| 000 | 03164nab|a22004697a|4500 | ||
|---|---|---|---|
| 001 | 69016 | ||
| 003 | MX-TxCIM | ||
| 005 | 20250702103815.0 | ||
| 008 | 20259s2025|||||ne ||p|op||||00||0|eng|dd | ||
| 022 | _a1161-0301 | ||
| 022 | _a1873-7331 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.eja.2025.127728 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aBongiovani, P.F. _939591 |
|
| 245 | 1 | 0 |
_aNitrogen fertilization strategy for Swiss winter wheat under climate-induced rainfall reduction : _bA model-based assessment |
| 260 |
_aNetherlands : _bElsevier B.V., _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aReduced rainfall and nitrogen (N) use in warm-summer humid continental climates may lower wheat yields. Our study employs the DSSAT-Nwheat process-based crop simulation model to quantify the effects of N input and rainfall on various phenological stages of the Swiss wheat genotype CH Nara, calibrated and evaluated using field data from 2018 to 2022. Simulations over 42 years (1981-2022) across five different Cambisols used historical daily weather data to test rainfall reductions from 20 % to 100 % during three critical periods (30 days before anthesis, 30 days after anthesis, and +/- 30 days around anthesis) as well as throughout the entire season. Nitrogen fertilizer treatments ranged from zero to 140 kg N ha-1. The model accurately simulated yields with an RMSE of 895.5 kg ha-1 during calibration and 1091.4 kg ha-1 during validation. Results showed that yields were not adversely affected by rainfall reductions up to 40 %, regardless of N levels or timing. However, yields significantly declined when reductions exceeded 60 %, especially with N applications above 100 kg ha-1. Optimal yields were noted at 140 kg N ha-1, but benefits decreased under scenarios of reduced rainfall, indicating that N recommendations may need to be lowered in response to projected rainfall reductions. This study provides quantitative guidance for adapting wheat fertilization strategies to maintain productivity while accounting for future rainfall variability. | ||
| 546 | _aText in English | ||
| 591 | _aAsseng, S. : Not in IRS staff list but CIMMYT Affiliation | ||
| 650 | 7 |
_aTriticum aestivum _2AGROVOC _91296 |
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| 650 | 7 |
_aCrop modelling _2AGROVOC _92623 |
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| 650 | 7 |
_aClimate change _2AGROVOC _91045 |
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| 650 | 7 |
_aFertilizers _2AGROVOC _91111 |
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| 650 | 7 |
_aPlant nutrition _2AGROVOC _95226 |
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| 650 | 7 |
_aSustainable agriculture _2AGROVOC _92327 |
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| 650 | 7 |
_aNitrogen _2AGROVOC _92912 |
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| 651 | 7 |
_aSwitzerland _2AGROVOC _925128 |
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| 700 | 1 |
_aHerrera, J.M. _9118 |
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| 700 | 1 |
_aFrossard, E. _982 |
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| 700 | 1 |
_ade Souza Nóia Júnior, R. _933226 |
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| 700 | 1 |
_8001710201 _aPequeno, D.N.L. _gSustainable Agrifood Systems _96381 |
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| 700 | 1 |
_aBurton, A. _939593 |
|
| 700 | 1 |
_aHäner, L.L. _939594 |
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| 700 | 1 |
_aAsseng, S. _91568 |
|
| 773 | 0 |
_tEuropean Journal of Agronomy _gv. 170, art. 127728 _dNetherlands : Elsevier B.V., 2025 _x1161-0301 _wG446870 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/35764 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c69016 _d69008 |
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