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410 results on '"Pagès, Loïc"'

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

Author

Gaudio, Noémie, Escobar-Gutiérrez, Abraham J., Casadebaig, Pierre, Evers, Jochem B., Gérard, Frédéric, Louarn, Gaëtan, Colbach, Nathalie, Munz, Sebastian, Launay, Marie, Marrou, Hélène, Barillot, Romain, Hinsinger, Philippe, Bergez, Jacques-Eric, Combes, Didier, Durand, Jean-Louis, Frak, Ela, Pagès, Loïc, Pradal, Christophe, Saint-Jean, Sébastien, Van Der Werf, Wopke, and Justes, Eric

Subjects
Quantitative Biology - Populations and Evolution, Quantitative Biology - Quantitative Methods
Abstract

Growing mixtures of annual arable crop species or genotypes is a promising way to improve crop production without increasing agricultural inputs. To design optimal crop mixtures, choices of species, genotypes, sowing proportion, plant arrangement, and sowing date need to be made but field experiments alone are not sufficient to explore such a large range of factors. Crop modeling allows to study, understand and ultimately design cropping systems and is an established method for sole crops. Recently, modeling started to be applied to annual crop mixtures as well. Here, we review to what extent crop simulation models and individual-based models are suitable to capture and predict the specificities of annual crop mixtures. We argued that: 1) The crop mixture spatio-temporal heterogeneity (influencing the occurrence of ecological processes) determines the choice of the modeling approach (plant or crop centered). 2) Only few crop models (adapted from sole crop models) and individual-based models currently exist to simulate annual crop mixtures. 3) Crop models are mainly used to address issues related to crop mixtures management and to the integration of crop mixtures into larger scales such as the rotation, whereas individual-based models are mainly used to identify plant traits involved in crop mixture performance and to quantify the relative contribution of the different ecological processes (niche complementarity, facilitation, competition, plasticity) to crop mixture functioning. This review highlights that modeling of annual crop mixtures is in its infancy and gives to model users some important keys to choose the model based on the questions they want to answer, with awareness of the strengths and weaknesses of each of the modeling approaches., Comment: 42 pages, 5 figures

Published
2019
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33. A novel phenotyping pipeline for root system architecture : evaluation with diversity panels of bread and durum wheat

Author

UCL - SST/ELI/ELIA - Agronomy, UCL - Ingénierie biologique, agronomique et environnementale, Draye, Xavier, Gaspart, Frédéric, Chenu, Karine, Lobet, Guillaume, Muller, Bertrand, Pagès, Loïc, Collet, Clothilde, UCL - SST/ELI/ELIA - Agronomy, UCL - Ingénierie biologique, agronomique et environnementale, Draye, Xavier, Gaspart, Frédéric, Chenu, Karine, Lobet, Guillaume, Muller, Bertrand, Pagès, Loïc, and Collet, Clothilde

Abstract

Plant root systems are responsible for the capture of soil water and minerals essential for their growth. With the need to reduce fertiliser use and improve resilience to extreme climate events, improving resource capture efficiency has become a hot topic in agriculture. This includes optimising root distribution in soils via appropriate root system architecture and growth. Root systems are often described using integrative variables, e.g. number and biomass, that are cost-effective but provide limited cues on root distribution. Modelling studies have shown that root systems can also be described using process variables, depicting growth and development processes. These are expected to be more closely connected to the underlying biology than the integrative variables and to lead more directly to optimisation paths. In this thesis, we created a novel high-throughput phenotyping pipeline of plants grown in aeroponics. This pipeline exploits high spatial and temporal resolution image series to estimate process variables from simple morphologic features, with very limited computing resources. It was used to analyse the genetic architecture of process and integrative variables on diversity panels of bread and durum wheat (500 genotypes) and was evaluated against independent experiments (pouches, rhizotubes and field). We demonstrated that process information can be estimated easily from simple morphologic features if dense time series are available. We also showed that lateral root formation, despite being highly variable along the root system, can be constant when cumulated at the whole plant level. Cross-experiment validation revealed that genotypic differences for process variables were largely environment-specific. Finally, the genetic architecture of process variables was not found to be simpler than that of the integrative ones., (AGRO - Sciences agronomiques et ingénierie biologique) -- UCL, 2022

Published
2022

38. Corrigendum

Author

Bengough, A. Glyn, primary, Blancaflor, Elison B., additional, Brunner, Ivano, additional, Comas, Louise H., additional, Freschet, Grégoire T., additional, Gessler, Arthur, additional, Iversen, Colleen M., additional, Janěcek, Štěpán, additional, Kliměsová, Jitka, additional, Lambers, Hans, additional, McCormack, M. Luke, additional, Meier, Ina C., additional, Mommer, Liesje, additional, Pagès, Loïc, additional, Poorter, Hendrik, additional, Postma, Johannes A., additional, Rewald, Boris, additional, Rose, Laura, additional, Roumet, Catherine, additional, Ryser, Peter, additional, Salmon, Verity, additional, Scherer‐Lorenzen, Michael, additional, Soudzilovskaia, Nadejda A., additional, Tharayil, Nishanth, additional, Valverde‐Barrantes, Oscar J., additional, Weemstra, Monique, additional, Weigelt, Alexandra, additional, Wurzburger, Nina, additional, York, Larry M., additional, and Zadworny, Marcin, additional

Published
2022
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