Analysis of the field-scale spatial pattern of peanut smut in Argentina
Peanut smut, caused by the soilborne pathogen Thecaphora frezzii, poses a significant threat to Argentina’s peanut production. As a monocyclic disease, the infections are restricted to pegs and pods, with no direct plant-to-plant spread. Spore dissemination occurs exclusively during harvest when inf...
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2025
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/23802 https://link.springer.com/article/10.1007/s10658-025-03124-y https://doi.org/10.1007/s10658-025-03124-y |
| _version_ | 1855038822698450944 |
|---|---|
| author | Paredes, Juan Andrés Cazon, Luis Ignacio Conforto, Erica Cinthia Monguillot, Joaquín Humberto Asinari, Florencia González, Noelia R. Rago, Alejandro Mario Pérez, Agustín Camiletti, Boris Xavier |
| author_browse | Asinari, Florencia Camiletti, Boris Xavier Cazon, Luis Ignacio Conforto, Erica Cinthia González, Noelia R. Monguillot, Joaquín Humberto Paredes, Juan Andrés Pérez, Agustín Rago, Alejandro Mario |
| author_facet | Paredes, Juan Andrés Cazon, Luis Ignacio Conforto, Erica Cinthia Monguillot, Joaquín Humberto Asinari, Florencia González, Noelia R. Rago, Alejandro Mario Pérez, Agustín Camiletti, Boris Xavier |
| author_sort | Paredes, Juan Andrés |
| collection | INTA Digital |
| description | Peanut smut, caused by the soilborne pathogen Thecaphora frezzii, poses a significant threat to Argentina’s peanut production. As a monocyclic disease, the infections are restricted to pegs and pods, with no direct plant-to-plant spread. Spore dissemination occurs exclusively during harvest when infected pods release spores, which can persist in the soil for many years. The lack of detailed knowledge about the spatial pattern of peanut smut in commercial fields limits the design of efficient and cost-effective experiments, accurately monitoring disease progression, and evaluating the effectiveness of management strategies. This study integrates field-scale experiments with statistical tools to investigate the spatial patterns of peanut smut across different scales, and their association with crop practices and host–pathogen interactions. Peanut smut incidence (percentage of smutted pods in a sample) was assessed at both small and large scales. Binary power law (BPL) analysis was used to analyze data from the surveyed field samples. Spatial analysis using heterogeneity, dispersion, autocorrelation, and SADIE statistics revealed that peanut smut tends to exhibit a random spatial pattern at medium-to-high disease incidence levels (> 20%), whereas localized clustering patterns occur at lower incidences (< 6%), as confirmed by the BPL. Higher disease incidences were often recorded near field entrances, likely influenced by harvesting practices and activities that promote spore concentration in specific areas. These findings highlight the importance of avoiding field edges or entrances during sampling to ensure unbiased data collection for disease monitoring. Understanding the spatial dynamics of peanut smut enhances the ability to design accurate experiments, improve sampling methods and contributes to developing better disease management strategies. |
| format | info:ar-repo/semantics/artículo |
| id | INTA23802 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA238022025-09-15T10:19:33Z Analysis of the field-scale spatial pattern of peanut smut in Argentina Paredes, Juan Andrés Cazon, Luis Ignacio Conforto, Erica Cinthia Monguillot, Joaquín Humberto Asinari, Florencia González, Noelia R. Rago, Alejandro Mario Pérez, Agustín Camiletti, Boris Xavier Spatial Distribution Epidemiology Groundnuts Distribución Espacial Epidemiología Argentina Arachis hypogaea Cacahuete Soilborne Pathogen Peanut Diseases Peanuts Thecaphora frezzii Maní Peanut smut, caused by the soilborne pathogen Thecaphora frezzii, poses a significant threat to Argentina’s peanut production. As a monocyclic disease, the infections are restricted to pegs and pods, with no direct plant-to-plant spread. Spore dissemination occurs exclusively during harvest when infected pods release spores, which can persist in the soil for many years. The lack of detailed knowledge about the spatial pattern of peanut smut in commercial fields limits the design of efficient and cost-effective experiments, accurately monitoring disease progression, and evaluating the effectiveness of management strategies. This study integrates field-scale experiments with statistical tools to investigate the spatial patterns of peanut smut across different scales, and their association with crop practices and host–pathogen