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Proceedings of the National Academy of Sciences - PNAS, ISSN 1091-6490, 2016, Volume 113, Issue 52, pp. 14964 - 14969
Journal Article
Field crops research, ISSN 0378-4290, 2013, Volume 143, pp. 34 - 43
► A protocol is proposed for estimating crop yield potential at national scales. ► Robust estimates of rainfed yield potential required >15 years of weather... 
Yield potential | Food security | Maize | Simulation model | Yield gap | Wheat | Rice | AGRONOMY | SPRING WHEAT | CERES-WHEAT | WINTER-WHEAT YIELDS | WEATHER DATA | MODEL | SIMULATION | HYBRID-MAIZE | DAILY SOLAR-RADIATION | CLIMATE | Weather | Warts | Crop yields | Cropping systems | Analysis | Models | Food supply
Journal Article
Field crops research, ISSN 0378-4290, 2016, Volume 196, pp. 276 - 283
•Attainable yield gaps in US rice systems ranged from 1.1 to 3.5Mgha−1.•Adoption of current technology could be closing yield gaps in some areas.•Further... 
Yield potential | Temperature | Yield gap | Rice | AGRONOMY | FIELD | CROP YIELD | CLIMATE | Warts | Crop yields | Grain industry | Consulting services | Analysis | Production data
Journal Article
Agricultural and forest meteorology, ISSN 0168-1923, 2015, Volume 209-210, pp. 49 - 58
Journal Article
Journal Article
Field crops research, ISSN 0378-4290, 2015, Volume 177, pp. 49 - 63
•A protocol for selecting data sources for crop modeling was developed.•The methodology can be applied across widely different levels of data availability and... 
Yield potential | Yield gap | Crop simulation | Cropping system | Weather data | pedo-transfer functions | daily solar-radiation | water-use efficiency | impact | weather data | model | climate-change | distribution maps | corn-belt | maize | DISTRIBUTION MAPS | AGRONOMY | MANAGEMENT | RESOLUTION | CLIMATE-CHANGE | MODEL | IMPACT | WATER-USE EFFICIENCY | UNCERTAINTY | MAIZE | Information storage and retrieval | Warts | Crop yields | Analysis
Journal Article
Field Crops Research, ISSN 0378-4290, 06/2015, Volume 177, pp. 98 - 108
•A protocol for scaling up field yield gaps to larger spatial areas was developed.•We found the proposed protocol to be reasonably robust.•Areas with large... 
Yield potential | Climate stratification | Scaling | Crop simulation | systems | input data | impact | weather data | crop yields | scale | model | climate-change | resolution | maize | AGRONOMY | WEATHER DATA | RESOLUTION | CLIMATE-CHANGE | MODEL | ISSUES | IMPACT | INPUT DATA | SCALE | MAIZE | Warts | Precipitation variability | Rain and rainfall
Journal Article
Agricultural and forest meteorology, ISSN 0168-1923, 2017, Volume 239, pp. 108 - 117
•We estimated maize yield potential and yield gap with GYGA-ED protocol.•Both yield potential (Yp) and water-limited yield potential (Yw) was analyzed.•Yp and... 
Buffer zone | Yield potential | Yield gap | Rianfed | Irrigated | Agro-climatic zone | WATER SCARCITY | AGRONOMY | MANAGEMENT | LIMITATIONS | CROP YIELD | MODEL | SIMULATION | WHEAT | NUTRIENT | HYBRID-MAIZE | FORESTRY | METEOROLOGY & ATMOSPHERIC SCIENCES | CLIMATE | Warts | Corn | Climate | Agricultural biotechnology | Food supply | Analysis | Crop yields | Precipitation (Meteorology)
Journal Article
mSphere, ISSN 2379-5042, 2018, Volume 3, Issue 6, p. e00645-18
Journal Article