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  1. AU="Alcalá-Briseño, R.I."
  2. AU="Mokhtari, Zeinab"

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  1. Article ; Online: Are avocados toast? A framework to analyze decision-making for emerging epidemics, applied to laurel wilt

    Etherton, Berea A. / Choudhury, R.A. / Alcalá-Briseño, R.I. / Xing, Y. / Plex Sulá, A.I. / Carrillo, D. / Wasielewski, J. / Stelinski, L.L. / Grogan, K.A. / Ballen, F. / Blare, T. / Crane, J. / Garrett, K.A.

    Agricultural Systems. 2023 Mar., v. 206 p.103615-

    2023  

    Abstract: When emerging pathogens threaten global food security, collective action for disease management is key for protecting food systems. We evaluate how the informal exchange of information about epidemic and economic outcomes can influence the management ... ...

    Abstract When emerging pathogens threaten global food security, collective action for disease management is key for protecting food systems. We evaluate how the informal exchange of information about epidemic and economic outcomes can influence the management decisions of individuals and the resulting epidemics, in the context of the avocado laurel wilt epidemic in south Florida. In scenario analyses, we addressed how socioeconomic networks, laurel wilt epidemic networks, policy incentive structures, and social behaviors combine to influence (a) information exchange across this region, (b) growers' decisions about disease management, and (c) epidemic spread and yield loss. We identified the scenarios in which regional avocado health fared best. We built an agent-based model to simulate laurel wilt epidemic expansion and establishment across south Florida over a 10-year period. The model used parameters specific to patterns observed and quantified from the laurel wilt epidemic in south Florida. Based on the locations and sizes of avocado orchards there, we simulated disease expansion and information dissemination through multilayer socioeconomic and epidemic networks and evaluated the effects of "carrot" and "stick" policy incentive structures and behaviors like "stubbornness" in decision making. Scenarios were simulated for multiple parameters across a 10-year time period, and the regional health of avocado and management decisions of growers were analyzed. Increased social connections led to lower regional crop health due to increased exchange of information reinforcing selection of less expensive but less effective management choices. This information exchange was particularly impactful during the lag phase of epidemic expansion, when the cost of disease management outweighed the cost of disease. Managers who were resistant or "stubborn" against adopting these less expensive and less effective management strategies, particularly during the lag phase of epidemic expansion, contributed to greater regional health. In these scenarios, growers responded more to policies which penalized individuals than to policies which rewarded individuals. By quantifying varying degrees of stubbornness, and how growers may weight past experiences and new information, we represented key aspects of decision making and its many influences on regional collective action in this novel agent-based model. The model demonstrates the caveats of information exchange across social networks during epidemics, and the valuable role that policy makers and informed educators can have, particularly during the lag phase of epidemic expansion. Decision makers and stakeholders must understand the influences of information exchange to overcome the challenges of collective action for crop health.
    Keywords avocados ; collective action ; decision making ; disease control ; food security ; information dissemination ; information exchange ; issues and policy ; laurel wilt ; simulation models ; stakeholders ; Florida ; Network analysis ; Invasion biology ; Avocado laurel wilt ; Epidemiology ; Agent-based model ; Decision support
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 413255-5
    ISSN 0308-521X
    ISSN 0308-521X
    DOI 10.1016/j.agsy.2023.103615
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Blueberry red ringspot virus genomes from Florida inferred through analysis of blueberry root transcriptomes.

    Saad, N / Alcalá-Briseño, R I / Polston, J E / Olmstead, J W / Varsani, A / Harmon, P F

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 12043

    Abstract: A growing number of metagenomics-based approaches have been used for the discovery of viruses in insects, cultivated plants, and water in agricultural production systems. In this study, sixteen blueberry root transcriptomes from eight clonally propagated ...

    Abstract A growing number of metagenomics-based approaches have been used for the discovery of viruses in insects, cultivated plants, and water in agricultural production systems. In this study, sixteen blueberry root transcriptomes from eight clonally propagated blueberry plants of cultivar 'Emerald' (interspecific hybrid of Vaccinium corymbosum and V. darrowi) generated as part of a separate study on varietal tolerance to soil salinity were analyzed for plant viral sequences. The objective was to determine if the asymptomatic plants harbored the latent blueberry red ringspot virus (BRRV) in their roots. The only currently known mechanism of transmission of BRRV is through vegetative propagation; however, the virus can remain latent for years with some plants of 'Emerald' never developing red ringspot symptoms. Bioinformatic analyses of 'Emerald' transcriptomes using de novo assembly and reference-based mapping approaches yielded eight complete viral genomes of BRRV (genus Soymovirus, family Caulimoviridae). Validation in vitro by PCR confirmed the presence of BRRV in 100% of the 'Emerald' root samples. Sequence and phylogenetic analyses showed 94% to 97% nucleotide identity between BRRV genomes from Florida and sequences from Czech Republic, Japan, Poland, Slovenia, and the United States. Taken together, this study documented the first detection of a complete BRRV genome from roots of asymptomatic blueberry plants and in Florida through in silico analysis of plant transcriptomes.
    MeSH term(s) Blueberry Plants/genetics ; Blueberry Plants/virology ; Evolution, Molecular ; Gene Expression Profiling ; Genome, Viral/genetics ; Host-Pathogen Interactions ; Phylogeny ; Plant Diseases/genetics ; Plant Diseases/virology ; Plant Roots/genetics ; Plant Roots/virology ; Plant Viruses/classification ; Plant Viruses/genetics ; Transcriptome
    Language English
    Publishing date 2020-07-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-68654-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Effective Altruism as an Ethical Lens on Research Priorities.

