Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina
- Autores
- Paredes, Juan Andrés; Edwards Molina, Juan Pablo; Cazon, Luis Ignacio; Asinari, Florencia; Monguillot, Joaquín Humberto; Morichetti, Sergio A.; Rago, Alejandro Mario; Torres, Adriana M.
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Peanut smut, caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentinian peanut-growing regions. Smut-affected pod transform the kernel into a mass of teliospores, which survive in the soil for long time. This study is the first large-scale (regional) survey to determine the occurrence and distribution of peanut smut in the main peanut-growing area of Argentina. Surveys were conducted in Córdoba province, in randomly selected commercial peanut fields (n = 217) grown from 2015 to 2020. A five-score severity scale has been used to quantify the severity of smut on pods (0 = healthy kernels and 4 = totally smutted kernels), and a disease severity index (DSI) was calculated. Pods with severity scores of 3 and 4 are rejected by the industry and produce a high volume of spores that spread among fields increasing the inoculum in the soil. Those pods were classified as severely damaged pods (SDP). The relative frequency of smut classes during the years was evaluated and the relationships between the yearly incidence and DSI were determined. The mean of the incidence was variable (never zero) across the years and increased from 1.66% in 2015 to 11.47% in 2020. More than 80% of the affected pods belonged to SDP category. The variable SDP, a more time and cost-effective method for quantifying peanut smut, best explained the variation in DSI values. Our results suggest that that visual estimates of incidence and SDP should be useful for disease monitoring, screening genotypes, or treatment comparisons in smut management experiments. Our survey data provided an update in the knowledge of T. frezii distribution over the peanut-growing area of Argentina.
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: Edwards Molina, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; 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: 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: 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: Morichetti, Sergio A. Aceitera General Deheza; Argentina
Fil: Rago, Alejandro Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; Argentina
Fil: Rago, Alejandro Mario. Universidad Nacional de Rio Cuarto. Facultad de Agronomía y Veterinaria; Argentina
Fil: Torres, Adriana M. Universidad Nacional de Rio Cuarto. Facultad de Facultad de Ciencias Exactas, Físico - Químicas y Naturales. Instituto de Investigación en Micología y Micotoxicología (IMICO); Argentina - Fuente
- Tropical Plant Pathology (Published: 20 October 2021)
- Materia
-
Argentina
Arachis hypogaea
Enfermedades de las Plantas
Plant Diseases
Thecaphora Frezii
Maní
Carbón del Mani
Aggressiveness
Linear Regression - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/10782
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Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of ArgentinaParedes, Juan AndrésEdwards Molina, Juan PabloCazon, Luis IgnacioAsinari, FlorenciaMonguillot, Joaquín HumbertoMorichetti, Sergio A.Rago, Alejandro MarioTorres, Adriana M.ArgentinaArachis hypogaeaEnfermedades de las PlantasPlant DiseasesThecaphora FreziiManíCarbón del ManiAggressivenessLinear RegressionPeanut smut, caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentinian peanut-growing regions. Smut-affected pod transform the kernel into a mass of teliospores, which survive in the soil for long time. This study is the first large-scale (regional) survey to determine the occurrence and distribution of peanut smut in the main peanut-growing area of Argentina. Surveys were conducted in Córdoba province, in randomly selected commercial peanut fields (n = 217) grown from 2015 to 2020. A five-score severity scale has been used to quantify the severity of smut on pods (0 = healthy kernels and 4 = totally smutted kernels), and a disease severity index (DSI) was calculated. Pods with severity scores of 3 and 4 are rejected by the industry and produce a high volume of spores that spread among fields increasing the inoculum in the soil. Those pods were classified as severely damaged pods (SDP). The relative frequency of smut classes during the years was evaluated and the relationships between the yearly incidence and DSI were determined. The mean of the incidence was variable (never zero) across the years and increased from 1.66% in 2015 to 11.47% in 2020. More than 80% of the affected pods belonged to SDP category. The variable SDP, a more time and cost-effective method for quantifying peanut smut, best explained the variation in DSI values. Our results suggest that that visual estimates of incidence and SDP should be useful for disease monitoring, screening genotypes, or treatment comparisons in smut management experiments. Our survey data provided an update in the knowledge of T. frezii distribution over the peanut-growing area of Argentina.Instituto de Patología VegetalFil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Edwards Molina, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Cazon, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Cazon, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Asinari, Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Asinari, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Morichetti, Sergio A. Aceitera General Deheza; ArgentinaFil: Rago, Alejandro Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; ArgentinaFil: Rago, Alejandro Mario. Universidad Nacional de Rio Cuarto. Facultad de Agronomía y Veterinaria; ArgentinaFil: Torres, Adriana M. Universidad Nacional de Rio Cuarto. Facultad de Facultad de Ciencias Exactas, Físico - Químicas y Naturales. Instituto de Investigación en Micología y Micotoxicología (IMICO); ArgentinaSpringer2021-11-15T18:26:52Z2021-11-15T18:26:52Z2021-10-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/10782https://link.springer.com/article/10.1007/s40858-021-00473-x1983-2052https://doi.org/10.1007/s40858-021-00473-xTropical Plant Pathology (Published: 20 October 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:49:11Zoai:localhost:20.500.12123/10782instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:49:11.776INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
title |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
