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dc.contributor.author
Vitantonio Mazzini, Lucas Nicolás  
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Borras, Lucas  
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Garibaldi, Lucas Alejandro  
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Pérez, Diego H.  
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Gallo, Santiago  
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Gambin, Brenda Laura  
dc.date.available
2021-02-26T19:33:00Z  
dc.date.issued
2020-06-15  
dc.identifier.citation
Vitantonio Mazzini, Lucas Nicolás; Borras, Lucas; Garibaldi, Lucas Alejandro; Pérez, Diego H.; Gallo, Santiago; et al.; Management options for reducing maize yield gaps in contrasting sowing dates; Elsevier Science; Field Crops Research; 251; 107779; 15-6-2020; 1-11  
dc.identifier.issn
0378-4290  
dc.identifier.uri
http://hdl.handle.net/11336/126867  
dc.description.abstract
Optimizing grain production implies defining the best management practices for a set of particular environments. Argentinean farmers in the central temperate region are sowing maize at two contrasting sowing dates (September to October and December), exposing their crops to very different growing environments. We tested the influence of management and environmental variables affecting maize yield at early (ES) or late (LS) sowings. Our objectives were to (i) determine the most relevant management and environmental yield predictors for ES and LS, (ii) quantify the magnitude of their effects, and (iii) explore potential yield increments after optimizing crop management within each sowing. We conducted 91 on-farm multi-environment trials during six years (2010–2016) around the central temperate region, and analyzed 13 management and environmental variables. The most relevant environmental predictors (relative importance > 0.50) for both sowing dates included presence of a water table at sowing, rainfall during the crop cycle, and their interactions. Presence of a water table had a positive or negative effect for ES or LS, respectively. Management yield predictors varied depending on the sowing date. Stand density, N and S availability were important yield predictors at ES, while fungicide use, soil P, and N availability were the most relevant ones at LS. Farmers can increase yield at each sowing date by optimizing these management practices. Optimizing stand density and N availability in ES can have a ∼3,053 kg ha−1 effect, while fungicide use in LS can increase yield by ∼1040 kg ha−1. Determining the adequate sowing date based on the presence of a water table at sowing can have a ∼1000 kg ha−1 effect. Our results described specific management options for reducing yield gaps and optimize maize production across contrasting sowing dates.  
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
FERTILIZER MANAGEMENT  
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MULTI-MODEL INFERENCE  
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SOWING DATE  
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STAND DENSITY  
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WATER TABLE  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Management options for reducing maize yield gaps in contrasting sowing dates  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-02-26T14:28:58Z  
dc.journal.volume
251  
dc.journal.number
107779  
dc.journal.pagination
1-11  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
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: 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: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Sede Andina. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina  
dc.description.fil
Fil: Pérez, Diego H.. Asociacion Argentina de Consorcios Regionales de Experimentacion Agricola.; Argentina  
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Fil: Gallo, Santiago. Asociacion Argentina de Consorcios Regionales de Experimentacion Agricola.; 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
Field Crops Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378429019321471  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.fcr.2020.107779