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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Nondestructive determination of nitrogen and chlorophyll content in olive tree leaves and the relation with photosynthesis and fluorescence parameters
Photosynthetica, Volume 49, No. 1, Year 2011
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Description
For Tunisian olive tree orchards, nitrogen deficiency is an important nutritional problem, in addition to the availability of water. Establishment of relationships between nutrients such as nitrogen and ecophysiological parameters is a promising method to manage fertilisation at orchard level. Therefore, a nitrogen stress experiment with one-year-old olive trees (Olea europaea L. 'Koroneiki' and 'Meski') was conducted with trees respectively subjected to four nitrogen supply regimes (23.96 meq l-1, 9.58 meq l-1, 4.79 meq l-1 and 0 meq l-1 NO3-1). The current paper focuses on the use of the SPAD-502 portable chlorophyll (Chl) meter, a nondestructive method for fertilisation management under nitrogen stress conditions of olive trees. Maximum net photosynthetic assimilation rates, chlorophyll fluorescence parameters and the SPAD Chl index were therefore measured simultaneously and the Chl and nitrogen content of the leaves were analysed. Significant correlations were established in the olive tree leaves between SPAD-502 readings on the one hand and Chl content, nitrogen content, photosynthetic assimilation rate, and Chl fluorescence parameters (ΦPSII and ETR) on the other hand. © 2011 Springer Science+Business Media B.V.
Authors & Co-Authors
Boussadia, Olfa
Tunisia, Sousse
Institute of the Olive Tree Station of Sousse
Steppe, Kathy
Belgium, Ghent
Universiteit Gent
Zgallaï, Hatem
Belgium, Brussels
Bayer S.a.-n.v., Belgium
El Hadj, Salem Ben
Tunisia, Tunis
University of Carthage, Institut National Agronomique de Tunisie
Braham, Mohamed
Tunisia, Sousse
Institute of the Olive Tree Station of Sousse
Lemeur, Raoul
Belgium, Ghent
Universiteit Gent
van Labeke, Marie Christine
Belgium, Ghent
Universiteit Gent
Statistics
Citations: 7
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1007/s11099-011-0019-x
ISSN:
03003604
Research Areas
Environmental
Study Approach
Quantitative