Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems
Descripción del Articulo
Under the current water crisis in agriculture, irrigation methods for saving and conserving water are necessary. However, these methods must guarantee an appropriate yield with a concomitant economic benefit and a reduced environmental impact. In this study, two irrigation thresholds for irrigation...
Autores: | , , , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Instituto Nacional de Innovación Agraria |
Repositorio: | INIA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:null:20.500.12955/2245 |
Enlace del recurso: | https://hdl.handle.net/20.500.12955/2245 https://doi.org/10.3390/agronomy12122921 |
Nivel de acceso: | acceso abierto |
Materia: | Crop water stress index Irrigation scheduling Carbon footprint Benefit cost https://purl.org/pe-repo/ocde/ford#4.01.06 Drought stress Potatoes Estrés de sequia Calendario de los riegos Huella de carbono Papa |
id |
INIA_d9a84aba19acb3998ba499669b2b5a55 |
---|---|
oai_identifier_str |
oai:null:20.500.12955/2245 |
network_acronym_str |
INIA |
network_name_str |
INIA-Institucional |
repository_id_str |
4830 |
dc.title.en.fl_str_mv |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
title |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
spellingShingle |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems Rinza, Javier Crop water stress index Irrigation scheduling Carbon footprint Benefit cost https://purl.org/pe-repo/ocde/ford#4.01.06 Drought stress Irrigation scheduling Carbon footprint Potatoes Estrés de sequia Calendario de los riegos Huella de carbono Papa |
title_short |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
title_full |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
title_fullStr |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
title_full_unstemmed |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
title_sort |
Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems |
author |
Rinza, Javier |
author_facet |
Rinza, Javier Ramírez, David A. Ninanya, Johan De Mendiburu, Felipe García, Jerónimo Quiroz, Roberto |
author_role |
author |
author2 |
Ramírez, David A. Ninanya, Johan De Mendiburu, Felipe García, Jerónimo Quiroz, Roberto |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rinza, Javier Ramírez, David A. Ninanya, Johan De Mendiburu, Felipe García, Jerónimo Quiroz, Roberto |
dc.subject.en.fl_str_mv |
Crop water stress index Irrigation scheduling Carbon footprint Benefit cost |
topic |
Crop water stress index Irrigation scheduling Carbon footprint Benefit cost https://purl.org/pe-repo/ocde/ford#4.01.06 Drought stress Irrigation scheduling Carbon footprint Potatoes Estrés de sequia Calendario de los riegos Huella de carbono Papa |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#4.01.06 |
dc.subject.agrovoc.en.fl_str_mv |
Drought stress Irrigation scheduling Carbon footprint Potatoes |
dc.subject.agrovoc.es_PE.fl_str_mv |
Estrés de sequia Calendario de los riegos Huella de carbono Papa |
description |
Under the current water crisis in agriculture, irrigation methods for saving and conserving water are necessary. However, these methods must guarantee an appropriate yield with a concomitant economic benefit and a reduced environmental impact. In this study, two irrigation thresholds for irrigation timing (IT) based on thermal imagery were analyzed with the UNICA potato variety in three trials under drip (DI) and furrow (FI) irrigation during 2017–2018 in Lima, Peru. The control (T1) remained at >70% of soil field capacity. For other treatments, thresholds were defined based on stomatal conductance at light saturation (T2: 0.15 and T3: 0.05 mol H2O m−2 s−1) and crop water stress index (T2: 0.4 and T3: 0.6) based on canopy temperature. An integrated index (IIN) was established for the valuation of treatments using the criteria of high fresh tuber yield (FTY) and a low total amount of irrigated water, production cost (PC), and total C emissions (TE) and using criteria of a score. FI-T2 (0.69–0.72) and DI-T3 (0.19–0.29) showed the highest and lowest IIN value, respectively. FTY in T2 was not significantly reduced under FI, resulting in a lower PC regarding DI–T2 and emphasizing the usefulness of thermal imagery in determining watering schedules in potatoes under furrow irrigation systems. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-08-11T14:38:53Z |
dc.date.available.none.fl_str_mv |
2023-08-11T14:38:53Z |
dc.date.issued.fl_str_mv |
2022-11-23 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.citation.es_PE.fl_str_mv |
Rinza, J.; Ramírez, D. A.; Ninanya, J.; de Mendiburu, F.; García, J.; & Quiroz, R. (2022). Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems. Agronomy, 12(12), 2921. doi: 10.3390/agronomy12122921 |
dc.identifier.issn.none.fl_str_mv |
2073-4395 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12955/2245 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/agronomy12122921 |
identifier_str_mv |
Rinza, J.; Ramírez, D. A.; Ninanya, J.; de Mendiburu, F.; García, J.; & Quiroz, R. (2022). Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems. Agronomy, 12(12), 2921. doi: 10.3390/agronomy12122921 2073-4395 |
url |
https://hdl.handle.net/20.500.12955/2245 https://doi.org/10.3390/agronomy12122921 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:2073-4395 |
dc.relation.ispartofseries.en.fl_str_mv |
