Functional-structural plant models mission in advancing crop science: opportunities and prospects

Article


Soualiou, Soualihou, Wang, Zhiwei, Sun, Weiwei, de Reffye, Philippe, Collins, Brian, Louarn, Gaëtan and Song, Youhong. 2021. "Functional-structural plant models mission in advancing crop science: opportunities and prospects." Frontiers in Plant Science. 12. https://doi.org/10.3389/fpls.2021.747142
Article Title

Functional-structural plant models mission in advancing crop science: opportunities and prospects

ERA Journal ID200524
Article CategoryArticle
AuthorsSoualiou, Soualihou, Wang, Zhiwei, Sun, Weiwei, de Reffye, Philippe, Collins, Brian, Louarn, Gaëtan and Song, Youhong
Journal TitleFrontiers in Plant Science
Journal Citation12
Article Number747142
Number of Pages12
Year2021
PublisherFrontiers Media SA
Place of PublicationSwitzerland
ISSN1664-462X
Digital Object Identifier (DOI)https://doi.org/10.3389/fpls.2021.747142
Web Address (URL)https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2021.747142/full
Abstract

Functional–structural plant models (FSPMs) have been evolving for over 2 decades and their future development, to some extent, depends on the value of potential applications in crop science. To date, stabilizing crop production by identifying valuable traits for novel cultivars adapted to adverse environments is topical in crop science. Thus, this study will examine how FSPMs are able to address new challenges in crop science for sustainable crop production. FSPMs developed to simulate organogenesis, morphogenesis, and physiological activities under various environments and are amenable to downscale to the tissue, cellular, and molecular level or upscale to the whole plant and ecological level. In a modeling framework with independent and interactive modules, advanced algorithms provide morphophysiological details at various scales. FSPMs are shown to be able to: (i) provide crop ideotypes efficiently for optimizing the resource distribution and use for greater productivity and less disease risk, (ii) guide molecular design breeding via linking molecular basis to plant phenotypes as well as enrich crop models with an additional architectural dimension to assist breeding, and (iii) interact with plant phenotyping for molecular breeding in embracing three-dimensional (3D) architectural traits. This study illustrates that FSPMs have great prospects in speeding up precision breeding for specific environments due to the capacity for guiding and integrating ideotypes, phenotyping, molecular design, and linking molecular basis to target phenotypes. Consequently, the promising great applications of FSPMs in crop science will, in turn, accelerate their evolution and vice versa.

Keywordsfunctional-structural plant modeling; plant architecture; plant phenotyping; genotype to phenotype; assisted molecular breeding
Article Publishing Charge (APC) FundingSchool/Centre
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020310806. Plant physiology
460207. Modelling and simulation
Byline AffiliationsAnhui Agricultural University, China
French Agricultural Research Centre for International Development (CIRAD), France
University of Queensland
National Research Institute for Agriculture, Food and Environment (INRAE), France
Permalink -

https://research.usq.edu.au/item/z558w/functional-structural-plant-models-mission-in-advancing-crop-science-opportunities-and-prospects

Download files


Published Version
fpls-12-747142.pdf
License: CC BY 4.0
File access level: Anyone

