IDEAS home Printed from https://ideas.repec.org/a/caa/jnlpps/v58y2022i3id37-2020-pps.html
   My bibliography  Save this article

Role of nanoparticles in management of plant pathogens and scope in plant transgenics for imparting disease resistance

Author

Listed:
  • Aflaq Hamid

    (Department of Plant Pathology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, India)

  • Sahar Saleem

    (Division of Animal Biotechnology, FVSc & AH, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India)

Abstract

Current efforts are focused on the search for efficient methods of pathogen management that will not result in damage to the environment or cause an imbalance in the existing biota. One of the strategies for this is the use of nanoparticles in agriculture for disease management. This review presents a summative view on the various applications of nanoparticles in conferring disease resistance to crops and the possibility of using nanoparticles as carriers of genetic material for the generation of disease resistant crops. Nanoparticles are directly being used for the control of pathogens. Nanoparticles have been used as antiviral, antifungal and antibacterial agents. The nano-encapsulation of pesticides in controlled release matrices is one of the most promising research areas for the future. Nano-encapsulation has been shown to increase the efficiency of pesticides, reduce their volatilisation and decrease the toxicity and environmental contamination in crops. Nano-encapsulated agrochemicals or biomolecules can be engineered to be released in a controlled manner and in a target-specific location. Nanoparticles also have great scope in the field of transgenics vis-à-vis pathogen resistance. The field of agriculture can be revolutionised by the use of nanoparticles for imparting disease resistance in crops. The field is so versatile that the possibilities are endless.

Suggested Citation

  • Aflaq Hamid & Sahar Saleem, 2022. "Role of nanoparticles in management of plant pathogens and scope in plant transgenics for imparting disease resistance," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 58(3), pages 173-184.
    • Handle: RePEc:caa:jnlpps:v:58:y:2022:i:3:id:37-2020-pps
    DOI: 10.17221/37/2020-PPS
    as

    Download full text from publisher

    File URL: http://pps.agriculturejournals.cz/doi/10.17221/37/2020-PPS.html
    Download Restriction: free of charge
    File URL: http://pps.agriculturejournals.cz/doi/10.17221/37/2020-PPS.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/37/2020-PPS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andrew Fire & SiQun Xu & Mary K. Montgomery & Steven A. Kostas & Samuel E. Driver & Craig C. Mello, 1998. "Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans," Nature, Nature, vol. 391(6669), pages 806-811, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    2. Mark G Sterken & L Basten Snoek & Kobus J Bosman & Jikke Daamen & Joost A G Riksen & Jaap Bakker & Gorben P Pijlman & Jan E Kammenga, 2014. "A Heritable Antiviral RNAi Response Limits Orsay Virus Infection in Caenorhabditis elegans N2," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-8, February.
    3. Gersbach, Hans & Sorger, Gerhard & Amon, Christian, 2018. "Hierarchical growth: Basic and applied research," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 434-459.
    4. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    5. Shew, Aaron M. & Danforth, Diana M. & Nalley, Lawton L. & Nayga, Rodolfo M. Jr. & Tsiboe, Francis & Dixon, Bruce L., 2016. "Consumers’ Willingness-To-Pay for RNAi versus Bt Rice: Are all biotechnologies the same?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235110, Agricultural and Applied Economics Association.
    6. Ian F. Price & Jillian A. Wagner & Benjamin Pastore & Hannah L. Hertz & Wen Tang, 2023. "C. elegans germ granules sculpt both germline and somatic RNAome," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    7. Joseph Nsengimana & Lander Bauters & Annelies Haegeman & Godelieve Gheysen, 2013. "Silencing of Mg - pat-10 and Mg - unc-87 in the Plant Parasitic Nematode Meloidogyne graminicola Using siRNAs," Agriculture, MDPI, vol. 3(3), pages 1-12, September.
    8. Kyle A McQuisten & Andrew S Peek, 2009. "Comparing Artificial Neural Networks, General Linear Models and Support Vector Machines in Building Predictive Models for Small Interfering RNAs," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-14, October.
    9. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    10. Arnaud Segers & Joachim Carpentier & Frédéric Francis & Rudy Caparros Megido, 2023. "Gene Silencing of laccase 1 Induced by Double-Stranded RNA in Callosobruchus maculatus (Fabricius 1775) (Coleoptera: Chrysomelidae) Suggests RNAi as a Potential New Biotechnological Tool for Bruchid’s," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    11. Wei-Jie Pan & Chi-Wei Chen & Yen-Wei Chu, 2011. "siPRED: Predicting siRNA Efficacy Using Various Characteristic Methods," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    12. Zahra Narimani & Hamid Beigy & Ashar Ahmad & Ali Masoudi-Nejad & Holger Fröhlich, 2017. "Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    13. Daniele Rotolo & Ismael Rafols & Michael Hopkins & Loet Leydesdorff, 2014. "Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies," SPRU Working Paper Series 2014-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    14. Brian Hauge & Christopher Oggero & Nicole Nguyen & Changlin Fu & Fenggao Dong, 2009. "Single Tube, High Throughput Cloning of Inverted Repeat Constructs for Double-Stranded RNA Expression," PLOS ONE, Public Library of Science, vol. 4(9), pages 1-7, September.
    15. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
    16. Ke, Qing, 2020. "The citation disadvantage of clinical research," Journal of Informetrics, Elsevier, vol. 14(1).
    17. Miaowei Mao & Yajie Qian & Wenyao Zhang & Siyu Zhou & Zefeng Wang & Xianjun Chen & Yi Yang, 2023. "Controlling protein stability with SULI, a highly sensitive tag for stabilization upon light induction," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Li-Xin Ma & Rong-Tao He & Shu-Yan Yan & Wen-Jia Yang, 2022. "RNAi Suppression of Hormone Receptor HR3 Blocks Larval Molting and Metamorphosis in the Cigarette Beetle, Lasioderma serricorne," Agriculture, MDPI, vol. 12(8), pages 1-10, August.
    19. Sen Chai, 2017. "Near Misses in the Breakthrough Discovery Process," Organization Science, INFORMS, vol. 28(3), pages 411-428, June.
    20. Takasaki, Shigeru & Kawamura, Yoshihoro, 2007. "Using radial basis function networks and significance testing to select effective siRNA sequences," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6476-6487, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlpps:v:58:y:2022:i:3:id:37-2020-pps. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.