Your browser doesn't support javascript.
loading
Screening of Triploid Banana Population Under Natural and Controlled Black Sigatoka Disease for Genomic Selection.
Mbo Nkoulou, Luther Fort; Nkouandou, Yacouba Fifen; Ngalle, Hermine Bille; Cros, David; Martin, Guillaume; Molo, Thierry; Eya'a, Clement; Essome, Charles; Zandjanakou-Tachin, Martine; Degbey, Hervé; Bell, Joseph; Achigan-Dako, Enoch G.
Afiliación
  • Mbo Nkoulou LF; Genetics, Biotechnology, and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin.
  • Nkouandou YF; Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon.
  • Ngalle HB; Institute of Agricultural Research for Development, Mbalmayo Agricultural Research Centre (CRA-MB) Mbalmayo, Mbalmayo, Cameroon.
  • Cros D; Centre de Recherche et d'Accompagnement des Producteurs Agro-pastoraux du Cameroun, Boumyebel, Cameroun.
  • Martin G; Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon.
  • Molo T; Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon.
  • Eya'a C; Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environ
  • Essome C; Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France.
  • Zandjanakou-Tachin M; Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environ
  • Degbey H; Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France.
  • Bell J; Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon.
  • Achigan-Dako EG; Centre de Recherche et d'Accompagnement des Producteurs Agro-pastoraux du Cameroun, Boumyebel, Cameroun.
Plant Dis ; 108(7): 2006-2016, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38243182
ABSTRACT
Black sigatoka disease (BSD) is the most important foliar threat in banana production, and breeding efforts against it should take advantage of genomic selection (GS), which has become one of the most explored tools to increase genetic gain, save time, and reduce selection costs. To evaluate the potential of GS in banana for BSD, 210 triploid accessions were obtained from the African Banana and Plantain Research Center to constitute a training population. The variability in the population was assessed at the phenotypic level using BSD- and agronomic-related traits and at the molecular level using single-nucleotide polymorphisms (SNPs). The analysis of variance showed a significant difference between accessions for almost all traits measured, although at the genomic group level, there was no significant difference for BSD-related traits. The index of non-spotted leaves among accessions ranged from 0.11 to 0.8. The accessions screening in controlled conditions confirmed the susceptibility of all genomic groups to BSD. The principal components analysis with phenotypic data revealed no clear diversity partition of the population. However, the structure analysis and the hierarchical clustering analysis with SNPs grouped the population into four clusters and two subpopulations, respectively. The field and laboratory screening of the banana GS training population confirmed that all genomic groups are susceptible to BSD but did not reveal any genetic structure, whereas SNP markers exhibited clear genetic structure and provided useful information in the perspective of applying GS.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Selección Genética / Polimorfismo de Nucleótido Simple / Musa / Triploidía Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Plant Dis Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Selección Genética / Polimorfismo de Nucleótido Simple / Musa / Triploidía Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Plant Dis Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos