Evidence map›Paper›PMID 42438928›Full record

ArticlePlant signaling & behavior2026

Partial root-zone drying enhances antioxidant signaling and physiological resilience in psyllium (

Rashid Iqbal, Salman Ahmad, Khaqan Suleiman, Ghulam Murtaza, Sajid Ullah, Wiwiek Harsonowati, Dilfuza Jabborova, Sidra Ahmad, Allah Ditta, Mohamed Taha Yassin

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Article in Plant signaling & behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rashid IqbalDepartment of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Salman AhmadDepartment of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Khaqan SuleimanDepartment of Humanities and Social Sciences (H&SS), Bahria University, Islamabad, Pakistan.
Ghulam MurtazaSchool of Agriculture, Yunnan University, Kunming, China.
Sajid UllahDepartment of Water Resources and Environmental Engineering, Nangarhar University, Jalalabad, Afghanistan.
Wiwiek HarsonowatiResearch Center for Horticulture, National Research and Innovation Agency (BRIN), Cibinong, Indonesia.
Dilfuza JabborovaInstitute of Genetics and Plant Experimental Biology of the Academy of Sciences of Uzbekistan, Kibray, Uzbekistan.ORCID 0000-0003-2327-9545
Sidra AhmadInstitute of Biotechnology and Genetic Engineering, The University of Agriculture Peshawar, Pakistan.
Allah DittaSchool of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
Mohamed Taha YassinDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.

Funding

King Saud University, Riyadh, Saudi Arabia
6 · The paper itself

Abstract

Drought-induced reduction in crop yield is becoming a serious threat worldwide, especially in arid to semiarid regions. The introduction of medicinal plants into cropping patterns in arid regions is a suitable alternative to conventional crops because of their high demand and market value. Keeping in view the situation, an experiment was planned under natural arid conditions to screen out the best psyllium varieties in less time for cultivation in arid regions. The experiment included three psyllium varieties (V1 = Gujrat isabgol-2, V2 = Vallabh isabgol and V3 = Jawahar isabgol-4) and three irrigation regimes (control = CK, partial rootzone drying = PRD and deficit irrigation = DI) and was carried out in a completely randomized design with eight replications. The results of our experiment revealed that although cell stress indicators (electrolyte leakage, relative cell injury, methylglyoxal, malondialdehyde, and hydrogen peroxide contents) were less and photosynthesis, water relationships, and membrane stability were greater in the control irrigation, the activities of enzymatic and nonenzymatic antioxidants were greater in the PRD and DI regimes. Among the water deficit treatments, more water potential, proline contents, ascorbic acid contents, membrane stability index, and yield were recorded in the PRD than in the DI. Among the varieties, V3 performed the best under water deficit conditions, whereas variety V2 presented the lowest values. It was concluded that under less water availability, the combination of the PRD with the variety V3 optimized physiological and yield outcomes by sustained higher relative water contents (77.10%), mesophyll conductance (0.67 mol CO

Indexed as

AntioxidantsPlantagoPlant RootsPsylliumDrought ResistanceDroughtsHydrogen PeroxidePhotosynthesisSignal TransductionWaterAntioxidantsHydrogen PeroxidePsylliumWaterAntioxidantsdroughtmembrane stability indexplant water relationshipswater use efficiency

Identifiers

PMID42438928
PMCPMC13367084

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.