Journal of Diseases and Medicinal Plants

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Screening of Rice Accessions Resistant to Blast in Benin

Received: May 12, 2018    Accepted: May 30, 2018    Published: Jul. 09, 2018
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Abstract

The objective of this screening is to identify genotypes with effective resistance genes against leaf blast. Two hundred rice accessions were collected in Benin's production areas and screened in upland ecology at Sowe (Glazoue, Benin). The experimental device used is an Alpha lattice 20 x 10 with 3 repetitions. The hierarchical ascending classification (HAC) allowed obtaining three large groups of accessions according to their behavior in relation to the populations of Magnaporthe oryzae present on the site: the C1 group composed of resistant genotypes (R), the group C2 composed of genotypes moderately sensitive (MS) and finally the group C3 that consists of sensitive genotypes (S). A highly significant difference was observed between genotypes based on recorded severity scores (five rating stages of disease and the AUDPC or Area Under the Disease Progress Curve). In general, the difference between the phenotypic variable (VP) and the genotypic variable (Vg) is relatively weak for all characters. All the traits studied had recorded high genotypic variation coefficients (GVC) and phenotypic variation coefficients (PVC) (> 20), with the exception of the first level of disease severity (Pyri1), thus justifying the high variability between genotypes with respect to resistance to disease. Heritability rate (H2%) coupled with high values of expected genetic gain compared to the mean (EGGM), indicated a low environmental influence in disease expression and a prevalence of the effect of additive genes in genetic determinism. The experiment has identified a pool of varieties with good behavior against blast disease that can be used as genetic control material in research and breeding programs in Benin.

DOI 10.11648/j.jdmp.20180403.12
Published in Journal of Diseases and Medicinal Plants ( Volume 4, Issue 3, June 2018 )
Page(s) 69-79
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Oryza Spp, Rice Blast, Genetic Control, Magnaporthe Oryzae

References
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Cite This Article
  • APA Style

    Akankè Iliyath Bello, Abalo Itolou Kassankogno, Hafiz Adéwalé Salami, Habib Ramanou, Moussa Sié, et al. (2018). Screening of Rice Accessions Resistant to Blast in Benin. Journal of Diseases and Medicinal Plants, 4(3), 69-79. https://doi.org/10.11648/j.jdmp.20180403.12

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    ACS Style

    Akankè Iliyath Bello; Abalo Itolou Kassankogno; Hafiz Adéwalé Salami; Habib Ramanou; Moussa Sié, et al. Screening of Rice Accessions Resistant to Blast in Benin. J. Dis. Med. Plants 2018, 4(3), 69-79. doi: 10.11648/j.jdmp.20180403.12

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    AMA Style

    Akankè Iliyath Bello, Abalo Itolou Kassankogno, Hafiz Adéwalé Salami, Habib Ramanou, Moussa Sié, et al. Screening of Rice Accessions Resistant to Blast in Benin. J Dis Med Plants. 2018;4(3):69-79. doi: 10.11648/j.jdmp.20180403.12

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  • @article{10.11648/j.jdmp.20180403.12,
      author = {Akankè Iliyath Bello and Abalo Itolou Kassankogno and Hafiz Adéwalé Salami and Habib Ramanou and Moussa Sié and Adolphe Adjanohoun and Clément Agbangla},
      title = {Screening of Rice Accessions Resistant to Blast in Benin},
      journal = {Journal of Diseases and Medicinal Plants},
      volume = {4},
      number = {3},
      pages = {69-79},
      doi = {10.11648/j.jdmp.20180403.12},
      url = {https://doi.org/10.11648/j.jdmp.20180403.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jdmp.20180403.12},
      abstract = {The objective of this screening is to identify genotypes with effective resistance genes against leaf blast. Two hundred rice accessions were collected in Benin's production areas and screened in upland ecology at Sowe (Glazoue, Benin). The experimental device used is an Alpha lattice 20 x 10 with 3 repetitions. The hierarchical ascending classification (HAC) allowed obtaining three large groups of accessions according to their behavior in relation to the populations of Magnaporthe oryzae present on the site: the C1 group composed of resistant genotypes (R), the group C2 composed of genotypes moderately sensitive (MS) and finally the group C3 that consists of sensitive genotypes (S). A highly significant difference was observed between genotypes based on recorded severity scores (five rating stages of disease and the AUDPC or Area Under the Disease Progress Curve). In general, the difference between the phenotypic variable (VP) and the genotypic variable (Vg) is relatively weak for all characters. All the traits studied had recorded high genotypic variation coefficients (GVC) and phenotypic variation coefficients (PVC) (> 20), with the exception of the first level of disease severity (Pyri1), thus justifying the high variability between genotypes with respect to resistance to disease. Heritability rate (H2%) coupled with high values of expected genetic gain compared to the mean (EGGM), indicated a low environmental influence in disease expression and a prevalence of the effect of additive genes in genetic determinism. The experiment has identified a pool of varieties with good behavior against blast disease that can be used as genetic control material in research and breeding programs in Benin.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Screening of Rice Accessions Resistant to Blast in Benin
    AU  - Akankè Iliyath Bello
    AU  - Abalo Itolou Kassankogno
    AU  - Hafiz Adéwalé Salami
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    AU  - Adolphe Adjanohoun
    AU  - Clément Agbangla
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    JF  - Journal of Diseases and Medicinal Plants
    JO  - Journal of Diseases and Medicinal Plants
    SP  - 69
    EP  - 79
    PB  - Science Publishing Group
    SN  - 2469-8210
    UR  - https://doi.org/10.11648/j.jdmp.20180403.12
    AB  - The objective of this screening is to identify genotypes with effective resistance genes against leaf blast. Two hundred rice accessions were collected in Benin's production areas and screened in upland ecology at Sowe (Glazoue, Benin). The experimental device used is an Alpha lattice 20 x 10 with 3 repetitions. The hierarchical ascending classification (HAC) allowed obtaining three large groups of accessions according to their behavior in relation to the populations of Magnaporthe oryzae present on the site: the C1 group composed of resistant genotypes (R), the group C2 composed of genotypes moderately sensitive (MS) and finally the group C3 that consists of sensitive genotypes (S). A highly significant difference was observed between genotypes based on recorded severity scores (five rating stages of disease and the AUDPC or Area Under the Disease Progress Curve). In general, the difference between the phenotypic variable (VP) and the genotypic variable (Vg) is relatively weak for all characters. All the traits studied had recorded high genotypic variation coefficients (GVC) and phenotypic variation coefficients (PVC) (> 20), with the exception of the first level of disease severity (Pyri1), thus justifying the high variability between genotypes with respect to resistance to disease. Heritability rate (H2%) coupled with high values of expected genetic gain compared to the mean (EGGM), indicated a low environmental influence in disease expression and a prevalence of the effect of additive genes in genetic determinism. The experiment has identified a pool of varieties with good behavior against blast disease that can be used as genetic control material in research and breeding programs in Benin.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • South Agricultural Research Center, National Institute of Agricultural Research of Benin (INRAB), Attogon, Benin

  • Laboratory of Biosciences, University of Ouaga I Pr Joseph KI-ZERBO, Ouagadougou, Burkina Faso

  • Department of Biochemistry and Cell Biology, University of Abomey-Calavi, Abomey-Calavi, Benin

  • Africa Rice Center (AfricaRice), Cotonou, Benin

  • Africa Rice Center (AfricaRice), Cotonou, Benin

  • South Agricultural Research Center, National Institute of Agricultural Research of Benin (INRAB), Attogon, Benin

  • Department of Genetics and Biotechnology, University of Abomey-Calavi, Abomey-Calavi, Benin

  • Section