Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆

In order to make more efficient plant breeding and gain in competitiveness, the sector of oil-protein crops decided to intensify agronomic research on sunflower crop. The “Sunflower” Joint Technological Unit (Unité Mixte Technologique (UMT) “Tournesol”, in French) was launched in the Toulouse area i...

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Main Authors: Debaeke Philippe, Bret-Mestries Emmanuelle, Aubertot Jean-Noël, Casadebaig Pierre, Champolivier Luc, Dejoux Jean-François, Maury Pierre, Seassau Célia
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:Oilseeds and fats, crops and lipids
Subjects:
Online Access:https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200011/ocl200011.html
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author Debaeke Philippe
Bret-Mestries Emmanuelle
Aubertot Jean-Noël
Casadebaig Pierre
Champolivier Luc
Dejoux Jean-François
Maury Pierre
Seassau Célia
author_facet Debaeke Philippe
Bret-Mestries Emmanuelle
Aubertot Jean-Noël
Casadebaig Pierre
Champolivier Luc
Dejoux Jean-François
Maury Pierre
Seassau Célia
author_sort Debaeke Philippe
collection DOAJ
description In order to make more efficient plant breeding and gain in competitiveness, the sector of oil-protein crops decided to intensify agronomic research on sunflower crop. The “Sunflower” Joint Technological Unit (Unité Mixte Technologique (UMT) “Tournesol”, in French) was launched in the Toulouse area in 2006, associating closely INRA and Terres Inovia. First focused on improving oil production through an agronomic approach, the UMT was renewed in 2011 with a broader partnership and a more assertive orientation towards the development of decision-making tools. The objective of this paper is to highlight the relevance and productivity of this user-oriented research facility. The main results relate to (i) the co-construction of a simulation model (SUNFLO) that can be parameterized and manipulated by Terres Inovia engineers, (ii) the joint exploration of supra-field scales and new methods for agronomic diagnosis and yield forecasting based on remote sensing, (iii) the tuning and dissemination of operational decision rules, (iv) the production of essential knowledge on emergent and/or damaging fungal diseases, as well as on complex interactions between genotype, environment and crop management. After a concluding symposium in 2016, new requests for sunflower research were formulated by the participants. They also advocated for a diversification of crops to consider in order to better meet the needs of the whole oil-protein sector.
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spelling doaj.art-c00045ec408744df8e398582c5320fec2022-12-21T19:41:51ZengEDP SciencesOilseeds and fats, crops and lipids2272-69772257-66142020-01-01271410.1051/ocl/2020006ocl200011Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆Debaeke Philippe0Bret-Mestries Emmanuelle1Aubertot Jean-Noël2Casadebaig Pierre3Champolivier Luc4Dejoux Jean-François5Maury PierreSeassau CéliaINRAE, UMR AGIR, CS 52627Terres Inovia, Centre INRAE de Toulouse, CS 52627INRAE, UMR AGIR, CS 52627INRAE, UMR AGIR, CS 52627Terres Inovia, Centre INRAE de Toulouse, CS 52627CESBioIn order to make more efficient plant breeding and gain in competitiveness, the sector of oil-protein crops decided to intensify agronomic research on sunflower crop. The “Sunflower” Joint Technological Unit (Unité Mixte Technologique (UMT) “Tournesol”, in French) was launched in the Toulouse area in 2006, associating closely INRA and Terres Inovia. First focused on improving oil production through an agronomic approach, the UMT was renewed in 2011 with a broader partnership and a more assertive orientation towards the development of decision-making tools. The objective of this paper is to highlight the relevance and productivity of this user-oriented research facility. The main results relate to (i) the co-construction of a simulation model (SUNFLO) that can be parameterized and manipulated by Terres Inovia engineers, (ii) the joint exploration of supra-field scales and new methods for agronomic diagnosis and yield forecasting based on remote sensing, (iii) the tuning and dissemination of operational decision rules, (iv) the production of essential knowledge on emergent and/or damaging fungal diseases, as well as on complex interactions between genotype, environment and crop management. After a concluding symposium in 2016, new requests for sunflower research were formulated by the participants. They also advocated for a diversification of crops to consider in order to better meet the needs of the whole oil-protein sector.https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200011/ocl200011.htmlsunflowercollaborative researchagronomydecision supportoil concentration
spellingShingle Debaeke Philippe
Bret-Mestries Emmanuelle
Aubertot Jean-Noël
Casadebaig Pierre
Champolivier Luc
Dejoux Jean-François
Maury Pierre
Seassau Célia
Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
Oilseeds and fats, crops and lipids
sunflower
collaborative research
agronomy
decision support
oil concentration
title Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
title_full Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
title_fullStr Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
title_full_unstemmed Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
title_short Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse☆☆☆
title_sort sunflower agronomy 10 years of research in partnership within the sunflower technological joint unit umt in toulouse☆☆☆
topic sunflower
collaborative research
agronomy
decision support
oil concentration
url https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200011/ocl200011.html
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