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dc.contributor.author
Carcedo, Ana Julia Paula  
dc.contributor.author
Cejas, Emilia  
dc.contributor.author
Gambin, Brenda Laura  
dc.date.available
2023-09-13T15:41:23Z  
dc.date.issued
2021-02  
dc.identifier.citation
Carcedo, Ana Julia Paula; Cejas, Emilia; Gambin, Brenda Laura; Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region; Oxford University Press; In Silico Plants; 3; 1; 2-2021; 1-12  
dc.identifier.issn
2517-5025  
dc.identifier.uri
http://hdl.handle.net/11336/211400  
dc.description.abstract
Reducing sorghum yield gaps depends on the capacity to identify combinations of genetics and management that best suit region and seasonal conditions. Using simulated and empirical data, we explored how the combination of different sowing dates and genotype maturity respond to specific water stress patterns common across a temperate region (Argentina Pampas). This region was recently characterized by three water stress patterns (or environmental types, ENVTs). These ENVTs are: pre-flowering stress, low terminal stress and grain-filling stress. In the north and central regions, significant ENVT × sowing date interaction for yield (P < 0.05) indicated that sowing date should be chosen depending on the prevailing seasonal ENVT. This drought escape strategy increased yields by 4068-5049 kg ha-1. In the southern region, early sowings had the highest yields independently of the ENVT. Genotype maturity effect was less important, although early materials increased yield by 438-923 kg ha-1 (5-25 %) relative to the intermediate genotype, depending on the region. Under low terminal or grain-filling stress, early sowings gave the highest yields via increased accumulated biomass and/or harvest index. Under pre-flowering stress, delaying the sowing dates increased final yields via improved harvest index. Later sowings provided a conservative strategy for reducing risk in the north and central east regions, while for the central west and southern regions the sowing date should be as early as possible. We provided information to improve sorghum management decisions and guide breeding in temperate regions.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Oxford University Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
APSIM  
dc.subject
GRAIN YIELD  
dc.subject
MATURITY  
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RELATIVE TRANSPIRATION INDEX  
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SIMULATION MODEL  
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SOWING DATE  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-09-13T11:52:06Z  
dc.journal.volume
3  
dc.journal.number
1  
dc.journal.pagination
1-12  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Carcedo, Ana Julia Paula. 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  
dc.description.fil
Fil: Cejas, Emilia. Estación Experimental Fontezuela; 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  
dc.journal.title
In Silico Plants  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/insilicoplants/diab007