Autoria: RODRIGUES, R. de A.; JULIATTI, F. C.; PEDRINI, J. E.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; FRAISSE, C. W.; FARIAS, J. R. B.; PAVAN, W.; COSTA, L. C.; VALE, F. X. R. do; REZENDE, A. A.

Resumo: Understanding the impact of Asian soybean rust on soybean yield is of great importance in the crop simulation model for this crop become it is possible to predict yield using different sowing dates and growth conditions. The goal of this study were to evaluate the performance of two soybean cultivars in Triângulo Mineiro/Alto Paranaíba, MG, Brazil and the effects of soybean rust on the yield of these cultivars using the CSM-CROPGRO Soybean model. Two soybean cultivars NK 7074 (early) and UFUS-Impacta (medium late), which differ in their development cycles, were growing in Uberaba city during the 2009/2010 growing season. The validation for cultivar UFUS-Impacta was conducted comparing the measured and simulated yield data considering three different sowing dates in the Uberlândia city during the 2002/2003 growing season. Daily meteorological data obtained from six meteorological stations of the National Institute of Meteorology (INMET ). To determine the performance of the soybean cultivars and the effect of soybean rust on yield, three different scenarios were used: no occurrence of rust (NOR) and occurrence of rust with inoculum concentrations of U5.000 and U10.000 urediniospores/mL. For all environments studied, the early cultivar had the best performance than the medium late cultivar. Soybean rust had the most effect on yield for the U10.000 scenario than for the U5.000 scenario. The best soybean performance occurred for Araxá and Uberaba cities. The South-Southeast area of the Triângulo Mineiro/Alto Paranaíba region was the most sensitive to the effect of rust on yield compared to the North region.

Ano de publicação: 2013

Tipo de publicação: Artigo de periódico

Unidade: Embrapa Trigo

Palavras-chave: Doença de planta, Doença fungica, Ferrugem, Ferrugem asiática da soja, Glycine max, Minas Gerais, Modelagem, Modeling, Models, Phakopsora Pachyrhizi, Plant diseases and disorders, Rust diseases, Soja, Soybeans