Screening of Triploid Banana Population Under Natural and Controlled Black Sigatoka Disease for Genomic Selection

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 pot...

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Veröffentlicht in:Plant disease. - 1997. - 108(2024), 7 vom: 28. Juli, Seite 2006-2016
1. Verfasser: Mbo Nkoulou, Luther Fort (VerfasserIn)
Weitere Verfasser: 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
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Plant disease
Schlagworte:Journal Article banana accessions black sigatoka disease genetic diversity genomic selection trait variation
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520 |a 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 
650 4 |a Journal Article 
650 4 |a banana accessions 
650 4 |a black sigatoka disease 
650 4 |a genetic diversity 
650 4 |a genomic selection 
650 4 |a trait variation 
700 1 |a Nkouandou, Yacouba Fifen  |e verfasserin  |4 aut 
700 1 |a Ngalle, Hermine Bille  |e verfasserin  |4 aut 
700 1 |a Cros, David  |e verfasserin  |4 aut 
700 1 |a Martin, Guillaume  |e verfasserin  |4 aut 
700 1 |a Molo, Thierry  |e verfasserin  |4 aut 
700 1 |a Eya'a, Clement  |e verfasserin  |4 aut 
700 1 |a Essome, Charles  |e verfasserin  |4 aut 
700 1 |a Zandjanakou-Tachin, Martine  |e verfasserin  |4 aut 
700 1 |a Degbey, Hervé  |e verfasserin  |4 aut 
700 1 |a Bell, Joseph  |e verfasserin  |4 aut 
700 1 |a Achigan-Dako, Enoch G  |e verfasserin  |4 aut 
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