Similar Items: Assessing relevant climate data for agricultural applications
- Assessing relevant climate data for agricultural applications
- Implications of regional improvement in global climate models for agricultural impact research
- Crop yield response to climate change varies with cropping intensity
- Towards a genotypic adaptation strategy for Indian groundnut cultivation using an ensemble of crop simulations
- Climate change affects rainfall patterns in crop-producing regions: Findings from the study “Emergence of robust precipitation changes across crop production areas in the 21st century"
- Evidence- and risk-based planning for food security under climate change: Results of a modeling approach for climate-smart agriculture programming
Author: Ramírez Villegas, Julián Armando
- GBIF: Providing means for evaluating the impact of climate change on crop wild relatives
- Seguridad climática en el Corredor Seco Centroamericano: Informe de posición 2021/2
- Assessing the relationship between climate, food security and conflict in Ethiopia and in the Central American Dry Corridor (CADC). Quantitative analysis on the impact of climate variability on conflict in Ethiopia and in the CADC countries
- Analysis of threats to South American flora and its implications for conservation
- A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems
- Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production
Author: Challinor, Andrew J.
- The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations
- Fixing Our Broken Food System: The Why and How
- Influences of increasing temperature on Indian wheat: quantifying limits to predictability
- Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production
- An integrated adaptation and mitigation framework for developing agricultural research: Synergies and Trade-Offs
- Multimodel ensembles improve predictions of crop–environment–management interactions