Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria

Detalhes bibliográficos
Autor(a) principal: Popova, Z.
Data de Publicação: 2008
Outros Autores: Pereira, L.S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/5795
Resumo: Research Paper: SW - Soil and Water
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spelling Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgariairrigation schedulingmaizefurrow irrigationBulgariaResearch Paper: SW - Soil and WaterClimate change creates uncertainties for irrigation management. To cope with them, simulations were performed for the present and scenario-built weather conditions that include a pessimistic scenario of precipitation decrease in the next 25 years. In a former study, the irrigation scheduling simulation model ISAREG was calibrated for two maize varieties: the water stress-resistant hybrid Kn-2L-611 and the water stress-sensitive hybrid H708. Both are subjects of this study, which compares four irrigation scheduling alternatives: (1) refilling the soil reservoir and adopting a management-allowed depletion fraction (MAD) of 0.47; (2) refilling the soil reservoir and adopting MAD ¼ 0.33; (3) partially refilling the soil reservoir and adopting MAD ¼ 0.47; and (4) crop without irrigation. For the very dry year and the present climate all alternative irrigation schedules behave similarly but for the average year, alternatives 1 and 3, allowing a larger soil water depletion with MAD ¼ 0.47, require less water than the alternative with MAD ¼ 0.33. However, analysis of impact on yields using simulations relative to every year during 1970–1992 shows that alternative 2 leads to less impact on yields. The results of simulations were compared with irrigation schedules presently advised in the region and show that the latter do not fully cover crop requirements in dry seasons, when some yield decrease occurs. Simulations for the pessimistic scenario show that all three irrigation scheduling alternatives can easily accommodate the foreseen changes mainly by selecting suitable irrigation dates. The results of simulations do not allow selecting one among the three alternatives as the best irrigation scheduling strategy but are useful for later building an information system for farmers using actual weather data. Relative to the rainfed crop, the results indicate that yield impacts highly increase for the pessimistic scenario, particularly for the water stresssensitive hybrid H708. The results indicate that vulnerability to climate change is higher for non-irrigated crops and that coping with possible rainfall decreases requires adopting less sensitive crop varieties, including when deficit irrigation would be applied for water saving.ElsevierRepositório da Universidade de LisboaPopova, Z.Pereira, L.S.2013-07-10T15:07:39Z20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/5795eng"Biosystems Engineering". ISSN 1537-5110. 99 (2008) 587-5971537-5110info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:36:39ZPortal AgregadorONG
dc.title.none.fl_str_mv Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
title Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
spellingShingle Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
Popova, Z.
irrigation scheduling
maize
furrow irrigation
Bulgaria
title_short Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
title_full Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
title_fullStr Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
title_full_unstemmed Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
title_sort Irrigation scheduling for furrow-irrigated maize under climate uncertainties in the Thrace plain, Bulgaria
author Popova, Z.
author_facet Popova, Z.
Pereira, L.S.
author_role author
author2 Pereira, L.S.
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Popova, Z.
Pereira, L.S.
dc.subject.por.fl_str_mv irrigation scheduling
maize
furrow irrigation
Bulgaria
topic irrigation scheduling
maize
furrow irrigation
Bulgaria
description Research Paper: SW - Soil and Water
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01T00:00:00Z
2013-07-10T15:07:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/5795
url http://hdl.handle.net/10400.5/5795
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Biosystems Engineering". ISSN 1537-5110. 99 (2008) 587-597
1537-5110
dc.rights.driver.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
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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