| Autor: |
Thorburn, Peter J., Biggs, Jody S., Puntel, Laila A., Sawyer, John E., Everingham, Yvette L., Archontoulis, Sotirios V. |
| Předmět: |
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| Zdroj: |
Agronomy for Sustainable Development (Springer Science & Business Media B.V.); Apr2024, Vol. 44 Issue 2, p1-11, 11p |
| Abstrakt: |
The application of nitrogen (N) fertilizer both underpins high productivity of agricultural systems and contributes to multiple environmental harms. The search for ways that farmers can optimize the N fertilizer applications to their crops is of global significance. A common concept in developing recommendations for N fertilizer applications is the "mass balance paradigm" – that is, bigger crops need more N, and smaller less – despite several studies showing that the crop yield at the optimum N rate (Nopt) is poorly related to Nopt. In this study we simulated two contrasting field experiments where crops were grown for 5 and 16 consecutive years under uniform management, but in which yield at Nopt was poorly correlated to Nopt. We found that N lost to the environment relative to yields (i.e., kg N t-1) varied +/- 124 and 164 % of the mean in the simulations of the experiments. Conversely, N exported in harvested produce (kg N t-1) was +/- 11 and 48 % of the mean. Given the experiments were uniformly managed across time, the variations result from crop-to-crop climatic differences. These results provide, for the first time, a quantitative example of the importance of climatic causes of the poor correlation between yield at Nopt and Nopt. An implication of this result is that, even if yield of the coming crop could be accurately predicted it would be of little use in determining the amount of N fertilizer farmers need to apply because of the variability in environmental N losses and/or crop N uptake. These results, in addition to previous empirical evidence that yield at Nopt and Nopt are poorly correlated, may help industry and farmers move to more credible systems of N fertilizer management. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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