Wheat Leaf Photosynthesis Loss Due to Leaf Rust, with Respect to Lesion Development and Leaf Nitrogen Status

• In wheat (Triticum aestivum cv. Soissons) plants grown under three different fertilisation treatments, we quantified the effect of leaf rust (Puccinia triticina) on flag leaf photosynthesis during the whole sporulation period. • Bastiaans' model: Y = (1-x)<sup>β</sup> was used to...

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Veröffentlicht in:New Phytologist. - New Phytologist Trust. - 165(2005), 1, Seite 227-241
1. Verfasser: Robert, