Plant and crop simulation models: powerful tools to link physiology, genetics, and phenomics

Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field

(2019) Paul F. South et al.   SCIENCE

A framework for genomics-informed ecophysiological modeling in plants

(2019) Diane R Wang et al.   JOURNAL OF EXPERIMENTAL BOTANY

Improving process-based crop models to better capture genotype×environment×management interactions

(2019) Enli Wang et al.   JOURNAL OF EXPERIMENTAL BOTANY

Modelling impact of early vigour on wheat yield in dryland regions

(2019) Zhigan Zhao et al.   JOURNAL OF EXPERIMENTAL BOTANY

Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields

(2019) Niteen N Kadam et al.   JOURNAL OF EXPERIMENTAL BOTANY

Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat

(2019) Maeva Baumont et al.   JOURNAL OF EXPERIMENTAL BOTANY

Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality

(2019) Tom De Swaef et al.   JOURNAL OF EXPERIMENTAL BOTANY

Current knowledge and future research opportunities for modeling annual crop mixtures. A review

(2019) Noémie Gaudio et al.   Agronomy for Sustainable Development

Computational botany: advancing plant science through functional–structural plant modelling

(2018) Jochem B Evers et al.   ANNALS OF BOTANY

Parameterising wheat leaf and tiller dynamics for faithful reconstruction of wheat plants by structural plant models

(2018) Mariem Abichou et al.   FIELD CROPS RESEARCH

Multimodel ensembles improve predictions of crop-environment-management interactions

(2018) Daniel Wallach et al.   GLOBAL CHANGE BIOLOGY

Climate change impact and adaptation for wheat protein

(2018) Senthold Asseng et al.   GLOBAL CHANGE BIOLOGY

A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?

(2018) Alexandra J Burgess et al.   JOURNAL OF EXPERIMENTAL BOTANY

Practical steps to digital organism models, from laboratory model species to ‘Crops in silico

(2018) Andrew J Millar et al.   JOURNAL OF EXPERIMENTAL BOTANY

A three-dimensional canopy photosynthesis model in rice with a complete description of the canopy architecture, leaf physiology, and mechanical properties

(2018) Tian-Gen Chang et al.   JOURNAL OF EXPERIMENTAL BOTANY

A multi-model framework for the Arabidopsis life cycle

(2018) Argyris Zardilis et al.   JOURNAL OF EXPERIMENTAL BOTANY

An AgMIP framework for improved agricultural representation in integrated assessment models

(2017) Alex C Ruane et al.   Environmental Research Letters

Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles

(2017) Andrea Maiorano et al.   FIELD CROPS RESEARCH

Contribution of Crop Models to Adaptation in Wheat

(2017) Karine Chenu et al.   TRENDS IN PLANT SCIENCE

Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform

(2017) Amy Marshall-Colon et al.   Frontiers in Plant Science

Use of Crop Growth Models with Whole-Genome Prediction: Application to a Maize Multienvironment Trial

(2016) Mark Cooper et al.   CROP SCIENCE

Improving photosynthesis and crop productivity by accelerating recovery from photoprotection

(2016) Johannes Kromdijk et al.   SCIENCE

Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation

(2015) Frank Technow et al.   PLoS One

APSIM – Evolution towards a new generation of agricultural systems simulation

(2014) Dean P. Holzworth et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

(2014) Tao Li et al.   GLOBAL CHANGE BIOLOGY

Multimodel ensembles of wheat growth: many models are better than one

(2014) Pierre Martre et al.   GLOBAL CHANGE BIOLOGY

How do various maize crop models vary in their responses to climate change factors?

(2014) Simona Bassu et al.   GLOBAL CHANGE BIOLOGY

Can current crop models be used in the phenotyping era for predicting the genetic variability of yield of plants subjected to drought or high temperature?

(2014) Boris Parent et al.   JOURNAL OF EXPERIMENTAL BOTANY

Putting mechanisms into crop production models

(2013) KENNETH J. BOOTE et al.   PLANT CELL AND ENVIRONMENT

Improving Photosynthesis

(2013) J. R. Evans   PLANT PHYSIOLOGY

Uncertainty in simulating wheat yields under climate change

(2013) S. Asseng et al.   Nature Climate Change

The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies

(2012) C. Rosenzweig et al.   AGRICULTURAL AND FOREST METEOROLOGY

Computational models of plant development and form

(2012) Przemyslaw Prusinkiewicz et al.   NEW PHYTOLOGIST

Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A “Gene-to-Phenotype” Modeling Approach

(2009) Karine Chenu et al.   GENETICS

Functional–structural plant modelling: a new versatile tool in crop science

(2009) J. Vos et al.   JOURNAL OF EXPERIMENTAL BOTANY

The vexatious problem of the variation of the phyllochron in wheat

(2008) Peter Jamieson et al.   FIELD CROPS RESEARCH