TY  - JOUR
A1  - Wang, Ming
A1  - White, Neil
A1  - Grimm, Volker
A1  - Hofman, Helen
A1  - Doley, David
A1  - Thorp, Grant
A1  - Cribb, Bronwen
A1  - Wherritt, Ella
A1  - Han, Liqi
A1  - Wilkie, John
A1  - Hanan, Jim
T1  - Pattern-oriented modelling as a novel way to verify and validate functional-structural plant models
BT  - a demonstration with the annual growth module of avocado
JF  - Annals of botany
N2  - Background and Aims Functional-structural plant (FSP) models have been widely used to understand the complex interactions between plant architecture and underlying developmental mechanisms. However, to obtain evidence that a model captures these mechanisms correctly, a clear distinction must be made between model outputs used for calibration and thus verification, and outputs used for validation. In pattern-oriented modelling (POM), multiple verification patterns are used as filters for rejecting unrealistic model structures and parameter combinations, while a second, independent set of patterns is used for validation. Key Results After calibration, our model simultaneously reproduced multiple observed architectural patterns. The model then successfully predicted, without further calibration, the validation patterns. The model supports the hypothesis that carbon allocation can be modelled as being dependent on current organ biomass and sink strength of each organ type, and also predicted the observed developmental timing of the leaf sink-source transition stage.
KW  - Pattern-oriented modelling
KW  - agent-based model
KW  - individual-based model
KW  - functional-structural plant model
KW  - model analysis
KW  - model verification
KW  - model validation
KW  - ODD (Overview, Design concepts, Details) protocol
KW  - Persea americana
KW  - plant architecture
KW  - carbon allocation
KW  - L-systems
Y1  - 2018
U6  - https://doi.org/10.1093/aob/mcx187
SN  - 0305-7364
SN  - 1095-8290
VL  - 121
IS  - 5
SP  - 941
EP  - 959
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Cordeiro, Andre M.
A1  - Andrade, Luis
A1  - Monteiro, Catarina C.
A1  - Leitao, Guilherme
A1  - Wigge, Philip Anthony
A1  - Saibo, Nelson J. M.
T1  - Phytochrome-interacting factors
BT  - a promising tool to improve crop productivity
JF  - Journal of experimental botany
N2  - Review exploring the regulation of PHYTOCHROME-INTERACTING FACTORS by light, their role in abiotic stress tolerance and plant architecture, and their influence on crop productivity. 
Light is a key determinant for plant growth, development, and ultimately yield. Phytochromes, red/far-red photoreceptors, play an important role in plant architecture, stress tolerance, and productivity. In the model plant Arabidopsis, it has been shown that PHYTOCHROME-INTERACTING FACTORS (PIFs; bHLH transcription factors) act as central hubs in the integration of external stimuli to regulate plant development. Recent studies have unveiled the importance of PIFs in crops. They are involved in the modulation of plant architecture and productivity through the regulation of cell division and elongation in response to different environmental cues. These studies show that different PIFs have overlapping but also distinct functions in the regulation of plant growth. Therefore, understanding the molecular mechanisms by which PIFs regulate plant development is crucial to improve crop productivity under both optimal and adverse environmental conditions. In this review, we discuss current knowledge of PIFs acting as integrators of light and other signals in different crops, with particular focus on the role of PIFs in responding to different environmental conditions and how this can be used to improve crop productivity.
KW  - Cold
KW  - drought
KW  - grain size
KW  - heat
KW  - light signaling
KW  - phytochrome
KW  - PIF
KW  - plant architecture
KW  - plant breeding
KW  - plant yield
KW  - salinity
Y1  - 2022
U6  - https://doi.org/10.1093/jxb/erac142
SN  - 0022-0957
SN  - 1460-2431
VL  - 73
IS  - 12
SP  - 3881
EP  - 3897
PB  - Oxford Univ. Press
CY  - Oxford
ER  -