| 000 | 03058nab|a22003617a|4500 | ||
|---|---|---|---|
| 001 | 65933 | ||
| 003 | MX-TxCIM | ||
| 005 | 20250606153958.0 | ||
| 008 | 202210s2022||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a2041-1723 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1038/s41467-022-34411-5 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aMinoli, S. _95083 |
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| 245 | 1 | 0 | _aGlobal crop yields can be lifted by timely adaptation of growing periods to climate change |
| 260 |
_bNature Publishing Group, _c2022. _aLondon (United Kingdom) : |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aAdaptive management of crop growing periods by adjusting sowing dates and cultivars is one of the central aspects of crop production systems, tightly connected to local climate. However, it is so far underrepresented in crop-model based assessments of yields under climate change. In this study, we integrate models of farmers’ decision making with biophysical crop modeling at the global scale to simulate crop calendars adaptation and its effect on crop yields of maize, rice, sorghum, soybean and wheat. We simulate crop growing periods and yields (1986-2099) under counterfactual management scenarios assuming no adaptation, timely adaptation or delayed adaptation of sowing dates and cultivars. We then compare the counterfactual growing periods and corresponding yields at the end of the century (2080-2099). We find that (i) with adaptation, temperature-driven sowing dates (typical at latitudes >30°N-S) will have larger shifts than precipitation-driven sowing dates (at latitudes <30°N-S); (ii) later-maturing cultivars will be needed, particularly at higher latitudes; (iii) timely adaptation of growing periods would increase actual crop yields by ~12%, reducing climate change negative impacts and enhancing the positive CO2 fertilization effect. Despite remaining uncertainties, crop growing periods adaptation require consideration in climate change impact assessments. | ||
| 546 | _aText in English | ||
| 597 |
_aNutrition, health & food security _bTransforming Agrifood Systems in South Asia _cResilient Agrifood Systems _dFederal Ministry of Education and Research, Germany _dCGIAR Trust Fund _dInternational Wheat Yield Partnership (IWYP) _dUnited States Agency for International Development _dBill & Melinda Gates Foundation _uhttps://hdl.handle.net/10568/127973 |
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| 650 | 7 |
_aAgroecology _2AGROVOC _93995 |
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| 650 | 7 |
_aClimate change _2AGROVOC _91045 |
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| 650 | 7 |
_aModelling _2AGROVOC _911710 |
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| 650 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
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| 700 | 1 |
_aJägermeyr, J. _919758 |
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| 700 | 1 |
_aAsseng, S. _91568 |
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| 700 | 1 |
_aUrfels, A. _8001711637 _gSustainable Intensification Program _gFormerly Sustainable Agrifood Systems _94925 |
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| 700 | 1 |
_aMüller, C. _939120 |
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| 773 | 0 |
_tNature Communications _gv. 13, art. 7079 _dLondon (United Kingdom) : Nature Publishing Group, 2022. _x2041-1723 _w57824 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22443 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c65933 _d65925 |
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