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dc.contributor.author
Madias, Andrés  
dc.contributor.author
Di Mauro, Guido  
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Vitantonio Mazzini, Lucas Nicolás  
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Gambin, Brenda Laura  
dc.contributor.author
Borras, Lucas  
dc.date.available
2023-01-10T10:52:18Z  
dc.date.issued
2021-02  
dc.identifier.citation
Madias, Andrés; Di Mauro, Guido; Vitantonio Mazzini, Lucas Nicolás; Gambin, Brenda Laura; Borras, Lucas; Environment quality, sowing date, and genotype determine soybean yields in the Argentinean Gran Chaco; Elsevier Science; European Journal of Agronomy; 123; 2-2021; 1-11  
dc.identifier.issn
1161-0301  
dc.identifier.uri
http://hdl.handle.net/11336/184040  
dc.description.abstract
The Argentinean Gran Chaco is one of the global regions with the highest recent rates of agricultural expansion due to soybean production. The area has been heavily deforested during the last 30 years. Despite the economic relevance of soybean for this region, studies that provide options for sustainable management of these production systems are scarce. The objectives of this study were (i) to identify and to quantify key management and environmental soybean yield predictors, and (ii) to explore interactions with maturity group (MG) selection, since farmers are sowing genotypes ranging from MGs V to VIII. We evaluated commercial genotypes in 112 multi-environment on-farm trials (METs) consisting of 14–19 genotypes each during 11 consecutive years (from 2008 to 2019). We first analyzed a single genotype sown in 106 METs to identify environmental and management yield predictors with good explanatory power for yield, which ranged from 435 to 5117 kg ha−1. Relevant environmental variables were, in order of importance, rainfall from 30 days before sowing to physiological maturity (R7), years after land conversion to agriculture, reference evapotranspiration from sowing to R7, and the number of 2-day periods with maximum temperatures above 35 °C from beginning of flowering (R1) to R7. Based on variable relative importance (RI) sowing date was the most important management variable (RI = 0.99), followed by phosphorous availability (RI = 0.59). Genotype selection also had a strong significant effect. There was an interaction between MG and sowing date, yield reductions with delayed sowings ranked as MG VIII > VII > VI = V. The largest yield differences between MGs were observed under environments with high soil organic matter (explored range from 1.64 to 4.05 %). These results illustrate specific management variables to guide farmers and advisors to optimize regional soybean cropping systems. The negative yield effect promoted by years after land conversion and reductions in soil organic matter suggest a decline in the environmental quality of the region and the need for new production alternatives to halt these trends.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DEFORESTATION  
dc.subject
MATURITY GROUP  
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MIXED-MODEL EFFECTS  
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SOWING DATE  
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YEARS AFTER LAND CONVERSION  
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YIELD LIMITING FACTORS  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Environment quality, sowing date, and genotype determine soybean yields in the Argentinean Gran Chaco  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-09-22T00:29:38Z  
dc.journal.volume
123  
dc.journal.pagination
1-11  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Madias, Andrés. Asociación Argentina de Productores En Siembra Directa; Argentina  
dc.description.fil
Fil: Di Mauro, Guido. 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: Vitantonio Mazzini, Lucas Nicolás. 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: 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.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.journal.title
European Journal of Agronomy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eja.2020.126217