Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina
- Autores
- Renzi Pugni, Juan Pablo; Traversa, Guadalupe; Vigna, Mario Raul; Chantre Balacca, Guillermo Ruben
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Climate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early-stage establishment of weeds are of utmost importance from a practical and strategic decision-making management point of view. The objective of this work was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977–2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year-to-year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal-time parameters. In the short-term, precipitation regimes during both the after-ripening and emergence phases largely explained the resulting emergence strategy. In the long-term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet-hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions.
EEA Hilario Ascasubi
Fil: Renzi Pugni, Juan Pablo. Universidad Nacional del Sur. Departamento de Agronomía; Argentina
Fil: Renzi Pugni, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina.
Fil: Traversa, Guadalupe. Universidad Nacional del Sur. Departamento de Agronomía; Argentina.
Fil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina
Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina.
Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina
Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina - Fuente
- Annals of Applied Biology (First published: 13 February 2022)
- Materia
-
Avena fatua
Clima
Factores Climáticos
Despunte de la Plántula
Dormancia de Semillas
Climate
Climatic Factors
Seedling Emergence
Seed Dormancy
Región Pampa Semiárida - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/11241
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Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of ArgentinaRenzi Pugni, Juan PabloTraversa, GuadalupeVigna, Mario RaulChantre Balacca, Guillermo RubenAvena fatuaClimaFactores ClimáticosDespunte de la PlántulaDormancia de SemillasClimateClimatic FactorsSeedling EmergenceSeed DormancyRegión Pampa SemiáridaClimate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early-stage establishment of weeds are of utmost importance from a practical and strategic decision-making management point of view. The objective of this work was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977–2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year-to-year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal-time parameters. In the short-term, precipitation regimes during both the after-ripening and emergence phases largely explained the resulting emergence strategy. In the long-term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet-hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions.EEA Hilario AscasubiFil: Renzi Pugni, Juan Pablo. Universidad Nacional del Sur. Departamento de Agronomía; ArgentinaFil: Renzi Pugni, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina.Fil: Traversa, Guadalupe. Universidad Nacional del Sur. Departamento de Agronomía; Argentina.Fil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina.Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida; ArgentinaFil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; ArgentinaWileyinfo:eu-repo/date/embargoEnd/2023-02-222022-02-22T14:34:33Z2022-02-22T14:34:33Z2022-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/11241https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.127570003-47461744-7348https://doi.org/10.1111/aab.12757Annals of Applied Biology (First published: 13 February 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-18T10:08:31Zoai:localhost:20.500.12123/11241instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-18 10:08:31.642INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
title |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
spellingShingle |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina Renzi Pugni, Juan Pablo Avena fatua Clima Factores Climáticos Despunte de la Plántula Dormancia de Semillas Climate Climatic Factors Seedling Emergence Seed Dormancy Región Pampa Semiárida |
title_short |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
title_full |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
title_fullStr |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
title_full_unstemmed |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
title_sort |
Climate effect on Avena fatua field emergence dynamics: a 38-year experiment in the Semiarid Pampean Region of Argentina |
dc.creator.none.fl_str_mv |
Renzi Pugni, Juan Pablo Traversa, Guadalupe Vigna, Mario Raul Chantre Balacca, Guillermo Ruben |
author |
Renzi Pugni, Juan Pablo |
author_facet |
Renzi Pugni, Juan Pablo Traversa, Guadalupe Vigna, Mario Raul Chantre Balacca, Guillermo Ruben |
author_role |
author |
author2 |
Traversa, Guadalupe Vigna, Mario Raul Chantre Balacca, Guillermo Ruben |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Avena fatua Clima Factores Climáticos Despunte de la Plántula Dormancia de Semillas Climate Climatic Factors Seedling Emergence Seed Dormancy Región Pampa Semiárida |
topic |
Avena fatua Clima Factores Climáticos Despunte de la Plántula Dormancia de Semillas Climate Climatic Factors Seedling Emergence Seed Dormancy Región Pampa Semiárida |
dc.description.none.fl_txt_mv |
Climate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early-stage establishment of weeds are of utmost importance from a practical and strategic decision-making management point of view. The objective of this work was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977–2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year-to-year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal-time parameters. In the short-term, precipitation regimes during both the after-ripening and emergence phases largely explained the resulting emergence strategy. In the long-term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet-hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions. EEA Hilario Ascasubi Fil: Renzi Pugni, Juan Pablo. Universidad Nacional del Sur. Departamento de Agronomía; Argentina Fil: Renzi Pugni, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina. Fil: Traversa, Guadalupe. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Fil: Vigna, Mario Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bordenave; Argentina Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Fil: Chantre Balacca, Guillermo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina |
description |
Climate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early-stage establishment of weeds are of utmost importance from a practical and strategic decision-making management point of view. The objective of this work was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977–2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year-to-year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal-time parameters. In the short-term, precipitation regimes during both the after-ripening and emergence phases largely explained the resulting emergence strategy. In the long-term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet-hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-22T14:34:33Z 2022-02-22T14:34:33Z 2022-02 info:eu-repo/date/embargoEnd/2023-02-22 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/11241 https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.12757 0003-4746 1744-7348 https://doi.org/10.1111/aab.12757 |
url |
http://hdl.handle.net/20.500.12123/11241 https://onlinelibrary.wiley.com/doi/abs/10.1111/aab.12757 https://doi.org/10.1111/aab.12757 |
identifier_str_mv |
0003-4746 1744-7348 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
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restrictedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
Annals of Applied Biology (First published: 13 February 2022) 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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13.001348 |