@misc{NoiaJuniorRuaneAthanasiadisetal., author = {N{\´o}ia-J{\´u}nior, Rog{\´e}rio de S. and Ruane, Alex C. and Athanasiadis, Ioannis N. and Ewert, Frank and Harrison, Matthew Tom and J{\"a}germeyr, Jonas and Martre, Pierre and M{\"u}ller, Christoph and Palosuo, Taru and Salmer{\´o}n, Montserrat and Webber, Heidi and Maccarthy, Dilys Sefakor and Asseng, Senthold}, title = {Crop models for future food systems}, series = {One earth}, volume = {8}, journal = {One earth}, number = {10}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {2590-3322}, doi = {10.1016/j.oneear.2025.101487}, pages = {1 -- 7}, abstract = {Global food systems face intensifying pressure from climate change, resource scarcity, and rising demand, making their transformation toward resilience and sustainability urgent. Process-based crop growth models (CMs) are critical for understanding cropping system dynamics and supporting decisions from crop breeding to adaptive management across diverse environments. Yet, current CMs struggle to capture extreme events, novel production systems, and rapidly evolving data streams, limiting their ability to inform robust and timely decisions. Here, we outline CM structure, identify key knowledge gaps, and propose six priorities for next-generation CMs: (1) expand applications to extremes and to diverse systems; (2) support climate-resilient breeding; (3) integrate with machine learning for better inputs and forecasts; (4) link with standardized sensor and database networks; (5) promote modular, open-source architectures; and (6) build capacity in under-resourced regions. These priorities will substantially enhance CM robustness, comparability, and usability, reinforcing their role in guiding sustainable food system transformation.}, language = {en} } @misc{FayeMbayeWebberetal., author = {Faye, Babacar and Mbaye, Mamadou Lamine and Webber, Heidi and Dieye, Bounama and Diouf, Di{\´e}gane and Gaye, Amadou Thierno}, title = {Adaptation potential of alternate varieties and fertilization strategies for peanut and maize in Senegal under climate change}, series = {Regional environmental change}, volume = {25}, journal = {Regional environmental change}, number = {4}, publisher = {Springer Science and Business Media LLC}, address = {Berlin ; Heidelberg ; New York, NY}, issn = {1436-3798}, doi = {10.1007/s10113-025-02491-w}, pages = {1 -- 15}, abstract = {In Senegal, rising temperatures are projected to reduce maize yields due to a shortened growth duration, while elevated CO2 fertilization may increase peanut yields under climate change. However, there is limited evidence on climate change impacts if crop cultivars change and systems intensify, which is expected to occur in parallel with climate change. For climate-adapted agriculture, the performance of improved agronomy and varieties should be evaluated under current and future climate scenarios. This study assesses the impact of climate change on crop yields of two varieties of peanut and maize at each under current and intensified fertilization. Simulations were performed for mid-century (2045-2074) and end-century (2070-2099) relative to a baseline (1981-2010) using the SIMPLACE modeling framework at 0.5° resolution. Climate projections from nine global climate models (GCMs) were used under SSP2-4.5 and SSP5-8.5 scenarios. Soil data was derived from the Harmonized World Soil Database. The results indicate that the impacts of climate change on crop yields differed by crop. Peanut showed an increase in yield of up to 45\% and a decrease for maize of up to 25\% by the end of the century. Peanut yield gains were higher under the intensification fertilization case compared to the current fertilization case, whereas for maize, losses were high in the intensification case. Furthermore, yield losses are more substantial in the southern and western parts of the country for both crops. Additionally, for maize, yield losses were higher for the short cycle variety than the long cycle variety; there was little difference between varieties for peanut.}, language = {en} }