Towards a multiscale crop modelling framework for climate change adaptation assessment

B Peng, K Guan, J Tang, EA Ainsworth, S Asseng… - Nature plants, 2020 - nature.com
Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …

Climate variability and vulnerability to climate change: a review

PK Thornton, PJ Ericksen, M Herrero… - Global change …, 2014 - Wiley Online Library
The focus of the great majority of climate change impact studies is on changes in mean
climate. In terms of climate model output, these changes are more robust than changes in …

[HTML][HTML] The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution

H Badouin, J Gouzy, CJ Grassa, F Murat, SE Staton… - Nature, 2017 - nature.com
The domesticated sunflower, Helianthus annuus L., is a global oil crop that has promise for
climate change adaptation, because it can maintain stable yields across a wide variety of …

A meta-analysis of crop yield under climate change and adaptation

AJ Challinor, J Watson, DB Lobell, SM Howden… - Nature climate …, 2014 - nature.com
Feeding a growing global population in a changing climate presents a significant challenge
to society,. The projected yields of crops under a range of agricultural and climatic scenarios …

[HTML][HTML] Agriculture in West Africa in the twenty-first century: climate change and impacts scenarios, and potential for adaptation

B Sultan, M Gaetani - Frontiers in plant science, 2016 - frontiersin.org
West Africa is known to be particularly vulnerable to climate change due to high climate
variability, high reliance on rain-fed agriculture, and limited economic and institutional …

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

H Jiang, H Hu, R Zhong, J Xu, J Xu… - Global change …, 2020 - Wiley Online Library
Understanding large‐scale crop growth and its responses to climate change are critical for
yield estimation and prediction, especially under the increased frequency of extreme climate …

Can farmers' adaptation to climate change be explained by socio-economic household-level variables?

TB Below, KD Mutabazi, D Kirschke, C Franke… - Global environmental …, 2012 - Elsevier
A better understanding of processes that shape farmers' adaptation to climate change is
critical to identify vulnerable entities and to develop well-targeted adaptation policies …

[HTML][HTML] Climate change and food systems

SJ Vermeulen, BM Campbell… - Annual review of …, 2012 - annualreviews.org
Food systems contribute 19%–29% of global anthropogenic greenhouse gas (GHG)
emissions, releasing 9,800–16,900 megatonnes of carbon dioxide equivalent (MtCO2e) in …

[HTML][HTML] Contribution of remote sensing on crop models: a review

DA Kasampalis, TK Alexandridis, C Deva… - Journal of …, 2018 - mdpi.com
Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …

Closing the global ozone yield gap: Quantification and cobenefits for multistress tolerance

G Mills, K Sharps, D Simpson, H Pleijel… - Global Change …, 2018 - Wiley Online Library
Increasing both crop productivity and the tolerance of crops to abiotic and biotic stresses is a
major challenge for global food security in our rapidly changing climate. For the first time, we …