  • 5
    total views
  • 3
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Evaluation of meteorological datasets in estimating the water footprint components of wheat and maize (case study: Qazvin, Iran)
Ramezani-Etedali, Hadi, Gorginpaveh, Faraz, Kakvand, Parisa, Elbeltagi, Ahmed and Collins, Brian. 2024. "Evaluation of meteorological datasets in estimating the water footprint components of wheat and maize (case study: Qazvin, Iran)." AIMS Agriculture and Food. 9 (1), pp. 84-107. https://doi.org/10.3934/agrfood.2024006
Application of inclusive multiple model for the prediction of saffron water footprint
Moshizi, Zahra Gerkani Nezhad, Bazrafshan, Ommolbanin, Ramezani Etedali, Hadi, Esmaeilpour, Yahya and Collins, Brian. 2023. "Application of inclusive multiple model for the prediction of saffron water footprint." Agricultural Water Management. 277. https://doi.org/10.1016/j.agwat.2022.108125
Balancing pre- and post-anthesis growth to maximize water-limited yield in cereals
Borrell, Andrew K., Christopher, John T., Kelly, Alison, Collins, Brian and Chenu, Karine. 2023. "Balancing pre- and post-anthesis growth to maximize water-limited yield in cereals." Field Crops Research. 296. https://doi.org/10.1016/j.fcr.2023.108919
An optimal combination of sowing date and cultivar could mitigate the impact of simultaneous heat and drought on rainfed wheat in arid regions
Deihimfard, Reza, Rahimi-Moghaddam, Sajjad, El-Serehy, Hamed and Collins, Brian. 2023. "An optimal combination of sowing date and cultivar could mitigate the impact of simultaneous heat and drought on rainfed wheat in arid regions." European Journal of Agronomy. 147. https://doi.org/10.1016/j.eja.2023.126848
Superior leaf physiological performance contributes to sustaining the final yield of cotton (Gossypium hirsutum L.) genotypes under terminal heat stress
Sarwar, Muhammad, Saleem, Muhammad Farrukh, Ullah, Najeeb, Ali, Asjad, Collins, Brian, Shahid, Muhammad, Munir, Muhammad Kashif, Chung, Sang-Min and Kumar, Manu. 2023. "Superior leaf physiological performance contributes to sustaining the final yield of cotton (Gossypium hirsutum L.) genotypes under terminal heat stress." Physiology and Molecular Biology of Plants. 29 (5), pp. 739-753. https://doi.org/10.1007/s12298-023-01322-8
Water scarcity assessment in Iran’s agricultural sector using the water footprint concept
Dehghanpir, Shahla, Bazrafshan, Ommolbanin, Ramezani-Etedali, Hadi and Collins, Brian. 2023. "Water scarcity assessment in Iran’s agricultural sector using the water footprint concept." Environment, Development and Sustainability: a multidisciplinary approach to the theory and practice of sustainable development. https://doi.org/10.1007/s10668-023-03852-3
Evaluation of water shortage in wheat production in Iran
Dehghanpir, Shahla, Bazrafshan, Ommolbanin, Ramezani-Etedali, Hadi, Holisaz, Arashk and Collins, Brian. 2023. "Evaluation of water shortage in wheat production in Iran." Iranian Journal of Ecohydrology. 9 (4), pp. 719-732.
A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices
Collins, Brian, Attard, Steve, Banhalmi-Zakar, Zsuzsa and Everingham, Yvette. 2023. "A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices." Computers and Electronics in Agriculture. 215. https://doi.org/10.1016/j.compag.2023.108380
Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia
Collins, Brian, Najeeb, Ullah, Luo, Qunying and Tan, Daniel K. Y.. 2022. "Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia." Journal of Agronomy and Crop Science. 208 (2), pp. 225-242. https://doi.org/10.1111/jac.12575
Analysis on heat characteristics for summer maize cropping in a semi-arid region
Wang, Zhiwei, Sun, Weiwei, Liu, Xiaoli, Li, Yangyang, Collins, Brian, Ullah, Najeeb and Song, Youhong. 2022. "Analysis on heat characteristics for summer maize cropping in a semi-arid region." Agronomy. 12 (6). https://doi.org/10.3390/agronomy12061435
A cross-scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments
Wu, Alex, Brider, Jason, Busch, Florian A., Chen, Min, Chenu, Karine, Clarke, Victoria C., Collins, Brian, Ermakova, Maria, Evans, John R., Farquhar, Graham D., Forster, Britta, Furbank, Robert T., Groszmann, Michael, Hernandez‐Prieto, Miguel A., Long, Benedict M., McLean, Greg, Potgieter, Andries, Price, G. Dean, Sharwood, Robert E., ..., Hammer, Graeme L.. 2022. "A cross-scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments." Plant, Cell and Environment. 46 (1), pp. 23-44. https://doi.org/10.1111/pce.14453
The Effect of Past Climate Change on the Water Footprint Trend in Saffron at Homogeneous Agroclimatic Regions of Khorasan
Moshizi, zahra Gerkani Nezhad, Bazrafshan, ommolbanin, Ramezani-Etedali, Hadi, Esmaeilpour, yahya and Collins, Brian. 2022. "The Effect of Past Climate Change on the Water Footprint Trend in Saffron at Homogeneous Agroclimatic Regions of Khorasan ." Journal of Saffron Research. 10 (2), pp. 295-311. https://doi.org/10.22077/JSR.2022.5742.1199
Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran
Paveh, Faraz Gorgin, Ramezani-Etedali, Hadi and Collins, Brian. 2022. "Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran." Journal of Arid Land. 14 (12), pp. 1361-1376. https://doi.org/10.1007/s40333-022-0108-7
Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change
Stella, Tommaso, Webber, Heidi, Olesen, Jørgen E, Ruane, Alex C, Fronzek, Stefan, Bregaglio, Simone, Mamidanna, Sravya, Bindi, Marco, Collins, Brian, Faye, Babacar, Ferrise, Roberto, Fodor, Nandor, Gabaldón-Leal, Clara, Jabloun, Mohamed, Kersebaum, Kurt-Christian, Lizaso, Jon I, Lorite, Ignacio J, Manceau, Loic, Martre, Pierre, ..., Ewert, Frank. 2021. "Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change." Environmental Research Letters. 16 (10). https://doi.org/10.1088/1748-9326/ac2196
Future climate change could reduce irrigated and rainfed wheat water footprint in arid environment
Deihimfard, Reza, Rahimi-Moghaddam, Sajjad, Collins, Brian and Azizi, Khosro. 2021. "Future climate change could reduce irrigated and rainfed wheat water footprint in arid environment." Science of the Total Environment. 807 (3). https://doi.org/10.1016/j.scitotenv.2021.150991