Corn Response to Nitrogen is Influenced by Soil Texture and Weather

Soil properties and weather conditions are known to affect soil N availability and plant N uptake; however, studies examining N response as affected by soil and weather sometimes give conflicting results. Meta‐analysis is a statistical method for estimating treatment effects in a series of experimen...

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Veröffentlicht in:Agronomy journal 2012-11, Vol.104 (6), p.1658-1671
Hauptverfasser: Tremblay, Nicolas, Bouroubi, Yacine M., Bélec, Carl, Mullen, Robert William, Kitchen, Newell R., Thomason, Wade E., Ebelhar, Steve, Mengel, David B., Raun, William R., Francis, Dennis D., Vories, Earl D., Ortiz‐Monasterio, Ivan
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Sprache:eng
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Zusammenfassung:Soil properties and weather conditions are known to affect soil N availability and plant N uptake; however, studies examining N response as affected by soil and weather sometimes give conflicting results. Meta‐analysis is a statistical method for estimating treatment effects in a series of experiments to explain the sources of heterogeneity. In this study, the technique was used to examine the influence of soil and weather parameters on N response of corn (Zea mays L.) across 51 studies involving the same N rate treatments that were performed in a diversity of North American locations between 2006 and 2009. Results showed that corn response to added N was significantly greater in fine‐textured soils than in medium‐textured soils. Abundant and well‐distributed rainfall and, to a lesser extent, accumulated corn heat units enhanced N response. Corn yields increased by a factor of 1.6 (over the unfertilized control) in medium‐textured soils and 2.7 in fine‐textured soils at high N rates. Subgroup analyses were performed on the fine‐textured soil class based on weather parameters. Rainfall patterns had an important effect on N response in this soil texture class, with yields being increased 4.5‐fold by in‐season N fertilization under conditions of “abundant and well‐distributed rainfall.” These findings could be useful for developing N fertilization algorithms that would prescribe N application at optimal rates taking into account rainfall pattern and soil texture, which would lead to improved crop profitability and reduced environmental impacts.
ISSN:0002-1962
1435-0645
DOI:10.2134/agronj2012.0184