Monitoring cotton water status with microtensiometers

Author:

Christenson Clay G.ORCID,Gohardoust Mohammad R.ORCID,Calleja SebastianORCID,Thorp Kelly R.ORCID,Tuller MarkusORCID,Pauli DukeORCID

Abstract

AbstractStem water potential (Ψstem) is a key indicator for assessing plant water status, which is crucial in understanding plant health and productivity. However, existing measurement methods for Ψstem, characterized by destructiveness and intermittency, limit its applicability. Microtensiometers, an emerging plant-based sensor, offer continuous monitoring capabilities and have shown success in certain vine and tree species. In this study, we investigate the efficacy of microtensiometers ability to monitor the Ψstem of cotton (Gossypium hirsutum L.) under three distinct irrigation treatments in Maricopa, Arizona, an extremely hot, arid environment. We analyze the diurnal dynamics of Ψstem across the irrigation regimes and compare these measurements with midday leaf water potentials (Ψleaf) obtained using a dewpoint potentiometer. Our results demonstrate that the microtensiometer-derived Ψstem closely follows known diurnal patterns of Ψleaf, tracking with vapor pressure deficit (VPD) and responding to variations in irrigation levels and soil moisture content. Time cross-correlation analysis reveals an 80-minute lag in Ψstem response to changing VPD under non-water limiting conditions, which shortens under water-limiting conditions. Additionally, we establish a robust linear relationship (R2adj = 0.82) between Ψstem and Ψleaf, with this relationship strengthening as water availability decreases. Notably, we observe mean gradients of 1.2 and 0.06 MPa between soil vs. stem and stem vs. leaf water potentials, respectively. Moreover, Ψstem data proves to be more sensitive in distinguishing between irrigation treatments earlier in the growing season compared to Ψleaf, leaf temperature and leaf gas exchange parameters. These findings highlight the utility of microtensiometers as valuable tools for monitoring water status in smaller-stemmed row crops such as cotton.

Funder

NSF-PGRP

NSF-DBI

USDA-NIFA

USDA-ARS

Cotton Incorporated

Publisher

Springer Science and Business Media LLC

Reference81 articles.

1. Ahmed MA, Passioura J, Carminati A (2018) Hydraulic processes in roots and the rhizosphere pertinent to increasing yield of water-limited grain crops: a critical review. J Experimental Bot (Vol 69. https://doi.org/10.1093/jxb/ery183

2. Allen RG, Pereira L, Raes S, Smith M (1987) Crop Evapotranspiration: Guidelines for computing crop water requirement. FAO Irrigation and drainage paper 56. Rome, Italy: Food and Agriculture Organization of the United Nation ISBN 978-92-5-104219-9. In Irrigation and Drainage FAO, Rome

3. Améglio T, Archer P, Cohen M, Valancogne C, Daudet FA, Dayau S, Cruiziat P (1999) Significance and limits in the use of predawn leaf water potential for tree irrigation. Plant Soil 207(2). https://doi.org/10.1023/A:1026415302759

4. Beaudette D, Skovlin J, Roecker S, Brown A (2023) soilDB: Soil Database Interface. R package version 2.7.8. https://CRAN.R-project.org/package=soilDB

5. Black WL, Santiago M, Zhu S, Stroock AD (2020) Ex situ and in situ measurement of Water Activity with a MEMS tensiometer. Anal Chem 92(1). https://doi.org/10.1021/acs.analchem.9b02647

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3