Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield

Autores
Rodriguez, Andres Alberto; Vilas, Juan Manuel; Sartore, Gustavo Daniel; Bezus, Rodolfo; Colazo, José Luis; Maiale, Santiago Javier
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The effective increase of the rice breeding process for grain yield could be sustained by developing efficient tools to accelerate plant selection through the rapid determination of reliable predictors. Here, we have described different associations between grain yield and photosynthetic parameters simply and fast obtainable by a non-invasive technique in flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PIABS) stood out for its strong association with grain yield. A genome-wide association analysis determined in plants from a rice diversity panel at tillering stage indicated the presence of a quantitative trait locus on chromosome 9 characterized by a set of candidate chloroplastic genes with contrasting haplotypes for PIABS. An analysis of these haplotypes indicated a separation into two groups. One with haplotypes linked to high values of PIABS, which were associated almost exclusively with Japonica spp. subpopulations, and another with haplotypes linked to low values of PIABS, which were associated exclusively with Indica spp. subpopulations. Genotypes of the Japonica spp. subpopulations showed high values in panicle weight, a yield components parameter, compared with the Indica spp. subpopulations genotypes. The results of this work suggested that PIABS could be an early predictor of grain yield at the tillering stage in rice breeding processes.
Fil: Rodriguez, Andres Alberto. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
Fil: Vilas, Juan Manuel. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
Fil: Sartore, Gustavo Daniel. Universidad Nacional de La Plata; Argentina
Fil: Bezus, Rodolfo. Universidad Nacional de La Plata; Argentina
Fil: Colazo, José Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Maiale, Santiago Javier. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
Materia
ORYZA SATIVA
SUSTAINABLE CROPS
PIABS
CHLOROPYLL FLUORESCENCE
GRAIN YIELD PREDICTORS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/222182
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/222182
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yieldRodriguez, Andres AlbertoVilas, Juan ManuelSartore, Gustavo DanielBezus, RodolfoColazo, José LuisMaiale, Santiago JavierORYZA SATIVASUSTAINABLE CROPSPIABSCHLOROPYLL FLUORESCENCEGRAIN YIELD PREDICTORShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The effective increase of the rice breeding process for grain yield could be sustained by developing efficient tools to accelerate plant selection through the rapid determination of reliable predictors. Here, we have described different associations between grain yield and photosynthetic parameters simply and fast obtainable by a non-invasive technique in flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PIABS) stood out for its strong association with grain yield. A genome-wide association analysis determined in plants from a rice diversity panel at tillering stage indicated the presence of a quantitative trait locus on chromosome 9 characterized by a set of candidate chloroplastic genes with contrasting haplotypes for PIABS. An analysis of these haplotypes indicated a separation into two groups. One with haplotypes linked to high values of PIABS, which were associated almost exclusively with Japonica spp. subpopulations, and another with haplotypes linked to low values of PIABS, which were associated exclusively with Indica spp. subpopulations. Genotypes of the Japonica spp. subpopulations showed high values in panicle weight, a yield components parameter, compared with the Indica spp. subpopulations genotypes. The results of this work suggested that PIABS could be an early predictor of grain yield at the tillering stage in rice breeding processes.Fil: Rodriguez, Andres Alberto. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; ArgentinaFil: Vilas, Juan Manuel. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; ArgentinaFil: Sartore, Gustavo Daniel. Universidad Nacional de La Plata; ArgentinaFil: Bezus, Rodolfo. Universidad Nacional de La Plata; ArgentinaFil: Colazo, José Luis. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Maiale, Santiago Javier. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; ArgentinaCold Spring Harbor Laboratory2023-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/222182Rodriguez, Andres Alberto; Vilas, Juan Manuel; Sartore, Gustavo Daniel; Bezus, Rodolfo; Colazo, José Luis; et al.; Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield; Cold Spring Harbor Laboratory; BioRxiv; 2-2023; 1-302692-8205CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1101/2023.02.08.527648info:eu-repo/semantics/altIdentifier/url/https://www.biorxiv.org/content/10.1101/2023.02.08.527648v1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:02Zoai:ri.conicet.gov.ar:11336/222182instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:05:02.786CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
Rodriguez, Andres Alberto
ORYZA SATIVA
SUSTAINABLE CROPS
PIABS
CHLOROPYLL FLUORESCENCE
