RELIABILITY OF SUGARCANE RESISTANCE TESTS (SACCHARUM SPP. HYBRID): TESTS AGAINST BROWN RUST
Main Article Content
Abstract
Puccinia melanocephala, the cause of brown rust, is a damaging pathogen of sugarcane in most parts of the world where it is grown. One of the most effective strategies for its control is the use of resistant varieties. For this purpose, control cultivars are used in disease resistance tests, which allow the following categories to be distinguished: highly resistant, resistant, moderately resistant, moderately susceptible, susceptible, highly susceptible and very highly susceptible. The aim of this work was to investigate the effectiveness of sugarcane rust resistance trials conducted between 2020 and 2023 in classifying the resistance of new cultivars. Data from four locations and trials evaluating 16 commercial varieties were analyzed. The results showed that brown rust control remained stable throughout the study period and that five resistance categories were distinguished. Of the commercial cultivars studied, three are considered susceptible. The need for systematic monitoring of sugarcane plantations and training of phytosanitary staff, as well as systematic analysis of disease resistance tests, is demonstrated in order to provide timely recommendations and ensure the economic and sustainability of the crop.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Bhuiyan, S. A., Deomano, E., Stringer, J., Magarey, R., Eglinton, J., Wei, X., Piperidis, G. (2020). Development of a new variety-rating system for sugarcane smut using improved statistical methods. Proceedings of the Australian Society of Sugar Cane Technologists, 42, 223–228.
Chiang, K. S. y Bock, C. H. (2021). Understanding the ramifications of quantitative ordinal scales on accuracy of estimates of disease severity and data analysis in plant pathology. Tropical Plant Pathology. https://doi.org/10.1007/s40858-021-00446-0
Figueiredo, E. B., de Oliveira, B. G. y La Scala, N. (2018). Sustainability of sugarcane production in Brazil: A review. Agronomy for Sustainable Development, 38,1, 1–23. https://doi.org/10.1007/s13593-018-0490-x
La O, M., Perera, M. F., Bertani, R. P., Acevedo, R., Arias, M. E., Casas, M. A., Pérez, J., Puchades, Y., Rodríguez, E., Alfonso, I., Catganaro, A. P. (2018). An overview of sugarcane brown rust in Cuba. Scientia Agricola, 75,3, 233–238. https://doi.org/10.1590/1678-992X-2016-0381
Maheshwari, G. y Mathur, S., Gauba, P. (2020). Disease resistant plants: A review. OmniScience: A Multi-disciplinary Journal, 10,3, 1–6.
Montalván, J., Alfonso, I., Rodríguez, E., Puchades, Y., Rodríguez, J., Aday, O., Carvajal, O., Delgado, J. (2018). Evaluación de la resistencia a roya parda de la caña de azúcar en Cuba. Centro Agrícola, 45,2, 47–54.
Oliveira, G. K., Barreto, F. Z., Balsalobre, T. W. A., Chapola, R. G., Hoffmann, H. P., Carneiro, M. S. (2024). Molecular evaluation and phenotypic screening of brown and orange rust in Saccharum germplasm. PLoS ONE, 19(7), e0307935. https://doi.org/10.1371/journal.pone.0307935
Pataky, J. K., Williams, M. M., Headrick, J. M., Nankam, C., du Toit, L. J., Michener, P. M. (2011). Observations from a quarter century of evaluating reactions of sweet corn hybrids in disease nurseries. Plant Disease, 95, 1492–1506.
Pires da Silva, I. O., de Freitas, R. G., Cursi, D. E., Chapola, R. G., Rios do Amaral, L. (2023). Recognition of sugarcane orange and brown rust through leaf image processing. Smart Agricultural Technology, 4, 100185. https://doi.org/10.1016/j.atech.2023.100185
Sorvali, J., Kaseva, J. y Peltonen-Sainio, P. (2021). Farmer views on climate change – a longitudinal study of threats, opportunities and action. Climatic Change, 164, 1–19. https://doi.org/10.1007/s10584-021-03020-4
Stringer, J., Croft, B., Bhuiyan, S., Deomano, E., Magarey, R., Cox, M., Xu, X. (2012). A new method of statistical analysis for sugarcane disease screening trials. Proceedings of the Australian Society of Sugar Cane Technologists, 34, 1–10.