Assessing Water Stress Dynamics in Kenaf ( <scp> <i>Hibiscus cannabinus</i> </scp> L.) Through the Crop Water Stress Index and Physiological Parameters

ABSTRACT The effect of water stress in kenaf was studied using the Crop Water Stress Index (CWSI). Relationships of the CWSI with various physiological parameters under different irrigation levels were determined. Field trials were conducted over 2 years under sub‐humid climate conditions using a randomised block design with four irrigation treatments on the basis of soil water depletion. Physiological measurements including leaf water potential (LWP), chlorophyll reading (CR), leaf area index (LAI), net photosynthesis rate (A) and stomatal conductance (gs) were recorded throughout the growing seasons. Results showed significant variations in CWSI values among irrigation treatments, with a recommended threshold of 0.15 for optimal irrigation timing. Irrigation significantly affected LWP, CR, LAI, A and gs in each year, at the p &lt; 0.01 level. Correlation analyses revealed strong relationships between CWSI and physiological parameters, indicating its potential to predict changes in plant physiology and dry matter yield of kenaf under water stress conditions. The study highlights the importance of optimising irrigation on the basis of CWSI to enhance crop resilience and productivity. By leveraging CWSI as a predictive tool, farmers can make informed decisions regarding crop physiology, irrigation timing and water management strategies to mitigate water stress and improve kenaf yield in a sustainable manner.

Authors

Institutions

Publication Details

Journal
Journal of Agronomy and Crop Science
Published
2025-08-11
DOI
https://doi.org/10.1111/jac.70112
Primary Topic
Hibiscus Plant Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Water Stress Dynamics in Kenaf ( Hibiscus cannabinus L.) Through the Crop Water Stress Index and Physiological Parameters

Ali Kaan Yetik, Ali Osman Demır, Hakan Büyükcangaz, Mehmet Sincik et al.
Journal of Agronomy and Crop Science
Hibiscus Plant Research Studies
article

Assessing Water Stress Dynamics in Kenaf ( Hibiscus cannabinus L.) Through the Crop Water Stress Index and Physiological Parameters

Ali Kaan Yetik, Ali Osman Demır, Hakan Büyükcangaz, Mehmet Sincik, Burak Nazmi Candoğan
article en

Abstract

ABSTRACT The effect of water stress in kenaf was studied using the Crop Water Stress Index (CWSI). Relationships of the CWSI with various physiological parameters under different irrigation levels were determined. Field trials were conducted over 2 years under sub‐humid climate conditions using a randomised block design with four irrigation treatments on the basis of soil water depletion. Physiological measurements including leaf water potential (LWP), chlorophyll reading (CR), leaf area index (LAI), net photosynthesis rate (A) and stomatal conductance (gs) were recorded throughout the growing seasons. Results showed significant variations in CWSI values among irrigation treatments, with a recommended threshold of 0.15 for optimal irrigation timing. Irrigation significantly affected LWP, CR, LAI, A and gs in each year, at the p &lt; 0.01 level. Correlation analyses revealed strong relationships between CWSI and physiological parameters, indicating its potential to predict changes in plant physiology and dry matter yield of kenaf under water stress conditions. The study highlights the importance of optimising irrigation on the basis of CWSI to enhance crop resilience and productivity. By leveraging CWSI as a predictive tool, farmers can make informed decisions regarding crop physiology, irrigation timing and water management strategies to mitigate water stress and improve kenaf yield in a sustainable manner.

Journal of Agronomy and Crop ScienceVol. 211(5)
Bursa Uludağ Üni̇versi̇tesi̇ (TR), Niğde Ömer Halisdemir Üniversitesi (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 73%
Hibiscus Plant Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.