GRAIN YIELD PREDICTORS
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 Rodriguez, Andres Alberto
Vilas, Juan Manuel
Sartore, Gustavo Daniel
Bezus, Rodolfo
Colazo, José Luis
Maiale, Santiago Javier
author Rodriguez, Andres Alberto
author_facet Rodriguez, Andres Alberto
Vilas, Juan Manuel
Sartore, Gustavo Daniel
Bezus, Rodolfo
Colazo, José Luis
Maiale, Santiago Javier
author_role author
author2 Vilas, Juan Manuel
Sartore, Gustavo Daniel
Bezus, Rodolfo
Colazo, José Luis
Maiale, Santiago Javier
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv ORYZA SATIVA
SUSTAINABLE CROPS
PIABS
CHLOROPYLL FLUORESCENCE
GRAIN YIELD PREDICTORS
topic ORYZA SATIVA
SUSTAINABLE CROPS
PIABS
CHLOROPYLL FLUORESCENCE
GRAIN YIELD PREDICTORS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The effective increase of the rice breeding process for grain yield could be sustained by developing efficient tools to accelerate plant selection through the rapid determination of reliable predictors. Here, we have described different associations between grain yield and photosynthetic parameters simply and fast obtainable by a non-invasive technique in flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PIABS) stood out for its strong association with grain yield. A genome-wide association analysis determined in plants from a rice diversity panel at tillering stage indicated the presence of a quantitative trait locus on chromosome 9 characterized by a set of candidate chloroplastic genes with contrasting haplotypes for PIABS. An analysis of these haplotypes indicated a separation into two groups. One with haplotypes linked to high values of PIABS, which were associated almost exclusively with Japonica spp. subpopulations, and another with haplotypes linked to low values of PIABS, which were associated exclusively with Indica spp. subpopulations. Genotypes of the Japonica spp. subpopulations showed high values in panicle weight, a yield components parameter, compared with the Indica spp. subpopulations genotypes. The results of this work suggested that PIABS could be an early predictor of grain yield at the tillering stage in rice breeding processes.
Fil: Rodriguez, Andres Alberto. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
Fil: Vilas, Juan Manuel. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
Fil: Sartore, Gustavo Daniel. Universidad Nacional de La Plata; Argentina
Fil: Bezus, Rodolfo. Universidad Nacional de La Plata; Argentina
Fil: Colazo, José Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Maiale, Santiago Javier. Universidad Nacional de San Martin. Instituto Tecnologico de Chascomus. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - la Plata. Instituto Tecnologico de Chascomus.; Argentina
description The effective increase of the rice breeding process for grain yield could be sustained by developing efficient tools to accelerate plant selection through the rapid determination of reliable predictors. Here, we have described different associations between grain yield and photosynthetic parameters simply and fast obtainable by a non-invasive technique in flag leaf during the anthesis stage. Among the analyzed photosynthetic parameters, the photosynthetic performance index (PIABS) stood out for its strong association with grain yield. A genome-wide association analysis determined in plants from a rice diversity panel at tillering stage indicated the presence of a quantitative trait locus on chromosome 9 characterized by a set of candidate chloroplastic genes with contrasting haplotypes for PIABS. An analysis of these haplotypes indicated a separation into two groups. One with haplotypes linked to high values of PIABS, which were associated almost exclusively with Japonica spp. subpopulations, and another with haplotypes linked to low values of PIABS, which were associated exclusively with Indica spp. subpopulations. Genotypes of the Japonica spp. subpopulations showed high values in panicle weight, a yield components parameter, compared with the Indica spp. subpopulations genotypes. The results of this work suggested that PIABS could be an early predictor of grain yield at the tillering stage in rice breeding processes.
publishDate 2023
dc.date.none.fl_str_mv 2023-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/222182
Rodriguez, Andres Alberto; Vilas, Juan Manuel; Sartore, Gustavo Daniel; Bezus, Rodolfo; Colazo, José Luis; et al.; Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield; Cold Spring Harbor Laboratory; BioRxiv; 2-2023; 1-30
2692-8205
CONICET Digital
CONICET
url http://hdl.handle.net/11336/222182
identifier_str_mv Rodriguez, Andres Alberto; Vilas, Juan Manuel; Sartore, Gustavo Daniel; Bezus, Rodolfo; Colazo, José Luis; et al.; Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield; Cold Spring Harbor Laboratory; BioRxiv; 2-2023; 1-30
2692-8205
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1101/2023.02.08.527648
info:eu-repo/semantics/altIdentifier/url/https://www.biorxiv.org/content/10.1101/2023.02.08.527648v1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cold Spring Harbor Laboratory
publisher.none.fl_str_mv Cold Spring Harbor Laboratory
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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