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Start Over Author "Geo-Information Science and Remote Sensing Laboratory" Topic 0106 biological sciences
2 results on '"Geo-Information Science and Remote Sensing Laboratory"'

1. Enabling reusability of plant phenomic datasets with MIAPPE 1.1

Author

François Tardieu, Cyril Pommier, Célia Michotey, Bruno Costa, Stephan Weise, Bert Droesbeke, Graham J.W. King, Astrid Junker, Philippe Rocca-Serra, Guillaume Cornut, Hanna Ćwiek-Kupczyńska, Markus Oppermann, Célia Miguel, Daniel Faria, Björn Usadel, Cristobal Uauy, Paweł Krajewski, Jochen C. Reif, Susanna-Assunta Sansone, Živa Ramšak, Uwe Scholz, Richard G. F. Visser, Evangelia Papoutsoglou, Ioannis N. Athanasiadis, Daniel Arend, Inês Chaves, Hendrik Poorter, Richard Finkers, Marie-Angélique Laporte, Kristina Gruden, Elizabeth Arnaud, Ricardo H. Ramirez-Gonzalez, Paul J. Kersey, Anne-Françoise Adam-Blondon, Frederik Coppens, Richard Ostler, Matthias Lange, Wageningen University and Research [Wageningen] (WUR), Instituto Gulbenkian de Ciência [Oeiras] (IGC), Fundação Calouste Gulbenkian, Instituto de Engenharia de Sistemas e Computadores (INESC), Leibniz Institute of Plant Genetics and Crop Plant Research [Gatersleben] (IPK-Gatersleben), Bioversity International [Montpellier], Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Geo-Information Science and Remote Sensing Laboratory, Instituto de Tecnologia Química e Biológica António Xavier (ITQB), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Instituto de Biologia Experimental e Tecnológica (IBET), Department of plant Biotechnology and Bioinformatics, University of Gent, VIBUGent Center for Plant Systems Biology, Unité de Recherche Génomique Info (URGI), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), BioISI, Universidade de Lisboa (ULISBOA), Polish Academy of Sciences, Institute of Plant Genetics, Department of Integrative Plant Biology, Partenaires INRAE, Department of Biotechnology and Systems Biology, National Institute of Biology [Ljubljana] (NIB), Southern Cross Plant Science, Southern Cross University (SCU), Computational and Analytical Sciences, Rothamsted Research, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, University North Ryde, John Innes Centre [Norwich], University of Oxford [Oxford], Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), RWTH Aachen University, Royal Botanic Gardens, Kew Richmond, European Project: 676559,H2020,H2020-INFRADEV-1-2015-1,ELIXIR-EXCELERATE(2015), European Project: 739514,EMPHASIS-PREP, European Project: 634107,H2020,H2020-PHC-2014-two-stage,MULTIMOT(2015), European Project: 654241,H2020,H2020-EINFRA-2014-2,PhenoMeNal(2015), Universiteit Gent = Ghent University (UGENT), Universidade de Lisboa = University of Lisbon (ULISBOA), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Biotechnology and Biological Sciences Research Council (BBSRC), University of Oxford, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH)

Subjects
0106 biological sciences, 0301 basic medicine, Computer science, Physiology, Interoperability, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, WASS, interoperability, Plant Science, MINIMUM INFORMATION, 01 natural sciences, Domain (software engineering), law.invention, 03 medical and health sciences, plant phenotyping, Laboratorium voor Plantenveredeling, Knowledge extraction, Laboratory of Geo-information Science and Remote Sensing, law, Methods, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Laboratorium voor Geo-informatiekunde en Remote Sensing, Implementation, Reusability, Research, metadata, Biology and Life Sciences, phenomics, Plants, findability, PE&RC, Data science, ONTOLOGIES, Metadata, Plant Breeding, 030104 developmental biology, ddc:580, Data model, VOCABULARY, CLARITY, reusability, standards, EPS, 010606 plant biology & botany, REPOSITORY
Abstract

The new phytologist 227(1), 260-273 (2020). doi:10.1111/nph.16544, Published by Wiley-Blackwell, Oxford [u.a.]

Published
2020
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2. Analysis of interactions amongst shade trees, coffee foliar diseases and coffee yield in multistrata agroforestry systems

Author

Clémentine Durand-Bessart, Alcide Quinteros, Philippe Tixier, Camille Tauvel, Clémentine Allinne, Federico Andreotti, Bruno Rapidel, Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Fonctionnement écologique et gestion durable des agrosystèmes bananiers et ananas (UR GECO), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Wageningen University and Research [Wageningen] (WUR), Geo-Information Science and Remote Sensing Laboratory, Performance des systèmes de culture des plantes pérennes (UPR Système de pérennes), and This research was financially supported by the STRADIV project (grant n° 1504-003) funded by Agropolis Fondation.

Subjects
0106 biological sciences, Agroecosystem, Mode de culture, [SDV]Life Sciences [q-bio], F08 - Systèmes et modes de culture, Arbre d'ombrage, Trade-off, Agroforesterie, 01 natural sciences, Interactions biologiques, Maladie des plantes, Laboratory of Geo-information Science and Remote Sensing, Yield (wine), Dose effect, health care economics and organizations, 2. Zero hunger, Agroforestry, Feuille, food and beverages, Coffea arabica, PE&RC, humanities, Physiologie végétale, Rendement des cultures, Structural equation modelling, Biology, Soil characteristics, Ecological processes, Disease severity, Disease management (agriculture), Fertilité du sol, Qualité du sol, Disease regulation, Laboratorium voor Geo-informatiekunde en Remote Sensing, H20 - Maladies des plantes, Tree-shade impact, fungi, Central America, 15. Life on land, Soil quality, Ombrage, 010602 entomology, Plant diversity, Litter, Agronomy and Crop Science, 010606 plant biology & botany
Abstract

International audience; In complex coffee-based agroforestry systems, quantifying the impact of shade trees on coffee disease regulation and coffee yield is crucial for improving these systems and designing more sustainable ones. To this end, we analyzed interactions amongst shade trees, coffee plants (cv. Catimor), the coffee foliar disease complex and soil characteristics. We studied systems characterized by 40 variables measured in 60 plots located on three farms (monitored for 2 years) in Nicaragua. These variables characterized six system components grouped in six statistical blocks: shade trees (shade percentage and species abundancy), soil characteristics (fertility), foliar diseases, coffee plant characteristics (age and size), coffee growth and yield. We used partial least square path modelling (PLS-PM), i.e. a structural equation modelling approach used to understand and quantify interactions between the six blocks. Shade trees (mostly the associated shade percentage) had direct positive effects on foliar disease severity and incidence and soil quality, while having negative effects on coffee growth and yield. Soil characteristics (carbon, nitrogen, litter index, water infiltration potential) were negatively correlated with foliar diseases. An excessive shade percentage then had an indirect negative effect on coffee growth and yield due to the increased prevalence of foliar diseases. Finding the optimal shade cover can help reduce foliar diseases and enhance coffee berry production. The 'dose effect' of shade cover must also be considered because excessive shade, as well as lack of shade, have negative impacts on coffee growth and yield. Overall, effective shade management requires an analysis of trade-offs between soil quality, disease regulation and yield gains. In conclusion, PLS-PM turned out to be a good tool for studying agroecosystem networks and enabled us to put forward some foliar disease management and coffee yield enhancement guidelines.

Published
2020
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