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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
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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
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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
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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
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