spellingShingle |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina Paredes, Juan Andrés Argentina Arachis hypogaea Enfermedades de las Plantas Plant Diseases Thecaphora Frezii Maní Carbón del Mani Aggressiveness Linear Regression |
title_short |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
title_full |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
title_fullStr |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
title_full_unstemmed |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
title_sort |
Relationship between incidence and severity of peanut smut and its regional distribution in the main growing region of Argentina |
dc.creator.none.fl_str_mv |
Paredes, Juan Andrés Edwards Molina, Juan Pablo Cazon, Luis Ignacio Asinari, Florencia Monguillot, Joaquín Humberto Morichetti, Sergio A. Rago, Alejandro Mario Torres, Adriana M. |
author |
Paredes, Juan Andrés |
author_facet |
Paredes, Juan Andrés Edwards Molina, Juan Pablo Cazon, Luis Ignacio Asinari, Florencia Monguillot, Joaquín Humberto Morichetti, Sergio A. Rago, Alejandro Mario Torres, Adriana M. |
author_role |
author |
author2 |
Edwards Molina, Juan Pablo Cazon, Luis Ignacio Asinari, Florencia Monguillot, Joaquín Humberto Morichetti, Sergio A. Rago, Alejandro Mario Torres, Adriana M. |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
Argentina Arachis hypogaea Enfermedades de las Plantas Plant Diseases Thecaphora Frezii Maní Carbón del Mani Aggressiveness Linear Regression |
topic |
Argentina Arachis hypogaea Enfermedades de las Plantas Plant Diseases Thecaphora Frezii Maní Carbón del Mani Aggressiveness Linear Regression |
dc.description.none.fl_txt_mv |
Peanut smut, caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentinian peanut-growing regions. Smut-affected pod transform the kernel into a mass of teliospores, which survive in the soil for long time. This study is the first large-scale (regional) survey to determine the occurrence and distribution of peanut smut in the main peanut-growing area of Argentina. Surveys were conducted in Córdoba province, in randomly selected commercial peanut fields (n = 217) grown from 2015 to 2020. A five-score severity scale has been used to quantify the severity of smut on pods (0 = healthy kernels and 4 = totally smutted kernels), and a disease severity index (DSI) was calculated. Pods with severity scores of 3 and 4 are rejected by the industry and produce a high volume of spores that spread among fields increasing the inoculum in the soil. Those pods were classified as severely damaged pods (SDP). The relative frequency of smut classes during the years was evaluated and the relationships between the yearly incidence and DSI were determined. The mean of the incidence was variable (never zero) across the years and increased from 1.66% in 2015 to 11.47% in 2020. More than 80% of the affected pods belonged to SDP category. The variable SDP, a more time and cost-effective method for quantifying peanut smut, best explained the variation in DSI values. Our results suggest that that visual estimates of incidence and SDP should be useful for disease monitoring, screening genotypes, or treatment comparisons in smut management experiments. Our survey data provided an update in the knowledge of T. frezii distribution over the peanut-growing area of Argentina. 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: Edwards Molina, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; 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: 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: 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: Morichetti, Sergio A. Aceitera General Deheza; Argentina Fil: Rago, Alejandro Mario. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; Argentina Fil: Rago, Alejandro Mario. Universidad Nacional de Rio Cuarto. Facultad de Agronomía y Veterinaria; Argentina Fil: Torres, Adriana M. Universidad Nacional de Rio Cuarto. Facultad de Facultad de Ciencias Exactas, Físico - Químicas y Naturales. Instituto de Investigación en Micología y Micotoxicología (IMICO); Argentina |
description |
Peanut smut, caused by the soil-borne pathogen Thecaphora frezii, has increased in incidence in the main Argentinian peanut-growing regions. Smut-affected pod transform the kernel into a mass of teliospores, which survive in the soil for long time. This study is the first large-scale (regional) survey to determine the occurrence and distribution of peanut smut in the main peanut-growing area of Argentina. Surveys were conducted in Córdoba province, in randomly selected commercial peanut fields (n = 217) grown from 2015 to 2020. A five-score severity scale has been used to quantify the severity of smut on pods (0 = healthy kernels and 4 = totally smutted kernels), and a disease severity index (DSI) was calculated. Pods with severity scores of 3 and 4 are rejected by the industry and produce a high volume of spores that spread among fields increasing the inoculum in the soil. Those pods were classified as severely damaged pods (SDP). The relative frequency of smut classes during the years was evaluated and the relationships between the yearly incidence and DSI were determined. The mean of the incidence was variable (never zero) across the years and increased from 1.66% in 2015 to 11.47% in 2020. More than 80% of the affected pods belonged to SDP category. The variable SDP, a more time and cost-effective method for quantifying peanut smut, best explained the variation in DSI values. Our results suggest that that visual estimates of incidence and SDP should be useful for disease monitoring, screening genotypes, or treatment comparisons in smut management experiments. Our survey data provided an update in the knowledge of T. frezii distribution over the peanut-growing area of Argentina. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-15T18:26:52Z 2021-11-15T18:26:52Z 2021-10-20 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/10782 https://link.springer.com/article/10.1007/s40858-021-00473-x 1983-2052 https://doi.org/10.1007/s40858-021-00473-x |
url |
http://hdl.handle.net/20.500.12123/10782 https://link.springer.com/article/10.1007/s40858-021-00473-x https://doi.org/10.1007/s40858-021-00473-x |
identifier_str_mv |
1983-2052 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/restrictedAccess |
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restrictedAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Tropical Plant Pathology (Published: 20 October 2021) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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