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. 2021 Sep;70(7):1651-1664.
doi: 10.1111/ppa.13408. Epub 2021 Jun 12.

Sources of resistance to Pseudocercospora fijiensis, the cause of black Sigatoka in banana

Affiliations

Sources of resistance to Pseudocercospora fijiensis, the cause of black Sigatoka in banana

Janet Kimunye et al. Plant Pathol. 2021 Sep.

Abstract

Black Sigatoka, caused by Pseudocercospora fijiensis, is one of the most devastating diseases of banana. In commercial banana-growing systems, black Sigatoka is primarily managed by fungicides. This mode of disease management is not feasible for resource-limited smallholder farmers. Therefore, bananas resistant to P. fijiensis provide a practical solution for managing the disease, especially under smallholder farming systems. Most banana and plantain hybrids with resistance to P. fijiensis were developed using few sources of resistance, which include Calcutta 4 and Pisang Lilin. To broaden the pool of resistance sources to P. fijiensis, 95 banana accessions were evaluated under field conditions in Sendusu, Uganda. Eleven accessions were resistant to P. fijiensis. Black Sigatoka symptoms did not progress past Stage 2 (narrow brown streaks) in the diploid accessions Pahang (AA), Pisang KRA (AA), Malaccensis 0074 (AA), Long Tavoy (AA), M.A. Truncata (AA), Tani (BB), and Balbisiana (BB), a response similar to the resistant control Calcutta 4. These accessions are potential sources of P. fijiensis resistance and banana breeding programmes can use them to broaden the genetic base for resistance to P. fijiensis.

Keywords: black Sigatoka; disease evaluation; resistance.

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Conflict of interest statement

The authors declare that there are no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Pictorial representation of black Sigatoka symptoms [Colour figure can be viewed at wileyonlinelibrary.com]
FIGURE 2
FIGURE 2
Dendrogram of a hierarchical cluster analysis for the response of banana accessions in the IITA germplasm collection (Trial 1) at Sendusu, Uganda, when evaluated for resistance against Pseudocercospora fijiensis under field conditions. Clustering is based on the Euclidean distances for area under disease progress curve, index of nonspotted leaves, youngest leaf spotted, the youngest leaf with streak symptoms, and the stage of most advanced symptoms [Colour figure can be viewed at wileyonlinelibrary.com]
FIGURE 3
FIGURE 3
Dendogram of hierarchical cluster analysis for the response of selected banana accessions and breeding materials (Trial 2) evaluated against Pseudocercospora fijiensis under field conditions at Sendusu, Uganda. Clustering is based on Euclidean distances for area under disease progress curve, index of nonspotted leaves, youngest leaf spotted, the youngest leaf with streak symptoms, and the stage of most advanced symptoms [Colour figure can be viewed at wileyonlinelibrary.com]
FIGURE 4
FIGURE 4
Simple‐sequence repeat (SSR)‐based genetic clusters (with a bold rectangle around them), into which the accessions assessed for response to infection with Pseudocercospora fijiensis were categorized. The 95 accessions grouped into Clusters I, III, VII, VIII, IX, X, XI, and XII as indicated by Christelová et al. (2017). The individual sets of the clustered accessions are indicated in Tables 1 and 2. The diagram was adopted and modified from Christelová et al. (2017) [Colour figure can be viewed at wileyonlinelibrary.com]

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