Response of okra based on electrophysiological modeling under salt stress and re-watering
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/37178 |
Resumo: | In this study, two okra cultivars, Chinese green and Chinese red were used to assess the water status and growth parameters subjected to salt stress by adding NaCl and CaCl2 with same proportion in Hoagland culture solution at levels of 0%, 0.6%, 1.2%, 1.8% and re-watering at levels of 0.6-0%, 1.2-0.6%, 1.8-1.2%. The measured water potential and physiological capacitance values were used to calculate leaf tensity. Salt stress significantly reduced growth and water status parameters. Chinese green showed more reduction as compared to Chinese red but at 1.8% salt stress reduction of both cultivars were almost same. Re-watering had given a positive response for both cultivars to recover from higher salt stress. Dry weight, physiological capacitance, leaf tensity and salts concentration levels models gave predicting re-watering levels in percentage, also gave values of dilute irrigation point for Chinese red 9.05 or 10.00 ds m-1 and Chinese green 6.67 or 5.66 ds m-1. At resulted dilution points, plants of both cultivars were under high salt stress, which emphasized the need to re-water or dilution of salts for the survival of plants. The most effective predicting re-watering level and dilute irrigation point of both cultivars were found in same regime, so these models findings were very credible and meaningful. Higher dilute irrigation value of Chinese red indicates its more tolerance ability than Chinese green. Model's equations also gave direct irrigation point of Chinese red 1.32 or 1.62 ds m-1 and Chinese green 2.07 or 0.38 ds m-1. It was concluded that predicting re-watering levels, dilute and direct irrigation point help to get maximum production using saline water resources. |
id |
UFU-14_0618813f46014254d5c96e637f746f0d |
---|---|
oai_identifier_str |
oai:ojs.www.seer.ufu.br:article/37178 |
network_acronym_str |
UFU-14 |
network_name_str |
Bioscience journal (Online) |
repository_id_str |
|
spelling |
Response of okra based on electrophysiological modeling under salt stress and re-watering Resposta do okra com base em modelagem eletrofisiológica sob stress de sal e re-wateringWater potencialPhysiological capacitanceLeaf tensityPlant growthAgricultural SciencesIn this study, two okra cultivars, Chinese green and Chinese red were used to assess the water status and growth parameters subjected to salt stress by adding NaCl and CaCl2 with same proportion in Hoagland culture solution at levels of 0%, 0.6%, 1.2%, 1.8% and re-watering at levels of 0.6-0%, 1.2-0.6%, 1.8-1.2%. The measured water potential and physiological capacitance values were used to calculate leaf tensity. Salt stress significantly reduced growth and water status parameters. Chinese green showed more reduction as compared to Chinese red but at 1.8% salt stress reduction of both cultivars were almost same. Re-watering had given a positive response for both cultivars to recover from higher salt stress. Dry weight, physiological capacitance, leaf tensity and salts concentration levels models gave predicting re-watering levels in percentage, also gave values of dilute irrigation point for Chinese red 9.05 or 10.00 ds m-1 and Chinese green 6.67 or 5.66 ds m-1. At resulted dilution points, plants of both cultivars were under high salt stress, which emphasized the need to re-water or dilution of salts for the survival of plants. The most effective predicting re-watering level and dilute irrigation point of both cultivars were found in same regime, so these models findings were very credible and meaningful. Higher dilute irrigation value of Chinese red indicates its more tolerance ability than Chinese green. Model's equations also gave direct irrigation point of Chinese red 1.32 or 1.62 ds m-1 and Chinese green 2.07 or 0.38 ds m-1. It was concluded that predicting re-watering levels, dilute and direct irrigation point help to get maximum production using saline water resources.Neste estudo, foram utilizados dois cultivares de quiabo, verde chinês e vermelho chinês para avaliar o estado da água e parâmetros de crescimento submetidos a estresse salino, adicionando NaCl e CaCl2 com a mesma proporção em solução de cultura de Hoagland a níveis de 0%, 0,6%, 1,2% , 1,8% e re-irrigação a níveis de 0,6-0%, 1,2-0,6%, 1,8-1,2%. O potencial de água medido e os valores de capacitância fisiológica foram utilizados para calcular a tensão das folhas. O estresse com sal reduziu significativamente os parâmetros de crescimento e de estado da água. O verde chinês mostrou mais redução em comparação ao vermelho chinês, mas em 1,8% a redução do estresse salino de ambas as cultivares foi quase a mesma. Re-rega tinha dado uma resposta positiva para ambas as cultivares para recuperar de maior sal estresse. Os valores de peso seco, capacitância fisiológica, tensão da folha e níveis de concentração de sais mostraram predizer níveis de irrigação em porcentagem, também apresentaram valores de ponto de irrigação diluído para vermelho chinês 9,05 ou 10,00 ds m-1 e verde chinês 6,67 ou 5,66 ds m-1. Nos pontos de diluição resultantes, as plantas de ambas as cultivares estavam sob alto estresse