Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors
A comprehensive characterization of water stress is needed for the development of automated irrigation protocols aiming to increase olive orchard environmental and economical sustainability. The main aim of this study is to determine whether a combination of continuous leaf turgor, fruit growth, and...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/10/1/131 |
| _version_ | 1797413371289534464 |
|---|---|
| author | Giulia Marino Alessio Scalisi Paula Guzmán-Delgado Tiziano Caruso Francesco Paolo Marra Riccardo Lo Bianco |
| author_facet | Giulia Marino Alessio Scalisi Paula Guzmán-Delgado Tiziano Caruso Francesco Paolo Marra Riccardo Lo Bianco |
| author_sort | Giulia Marino |
| collection | DOAJ |
| description | A comprehensive characterization of water stress is needed for the development of automated irrigation protocols aiming to increase olive orchard environmental and economical sustainability. The main aim of this study is to determine whether a combination of continuous leaf turgor, fruit growth, and sap flow responses improves the detection of mild water stress in two olive cultivars characterized by different responses to water stress. The sensitivity of the tested indicators to mild stress depended on the main mechanisms that each cultivar uses to cope with water deficit. One cultivar showed pronounced day to day changes in leaf turgor and fruit relative growth rate in response to water withholding. The other cultivar reduced daily sap flows and showed a pronounced tendency to reach very low values of leaf turgor. Based on these responses, the sensitivity of the selected indicators is discussed in relation to drought response mechanisms, such as stomatal closure, osmotic adjustment, and tissue elasticity. The analysis of the daily dynamics of the monitored parameters highlights the limitation of using non-continuous measurements in drought stress studies, suggesting that the time of the day when data is collected has a great influence on the results and consequent interpretations, particularly when different genotypes are compared. Overall, the results highlight the need to tailor plant-based water management protocols on genotype-specific physiological responses to water deficit and encourage the use of combinations of plant-based continuously monitoring sensors to establish a solid base for irrigation management. |
| first_indexed | 2024-03-09T05:16:43Z |
| format | Article |
| id | doaj.art-245a06b0508d4e75a16cc6594d659333 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T05:16:43Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-245a06b0508d4e75a16cc6594d6593332023-12-03T12:44:40ZengMDPI AGPlants2223-77472021-01-0110113110.3390/plants10010131Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous SensorsGiulia Marino0Alessio Scalisi1Paula Guzmán-Delgado2Tiziano Caruso3Francesco Paolo Marra4Riccardo Lo Bianco5Department of Plant Sciences, University of California, Davis, CA 95616, USADepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90133 Palermo, ItalyDepartment of Plant Sciences, University of California, Davis, CA 95616, USADepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90133 Palermo, ItalyDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90133 Palermo, ItalyDepartment of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, 90133 Palermo, ItalyA comprehensive characterization of water stress is needed for the development of automated irrigation protocols aiming to increase olive orchard environmental and economical sustainability. The main aim of this study is to determine whether a combination of continuous leaf turgor, fruit growth, and sap flow responses improves the detection of mild water stress in two olive cultivars characterized by different responses to water stress. The sensitivity of the tested indicators to mild stress depended on the main mechanisms that each cultivar uses to cope with water deficit. One cultivar showed pronounced day to day changes in leaf turgor and fruit relative growth rate in response to water withholding. The other cultivar reduced daily sap flows and showed a pronounced tendency to reach very low values of leaf turgor. Based on these responses, the sensitivity of the selected indicators is discussed in relation to drought response mechanisms, such as stomatal closure, osmotic adjustment, and tissue elasticity. The analysis of the daily dynamics of the monitored parameters highlights the limitation of using non-continuous measurements in drought stress studies, suggesting that the time of the day when data is collected has a great influence on the results and consequent interpretations, particularly when different genotypes are compared. Overall, the results highlight the need to tailor plant-based water management protocols on genotype-specific physiological responses to water deficit and encourage the use of combinations of plant-based continuously monitoring sensors to establish a solid base for irrigation management.https://www.mdpi.com/2223-7747/10/1/131fruit gauge<i>Olea europaea</i> L.precise water managementstem water potentialturgor pressurewater relations |
| spellingShingle | Giulia Marino Alessio Scalisi Paula Guzmán-Delgado Tiziano Caruso Francesco Paolo Marra Riccardo Lo Bianco Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors Plants fruit gauge <i>Olea europaea</i> L. precise water management stem water potential turgor pressure water relations |
| title | Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors |
| title_full | Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors |
| title_fullStr | Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors |
| title_full_unstemmed | Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors |
| title_short | Detecting Mild Water Stress in Olive with Multiple Plant-Based Continuous Sensors |
| title_sort | detecting mild water stress in olive with multiple plant based continuous sensors |
| topic | fruit gauge <i>Olea europaea</i> L. precise water management stem water potential turgor pressure water relations |
| url | https://www.mdpi.com/2223-7747/10/1/131 |
| work_keys_str_mv | AT giuliamarino detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors AT alessioscalisi detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors AT paulaguzmandelgado detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors AT tizianocaruso detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors AT francescopaolomarra detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors AT riccardolobianco detectingmildwaterstressinolivewithmultipleplantbasedcontinuoussensors |