Gilberto Cardoso dos Santos1, Victor Martins Maia1, Alcinei Mistico Azevedo2, Gabriela Cristina Alves Custódio1, Adelica Aparecida Xavier1 and Márcia Regina da Costa3
1 State University of Montes Claros, Department of Agricultural Sciences, Morada do Sol, Janaúba, Minas Gerais, Brazil
2 Federal University of Minas Gerais, Department of Agricultural Sciences, Montes Claros, Minas Gerais, Brazil
3 Federal University of the Jequitinhonha and Mucuri Valleys, Department of Agricultural Sciences, Alto da Jacuba, Diamantina, Minas Gerais, Brazil
Dos Santos, G. C., Maia, V. M., Azevedo, A. M., Alves Custódio, G. C, Xavier Aparecida, A. & da Costa, M. R. (2025). Similarity between banana genotypes of the prata subgroup tolerant to fusarium wilt. Bulg. J. Agric. Sci., 31(2), 341–348
As there is no effective chemical control for fusarium wilt, the use of resistant varieties becomes the main control tool for the disease. Lopes et al. (2014) carried out the selection of genotypes tolerant to fusarium wilt from plants collected in the irrigated perimeter of Jaíba, in the state of Minas Gerais. In this sense, the objective was to study the similarity of these silver banana genotypes tolerant to fusarium wilt with Prata-Anã and to define descriptors most associated with productivity through correlation analysis. Four banana genotypes classified as tolerant to fusarium wilt, selected by Lopes et al. (2014), and the cultivar Prata-Anã were evaluated based on ten quantitative descriptors, in four production cycles (mother, daughter, granddaughter, great-granddaughter). The data obtained were first analyzed by multivariate analysis of variance (p≤0.05). Subsequently, principal component analysis (PCA) was carried out, the dissimilarity matrix of treatments was determined using the Mahalanobis distance and a dendrogram was carried out using the UPGMA method. The characteristics that showed significant effects (p≤0.05) were analyzed using the Pearson correlation coefficient. The PCA and dendrogram results indicate three genotypes were similar to Prata-Anã, suggesting agronomic and commercial potential. The correlation analysis reports the productivity variable positively correlated with all the characteristics evaluated, with the most intense correlation established being with the weight of the stemless bunch. Knowledge of the magnitude of the association between agronomic traits allows us to know how the selection of one trait can cause changes in others.