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dc.contributor.author
Spagnolli, Florencia C.  
dc.contributor.author
Mace, Emma  
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Jordan, David  
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Borras, Lucas  
dc.contributor.author
Gambin, Brenda Laura  
dc.date.available
2018-07-06T17:39:04Z  
dc.date.issued
2016-11  
dc.identifier.citation
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  
dc.identifier.issn
0011-183X  
dc.identifier.uri
http://hdl.handle.net/11336/51528  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Crop Science Society of America  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Genetic Analysis  
dc.subject
Grain Set Efficiency  
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Grain Yield  
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Qtl  
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Reproductive Partitioning  
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Sorghum Bicolor (L.) Moench  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Quantitative trait loci of plant attributes related to sorghum grain number determination  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-26T22:24:10Z  
dc.journal.volume
56  
dc.journal.number
6  
dc.journal.pagination
3046-3054  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Baltimore  
dc.description.fil
Fil: Spagnolli, Florencia C.. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina  
dc.description.fil
Fil: Mace, Emma. Hermitage Research Facility; Australia  
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Fil: Jordan, David. The University Of Queensland; Australia  
dc.description.fil
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  
dc.description.fil
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  
dc.journal.title
Crop Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2135/cropsci2016.03.0185  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/56/6/3046