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resumen

Resumen
The fruiting efficiency (FE, grains per g of spike dry weight at anthesis) was proposed as a promising spike trait to improve wheat yield potential, based on its functional relationship with grain number determination (the most important component associated with yield potential) and the evidence of trait variability in elite germplasm. During the last years, we have witnessed great advances in the understanding of the physiological and genetic bases of [ver mas...]
dc.contributor.authorPretini, Nicole
dc.contributor.authorAlonso, Maria Pía
dc.contributor.authorVanzetti, Leonardo Sebastian
dc.contributor.authorPontaroli, Ana Clara
dc.contributor.authorGonzalez, Fernanda Gabriela
dc.dateinfo:eu-repo/date/embargoEnd/2022-03-16
dc.date.accessioned2021-03-16T10:54:42Z
dc.date.available2021-03-16T10:54:42Z
dc.date.issued2021-03
dc.identifier.issn0022-0957
dc.identifier.issn1460-2431 (online)
dc.identifier.otherhttps://doi.org/10.1093/jxb/erab080
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8897
dc.identifier.urihttps://academic.oup.com/jxb/advance-article/doi/10.1093/jxb/erab080/6157936
dc.description.abstractThe fruiting efficiency (FE, grains per g of spike dry weight at anthesis) was proposed as a promising spike trait to improve wheat yield potential, based on its functional relationship with grain number determination (the most important component associated with yield potential) and the evidence of trait variability in elite germplasm. During the last years, we have witnessed great advances in the understanding of the physiological and genetic bases of this trait. The present review summarises the recent heritability estimations and the genetic gains obtained when the fruiting efficiency was measured at maturity (FEm, grains per g of chaff) and used as selection criterion. In addition, by revising a detailed physiological approach based on the fertile floret efficiency (FFE, fertile florets per g of spike dry weight at anthesis) and grain set (grains per fertile floret), together with other spike fertility related traits, spike ideotypes for contrasting fruiting efficiencies are proposed. The novel genes and QTL available for using marker-assisted selection for fruiting efficiency and other spike fertility traits are also reviewed. The possible trade-off between FE and grain weight (GW) and the genes reported to alter this relation are revised. Finally, the benefits and future steps towards the use of fruiting efficiency as a selection criterion in breeding programs is discussed.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherOxford University Presses_AR
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_AR
dc.sourceJournal of Experimental Botany : 1-41. (Marzo 2021)es_AR
dc.subjectTrigoes_AR
dc.subjectWheateng
dc.subjectTratamiento de Semillases_AR
dc.subjectSeed Treatmenteng
dc.subjectFisiología Vegetales_AR
dc.subjectPlant Physiologyeng
dc.subjectFunción Fisiológicaes_AR
dc.subjectPhysiological Functionseng
dc.subjectFloraciónes_AR
dc.subjectFloweringeng
dc.subjectFertilidades_AR
dc.subjectFertilityeng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectGenética Cuantitativaes_AR
dc.subjectQuantitative Geneticseng
dc.titleThe physiology and genetics behind fruiting efficiency, a promising spike trait to improve wheat yield potentiales_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.description.origenEEA Pergaminoes_AR
dc.description.filFil: Pretini, Nicole. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Pretini, Nicole. Universidad Nacional de San Antonio de Areco; Argentina.es_AR
dc.description.filFil: Pretini, Nicole. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA); Argentinaes_AR
dc.description.filFil: Pretini, Nicole. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentinaes_AR
dc.description.filFil: Alonso, Maria Pía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Alonso, María Pía. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Unidad Integrada Balcarce; Argentinaes_AR
dc.description.filFil: Alonso, María Pía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentinaes_AR
dc.description.filFil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Pontaroli, Ana Clara. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Unidad Integrada Balcarce; Argentinaes_AR
dc.description.filFil: Pontaroli, Ana Clara. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Pontaroli, Ana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentina.es_AR
dc.description.filFil: González, Fernanda G. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: González, Fernanda G. Universidad Nacional de San Antonio de Areco; Argentina.es_AR
dc.description.filFil: González, Fernanda G. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA); Argentinaes_AR
dc.subtypecientifico


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