Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan

In Punjab, Pakistan, the “Warabandi” principle guides the distribution of surface water in tertiary canal networks to each farm. The allocated amount is proportional to farm size and provided according to a predetermined schedules in a 7-day fixed rotation. Limited canal water and rigid rotations of...

Descripción completa

Detalles Bibliográficos
Autores: Sajid, Imran, Tischbein, Bernhard, Borgemeister, Christian, García Vila, Margarita, Bakhsh, Allah, Flörke, Martina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/393378
Acceso en línea:http://hdl.handle.net/10261/393378
https://api.elsevier.com/content/abstract/scopus_id/85192916956
Access Level:acceso abierto
Palabra clave:AquaCrop model
Cotton irrigation optimization
Field water balance
Water productivity
id ES_24cd7132ac01c853bd95ef42e05ce0d9
oai_identifier_str oai:digital.csic.es:10261/393378
network_acronym_str ES
network_name_str España
repository_id_str
spelling Assessing cotton irrigation scheduling strategies under rotational delivery schedules in PakistanSajid, ImranTischbein, BernhardBorgemeister, ChristianGarcía Vila, MargaritaBakhsh, AllahFlörke, MartinaAquaCrop modelCotton irrigation optimizationField water balanceWater productivityIn Punjab, Pakistan, the “Warabandi” principle guides the distribution of surface water in tertiary canal networks to each farm. The allocated amount is proportional to farm size and provided according to a predetermined schedules in a 7-day fixed rotation. Limited canal water and rigid rotations of the Warabandi-guided water allocation led to unsustainable pumping of groundwater and relatively low field application efficiency. Using both site monitoring and modelling, we assessed cotton irrigation scheduling under current practices and the planning options in the context of the Warabandi principle. The farming practices of two raised-bed furrow cotton fields were intensively monitored at the Mungi distributary canal command area in Punjab. The AquaCrop model was parameterized and validated using 2019 and 2020 datasets and then applied to assess four irrigation scheduling scenarios. Scenario 1 reflects the current irrigation practice under canal water and groundwater use, while for scenarios 2, 3, and 4, solely canal water was considered and irrigation followed a fixed rotation of 7-days, 14-days, and targeted intervals, respectively. According to simulations’ outputs, scenarios 2, 3, and 4 resulted in better performance compared to the current practices in both fields by reducing percolation substantially up to 90% below the root zone and lowered soil evaporation by up to 27% enebling similar yields ∼2.2 ton/ha raw cotton and higher water productivity. Under the frame conditions of Warabandi, scenario 4 was a promising option for introducing more flexible and demand-oriented irrigation at the farm level targeting cotton's water-stress sensitive growth stages by adapting irrigation application to rainfall events and refilling the soil slightly below field capacity level during each irrigation event to reduce percolation. The study delivered detailed information about cotton irrigation scheduling for on-farm water management, considering a bottom-up approach in Punjab.Peer reviewedElsevier BVGarcía Vila, Margarita [0000-0001-5737-4669]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/393378https://api.elsevier.com/content/abstract/scopus_id/85192916956reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.ecohyd.2024.04.005Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3933782026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
title Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
spellingShingle Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
Sajid, Imran
AquaCrop model
Cotton irrigation optimization
Field water balance
Water productivity
title_short Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
title_full Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
title_fullStr Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
title_full_unstemmed Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
title_sort Assessing cotton irrigation scheduling strategies under rotational delivery schedules in Pakistan
dc.creator.none.fl_str_mv Sajid, Imran
Tischbein, Bernhard
Borgemeister, Christian
García Vila, Margarita
Bakhsh, Allah
Flörke, Martina
author Sajid, Imran
author_facet Sajid, Imran
Tischbein, Bernhard
Borgemeister, Christian
García Vila, Margarita
Bakhsh, Allah
Flörke, Martina
author_role author
author2 Tischbein, Bernhard
Borgemeister, Christian
García Vila, Margarita
Bakhsh, Allah
Flörke, Martina
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv García Vila, Margarita [0000-0001-5737-4669]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv AquaCrop model
Cotton irrigation optimization
Field water balance
Water productivity
topic AquaCrop model
Cotton irrigation optimization
Field water balance
Water productivity
description In Punjab, Pakistan, the “Warabandi” principle guides the distribution of surface water in tertiary canal networks to each farm. The allocated amount is proportional to farm size and provided according to a predetermined schedules in a 7-day fixed rotation. Limited canal water and rigid rotations of the Warabandi-guided water allocation led to unsustainable pumping of groundwater and relatively low field application efficiency. Using both site monitoring and modelling, we assessed cotton irrigation scheduling under current practices and the planning options in the context of the Warabandi principle. The farming practices of two raised-bed furrow cotton fields were intensively monitored at the Mungi distributary canal command area in Punjab. The AquaCrop model was parameterized and validated using 2019 and 2020 datasets and then applied to assess four irrigation scheduling scenarios. Scenario 1 reflects the current irrigation practice under canal water and groundwater use, while for scenarios 2, 3, and 4, solely canal water was considered and irrigation followed a fixed rotation of 7-days, 14-days, and targeted intervals, respectively. According to simulations’ outputs, scenarios 2, 3, and 4 resulted in better performance compared to the current practices in both fields by reducing percolation substantially up to 90% below the root zone and lowered soil evaporation by up to 27% enebling similar yields ∼2.2 ton/ha raw cotton and higher water productivity. Under the frame conditions of Warabandi, scenario 4 was a promising option for introducing more flexible and demand-oriented irrigation at the farm level targeting cotton's water-stress sensitive growth stages by adapting irrigation application to rainfall events and refilling the soil slightly below field capacity level during each irrigation event to reduce percolation. The study delivered detailed information about cotton irrigation scheduling for on-farm water management, considering a bottom-up approach in Punjab.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/393378
https://api.elsevier.com/content/abstract/scopus_id/85192916956
url http://hdl.handle.net/10261/393378
https://api.elsevier.com/content/abstract/scopus_id/85192916956
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.ecohyd.2024.04.005
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404720952508416
score 15,81155

Similares en LA Referencia