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Advances in Crop Genetic Improvement to Overcome Drought Stress: Bibliometric and Meta-Analysis

Author

Listed:
  • Patrícia Ferreira da Silva

    (Department of Agricultural Engineering, Institute of Agricultural and Technological Sciences—ICAT, Federal University of Rondonópolis, Av. dos Estudantes, 5055, Cidade Universitária, Bloco C, Rondonópolis 78736-900, MT, Brazil)

  • Natália Cassa

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

  • Alberto Soares de Melo

    (Coordenação do Programa de Pós-Graduação em Ciências Agrárias, Centro de Ciências Biológicas e da Saúde, Universidade Estadual da Paraíba, Rua Baraúnas, 351—Universitário, Campina Grande 58429-500, PB, Brazil)

  • José Dantas Neto

    (Unidade Acadêmica de Engenharia, Universidade Federal de Campina Grande, Rua Aprígio Veloso—Bodocongó, CM Block, Campina Grande 58109-970, PB, Brazil)

  • Luana Aparecida Menegaz Meneghetti

    (Postgraduate Program in Tropical Agriculture, Faculty of Agronomy and Animal Science—FAAZ, Federal University of Mato Grosso, Av. Fernando Corrêa da Costa, 2367, Boa Esperança, Cuiabá 78060-900, MT, Brazil)

  • Alisson Silva Costa Custódio

    (Postgraduate Program in Tropical Agriculture, Faculty of Agronomy and Animal Science—FAAZ, Federal University of Mato Grosso, Av. Fernando Corrêa da Costa, 2367, Boa Esperança, Cuiabá 78060-900, MT, Brazil)

  • Niclene Ponce Rodrigues de Oliveira

    (Postgraduate Program in Tropical Agriculture, Faculty of Agronomy and Animal Science—FAAZ, Federal University of Mato Grosso, Av. Fernando Corrêa da Costa, 2367, Boa Esperança, Cuiabá 78060-900, MT, Brazil)

  • Tonny José Araújo da Silva

    (Department of Agricultural Engineering, Institute of Agricultural and Technological Sciences—ICAT, Federal University of Rondonópolis, Av. dos Estudantes, 5055, Cidade Universitária, Bloco C, Rondonópolis 78736-900, MT, Brazil)

  • Edna Maria Bonfim-Silva

    (Department of Agricultural Engineering, Institute of Agricultural and Technological Sciences—ICAT, Federal University of Rondonópolis, Av. dos Estudantes, 5055, Cidade Universitária, Bloco C, Rondonópolis 78736-900, MT, Brazil)

  • Sérgio Plens Andrade

    (Department of Agricultural Engineering, Institute of Agricultural and Technological Sciences—ICAT, Federal University of Rondonópolis, Av. dos Estudantes, 5055, Cidade Universitária, Bloco C, Rondonópolis 78736-900, MT, Brazil)

  • Thiago Franco Duarte

    (Department of Agricultural Engineering, Institute of Agricultural and Technological Sciences—ICAT, Federal University of Rondonópolis, Av. dos Estudantes, 5055, Cidade Universitária, Bloco C, Rondonópolis 78736-900, MT, Brazil)

  • Sávio da Silva Berilli

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

  • Maurício Novaes Souza

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

  • Aparecida de Fátima Madella de Oliveira

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

  • Monique Moreira Moulin

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

  • Ana Paula Candido Gabriel Berilli

    (Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo, Instituto Federal do Espírito Santo—Campus de Alegre Zona Rural, Alegre 29520-000, ES, Brazil)

Abstract

Plant resistance to drought stress is a parameter that should be studied with more emphasis in the search for higher agricultural yields. In this scenario, research within breeding programs should be directed toward specific mechanisms of action and important agricultural crops in worldwide agribusiness. From this perspective, this study carried out a bibliographic investigation regarding the advances in genetic improvement aimed at drought stress in crops using a hybrid model of analysis of scientific articles. The analysis employed bibliometric parameters for qualitative and quantitative discussion of scientific production and the methodological process of systematic review for the synthesis of the results obtained. The work was divided into four stages: the search for articles in databases, meta-analysis, bibliometric analysis, and systematic analysis. Scientific articles were searched for on the Scopus, Scielo, and Web of Science databases within a 20-year timeframe. Most authors and institutions were from Asian countries, demonstrating the need for global expansion of research on the subject. With regard to the co-occurrence networks between the keywords used in the search, a focus was observed on the following terms: drought resistance, drought stress; drought, and drought tolerance. Evidently, the primary mechanism of tolerance or even resistance studied in breeding programs is associated with the expression of genes and genetically modified organisms that confer resistance to plants. Also, the crops addressed in the research retrieved are highly diverse.

Suggested Citation

  • Patrícia Ferreira da Silva & Natália Cassa & Alberto Soares de Melo & José Dantas Neto & Luana Aparecida Menegaz Meneghetti & Alisson Silva Costa Custódio & Niclene Ponce Rodrigues de Oliveira & Tonny, 2023. "Advances in Crop Genetic Improvement to Overcome Drought Stress: Bibliometric and Meta-Analysis," Agriculture, MDPI, vol. 13(10), pages 1-20, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1860-:d:1245895
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    References listed on IDEAS

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    1. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
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