Quantitative trait loci of plant attributes related to sorghum grain number determination

Autores
Spagnolli, Florencia C.; Mace, Emma; Jordan, David; Borras, Lucas; Gambin, Brenda Laura
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The genetic basis of grain number determination in sorghum [Sorghum bicolor (L.) Moench] was studied based on canopy growth traits. Traits were crop growth rate (CGR) around flowering, plant reproductive biomass partitioning (PR) to the panicle, and grain-set efficiency (EG) per unit of accumulated panicle biomass. Previous evidence has shown that these traits vary across commercial germplasm and that PR and EG are genotype-specific traits with low environmental effects. Our hypothesis was that PR and EG are highly heritable traits correlated to grain number (and yield) for which environmentally consistent quantitative trait loci (QTL) could be detected. Studied recombinant inbred lines (RILs) showed important variation in yield, grain number per square meter, time to anthesis, plant height, CGR, PR and EG, and growth environments created significant genotype × environment interactions for most. Variability in grain number per square meter was significantly correlated with PR (p < 0.001) and EG (p < 0.001) but not with CGR (p > 0.05). Heritability estimates for PR and EG were larger than estimates for CGR, grain number per square meter, or yield. A multitrait, multienvironment approach over CGR, PR, and EG identified 12 QTL (LOD ≥ 2.5), explaining 21 to 36% of observed trait variability. No QTL were detected for CGR, while two and one environmentally consistent QTL were found for PR and EG, respectively. Results highlighted relevant information that could be potentially exploited in breeding programs.
Fil: Spagnolli, Florencia C.. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Mace, Emma. Hermitage Research Facility; Australia
Fil: Jordan, David. The University Of Queensland; Australia
Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Gambin, Brenda Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Materia
Genetic Analysis
Grain Set Efficiency
Grain Yield
Qtl
Reproductive Partitioning
Sorghum Bicolor (L.) Moench
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:11336/51528
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/51528
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Quantitative trait loci of plant attributes related to sorghum grain number determinationSpagnolli, Florencia C.Mace, EmmaJordan, DavidBorras, LucasGambin, Brenda LauraGenetic AnalysisGrain Set EfficiencyGrain YieldQtlReproductive PartitioningSorghum Bicolor (L.) Moenchhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The genetic basis of grain number determination in sorghum [Sorghum bicolor (L.) Moench] was studied based on canopy growth traits. Traits were crop growth rate (CGR) around flowering, plant reproductive biomass partitioning (PR) to the panicle, and grain-set efficiency (EG) per unit of accumulated panicle biomass. Previous evidence has shown that these traits vary across commercial germplasm and that PR and EG are genotype-specific traits with low environmental effects. Our hypothesis was that PR and EG are highly heritable traits correlated to grain number (and yield) for which environmentally consistent quantitative trait loci (QTL) could be detected. Studied recombinant inbred lines (RILs) showed important variation in yield, grain number per square meter, time to anthesis, plant height, CGR, PR and EG, and growth environments created significant genotype × environment interactions for most. Variability in grain number per square meter was significantly correlated with PR (p < 0.001) and EG (p < 0.001) but not with CGR (p > 0.05). Heritability estimates for PR and EG were larger than estimates for CGR, grain number per square meter, or yield. A multitrait, multienvironment approach over CGR, PR, and EG identified 12 QTL (LOD ≥ 2.5), explaining 21 to 36% of observed trait variability. No QTL were detected for CGR, while two and one environmentally consistent QTL were found for PR and EG, respectively. Results highlighted relevant information that could be potentially exploited in breeding programs.Fil: Spagnolli, Florencia C.. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Mace, Emma. Hermitage Research Facility; AustraliaFil: Jordan, David. The University Of Queensland; AustraliaFil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Gambin, Brenda Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaCrop Science Society of America2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/51528Spagnolli, Florencia C.; Mace, Emma; Jordan, David; Borras, Lucas; Gambin, Brenda Laura; Quantitative trait loci of plant attributes related to sorghum grain number determination; Crop Science Society of America; Crop Science; 56; 6; 11-2016; 3046-30540011-183XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2016.03.0185info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/56/6/3046info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:20:33Zoai:ri.conicet.gov.ar:11336/51528instacron: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:34982025-10-15 14:20:33.399CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Quantitative trait loci of plant attributes related to sorghum grain number determination
title Quantitative trait loci of plant attributes related to sorghum grain number determination
spellingShingle Quantitative trait loci of plant attributes related to sorghum grain number determination
Spagnolli, Florencia C.
Genetic Analysis
Grain Set Efficiency
Grain Yield
Qtl
Reproductive Partitioning
Sorghum Bicolor (L.) Moench
title_short Quantitative trait loci of plant attributes related to sorghum grain number determination
title_full Quantitative trait loci of plant attributes related to sorghum grain number determination
title_fullStr Quantitative trait loci of plant attributes related to sorghum grain number determination
title_full_unstemmed Quantitative trait loci of plant attributes related to sorghum grain number determination
title_sort Quantitative trait loci of plant attributes related to sorghum grain number determination
dc.creator.none.fl_str_mv Spagnolli, Florencia C.
