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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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oai_identifier_str oai:localhost:20.500.12123/10782
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spelling 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/restrictedAccess2025-09-29T13:45:24Zoai: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:l2025-09-29 13:45:25.022INTA 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
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv 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
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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