Literature DB >> 15286143

Irrigation scheduling: advantages and pitfalls of plant-based methods.

Hamlyn G Jones1.   

Abstract

This paper reviews the various methods available for irrigation scheduling, contrasting traditional water-balance and soil moisture-based approaches with those based on sensing of the plant response to water deficits. The main plant-based methods for irrigation scheduling, including those based on direct or indirect measurement of plant water status and those based on plant physiological responses to drought, are outlined and evaluated. Specific plant-based methods include the use of dendrometry, fruit gauges, and other tissue water content sensors, while measurements of growth, sap flow, and stomatal conductance are also outlined. Recent advances, especially in the use of infrared thermometry and thermography for the study of stomatal conductance changes, are highlighted. The relative suitabilities of different approaches for specific crop and climatic situations are discussed, with the aim of indicating the strengths and weaknesses of different approaches, and highlighting their suitability over different spatial and temporal scales. The potential of soil- and plant-based systems for automated irrigation control using various scheduling techniques is also discussed.

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Year:  2004        PMID: 15286143     DOI: 10.1093/jxb/erh213

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  31 in total

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4.  Real-Time Assessment of Mandarin Crop Water Stress Index.

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Journal:  Sensors (Basel)       Date:  2022-05-26       Impact factor: 3.847

5.  Understanding the effect of carbon status on stem diameter variations.

Authors:  Tom De Swaef; Steven M Driever; Lieven Van Meulebroek; Lynn Vanhaecke; Leo F M Marcelis; Kathy Steppe
Journal:  Ann Bot       Date:  2012-11-27       Impact factor: 4.357

Review 6.  Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops.

Authors:  Reyazul Rouf Mir; Mainassara Zaman-Allah; Nese Sreenivasulu; Richard Trethowan; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2012-06-14       Impact factor: 5.699

7.  Root zone sensors for irrigation management in intensive agriculture.

Authors:  Alberto Pardossi; Luca Incrocci; Giorgio Incrocci; Fernando Malorgio; Piero Battista; Laura Bacci; Bernardo Rapi; Paolo Marzialetti; Jochen Hemming; Jos Balendonck
Journal:  Sensors (Basel)       Date:  2009-04-21       Impact factor: 3.576

8.  Infra-red thermography for high throughput field phenotyping in Solanum tuberosum.

Authors:  Ankush Prashar; Jane Yildiz; James W McNicol; Glenn J Bryan; Hamlyn G Jones
Journal:  PLoS One       Date:  2013-06-07       Impact factor: 3.240

9.  A novel, non-invasive, online-monitoring, versatile and easy plant-based probe for measuring leaf water status.

Authors:  D Zimmermann; R Reuss; M Westhoff; P Gessner; W Bauer; E Bamberg; F-W Bentrup; U Zimmermann
Journal:  J Exp Bot       Date:  2008       Impact factor: 6.992

10.  Accounting for sap flow from different parts of the root system improves the prediction of xylem ABA concentration in plants grown with heterogeneous soil moisture.

Authors:  Ian C Dodd; Gregorio Egea; William J Davies
Journal:  J Exp Bot       Date:  2008-10-21       Impact factor: 6.992

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