Mace, Emma
Jordan, David
Borras, Lucas
Gambin, Brenda Laura
author Spagnolli, Florencia C.
author_facet Spagnolli, Florencia C.
Mace, Emma
Jordan, David
Borras, Lucas
Gambin, Brenda Laura
author_role author
author2 Mace, Emma
Jordan, David
Borras, Lucas
Gambin, Brenda Laura
author2_role author
author
author
author
dc.subject.none.fl_str_mv Genetic Analysis
Grain Set Efficiency
Grain Yield
Qtl
Reproductive Partitioning
Sorghum Bicolor (L.) Moench
topic Genetic Analysis
Grain Set Efficiency
Grain Yield
Qtl
Reproductive Partitioning
Sorghum Bicolor (L.) Moench
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The genetic basis of grain number determination in sorghum [Sorghum bicolor (L.) Moench] was studied based on canopy growth traits. Traits were crop growth rate (CGR) around flowering, plant reproductive biomass partitioning (PR) to the panicle, and grain-set efficiency (EG) per unit of accumulated panicle biomass. Previous evidence has shown that these traits vary across commercial germplasm and that PR and EG are genotype-specific traits with low environmental effects. Our hypothesis was that PR and EG are highly heritable traits correlated to grain number (and yield) for which environmentally consistent quantitative trait loci (QTL) could be detected. Studied recombinant inbred lines (RILs) showed important variation in yield, grain number per square meter, time to anthesis, plant height, CGR, PR and EG, and growth environments created significant genotype × environment interactions for most. Variability in grain number per square meter was significantly correlated with PR (p < 0.001) and EG (p < 0.001) but not with CGR (p > 0.05). Heritability estimates for PR and EG were larger than estimates for CGR, grain number per square meter, or yield. A multitrait, multienvironment approach over CGR, PR, and EG identified 12 QTL (LOD ≥ 2.5), explaining 21 to 36% of observed trait variability. No QTL were detected for CGR, while two and one environmentally consistent QTL were found for PR and EG, respectively. Results highlighted relevant information that could be potentially exploited in breeding programs.
Fil: Spagnolli, Florencia C.. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Mace, Emma. Hermitage Research Facility; Australia
Fil: Jordan, David. The University Of Queensland; Australia
Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Gambin, Brenda Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
description The genetic basis of grain number determination in sorghum [Sorghum bicolor (L.) Moench] was studied based on canopy growth traits. Traits were crop growth rate (CGR) around flowering, plant reproductive biomass partitioning (PR) to the panicle, and grain-set efficiency (EG) per unit of accumulated panicle biomass. Previous evidence has shown that these traits vary across commercial germplasm and that PR and EG are genotype-specific traits with low environmental effects. Our hypothesis was that PR and EG are highly heritable traits correlated to grain number (and yield) for which environmentally consistent quantitative trait loci (QTL) could be detected. Studied recombinant inbred lines (RILs) showed important variation in yield, grain number per square meter, time to anthesis, plant height, CGR, PR and EG, and growth environments created significant genotype × environment interactions for most. Variability in grain number per square meter was significantly correlated with PR (p < 0.001) and EG (p < 0.001) but not with CGR (p > 0.05). Heritability estimates for PR and EG were larger than estimates for CGR, grain number per square meter, or yield. A multitrait, multienvironment approach over CGR, PR, and EG identified 12 QTL (LOD ≥ 2.5), explaining 21 to 36% of observed trait variability. No QTL were detected for CGR, while two and one environmentally consistent QTL were found for PR and EG, respectively. Results highlighted relevant information that could be potentially exploited in breeding programs.
publishDate 2016
dc.date.none.fl_str_mv 2016-11
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/11336/51528
Spagnolli, Florencia C.; Mace, Emma; Jordan, David; Borras, Lucas; Gambin, Brenda Laura; Quantitative trait loci of plant attributes related to sorghum grain number determination; Crop Science Society of America; Crop Science; 56; 6; 11-2016; 3046-3054
0011-183X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/51528
identifier_str_mv Spagnolli, Florencia C.; Mace, Emma; Jordan, David; Borras, Lucas; Gambin, Brenda Laura; Quantitative trait loci of plant attributes related to sorghum grain number determination; Crop Science Society of America; Crop Science; 56; 6; 11-2016; 3046-3054
0011-183X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2016.03.0185
info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/56/6/3046
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
application/pdf
dc.publisher.none.fl_str_mv Crop Science Society of America
publisher.none.fl_str_mv Crop Science Society of America
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
_version_ 1846082582288007168
score 13.22299

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