Yujing Gao
A5027575960- Crop Yield and Soil Fertility
- Climate change impacts on agriculture
- Wheat and Barley Genetics and Pathology
- Agricultural Economics and Policy
- Plant responses to elevated CO2
- Soil Carbon and Nitrogen Dynamics
- Agricultural risk and resilience
- Plant Water Relations and Carbon Dynamics
- Agriculture Sustainability and Environmental Impact
- Genetic Mapping and Diversity in Plants and Animals
- Plant Micronutrient Interactions and Effects
- Greenhouse Technology and Climate Control
- Genetics and Plant Breeding
- Rice Cultivation and Yield Improvement
Zhejiang University
2025
University of Florida
2018-2024
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that often overlooked in efforts to improve crop production. We tested and applied a 32-multi-model ensemble simulate global yield changing climate. Potential benefits elevated atmospheric CO2 by 2050 on are likely be negated impacts from rising temperature changes rainfall, but with considerable disparities between regions. Grain yields expected lower more variable most low-rainfall regions,...
Abstract Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, best performing doubled haploid (DH) crosses an increased canopy photosynthesis from field experiments literature were extrapolated global scale a multi-model ensemble process-based crop models estimate production. The DH...
Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations modelling experiments. However, ability MME capture crop responses changes sowing dates and densities has not yet been investigated. These management interventions are some main levers for adapting cropping systems climate change. Here, we explore performance a 29 wheat models predict effect changing rates on yield components, two sites located high-yielding environment New...
Feeding the world's population in face of global warming is a challenging task. Warming poses dual threat to both food security and nitrogen pollution croplands. However, consensus remains elusive regarding precise impact on cycle Our study revealed that alone could reduce grain yields by 21% (with 95% confidence interval 15-27%) while increasing losses environment 54-169%. Under 2050 scenario, annual harvest projected decrease 16 million tonnes (Tg), accompanied an increase surplus...
This paper describes the data set that was used to test accuracy of twenty-nine crop models in simulating effect changing sowing dates and densities on wheat productivity for a high-yielding environment New Zealand. The includes one winter cultivar (Wakanui) grown during six consecutive years, from 2012-2013 2017-2018, at two farms located Leeston Wakanui Canterbury, simulations were carried out framework Agricultural Model Intercomparison Improvement Project (AgMIP-Wheat). Data include...
<title>Abstract</title> Increasing global food demand will require more production without further exceeding the planetary boundaries, while at same time adapting to climate change. We used an ensemble of wheat simulation models, with sink-source improved traits from highest-yielding genotypes quantify potential yield gains and associated N requirements. This was explored for current change scenarios across representative sites major world producing regions. The emerged as neutral 16%...
Grain production must increase by 60% in the next four decades to keep up with expected population growth and food demand. A significant part of this come from improvement staple crop grain yield potential. Crop simulation models combined field experiments physiology are powerful tools quantify impact traits trait combinations on potential which helps guide breeding towards most effective for future wheat crosses. The dataset reported here was created analyze value physiological identified...