Agronomy |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.en.fl_str_mv |
MDPI |
dc.publisher.country.none.fl_str_mv |
CH |
dc.source.es_PE.fl_str_mv |
Instituto Nacional de Innovación Agraria |
dc.source.none.fl_str_mv |
reponame:INIA-Institucional instname:Instituto Nacional de Innovación Agraria instacron:INIA |
instname_str |
Instituto Nacional de Innovación Agraria |
instacron_str |
INIA |
institution |
INIA |
reponame_str |
INIA-Institucional |
collection |
INIA-Institucional |
dc.source.uri.es_PE.fl_str_mv |
Repositorio Institucional - INIA |
bitstream.url.fl_str_mv |
https://repositorio.inia.gob.pe/bitstreams/5ec002ce-dac9-4386-b8c5-a43c40d03334/download https://repositorio.inia.gob.pe/bitstreams/4bfadf53-12ae-470e-aff2-4ce6312aa938/download https://repositorio.inia.gob.pe/bitstreams/a55dc71f-cdad-45f9-ae03-5a0de8edaf78/download https://repositorio.inia.gob.pe/bitstreams/f20b9989-fff0-4e35-b762-69099a101d8d/download |
bitstream.checksum.fl_str_mv |
e3073c0ddb95745f3d717512b00f058f 8a4605be74aa9ea9d79846c1fba20a33 e893905faf81925914839860d27153b4 7332ef7151591022ab58cc7fcb934507 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional INIA |
repository.mail.fl_str_mv |
repositorio@inia.gob.pe |
_version_ |
1833331665609424896 |
spelling |
Rinza, JavierRamírez, David A.Ninanya, JohanDe Mendiburu, FelipeGarcía, JerónimoQuiroz, Roberto2023-08-11T14:38:53Z2023-08-11T14:38:53Z2022-11-23Rinza, J.; Ramírez, D. A.; Ninanya, J.; de Mendiburu, F.; García, J.; & Quiroz, R. (2022). Water saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systems. Agronomy, 12(12), 2921. doi: 10.3390/agronomy121229212073-4395https://hdl.handle.net/20.500.12955/2245https://doi.org/10.3390/agronomy12122921Under the current water crisis in agriculture, irrigation methods for saving and conserving water are necessary. However, these methods must guarantee an appropriate yield with a concomitant economic benefit and a reduced environmental impact. In this study, two irrigation thresholds for irrigation timing (IT) based on thermal imagery were analyzed with the UNICA potato variety in three trials under drip (DI) and furrow (FI) irrigation during 2017–2018 in Lima, Peru. The control (T1) remained at >70% of soil field capacity. For other treatments, thresholds were defined based on stomatal conductance at light saturation (T2: 0.15 and T3: 0.05 mol H2O m−2 s−1) and crop water stress index (T2: 0.4 and T3: 0.6) based on canopy temperature. An integrated index (IIN) was established for the valuation of treatments using the criteria of high fresh tuber yield (FTY) and a low total amount of irrigated water, production cost (PC), and total C emissions (TE) and using criteria of a score. FI-T2 (0.69–0.72) and DI-T3 (0.19–0.29) showed the highest and lowest IIN value, respectively. FTY in T2 was not significantly reduced under FI, resulting in a lower PC regarding DI–T2 and emphasizing the usefulness of thermal imagery in determining watering schedules in potatoes under furrow irrigation systems.This research received the financial support from “Programa Nacional de Innovación Agraria” (PNIA), with the Project No. 016-2015-INIA-PNIA/UPMSI/IE “Uso efectivo del agua en el cultivo de papa en zonas áridas: Mejorando el manejo del riego mediante el monitoreo del estatus hídrico para enfrentar al Cambio Climático”. This research received complementary funds from “Root, Tubers and Bananas” (RTB) CGIAR Research Program by CGIAR Trust Fund contributors https://www.cgiar.org/funders/ (accessed on 30 August 2022) and Excellence in Agronomy OneCGIAR Initiative.application/pdfengMDPICHurn:issn:2073-4395Agronomyinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Instituto Nacional de Innovación AgrariaRepositorio Institucional - INIAreponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIACrop water stress indexIrrigation schedulingCarbon footprintBenefit costhttps://purl.org/pe-repo/ocde/ford#4.01.06Drought stressIrrigation schedulingCarbon footprintPotatoesEstrés de sequiaCalendario de los riegosHuella de carbonoPapaWater saving using thermal imagery-based thresholds for timing irrigation in potatoes under drip and furrow irrigation systemsinfo:eu-repo/semantics/article1212ORIGINALRinza_et-al_2022_potato_irrigation.pdfRinza_et-al_2022_potato_irrigation.pdfArticle (English)application/pdf548773https://repositorio.inia.gob.pe/bitstreams/5ec002ce-dac9-4386-b8c5-a43c40d03334/downloade3073c0ddb95745f3d717512b00f058fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.inia.gob.pe/bitstreams/4bfadf53-12ae-470e-aff2-4ce6312aa938/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTRinza_et-al_2022_potato_irrigation.pdf.txtRinza_et-al_2022_potato_irrigation.pdf.txtExtracted texttext/plain52903https://repositorio.inia.gob.pe/bitstreams/a55dc71f-cdad-45f9-ae03-5a0de8edaf78/downloade893905faf81925914839860d27153b4MD53THUMBNAILRinza_et-al_2022_potato_irrigation.pdf.jpgRinza_et-al_2022_potato_irrigation.pdf.jpgGenerated Thumbnailimage/jpeg1654https://repositorio.inia.gob.pe/bitstreams/f20b9989-fff0-4e35-b762-69099a101d8d/download7332ef7151591022ab58cc7fcb934507MD5420.500.12955/2245oai:repositorio.inia.gob.pe:20.500.12955/22452023-12-15 17:33:07.719https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.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 |
score |
13.914502 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).