Screening of Rice Accessions Resistant to Blast in Benin

Akankè Iliyath Bello; Abalo Itolou Kassankogno; Hafiz Adéwalé Salami; Habib Ramanou; Moussa Sié; Adolphe Adjanohoun; Clément Agbangla

doi:doi:10.11648/j.jdmp.20180403.12

Screening of Rice Accessions Resistant to Blast in Benin

Akankè Iliyath Bello, Abalo Itolou Kassankogno, Hafiz Adéwalé Salami, Habib Ramanou, Moussa Sié, Adolphe Adjanohoun, Clément Agbangla

Published in Journal of Diseases and Medicinal Plants (Volume 4, Issue 3)

Received: 12 May 2018 Accepted: 30 May 2018 Published: 9 July 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.

Published in	Journal of Diseases and Medicinal Plants (Volume 4, Issue 3)
DOI	10.11648/j.jdmp.20180403.12
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), 2018. Published by Science Publishing Group

Keywords

Oryza Spp, Rice Blast, Genetic Control, Magnaporthe Oryzae

References

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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://article.sciencepublishinggroup.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
AU  - Habib Ramanou
AU  - Moussa Sié
AU  - Adolphe Adjanohoun
AU  - Clément Agbangla
Y1  - 2018/07/09
PY  - 2018
N1  - https://doi.org/10.11648/j.jdmp.20180403.12
DO  - 10.11648/j.jdmp.20180403.12
T2  - Journal of Diseases and Medicinal Plants
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

Akankè Iliyath Bello

South Agricultural Research Center, National Institute of Agricultural Research of Benin (INRAB), Attogon, Benin
Abalo Itolou Kassankogno

Laboratory of Biosciences, University of Ouaga I Pr Joseph KI-ZERBO, Ouagadougou, Burkina Faso
Hafiz Adéwalé Salami

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

Africa Rice Center (AfricaRice), Cotonou, Benin
Moussa Sié

Africa Rice Center (AfricaRice), Cotonou, Benin
Adolphe Adjanohoun

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

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

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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

Copy | Download

@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://article.sciencepublishinggroup.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
AU  - Habib Ramanou
AU  - Moussa Sié
AU  - Adolphe Adjanohoun
AU  - Clément Agbangla
Y1  - 2018/07/09
PY  - 2018
N1  - https://doi.org/10.11648/j.jdmp.20180403.12
DO  - 10.11648/j.jdmp.20180403.12
T2  - Journal of Diseases and Medicinal Plants
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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