Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina

Autores
Palmero, Francisco; Carcedo, Ana J.P.; Haro Juarez, Ricardo Javier; Bigatton, Ezequiel Darío; Salvagiotti, Fernando; Ciampitti, Ignacio A.
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the semiarid pampas region of Argentina, peanut (Arachis hypogaea L.) crop undergoes frequent and unpredictable drought stress periods, with high probability of occurrence under future climate change projections. However, the overall frequency of occurrence and timing of different drought stress patterns under current and future climates has not been well investigated for the main peanut region in central Argentina. The aims of this study were to: (i) define the main peanut drought stress patterns and their occurrence (frequency) during the peanut growing season, via a crop growth modeling approach, (ii) test seed yield stability of the formerly defined (in i) drought stress patterns under future climate scenarios, and (iii) analyze the effect of sowing dates on peanut seed yield as a management strategy to mitigate the impact of future climate scenarios for peanut seed yield in the semiarid pampas region of Argentina. The APSIM-peanut growth model was calibrated and validated for local genotypes and production environments. Our study simulated seasonal drought stress patterns at five representative locations across the region under current and future climate scenarios, and tested six sowing dates as a practice to mitigate the impact of climate change. Clustering analysis identified two contrasting environment types (ETs). The high stress ET showed greater frequency of occurrence (>50%) at the southern locations. Future climate conditions increased the frequency of high stress ET by roughly 6% and reduced peanut seed yield by 12%, as average across locations. For both current and future climates, earlier sowing dates maximized peanut seed yield, regardless the locations. Changing sowing date was not an effective practice to mitigate the negative impact of climate change on peanut seed yield. The defined ETs allowed identifying a target population of environments (TPE) having implications for optimizing peanut breeding and management strategies. The projected increase in the frequency of drought stress for all tested locations provides a challenging scenario for sustaining peanut productivity in this region.
EEA Manfredi
Fil: Palmero, Francisco. Kansas State University. Department of Agronomy; Estados Unidos
Fil: Palmero, Francisco. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; Argentina
Fil: Carcedo, Ana J.P. Kansas State University. Department of Agronomy; Estados Unidos
Fil: Haro Juarez, Ricardo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Bigatton, Ezequiel Darío. Consejo Nacional de Investigaciones Científicas (CONICET); Argentina
Fil: Bigatton, Ezequiel Darío. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Argentina
Fil: Ciampitti, Ignacio A. Kansas State University. Department of Agronomy; Estados Unidos
Fuente
Field Crops Research 286 (1) :108615 (October 2022)
Materia
Drought Stress
Groundnuts
Estrés de Sequia
Cacahuete
Arachis hypogaea
Argentina
Maní
Región Pampeana
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/26010
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oai_identifier_str oai:localhost:20.500.12123/26010
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spelling Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of ArgentinaPalmero, FranciscoCarcedo, Ana J.P.Haro Juarez, Ricardo JavierBigatton, Ezequiel DaríoSalvagiotti, FernandoCiampitti, Ignacio A.Drought StressGroundnutsEstrés de SequiaCacahueteArachis hypogaeaArgentinaManíRegión PampeanaIn the semiarid pampas region of Argentina, peanut (Arachis hypogaea L.) crop undergoes frequent and unpredictable drought stress periods, with high probability of occurrence under future climate change projections. However, the overall frequency of occurrence and timing of different drought stress patterns under current and future climates has not been well investigated for the main peanut region in central Argentina. The aims of this study were to: (i) define the main peanut drought stress patterns and their occurrence (frequency) during the peanut growing season, via a crop growth modeling approach, (ii) test seed yield stability of the formerly defined (in i) drought stress patterns under future climate scenarios, and (iii) analyze the effect of sowing dates on peanut seed yield as a management strategy to mitigate the impact of future climate scenarios for peanut seed yield in the semiarid pampas region of Argentina. The APSIM-peanut growth model was calibrated and validated for local genotypes and production environments. Our study simulated seasonal drought stress patterns at five representative locations across the region under current and future climate scenarios, and tested six sowing dates as a practice to mitigate the impact of climate change. Clustering analysis identified two contrasting environment types (ETs). The high stress ET showed greater frequency of occurrence (>50%) at the southern locations. Future climate conditions increased the frequency of high stress ET by roughly 6% and reduced peanut seed yield by 12%, as average across locations. For both current and future climates, earlier sowing dates maximized peanut seed yield, regardless the locations. Changing sowing date was not an effective practice to mitigate the negative impact of climate change on peanut seed yield. The defined ETs allowed identifying a target population of environments (TPE) having implications for optimizing peanut breeding and management strategies. The projected increase in the frequency of drought stress for all tested locations provides a challenging scenario for sustaining peanut productivity in this region.EEA ManfrediFil: Palmero, Francisco. Kansas State University. Department of Agronomy; Estados UnidosFil: Palmero, Francisco. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; ArgentinaFil: Carcedo, Ana J.P. Kansas State University. Department of Agronomy; Estados UnidosFil: Haro Juarez, Ricardo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Bigatton, Ezequiel Darío. Consejo Nacional de Investigaciones Científicas (CONICET); ArgentinaFil: Bigatton, Ezequiel Darío. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; ArgentinaFil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; ArgentinaFil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); ArgentinaFil: Ciampitti, Ignacio A. Kansas State University. Department of Agronomy; Estados UnidosElsevier2026-04-29T18:08:13Z2026-04-29T18:08:13Z2022-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/26010https://www.sciencedirect.com/science/article/pii/S03784290220018610378-4290https://doi.org/10.1016/j.fcr.2022.108615Field Crops Research 286 (1) :108615 (October 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-09-24T11:43:06Zoai:localhost:20.500.12123/26010instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-09-24 11:43:06.903INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
title Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
spellingShingle Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
Palmero, Francisco
Drought Stress
Groundnuts
Estrés de Sequia
Cacahuete
Arachis hypogaea
Argentina
Maní
Región Pampeana
title_short Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
title_full Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
title_fullStr Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
title_full_unstemmed Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
title_sort Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
dc.creator.none.fl_str_mv Palmero, Francisco
Carcedo, Ana J.P.
Haro Juarez, Ricardo Javier
Bigatton, Ezequiel Darío
Salvagiotti, Fernando
Ciampitti, Ignacio A.
author Palmero, Francisco
author_facet Palmero, Francisco
Carcedo, Ana J.P.
Haro Juarez, Ricardo Javier
Bigatton, Ezequiel Darío
Salvagiotti, Fernando
Ciampitti, Ignacio A.
author_role author
author2 Carcedo, Ana J.P.
Haro Juarez, Ricardo Javier
Bigatton, Ezequiel Darío
Salvagiotti, Fernando
Ciampitti, Ignacio A.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Drought Stress
Groundnuts
Estrés de Sequia
Cacahuete
Arachis hypogaea
Argentina
Maní
Región Pampeana
topic Drought Stress
Groundnuts
Estrés de Sequia
Cacahuete
Arachis hypogaea
Argentina
Maní
Región Pampeana
dc.description.none.fl_txt_mv In the semiarid pampas region of Argentina, peanut (Arachis hypogaea L.) crop undergoes frequent and unpredictable drought stress periods, with high probability of occurrence under future climate change projections. However, the overall frequency of occurrence and timing of different drought stress patterns under current and future climates has not been well investigated for the main peanut region in central Argentina. The aims of this study were to: (i) define the main peanut drought stress patterns and their occurrence (frequency) during the peanut growing season, via a crop growth modeling approach, (ii) test seed yield stability of the formerly defined (in i) drought stress patterns under future climate scenarios, and (iii) analyze the effect of sowing dates on peanut seed yield as a management strategy to mitigate the impact of future climate scenarios for peanut seed yield in the semiarid pampas region of Argentina. The APSIM-peanut growth model was calibrated and validated for local genotypes and production environments. Our study simulated seasonal drought stress patterns at five representative locations across the region under current and future climate scenarios, and tested six sowing dates as a practice to mitigate the impact of climate change. Clustering analysis identified two contrasting environment types (ETs). The high stress ET showed greater frequency of occurrence (>50%) at the southern locations. Future climate conditions increased the frequency of high stress ET by roughly 6% and reduced peanut seed yield by 12%, as average across locations. For both current and future climates, earlier sowing dates maximized peanut seed yield, regardless the locations. Changing sowing date was not an effective practice to mitigate the negative impact of climate change on peanut seed yield. The defined ETs allowed identifying a target population of environments (TPE) having implications for optimizing peanut breeding and management strategies. The projected increase in the frequency of drought stress for all tested locations provides a challenging scenario for sustaining peanut productivity in this region.