interactions. Peanut smut incidence (percentage of smutted pods in a sample) was assessed at both small and large scales. Binary power law (BPL) analysis was used to analyze data from the surveyed field samples. Spatial analysis using heterogeneity, dispersion, autocorrelation, and SADIE statistics revealed that peanut smut tends to exhibit a random spatial pattern at medium-to-high disease incidence levels (> 20%), whereas localized clustering patterns occur at lower incidences (< 6%), as confirmed by the BPL. Higher disease incidences were often recorded near field entrances, likely influenced by harvesting practices and activities that promote spore concentration in specific areas. These findings highlight the importance of avoiding field edges or entrances during sampling to ensure unbiased data collection for disease monitoring. Understanding the spatial dynamics of peanut smut enhances the ability to design accurate experiments, improve sampling methods and contributes to developing better disease management strategies. Instituto de Patología Vegetal Fil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Cazon, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Cazon, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Conforto, Erica Cinthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Conforto, Erica Cinthia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Asinari, Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Asinari, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: González, Noelia R. Fundación ArgenINTA. Delegación IFFIVE. Córdoba; Argentina Fil: Rago, Alejandro Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP); Argentina Fil: Rago, Alejandro Mario. Universidad Nacional de Rio Cuarto. Facultad de Agronomía y Veterinaria; Argentina Fil: Pérez, Agustín. University of Illinois Urbana-Champaign. Department of Crop Sciences; Estados Unidos Fil: Camiletti, Boris X. University of Illinois Urbana-Champaign. Department of Crop Sciences; Estados Unidos 2025-09-15T10:06:17Z 2025-09-15T10:06:17Z 2025-08-20 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/23802 https://link.springer.com/article/10.1007/s10658-025-03124-y 0929-1873 1573-8469 (online) https://doi.org/10.1007/s10658-025-03124-y eng info:eu-repograntAgreement/INTA/2019-PD-E4-I090-001, Análisis de patosistemas en cultivos agrícolas y especies forestales. Caracterización de sus componentes info:eu-repograntAgreement/INTA/2023-PD-L01-I074, Bases ecológicas y epidemiológicas para el diseño de estrategias de manejo de plagas agrícolas y forestales info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer European Journal of Plant Pathology : 1-19 (Published: 20 August 2025 ) |
| spellingShingle | Spatial Distribution Epidemiology Groundnuts Distribución Espacial Epidemiología Argentina Arachis hypogaea Cacahuete Soilborne Pathogen Peanut Diseases Peanuts Thecaphora frezzii Maní Paredes, Juan Andrés Cazon, Luis Ignacio Conforto, Erica Cinthia Monguillot, Joaquín Humberto Asinari, Florencia González, Noelia R. Rago, Alejandro Mario Pérez, Agustín Camiletti, Boris Xavier Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title | Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title_full | Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title_fullStr | Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title_full_unstemmed | Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title_short | Analysis of the field-scale spatial pattern of peanut smut in Argentina |
| title_sort | analysis of the field scale spatial pattern of peanut smut in argentina |
| topic | Spatial Distribution Epidemiology Groundnuts Distribución Espacial Epidemiología Argentina Arachis hypogaea Cacahuete Soilborne Pathogen Peanut Diseases Peanuts Thecaphora frezzii Maní |
| url | http://hdl.handle.net/20.500.12123/23802 https://link.springer.com/article/10.1007/s10658-025-03124-y https://doi.org/10.1007/s10658-025-03124-y |
| work_keys_str_mv | AT paredesjuanandres analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT cazonluisignacio analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT confortoericacinthia analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT monguillotjoaquinhumberto analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT asinariflorencia analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT gonzaleznoeliar analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT ragoalejandromario analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT perezagustin analysisofthefieldscalespatialpatternofpeanutsmutinargentina AT camilettiborisxavier analysisofthefieldscalespatialpatternofpeanutsmutinargentina |