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Your search keyword '"ANR-17-MPGA-0004,ASSET,AgrobiodiverSity for a food-Secure planET(2017)"' showing total 2 results
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2 results on '"ANR-17-MPGA-0004,ASSET,AgrobiodiverSity for a food-Secure planET(2017)"'

1. Crop mixtures outperform rotations and landscape mosaics in regulation of two fungal wheat pathogens: a simulation study

Author

P.-A. Précigout, D. Renard, J. Sanner, D. Claessen, C. Robert, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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)-Université de Montpellier (UM), Center for Environmental Remote Sensing [Chiba] (CEReS), Chiba University, and ANR-17-MPGA-0004,ASSET,AgrobiodiverSity for a food-Secure planET(2017)

Subjects
Crop mixtures, Mathematical modelling, Ecology, Landscape mosaics, [SDE]Environmental Sciences, Geography, Planning and Development, Crop diversity, Biocontrol, Crop rotations, Nature and Landscape Conservation
Abstract

International audience; Context Crop rotations, within-field mixtures, and landscape mosaics including susceptible and resistant crops are three commonly adopted crop diversification strategies that can limit crop epidemics. Typically, the effects of crop diversification at these three scales have been studied separately, on single pathogen species, and with low environmental variability. Objectives We aim to compare the disease-limitation effect of these three types of crop diversification on two highly damaging fungal pathogens of wheat Puccinia recondita (WLR) and Zymoseptoria tritici (STB) and under varying weather conditions (warmer or cooler climate for WLR, wetter or drier conditions for STB). Methods We built a dynamic mathematical model of epidemics at the field scale (based on classical Susceptible-Exposed-Infectious-Removed epidemiological models) embedded in a spatially explicit landscape grid framework. We use it to simulate an agricultural landscape in which diversification translates into different proportions of wheat and resistant crops in the landscape. Results In our simulations, for both pathogens and in all weather conditions, within-field crop mixtures had the greatest impact in limiting epidemics, crop rotations were second-best, while landscape mosaics were the least effective. We also found that the threshold above which further addition of resistant plants to crop mixtures would not cause further disease limitation to be dependent on weather conditions. The more favorable the weather is for pathogens the more resistant plants are required. Conclusions Our findings imply that interactions between spatial scale of crop diversification, pathogen characteristics and weather conditions should be considered in order to maximize benefits from disease-regulation properties of diversified cropping systems under climate change.

Published
2022
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2. Matches and mismatches between the global distribution of major food crops and climate suitability

Author

Lucie Mahaut, Samuel Pironon, Jean-Yves Barnagaud, François Bretagnolle, Colin K. Khoury, Zia Mehrabi, Ruben Milla, Charlotte Phillips, Loren H. Rieseberg, Cyrille Violle, Delphine Renard, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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)-Université de Montpellier (UM), Royal Botanic Gardens [Kew], United Nations Environment Programme (UNEP) World Conservation Monitoring Center (WCMC) (UNEP WCMC), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), International Center for Tropical Agriculture [Colombie] (CIAT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), San Diego Botanic Garden, Institute for Resources, Environment, and Sustainability, University of British Columbia (UBC), Universidad Rey Juan Carlos [Madrid] (URJC), Department of Botany and Biodiversity Research Centre, L.H.R.’s research on sunflower climateadaptation is funded by Genome Canada, Genome BC andThe Natural Sciences and Engineering Research Council of Canada.The Ministry of Economy and Competitivy of Spain (GrantsCGL2014-56567-R and CGL2017-83855-R, Ministerio de Economía yCompetitividad, Spain) fund R.M. research on crop’s wild progenitors.S.P. thanks the Bentham-Moxon Trust for funding a short stayat the University of British Columbia (BMT35-2017).C.K.K. was supportedby grant no. 2019-67012-29733/project accession no. 1019405from the USDA National Institute of Food and Agriculture., ANR-17-MPGA-0004,ASSET,AgrobiodiverSity for a food-Secure planET(2017), and European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015)

Subjects
Crops, Agricultural, climate suitability, MESH: Humans, Farms, General Immunology and Microbiology, Climate Change, MESH: Climate Change, climatic niche, global agriculture, crop biogeography, Agriculture, General Medicine, MESH: Crops, Agricultural, General Biochemistry, Genetics and Molecular Biology, Humans, MESH: Ecosystem, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, General Agricultural and Biological Sciences, MESH: Farms, MESH: Agriculture, Ecosystem, General Environmental Science
Abstract

10 pages; International audience; Over the course of history, humans have moved crops from their regions of origin to new locations across the world. The social, cultural and economic drivers of these movements have generated differences not only between current distributions of crops and their climatic origins, but also between crop distributions and climate suitability for their production. Although these mismatches are particularly important to inform agricultural strategies on climate change adaptation, they have, to date, not been quantified consistently at the global level. Here, we show that the relationships between the distributions of 12 major food crops and climate suitability for their yields display strong variation globally. After investigating the role of biophysical, socio-economic and historical factors, we report that high-income world regions display a better match between crop distribution and climate suitability. In addition, although crops are farmed predominantly in the same climatic range as their wild progenitors, climate suitability is not necessarily higher there, a pattern that reflects the legacy of domestication history on current crop distribution. Our results reveal how far the global distribution of major crops diverges from their climatic optima and call for greater consideration of the multiple dimensions of the crop socio-ecological niche in climate change adaptive strategies.

Published
2023
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