Due to the importance of Brazil as one of the main world soybean producers and providers, studies to understand the yield reducing factors are of major. Asian soybean rust (ASR) is one of the main reducing factors affecting soybean production. Thus, this study simulated the ASR effects in 24 locations in three Brazilian producing mega-regions, considering different sowing dates, from 15 Sept to 25 Nov for the South and Central mega-regions, and from 05 Oct to 15 Dec for the North mega-region for a historical series of 31 years (1988–2018). Still, we also evaluated the effects of El Niño Southern Oscillation (ENSO) events on disease severity and hence on soybean yield. The approach used in the present study was based on the combination of two models: a disease development model (DDM) for estimating ASR severity, and the process-based crop simulation model (CSM) DSSAT-CROPGRO-Soybean for yield estimation. We compared the yields of affected soybean crops by ASR with disease-free crop yields (ΔYASR). On average, the ASR reduced soybean yield between 13 and 33%, with the Central mega-region being the most affected by ASR, followed by North and South mega-regions. ENOS events affected ASR severity, which in turn impacted soybean yields. In the South mega-region, El Niño showed higher impacts on disease than La Niña and Neutral events. In contrast, La Niña and Neutral events impacted more the soybean yield in the North, whereas in the Central mega-region there was no evidence of ENOS impacts on ASR severity and soybean yields.
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Fattori, I.M., Sentelhas, P.C. & Marin, F.R. Assessing the Impact of Climate Variability on Asian Rust Severity and Soybean Yields in Different Brazilian Mega-Regions. Int. J. Plant Prod. (2021). https://doi.org/10.1007/s42106-021-00169-x
- Phakopsora pachyrhizi
- Glycine max
- El Niño Southern Oscillation