Mineral nitrogen fertilization and stover management effects on maize production under irrigated mediterranean conditions. Simulation of yields
The optimal N application rates were investigated with the effects of stover management on maize production and its possible interaction with N fertilization. A field experiment was conducted from 2010 to 2014. The rates of mineral N fertilization applied were: 0, 100, 200 and 300 kg N ha-1 year-1....
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10459.1/64338 |
| Acceso en línea: | http://hdl.handle.net/10803/393878 http://hdl.handle.net/10459.1/64338 |
| Access Level: | acceso abierto |
| Palabra clave: | Nitrogen fertilizer Maize production Crop stover management Fertilización nitrogenada Producción de maíz Gestión de los restos de la cosecha Fertilització nitrogenada Producció de blat de moro Gestió del rostoll Producció vegetal 633 |
| Sumario: | The optimal N application rates were investigated with the effects of stover management on maize production and its possible interaction with N fertilization. A field experiment was conducted from 2010 to 2014. The rates of mineral N fertilization applied were: 0, 100, 200 and 300 kg N ha-1 year-1. Our results suggested that grain yield, biomass, grain and plant N uptake and SPAD-units were all greatly affected by N fertilization rates. Maximum yield values (19.93 and 19.20 Mg ha−1) were achieved with N application rates of 200 kg ha-1. Our results suggested that returning stover to the soil over a period of five years had a positive impact on SOC (soil organic matter) levels, without any yield penalties. We evaluated the performance of the CSM–CERES and CSM-IXIM maize models in their DSSAT to simulate high yielding conditions and we also tested the IXIM model using an alternative approach. |
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