Agricultural production systems modelling and software: current status and future prospects

DP Holzworth, V Snow, S Janssen… - … Modelling & Software, 2015 - Elsevier
During the past decade, the application of agricultural production systems modelling has
rapidly expanded while there has been less emphasis on model improvement. Cropping …

Responses to atmospheric CO2 concentrations in crop simulation models: a review of current simple and semicomplex representations and options for model …

E Vanuytrecht, PJ Thorburn - Global change biology, 2017 - Wiley Online Library
Elevated atmospheric CO 2 concentrations ([CO 2]) cause direct changes in crop
physiological processes (eg photosynthesis and stomatal conductance). To represent these …

Brazilian sugarcane ethanol as an expandable green alternative to crude oil use

D Jaiswal, AP De Souza, S Larsen, DS LeBauer… - Nature Climate …, 2017 - nature.com
Reduction of CO2 emissions will require a transition from fossil fuels to alternative energy
sources. Expansion of Brazilian sugarcane ethanol, provides one near-term scalable …

Are soybean models ready for climate change food impact assessments?

K Kothari, R Battisti, KJ Boote, SV Archontoulis… - European Journal of …, 2022 - Elsevier
An accurate estimation of crop yield under climate change scenarios is essential to quantify
our ability to feed a growing population and develop agronomic adaptations to meet future …

A potato model intercomparison across varying climates and productivity levels

DH Fleisher, B Condori, R Quiroz, A Alva… - Global change …, 2017 - Wiley Online Library
A potato crop multimodel assessment was conducted to quantify variation among models
and evaluate responses to climate change. Nine modeling groups simulated agronomic and …

Sugarcane yield gap analysis in Brazil–A multi-model approach for determining magnitudes and causes

HB Dias, PC Sentelhas - Science of the total environment, 2018 - Elsevier
Brazil is the largest sugarcane producer in the world playing a pivotal role on global ethanol
production. The sugarcane yield levels across the producing regions of the country vary …

Prioritizing crop management to increase nitrogen use efficiency in Australian sugarcane crops

PJ Thorburn, JS Biggs, J Palmer, EA Meier… - Frontiers in Plant …, 2017 - frontiersin.org
Sugarcane production relies on the application of large amounts of nitrogen (N) fertilizer.
However, application of N in excess of crop needs can lead to loss of N to the environment …

An AgMIP framework for improved agricultural representation in integrated assessment models

AC Ruane, C Rosenzweig, S Asseng… - Environmental …, 2017 - iopscience.iop.org
Integrated assessment models (IAMs) hold great potential to assess how future agricultural
systems will be shaped by socioeconomic development, technological innovation, and …

Modelling crops and cropping systems—Evolving purpose, practice and prospects

BA Keating, PJ Thorburn - European Journal of Agronomy, 2018 - Elsevier
Crops and cropping systems are characterised by complexity and variability. Complexity
arises from inherently complex plant and soil processes combined in an almost infinite set of …

Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields

HB Dias, PC Sentelhas - Field Crops Research, 2017 - Elsevier
The sugarcane production system is very complex, involving a large number of variables,
namely genotype, environmental conditions and crop management, which define yield level …