期刊
AGRICULTURAL WATER MANAGEMENT
卷 122, 期 -, 页码 1-6出版社
ELSEVIER
DOI: 10.1016/j.agwat.2013.02.005
关键词
Infrared canopy temperature; Regulated deficit irrigation; Sap flow; Stem water potential; Stomatal conductance
资金
- RIDECO-CONSOLIDER project [CSD2006-00067]
- Telerieg Interreg IV Sudoe project
- FPI-INIA-CCAA
- Spanish Ministry of Economy and Competitiveness (MINECO) program Ramon y Cajal
Alternative and more practical methods for plant water stress detection than stem water potential (psi(s)) and stomatal conductance (g(s)) are needed when regulated deficit irrigation (RDI) strategies are applied. The aim of this experiment was to compare sap flow and canopy temperature (T-c) measurements with more classical methods like psi(s) or g(s) to predict the effect of deficit irrigation on fresh fruit weight in citrus trees. The experiment was performed during the summer of 2011 in a Clementina de Nules orchard undergoing RDI. Sap flow was determined by means of the compensation heat pulse method in well-watered and RDI trees. T-c was measured continuously with infrared thermometers (IRTs) mounted over the canopies and also weekly with an infrared hand-operated thermographic camera taking frontal images of the sunlit side of tree crowns. Concurrently psi(s) and g(s) were also measured on all trees. Results showed that the evolution of the relative transpiration obtained with the sap flow sensors was in agreement with the plant water stress experienced. The values of T-c obtained with the fixed IRTs, normalized by air temperature (T-c - T-a) were in general poorly related with psi(s) and g(s). However, when T-c was obtained from thermal imaging, there was a good correlation with psi(s) in days of relatively high water stress (i.e. when psi(s) differences among treatments were >1.0 MPa). The average fruit weight at harvest was significantly correlated with all the stress indicators, and the best correlation was that of thermographic followed by psi(s) and g(s). Overall, results showed that in citrus trees T-c measurement obtained from thermal imaging is a good tool to predict the effect of water deficit on fresh fruit weight. (c) 2013 Elsevier B.V. All rights reserved.
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