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Resumen
The rice breeding process for grain yield could be effectively enhanced by developing efficient tools that accelerate plant selection through the rapid determination of reliable predictors. In this study, we have described various associations between grain yield and photosynthetic parameters, which can be easily and quickly obtained using a non-invasive technique on the flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, [ver mas...]
dc.contributor.authorRodríguez, Andrés Alberto
dc.contributor.authorVilas, Juan Manuel
dc.contributor.authorSartore, Gustavo Daniel
dc.contributor.authorBezus, Rodolfo
dc.contributor.authorColazo, Jose
dc.contributor.authorMaiale, Santiago Javier
dc.dateinfo:eu-repo/date/embargoEnd/2025-07-18
dc.date.accessioned2023-07-18T14:54:47Z
dc.date.available2023-07-18T14:54:47Z
dc.date.issued2023-07
dc.identifier.issn0981-9428
dc.identifier.issn1873-2690
dc.identifier.otherhttps://doi.org/10.1016/j.plaphy.2023.107897
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14766
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0981942823004084
dc.description.abstractThe rice breeding process for grain yield could be effectively enhanced by developing efficient tools that accelerate plant selection through the rapid determination of reliable predictors. In this study, we have described various associations between grain yield and photosynthetic parameters, which can be easily and quickly obtained using a non-invasive technique on the flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PIABS) stood out due to its strong association with grain yield. A genome-wide association analysis conducted on plants from a rice diversity panel at the tillering stage revealed the presence of a quantitative trait locus on chromosome 9. This locus was characterized by a group of candidate chloroplastic genes that exhibited contrasting haplotypes for PIABS. An analysis of these haplotypes revealed a clear division into two groups. One group consisted of haplotypes linked to high values of PIABS, which were predominantly associated with Japonica spp. subpopulations. The other group consisted of haplotypes linked to low values of PIABS, which were exclusively associated with Indica spp. subpopulations. Japonica spp. genotypes exhibited higher values in the yield component panicle weight compared with the Indica spp. genotypes. The findings of this study indicate that PIABS could serve as an early predictor of yield parameters during the tillering stage in rice breeding processes.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourcePlant Physiology and Biochemistry : 107897 (Available online 17 July 2023)es_AR
dc.subjectArrozes_AR
dc.subjectRiceeng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectOryza sativaeng
dc.subjectFotosíntesises_AR
dc.subjectPhotosynthesiseng
dc.subjectSostenibilidades_AR
dc.subjectSustainabilityeng
dc.titleField and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yieldes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Concepción del Uruguayes_AR
dc.description.filFil: Rodríguez, Andrés Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.description.filFil: Rodríguez, Andrés Alberto. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.description.filFil: Vilas, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.description.filFil: Vilas, Juan Manuel. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.description.filFil: Sartore, Gustavo Daniel. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentinaes_AR
dc.description.filFil: Bezus, Rodolfo. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentinaes_AR
dc.description.filFil: Colazo, Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentinaes_AR
dc.description.filFil: Maiale, Santiago Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.description.filFil: Maiale, Santiago Javier. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentinaes_AR
dc.subtypecientifico


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