Measurement and modelling of Moringa transpiration for improved irrigation management
Ambroise Ndayakunze,
Joachim Martin Steyn,
Christian Phillipus du Plooy and
Nadia Alcina Araya
Agricultural Water Management, 2024, vol. 305, issue C
Abstract:
A greater understanding of Moringa (Moringa oleifera Lam.) transpiration (T) can assist in the development of accurate irrigation management tools. This study aimed at quantifying Moringa T by measuring and modelling the sap flow (SF) of intact stems using an improved heat balance technique. The study was conducted during two consecutive seasons (2021–2022 (Season 1) and 2022–2023 (Season 2)) at the Roodeplaat Experimental Farm of the Agricultural Research Council in South Africa. EXO-Skin sap flow sensors were used. Transpiration-related drivers such as weather and plant physiological parameters were measured simultaneously. The measured SF data in Seasons 1 and 2 were used to respectively parameterize and validate a canopy conductance T model. There was a positive correlation between the measured SF and its drivers, evidenced through coefficients of determination (R2) of 0.82, 0.99 and 0.92 for the relationships between SF and short-grass reference evapotranspiration (ETo), stem area and stomatal conductance, respectively. The measured and simulated SF varied from 0.82–1.29 and 0.71–1.19 mm tree−1 day−1 (model parameterization), as well as from 0.77–3.54 and 1.10–3.10 mm tree−1 day−1 (model validation). Despite the slight discrepancies between measured and predicted SF values during model performance evaluation, an acceptable agreement was achieved through root mean square errors (RMSEs) of 0.32 and 0.37 mm day−1 and model efficiencies (Efs) of 0.93 and 0.88, for model parameterization and validation, respectively. The current study showed that the canopy conductance T model has the potential to accurately predict Moringa T and contribute to optimizing irrigation water management.
Keywords: Canopy conductance; EXO-Skin sensors; Plant-based water monitoring; Sap flow; Stem heat balance (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377424004633
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:305:y:2024:i:c:s0378377424004633
DOI: 10.1016/j.agwat.2024.109127
Access Statistics for this article
Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns
More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().