source material and best checks in each environment, while one line (IH4-4) outperformed consistently by 62.99% on average, in terms of grain yield, the best check across all environments. In addition, improved agronomic performance under drought conditions induced an indirect effect on some grain quality traits. Most of the lines selected for high yield maintained or even improved their grain protein content in comparison to their source material (average increase by 2.33%). On the other hand, most of the lines selected for low yield indicated a poor agronomic performance, further confirming the coherence between selection under ultra-low density and performance under dense stand.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Plant Science;13,(2022)en_US
dc.subjectcapacityen_US
dc.subjectdrought conditionsen_US
dc.subjectbufferingen_US
dc.subjectsingle-plant selectionen_US
dc.subjectultra-low densityen_US
dc.subjectyield compensationen_US
dc.subjectBarleyen_US
dc.titleSingle-Plant Selection at Ultra-Low Density Enhances Buffering Capacity of Barley Varieties and Landraces to Unpredictable Environments and Improves Their Agronomic Performanceen_US
dc.typeJournal Articleen_US
cg.creator.idTsivelikas, Athanasios: 0000-0001-6267-5079en_US
cg.creator.idKehel, Zakaria: 0000-0002-1625-043Xen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocbarleyen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Carthage - UCAR Tunisen_US
cg.contributor.centerMohammed VI Polytechnic University - UM6Pen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_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
cg.coverage.regionGlobalen_US
cg.contactA.Tsivelikas@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.3389/fpls.2022.838536en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor5.753en_US


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