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dc.contributor.author
de Felipe, Matías  
dc.contributor.author
Borras, Lucas  
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Truong, Sandra K.  
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McCormick, Ryan F.  
dc.contributor.author
Rotundo, José Luis  
dc.date.available
2022-07-28T17:45:29Z  
dc.date.issued
2020-05  
dc.identifier.citation
de Felipe, Matías; Borras, Lucas; Truong, Sandra K.; McCormick, Ryan F.; Rotundo, José Luis; Physiological processes associated with soybean genetic progress in Argentina; John Wiley & Sons Inc.; Agrosystems, Geosciences and Environment; 3; 1; 5-2020; 1-15  
dc.identifier.issn
2639-6696  
dc.identifier.uri
http://hdl.handle.net/11336/163437  
dc.description.abstract
The main physiological processes associated with soybean [Glycine max (L.) Merr.] genetic yield progress in central temperate Argentina are largely unknown. This knowledge is critical to identify opportunities to accelerate yield gains via trait-based hybridization. Our objectives were to: (a) evaluate the influence of biomass accumulation vs. harvest index (HI) in explaining genetic progress, and (b) assess the role of radiation and/or N capture and use efficiency (RUE and NUE, respectively) as drivers of biomass accumulation. We tested 173 cultivars released from 1980 to 2014 in two high-yielding environments. Additionally, a crop modeling exercise was performed to demonstrate the physiological perception that any genetic increase in RUE would only translate into more yield if there is enough water for the realization of that RUE. Observed genetic progress was 42 kg ha−1 yr−1, or ∼1% yr−1, and was mostly explained by increased aboveground biomass accumulation. This higher biomass of modern cultivars was associated with increased RUE and total N uptake. This suggests that, if residual genetic variation is still present in current soybean cultivars, future genetic improvements should focus on further improving N uptake to increase RUE. Increases in RUE are associated with increased stomatal conductance and water use. Therefore, it would be expected that genetic progress is faster in environments with increased rainfall. Our modeling exercise was consistent with this hypothesis and showed that soybean genetic progress simulated in different locations within a rainfall gradient was positively associated with cumulative seasonal precipitation.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
John Wiley & Sons Inc.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
soybean  
dc.subject
yield  
dc.subject
nitrogen  
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radiation use efficiency  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Physiological processes associated with soybean genetic progress in Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-06T21:15:52Z  
dc.identifier.eissn
2639-6696  
dc.journal.volume
3  
dc.journal.number
1  
dc.journal.pagination
1-15  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Maryland  
dc.description.fil
Fil: de Felipe, Matías. 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: 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  
dc.description.fil
Fil: Truong, Sandra K.. No especifíca;  
dc.description.fil
Fil: McCormick, Ryan F.. Dow Agrosciences Argentina Sociedad de Responsabilidad Limitada.; Argentina  
dc.description.fil
Fil: Rotundo, José Luis. 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
Agrosystems, Geosciences and Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/agg2.20041  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/agg2.20041