Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield
- Autores
- Rodríguez, Andrés Alberto; Vilas, Juan Manuel; Sartore, Gustavo Daniel; Bezus, Rodolfo; Colazo, Jose; Maiale, Santiago Javier
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- 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, 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.
EEA Concepción del Uruguay
Fil: Rodríguez, Andrés Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina
Fil: Rodríguez, Andrés Alberto. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina
Fil: Vilas, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina
Fil: Vilas, Juan Manuel. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina
Fil: Sartore, Gustavo Daniel. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentina
Fil: Bezus, Rodolfo. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentina
Fil: Colazo, Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Maiale, Santiago Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina
Fil: Maiale, Santiago Javier. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina - Fuente
- Plant Physiology and Biochemistry : 107897 (Available online 17 July 2023)
- Materia
-
Arroz
Rendimiento
Fotosíntesis
Sostenibilidad
Rice
Yields
Oryza sativa
Photosynthesis
Sustainability - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/14766
Ver los metadatos del registro completo
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Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yieldRodríguez, Andrés AlbertoVilas, Juan ManuelSartore, Gustavo DanielBezus, RodolfoColazo, JoseMaiale, Santiago JavierArrozRendimientoFotosíntesisSostenibilidadRiceYieldsOryza sativaPhotosynthesisSustainabilityThe 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.EEA Concepción del UruguayFil: Rodríguez, Andrés Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; ArgentinaFil: Rodríguez, Andrés Alberto. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; ArgentinaFil: Vilas, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; ArgentinaFil: Vilas, Juan Manuel. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; ArgentinaFil: Sartore, Gustavo Daniel. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; ArgentinaFil: Bezus, Rodolfo. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; ArgentinaFil: Colazo, Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Maiale, Santiago Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; ArgentinaFil: Maiale, Santiago Javier. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; ArgentinaElsevierinfo:eu-repo/date/embargoEnd/2025-07-182023-07-18T14:54:47Z2023-07-18T14:54:47Z2023-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14766https://www.sciencedirect.com/science/article/abs/pii/S09819428230040840981-94281873-2690https://doi.org/10.1016/j.plaphy.2023.107897Plant Physiology and Biochemistry : 107897 (Available online 17 July 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:23Zoai:localhost:20.500.12123/14766instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:23.689INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| title |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| spellingShingle |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield Rodríguez, Andrés Alberto Arroz Rendimiento Fotosíntesis Sostenibilidad Rice Yields Oryza sativa Photosynthesis Sustainability |
| title_short |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| title_full |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| title_fullStr |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| title_full_unstemmed |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| title_sort |
Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield |
| dc.creator.none.fl_str_mv |
Rodríguez, Andrés Alberto Vilas, Juan Manuel Sartore, Gustavo Daniel Bezus, Rodolfo Colazo, Jose Maiale, Santiago Javier |
| author |
Rodríguez, Andrés Alberto |
| author_facet |
Rodríguez, Andrés Alberto Vilas, Juan Manuel Sartore, Gustavo Daniel Bezus, Rodolfo Colazo, Jose Maiale, Santiago Javier |
| author_role |
author |
| author2 |
Vilas, Juan Manuel Sartore, Gustavo Daniel Bezus, Rodolfo Colazo, Jose Maiale, Santiago Javier |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Arroz Rendimiento Fotosíntesis Sostenibilidad Rice Yields Oryza sativa Photosynthesis Sustainability |
| topic |
Arroz Rendimiento Fotosíntesis Sostenibilidad Rice Yields Oryza sativa Photosynthesis Sustainability |
| dc.description.none.fl_txt_mv |
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, 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. EEA Concepción del Uruguay Fil: Rodríguez, Andrés Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina Fil: Rodríguez, Andrés Alberto. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina Fil: Vilas, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina Fil: Vilas, Juan Manuel. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina Fil: Sartore, Gustavo Daniel. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentina Fil: Bezus, Rodolfo. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales; Argentina Fil: Colazo, Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina Fil: Maiale, Santiago Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina Fil: Maiale, Santiago Javier. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina |
| description |
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, 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. |
| publishDate |
2023 |
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2023-07-18T14:54:47Z 2023-07-18T14:54:47Z 2023-07 info:eu-repo/date/embargoEnd/2025-07-18 |
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article |
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http://hdl.handle.net/20.500.12123/14766 https://www.sciencedirect.com/science/article/abs/pii/S0981942823004084 0981-9428 1873-2690 https://doi.org/10.1016/j.plaphy.2023.107897 |
| url |
http://hdl.handle.net/20.500.12123/14766 https://www.sciencedirect.com/science/article/abs/pii/S0981942823004084 https://doi.org/10.1016/j.plaphy.2023.107897 |
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eng |
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eng |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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Elsevier |
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Elsevier |
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Plant Physiology and Biochemistry : 107897 (Available online 17 July 2023) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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