Quantifying <scp>ENSO</scp> ‐Mediated Shifts in Soybean Rust Impact: Yield Loss Dynamics and Management Implications in Brazil

ABSTRACT Soybean rust (SBR), caused by the fungal pathogen Phakopsora pachyrhizi , severely threatens soybean production in Brazil, with outbreak dynamics tightly linked to climatic variability. This study evaluates how El Niño Southern Oscillation (ENSO) phases modulate SBR severity and associated yield losses, employing a meta‐analysis of 417 field trials across 73 Brazilian locations from 2005 to 2020. We quantified disease damage coefficients (yield loss per percentage point of disease severity) and the efficacy of management practices in protecting yields during warm (El Niño), neutral and cold (La Niña) ENSO phases. Results revealed that damage coefficients were significantly higher during El Niño, causing disproportionately greater yield losses at equivalent disease severity levels compared to neutral and La Niña phases. Notably, disease control scenarios provided the highest yield protection during El Niño but were least effective during La Niña. These findings highlight the critical role of ENSO‐driven climatic variability in shaping SBR dynamics, influencing disease pressure and altering the effectiveness of management strategies. The study underscores the potential of integrating ENSO‐based forecasts into pre‐season disease outlooks to enhance resource allocation, optimise fungicide applications and improve profitability under varying climatic conditions.

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Publication Details

Journal
Plant Pathology
Published
2025-09-23
DOI
https://doi.org/10.1111/ppa.70069
Citations
1
Primary Topic
Yeasts and Rust Fungi Studies
Type
article
Field-Weighted Citation Impact
0.81

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article

Quantifying ENSO ‐Mediated Shifts in Soybean Rust Impact: Yield Loss Dynamics and Management Implications in Brazil

Jhonatan Paulo Barro, Kaique S. Alves, Emerson M. Del Ponte
1 citations
Plant Pathology
Yeasts and Rust Fungi Studies
0.81
article

Quantifying ENSO ‐Mediated Shifts in Soybean Rust Impact: Yield Loss Dynamics and Management Implications in Brazil

Jhonatan Paulo Barro, Kaique S. Alves, Emerson M. Del Ponte
article en
1 citations

Abstract

ABSTRACT Soybean rust (SBR), caused by the fungal pathogen Phakopsora pachyrhizi , severely threatens soybean production in Brazil, with outbreak dynamics tightly linked to climatic variability. This study evaluates how El Niño Southern Oscillation (ENSO) phases modulate SBR severity and associated yield losses, employing a meta‐analysis of 417 field trials across 73 Brazilian locations from 2005 to 2020. We quantified disease damage coefficients (yield loss per percentage point of disease severity) and the efficacy of management practices in protecting yields during warm (El Niño), neutral and cold (La Niña) ENSO phases. Results revealed that damage coefficients were significantly higher during El Niño, causing disproportionately greater yield losses at equivalent disease severity levels compared to neutral and La Niña phases. Notably, disease control scenarios provided the highest yield protection during El Niño but were least effective during La Niña. These findings highlight the critical role of ENSO‐driven climatic variability in shaping SBR dynamics, influencing disease pressure and altering the effectiveness of management strategies. The study underscores the potential of integrating ENSO‐based forecasts into pre‐season disease outlooks to enhance resource allocation, optimise fungicide applications and improve profitability under varying climatic conditions.

Plant PathologyVol. 74(9)
Universidade Federal de Viçosa (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 23%
Yeasts and Rust Fungi Studies
0.81
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