salino, o que enfatizou a necessidade de re-água ou diluição de sais para a sobrevivência das plantas. O nível de irrigação mais eficiente e o ponto de irrigação diluído de ambas as cultivares foram encontrados no mesmo regime, portanto, esses resultados foram muito confiáveis e significativos. Maior valor de irrigação diluída de vermelho chinês indica a sua capacidade de tolerância mais do que verde chinês. As equações do modelo também deram ponto de irrigação direta de vermelho chinês 1,32 ou 1,62 ds m-1 e verde chinês 2,07 ou 0,38 ds m-1. Concluiu-se que a previsão dos níveis de rega, o ponto de irrigação diluído e direto ajudam a obter a máxima produção usando recursos hídricos salinos.EDUFU2017-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3717810.14393/BJ-v33n5a2017-37178Bioscience Journal ; Vol. 33 No. 5 (2017): Sept./Oct.; 1219-1229Bioscience Journal ; v. 33 n. 5 (2017): Sept./Oct.; 1219-12291981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/37178/20826Brazil; ContemporaryCopyright (c) 2017 Ahmad Azeem, Yanyou Wu, Qaiser Javed, Deke Xing, Ikram Ullah, Francis Kumihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzeem, AhmadWu, YanyouJaved, QaiserXing, DekeUllah, IkramKumi, Francis2022-02-12T21:36:36Zoai:ojs.www.seer.ufu.br:article/37178Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-12T21:36:36Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Response of okra based on electrophysiological modeling under salt stress and re-watering Resposta do okra com base em modelagem eletrofisiológica sob stress de sal e re-watering |
title |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
spellingShingle |
Response of okra based on electrophysiological modeling under salt stress and re-watering Azeem, Ahmad Water potencial Physiological capacitance Leaf tensity Plant growth Agricultural Sciences |
title_short |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
title_full |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
title_fullStr |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
title_full_unstemmed |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
title_sort |
Response of okra based on electrophysiological modeling under salt stress and re-watering |
author |
Azeem, Ahmad |
author_facet |
Azeem, Ahmad Wu, Yanyou Javed, Qaiser Xing, Deke Ullah, Ikram Kumi, Francis |
author_role |
author |
author2 |
Wu, Yanyou Javed, Qaiser Xing, Deke Ullah, Ikram Kumi, Francis |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Azeem, Ahmad Wu, Yanyou Javed, Qaiser Xing, Deke Ullah, Ikram Kumi, Francis |
dc.subject.por.fl_str_mv |
Water potencial Physiological capacitance Leaf tensity Plant growth Agricultural Sciences |
topic |
Water potencial Physiological capacitance Leaf tensity Plant growth Agricultural Sciences |
description |
In this study, two okra cultivars, Chinese green and Chinese red were used to assess the water status and growth parameters subjected to salt stress by adding NaCl and CaCl2 with same proportion in Hoagland culture solution at levels of 0%, 0.6%, 1.2%, 1.8% and re-watering at levels of 0.6-0%, 1.2-0.6%, 1.8-1.2%. The measured water potential and physiological capacitance values were used to calculate leaf tensity. Salt stress significantly reduced growth and water status parameters. Chinese green showed more reduction as compared to Chinese red but at 1.8% salt stress reduction of both cultivars were almost same. Re-watering had given a positive response for both cultivars to recover from higher salt stress. Dry weight, physiological capacitance, leaf tensity and salts concentration levels models gave predicting re-watering levels in percentage, also gave values of dilute irrigation point for Chinese red 9.05 or 10.00 ds m-1 and Chinese green 6.67 or 5.66 ds m-1. At resulted dilution points, plants of both cultivars were under high salt stress, which emphasized the need to re-water or dilution of salts for the survival of plants. The most effective predicting re-watering level and dilute irrigation point of both cultivars were found in same regime, so these models findings were very credible and meaningful. Higher dilute irrigation value of Chinese red indicates its more tolerance ability than Chinese green. Model's equations also gave direct irrigation point of Chinese red 1.32 or 1.62 ds m-1 and Chinese green 2.07 or 0.38 ds m-1. It was concluded that predicting re-watering levels, dilute and direct irrigation point help to get maximum production using saline water resources. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/37178 10.14393/BJ-v33n5a2017-37178 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/37178 |
identifier_str_mv |
10.14393/BJ-v33n5a2017-37178 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/37178/20826 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Ahmad Azeem, Yanyou Wu, Qaiser Javed, Deke Xing, Ikram Ullah, Francis Kumi https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Ahmad Azeem, Yanyou Wu, Qaiser Javed, Deke Xing, Ikram Ullah, Francis Kumi https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 33 No. 5 (2017): Sept./Oct.; 1219-1229 Bioscience Journal ; v. 33 n. 5 (2017): Sept./Oct.; 1219-1229 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069077779316736 |