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...

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Detalles Bibliográficos
Autores: Rinza, Javier, Ramírez, David A., Ninanya, Johan, De Mendiburu, Felipe, García, Jerónimo, Quiroz, Roberto
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
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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
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dc.relation.ispartofseries.en.fl_str_mv Agronomy
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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
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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.peTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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