Insect pests substantially reduce yields of three staple grains—rice, maize, and wheat—but models assessing the agricultural impacts of global warming rarely consider crop losses to insects. We use es

DataONE2018-09-02 更新60

Calibration and Validation of the AquaCrop Model to Estimate Maize Production in Campos Gerais, Paraná State, Brazil

AquaCrop模型校准

玉米产量预测

Abstract Crop productivity evaluation with models simulations can help in the prediction of harvests and in the understanding of the interactions resulting from the soil-plant-atmosphere continuum. Th

NIAID Data Ecosystem50

AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: PRYSBI2 maize

生物模型模拟

玉米产量预测

This is model output from PRYSBI2 for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set. The data have been generated following the modeling protocol

NIAID Data Ecosystem80

ICRISAT District-Level Data: Heterogeneous Climate Effect on Crop Yield and Associated Risks to Water Security in India

农业气候影响

水资源风险评估

This dataset supports the research paper titled "Heterogeneous Climate Effect on Crop Yield and Associated Risks to Water Security in India." It comprises unapportioned district-level data collected b

Mendeley Data50

Latitude modulates climate-driven maize yield gains across the central U.S. “warming hole”

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