    Garrett, K A / Alcalá-Briseño, R I / Andersen, K F / Brawner, J / Choudhury, R A / Delaquis, E / Fayette, J / Poudel, R / Purves, D / Rothschild, J / Small, I M / Thomas-Sharma, S / Xing, Y

    Phytopathology

    2020  Volume 110, Issue 4, Page(s) 708–722

    Abstract: Effective altruism is an ethical framework for identifying the greatest potential benefits from investments. Here, we apply effective altruism concepts to maximize research benefits through identification of priority stakeholders, pathosystems, and ... ...

    Abstract Effective altruism is an ethical framework for identifying the greatest potential benefits from investments. Here, we apply effective altruism concepts to maximize research benefits through identification of priority stakeholders, pathosystems, and research questions and technologies. Priority stakeholders for research benefits may include smallholder farmers who have not yet attained the minimal standards set out by the United Nations Sustainable Development Goals; these farmers would often have the most to gain from better crop disease management, if their management problems are tractable. In wildlands, prioritization has been based on the risk of extirpating keystone species, protecting ecosystem services, and preserving wild resources of importance to vulnerable people. Pathosystems may be prioritized based on yield and quality loss, and also factors such as whether other researchers would be unlikely to replace the research efforts if efforts were withdrawn, such as in the case of orphan crops and orphan pathosystems. Research products that help build sustainable and resilient systems can be particularly beneficial. The "value of information" from research can be evaluated in epidemic networks and landscapes, to identify priority locations for both benefits to individuals and to constrain regional epidemics. As decision-making becomes more consolidated and more networked in digital agricultural systems, the range of ethical considerations expands. Low-likelihood but high-damage scenarios such as generalist doomsday pathogens may be research priorities because of the extreme potential cost. Regional microbiomes constitute a commons, and avoiding the "tragedy of the microbiome commons" may depend on shifting research products from "common pool goods" to "public goods" or other categories. We provide suggestions for how individual researchers and funders may make altruism-driven research more effective.[Formula: see text] Copyright © 2020 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
    MeSH term(s) Agriculture ; Altruism ; Crops, Agricultural ; Ecosystem ; Humans ; Plant Diseases
    Language English
    Publishing date 2020-02-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208889-7
    ISSN 1943-7684 ; 0031-949X
    ISSN (online) 1943-7684
    ISSN 0031-949X
    DOI 10.1094/PHYTO-05-19-0168-RVW
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Network Analysis: A Systems Framework to Address Grand Challenges in Plant Pathology.

    Garrett, K A / Alcalá-Briseño, R I / Andersen, K F / Buddenhagen, C E / Choudhury, R A / Fulton, J C / Hernandez Nopsa, J F / Poudel, R / Xing, Y

    Annual review of phytopathology

    2018  Volume 56, Page(s) 559–580

    Abstract: Plant pathology must address a number of challenges, most of which are characterized by complexity. Network analysis offers useful tools for addressing complex systems and an opportunity for synthesis within plant pathology and between it and relevant ... ...

    Abstract Plant pathology must address a number of challenges, most of which are characterized by complexity. Network analysis offers useful tools for addressing complex systems and an opportunity for synthesis within plant pathology and between it and relevant disciplines such as in the social sciences. We discuss applications of network analysis, which ultimately may be integrated together into more synthetic analyses of how to optimize plant disease management systems. The analysis of microbiome networks and tripartite phytobiome networks of host-vector-pathogen interactions offers promise for identifying biocontrol strategies and anticipating disease emergence. Linking epidemic network analysis with social network analysis will support strategies for sustainable agricultural development and for scaling up solutions for disease management. Statistical tools for evaluating networks, such as Bayesian network analysis and exponential random graph models, have been underused in plant pathology and are promising for informing strategies. We conclude with research priorities for network analysis applications in plant pathology.
    MeSH term(s) Agriculture/instrumentation ; Agriculture/methods ; Bayes Theorem ; Host-Pathogen Interactions ; Microbiota ; Plant Diseases/microbiology ; Plant Pathology/instrumentation ; Plants/microbiology
    Language English
    Publishing date 2018-07-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Review
    ZDB-ID 207934-3
    ISSN 1545-2107 ; 0066-4286
    ISSN (online) 1545-2107
    ISSN 0066-4286
    DOI 10.1146/annurev-phyto-080516-035326
    Database MEDical Literature Analysis and Retrieval System OnLINE

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