EEA Manfredi
Fil: Palmero, Francisco. Kansas State University. Department of Agronomy; Estados Unidos
Fil: Palmero, Francisco. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; Argentina
Fil: Carcedo, Ana J.P. Kansas State University. Department of Agronomy; Estados Unidos
Fil: Haro Juarez, Ricardo Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Bigatton, Ezequiel Darío. Consejo Nacional de Investigaciones Científicas (CONICET); Argentina
Fil: Bigatton, Ezequiel Darío. Universidad Nacional de Córdoba (UNC). Facultad de Ciencias Agropecuarias; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina
Fil: Salvagiotti, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Argentina
Fil: Ciampitti, Ignacio A. Kansas State University. Department of Agronomy; Estados Unidos
description In the semiarid pampas region of Argentina, peanut (Arachis hypogaea L.) crop undergoes frequent and unpredictable drought stress periods, with high probability of occurrence under future climate change projections. However, the overall frequency of occurrence and timing of different drought stress patterns under current and future climates has not been well investigated for the main peanut region in central Argentina. The aims of this study were to: (i) define the main peanut drought stress patterns and their occurrence (frequency) during the peanut growing season, via a crop growth modeling approach, (ii) test seed yield stability of the formerly defined (in i) drought stress patterns under future climate scenarios, and (iii) analyze the effect of sowing dates on peanut seed yield as a management strategy to mitigate the impact of future climate scenarios for peanut seed yield in the semiarid pampas region of Argentina. The APSIM-peanut growth model was calibrated and validated for local genotypes and production environments. Our study simulated seasonal drought stress patterns at five representative locations across the region under current and future climate scenarios, and tested six sowing dates as a practice to mitigate the impact of climate change. Clustering analysis identified two contrasting environment types (ETs). The high stress ET showed greater frequency of occurrence (>50%) at the southern locations. Future climate conditions increased the frequency of high stress ET by roughly 6% and reduced peanut seed yield by 12%, as average across locations. For both current and future climates, earlier sowing dates maximized peanut seed yield, regardless the locations. Changing sowing date was not an effective practice to mitigate the negative impact of climate change on peanut seed yield. The defined ETs allowed identifying a target population of environments (TPE) having implications for optimizing peanut breeding and management strategies. The projected increase in the frequency of drought stress for all tested locations provides a challenging scenario for sustaining peanut productivity in this region.
publishDate 2022
dc.date.none.fl_str_mv 2022-07
2026-04-29T18:08:13Z
2026-04-29T18:08:13Z
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/20.500.12123/26010
https://www.sciencedirect.com/science/article/pii/S0378429022001861
0378-4290
https://doi.org/10.1016/j.fcr.2022.108615
url http://hdl.handle.net/20.500.12123/26010
https://www.sciencedirect.com/science/article/pii/S0378429022001861
https://doi.org/10.1016/j.fcr.2022.108615
identifier_str_mv 0378-4290
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv 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)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Field Crops Research 286 (1) :108615 (October 2022)
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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