Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds
This set of protocols was developed to detect Ascochyta rabiei, the fungus responsible for chickpea blight, in seeds. Given the significant impact of this disease and its potential to cause complete crop loss, even at low inoculum levels, optimizing detection protocols is crucial. This article propo...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Wiley
2025
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| Online Access: | http://hdl.handle.net/20.500.12123/24798 https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpz1.70244 https://doi.org/10.1002/cpz1.70244 |
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| author | Pastor, Silvina Estela Perez, Alejandro Valetti, Lucio Crociara, Clara Sonia Fernandez, Franco Daniel Pugliese, Bruno Daniel Rodriguez Pardina, Patricia Rolhaiser, Ignacio Nahuel Pinotti, Carlos Daniel |
| author_browse | Crociara, Clara Sonia Fernandez, Franco Daniel Pastor, Silvina Estela Perez, Alejandro Pinotti, Carlos Daniel Pugliese, Bruno Daniel Rodriguez Pardina, Patricia Rolhaiser, Ignacio Nahuel Valetti, Lucio |
| author_facet | Pastor, Silvina Estela Perez, Alejandro Valetti, Lucio Crociara, Clara Sonia Fernandez, Franco Daniel Pugliese, Bruno Daniel Rodriguez Pardina, Patricia Rolhaiser, Ignacio Nahuel Pinotti, Carlos Daniel |
| author_sort | Pastor, Silvina Estela |
| collection | INTA Digital |
| description | This set of protocols was developed to detect Ascochyta rabiei, the fungus responsible for chickpea blight, in seeds. Given the significant impact of this disease and its potential to cause complete crop loss, even at low inoculum levels, optimizing detection protocols is crucial. This article proposes adjustments to key variables of a basic agar plate test—disinfection method, incubation, illumination, and culture medium—to improve microscopic identification (mainly using a stereomicroscope) and enhance differential growth of A. rabiei relative to other seed-borne fungi. Each step was carefully validated. Detection was verified through morphological and molecular confirmation of A. rabiei, as well as interlaboratory repeatability tests. In addition, the first distribution map of A. rabiei in Argentina was generated based on chickpea seed analyses conducted in the past decade and using the protocols outlined in this article. |
| format | info:ar-repo/semantics/artículo |
| id | INTA24798 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA247982025-12-29T15:22:01Z Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds Pastor, Silvina Estela Perez, Alejandro Valetti, Lucio Crociara, Clara Sonia Fernandez, Franco Daniel Pugliese, Bruno Daniel Rodriguez Pardina, Patricia Rolhaiser, Ignacio Nahuel Pinotti, Carlos Daniel Garbanzo Protocolo Detección Chickpeas Protocols Ascochyta rabiei Detection This set of protocols was developed to detect Ascochyta rabiei, the fungus responsible for chickpea blight, in seeds. Given the significant impact of this disease and its potential to cause complete crop loss, even at low inoculum levels, optimizing detection protocols is crucial. This article proposes adjustments to key variables of a basic agar plate test—disinfection method, incubation, illumination, and culture medium—to improve microscopic identification (mainly using a stereomicroscope) and enhance differential growth of A. rabiei relative to other seed-borne fungi. Each step was carefully validated. Detection was verified through morphological and molecular confirmation of A. rabiei, as well as interlaboratory repeatability tests. In addition, the first distribution map of A. rabiei in Argentina was generated based on chickpea seed analyses conducted in the past decade and using the protocols outlined in this article. Instituto de Patología Vegetal Fil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Perez, Alejandro. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Crociara, Clara Sonia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Fernandez, Franco Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Fernandez, Franco Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Pugliese, Bruno. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Pugliese, Bruno. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Rodriguez Pardina, Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Rodriguez Pardina, Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina Fil: Rolhaiser, Ignacio Nahuel. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Pinotti, Carlos Daniel. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina 2025-12-29T14:54:46Z 2025-12-29T14:54:46Z 2025-11 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/24798 https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpz1.70244 2691-1299 https://doi.org/10.1002/cpz1.70244 eng info:eu-repo/semantics/restrictedAccess 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 Wiley Current Protocols : 1-24 (November 2025) |
| spellingShingle | Garbanzo Protocolo Detección Chickpeas Protocols Ascochyta rabiei Detection Pastor, Silvina Estela Perez, Alejandro Valetti, Lucio Crociara, Clara Sonia Fernandez, Franco Daniel Pugliese, Bruno Daniel Rodriguez Pardina, Patricia Rolhaiser, Ignacio Nahuel Pinotti, Carlos Daniel Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title | Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title_full | Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title_fullStr | Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title_full_unstemmed | Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title_short | Toward Accurate Detection: Protocol Adjustment for Ascochyta rabiei in Chickpea Seeds |
| title_sort | toward accurate detection protocol adjustment for ascochyta rabiei in chickpea seeds |
| topic | Garbanzo Protocolo Detección Chickpeas Protocols Ascochyta rabiei Detection |
| url | http://hdl.handle.net/20.500.12123/24798 https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpz1.70244 https://doi.org/10.1002/cpz1.70244 |
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