A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation

Autores
Salgado, Ramiro; Tamer, Ariel Rolando; Salvatierra, Jose; Cornacchione, Monica
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Póster y resumen
This study aimed to validate a remote sensing approach for estimating first-year water use of alfalfa grown for hay and seed production, using a field dataset. To validate this, gravimetric sampling was conducted monthly at two sites (S1: hay production; S2: seed production) to determine soil moisture content down to a depth of 2 meters. A root zone soil water balance was calculated using soil moisture content (ETr), and results were compared to those estimated using a remote sensing approach (ETc,VI). Hay dry matter yield (Yh) and seed yield (Ys) were determined at S1 and S2, respectively. Water use efficiency was calculated using the soil moisture content at S1 (WUEh,r) and S2 (WUEs,r), as well as the remote sensing approach at S1 (WUEh,VI) and S2 (WUEs,VI). The remote sensing approach was evaluated by means of the root mean square error (RMSE) between ETr and ETc,VI for each cut and harvest.
EEA Santiago del Estero
Fil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Tamer, Ariel Rolando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Salvatierra, Jose Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Cornacchione, Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fuente
4th. World Alfalfa Congress, Reims and Châlons-en-Champagne (France), from 3 to 6 November 2025
Materia
Medicago sativa
Remote Sensing
Water Use
Evapotranspiration
Yields
Irrigation
Soil Water Balance
Semi-arid Zones
Teledetección
Uso del Agua
Evapotranspiración
Rendimiento
Riego
Balance Hídrico del Suelo
Zona Semiárida
Alfalfa
Lucerne
Nivel de accesibilidad
acceso abierto
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:20.500.12123/27788
Acceder
id INTADig_8b255183dae497ff563304291460e798
oai_identifier_str oai:localhost:20.500.12123/27788
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigationSalgado, RamiroTamer, Ariel RolandoSalvatierra, JoseCornacchione, MonicaMedicago sativaRemote SensingWater UseEvapotranspirationYieldsIrrigationSoil Water BalanceSemi-arid ZonesTeledetecciónUso del AguaEvapotranspiraciónRendimientoRiegoBalance Hídrico del SueloZona SemiáridaAlfalfaLucernePóster y resumenThis study aimed to validate a remote sensing approach for estimating first-year water use of alfalfa grown for hay and seed production, using a field dataset. To validate this, gravimetric sampling was conducted monthly at two sites (S1: hay production; S2: seed production) to determine soil moisture content down to a depth of 2 meters. A root zone soil water balance was calculated using soil moisture content (ETr), and results were compared to those estimated using a remote sensing approach (ETc,VI). Hay dry matter yield (Yh) and seed yield (Ys) were determined at S1 and S2, respectively. Water use efficiency was calculated using the soil moisture content at S1 (WUEh,r) and S2 (WUEs,r), as well as the remote sensing approach at S1 (WUEh,VI) and S2 (WUEs,VI). The remote sensing approach was evaluated by means of the root mean square error (RMSE) between ETr and ETc,VI for each cut and harvest.EEA Santiago del EsteroFil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Tamer, Ariel Rolando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Salvatierra, Jose Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Cornacchione, Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaCIDE A.S.B.L.2026-09-15T10:48:24Z2026-09-15T10:48:24Z2025-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/277884th. World Alfalfa Congress, Reims and Châlons-en-Champagne (France), from 3 to 6 November 2025reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-10-01T10:25:49Zoai:localhost:20.500.12123/27788instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-10-01 10:25:50.156INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
title A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
spellingShingle A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
Salgado, Ramiro
Medicago sativa
Remote Sensing
Water Use
Evapotranspiration
Yields
Irrigation
Soil Water Balance
Semi-arid Zones
Teledetección
Uso del Agua
Evapotranspiración
Rendimiento
Riego
Balance Hídrico del Suelo
Zona Semiárida
Alfalfa
Lucerne
title_short A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
title_full A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
title_fullStr A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
title_full_unstemmed A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
title_sort A remote sensing approach assessment for water use estimation in alfalfa hay and seed yield in a semiarid region under irrigation
dc.creator.none.fl_str_mv Salgado, Ramiro
Tamer, Ariel Rolando
Salvatierra, Jose
Cornacchione, Monica
author Salgado, Ramiro
author_facet Salgado, Ramiro
Tamer, Ariel Rolando
Salvatierra, Jose
Cornacchione, Monica
author_role author
author2 Tamer, Ariel Rolando
Salvatierra, Jose
Cornacchione, Monica
author2_role author
author
author
dc.subject.none.fl_str_mv Medicago sativa
Remote Sensing
Water Use
Evapotranspiration
Yields
Irrigation
Soil Water Balance
Semi-arid Zones
Teledetección
Uso del Agua
Evapotranspiración
Rendimiento
Riego
Balance Hídrico del Suelo
Zona Semiárida
Alfalfa
Lucerne
topic Medicago sativa
Remote Sensing
Water Use
Evapotranspiration
Yields
Irrigation
Soil Water Balance
Semi-arid Zones
Teledetección
Uso del Agua
Evapotranspiración
Rendimiento
Riego
Balance Hídrico del Suelo
Zona Semiárida
Alfalfa
Lucerne
dc.description.none.fl_txt_mv Póster y resumen
This study aimed to validate a remote sensing approach for estimating first-year water use of alfalfa grown for hay and seed production, using a field dataset. To validate this, gravimetric sampling was conducted monthly at two sites (S1: hay production; S2: seed production) to determine soil moisture content down to a depth of 2 meters. A root zone soil water balance was calculated using soil moisture content (ETr), and results were compared to those estimated using a remote sensing approach (ETc,VI). Hay dry matter yield (Yh) and seed yield (Ys) were determined at S1 and S2, respectively. Water use efficiency was calculated using the soil moisture content at S1 (WUEh,r) and S2 (WUEs,r), as well as the remote sensing approach at S1 (WUEh,VI) and S2 (WUEs,VI). The remote sensing approach was evaluated by means of the root mean square error (RMSE) between ETr and ETc,VI for each cut and harvest.
EEA Santiago del Estero
Fil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Tamer, Ariel Rolando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Salvatierra, Jose Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
Fil: Cornacchione, Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina
description Póster y resumen
publishDate 2025
dc.date.none.fl_str_mv 2025-11
2026-09-15T10:48:24Z
2026-09-15T10:48:24Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/27788
url http://hdl.handle.net/20.500.12123/27788
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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 openAccess
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 CIDE A.S.B.L.
publisher.none.fl_str_mv CIDE A.S.B.L.
dc.source.none.fl_str_mv 4th. World Alfalfa Congress, Reims and Châlons-en-Champagne (France), from 3 to 6 November 2025
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
_version_ 1877858349681213440
score 13.364332

Publicaciones similares