The impact of high temperature and drought stress on the yield of major staple crops in northern China

X Zhu, T Liu, K Xu, C Chen - Journal of Environmental Management, 2022 - Elsevier
The study of the impact of high temperature and drought on the yield of major staple crops
can provide important scientific support for the decision-making of agricultural sustainable …

Impacts of climate change on the optimum planting date of different maize cultivars in the central US Corn Belt

ME Baum, MA Licht, I Huber, SV Archontoulis - European Journal of …, 2020 - Elsevier
Planting date and cultivar selection are major factors in determining the yield potential of any
crop and in any region. However, there is a knowledge gap in how climate scenarios affect …

[HTML][HTML] The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in , temperature, water, and nitrogen levels (protocol …

JA Franke, C Müller, J Elliott, AC Ruane… - Geoscientific Model …, 2020 - gmd.copernicus.org
Concerns about food security under climate change motivate efforts to better understand
future changes in crop yields. Process-based crop models, which represent plant …

Assessment of nine gridded temperature data for modeling of wheat production systems

A Araghi, CJ Martinez, JE Olesen… - … and Electronics in …, 2022 - Elsevier
Temperature plays a critical role for plant development and growth, and maximum and
minimum temperature are two of the key inputs for the application of crop simulation models …

[HTML][HTML] The GGCMI Phase 2 emulators: global gridded crop model responses to changes in , temperature, water, and nitrogen (version 1.0)

JA Franke, C Müller, J Elliott, AC Ruane… - Geoscientific Model …, 2020 - gmd.copernicus.org
Statistical emulation allows combining advantageous features of statistical and process-
based crop models for understanding the effects of future climate changes on crop yields …

Strong regional influence of climatic forcing datasets on global crop model ensembles

AC Ruane, M Phillips, C Müller, J Elliott… - Agricultural and Forest …, 2021 - Elsevier
We present results from the Agricultural Model Intercomparison and Improvement Project
(AgMIP) Global Gridded Crop Model Intercomparison (GGCMI) Phase I, which aligned 14 …

[HTML][HTML] Crop yield prediction based on agrometeorological indexes and remote sensing data

X Zhu, R Guo, T Liu, K Xu - Remote Sensing, 2021 - mdpi.com
Timely and reliable estimations of crop yield are essential for crop management and
successful food trade. In previous studies, remote sensing data or climate data are often …

[HTML][HTML] Using reanalysis in crop monitoring and forecasting systems

A Toreti, A Maiorano, G De Sanctis, H Webber… - Agricultural systems, 2019 - Elsevier
Weather observations are essential for crop monitoring and forecasting but they are not
always available and in some cases they have limited spatial representativeness. Thus …

Combined TBATS and SVM model of minimum and maximum air temperatures applied to wheat yield prediction at different locations in Europe

M Gos, J Krzyszczak, P Baranowski, M Murat… - Agricultural and Forest …, 2020 - Elsevier
This paper explores the idea of combining Trigonometric Exponential Smoothing State
Space model with Box-Cox transformation, ARMA errors, Trend and Seasonal Components …

Evaluation of multiple gridded solar radiation data for crop modeling

A Araghi, CJ Martinez, JE Olesen - European Journal of Agronomy, 2022 - Elsevier
Solar radiation (S RAD) plays a pivotal role for crop growth and development, and is,
therefore, an indispensable input for crop simulation models. Lack of weather data …