The DSSAT crop modeling ecosystem
G Hoogenboom, CH Porter, KJ Boote… - Advances in crop …, 2019 - taylorfrancis.com
1 Introduction Traditionally, research for agricultural development and improvement is based
on small plot experiments that are conducted for multiple years on a research station and, on …
on small plot experiments that are conducted for multiple years on a research station and, on …
Impact of climate change and planting date shifts on growth and yields of double cropping rice in southeastern China in future
CONTEXT It is predicted that climate change characterized by global warming will adversely
affect the rice. To study the impacts of future climate change on rice growth and yields are of …
affect the rice. To study the impacts of future climate change on rice growth and yields are of …
Towards improved calibration of crop models–Where are we now and where should we go?
Crop simulation models are increasingly used in agricultural decision making. Calibration is
a demanding and critical step in developing and applying a model. Despite its importance …
a demanding and critical step in developing and applying a model. Despite its importance …
Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate
Simulation models are widely used for making decision support especially under sub-
optimal climatic conditions for yield improvement. The impact of uncertain weather …
optimal climatic conditions for yield improvement. The impact of uncertain weather …
Uncertainties in assessing the effect of climate change on agriculture using model simulation and uncertainty processing methods
FM Yao, PC Qin, JH Zhang, ED Lin, V Boken - Chinese Science Bulletin, 2011 - Springer
Abstract Model simulation is an important way to study the effects of climate change on
agriculture. Such assessment is subject to a range of uncertainties because of either …
agriculture. Such assessment is subject to a range of uncertainties because of either …
Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method
YF Jin, ZY Yin, WH Zhou, S Horpibulsuk - Acta Geotechnica, 2019 - Springer
Parameter identification using Bayesian approach with Markov Chain Monte Carlo (MCMC)
has been verified only for certain conventional simple constitutive models up to now. This …
has been verified only for certain conventional simple constitutive models up to now. This …
Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation
A Attia, S El-Hendawy, N Al-Suhaibani… - Agricultural Water …, 2021 - Elsevier
Water scarcity and rising temperatures are creating serious concerns over the sustainability
of agriculture systems in arid regions of the Middle East and North Africa. The aims were (i) …
of agriculture systems in arid regions of the Middle East and North Africa. The aims were (i) …
Sensitivity of the DSSAT model in simulating maize yield and soil carbon dynamics in arid Mediterranean climate: Effect of soil, genotype and crop management
Crop models may potentially explore alternative ways to improve agroecosystem resilience
in arid regions of Middle East and North Africa. Mapping the outputs behavior as a function …
in arid regions of Middle East and North Africa. Mapping the outputs behavior as a function …
[HTML][HTML] Assessment of climate change impact on water requirement and rice productivity
KJY N'guessan, B Adahi, AB Konan-Waidhet… - Rice Science, 2023 - Elsevier
Assessing the impact of climate change (CC) on agricultural production systems is mainly
done using crop models associated with climate model outputs. This review is one of the …
done using crop models associated with climate model outputs. This review is one of the …
Dealing with uncertainty in agent‐based simulation: farm‐level modeling of adaptation to climate change in southwest Germany
Climate change will most likely confront agricultural producers with natural, economic, and
political conditions that have not previously been observed and are largely uncertain. As a …
political conditions that have not previously been observed and are largely uncertain. As a …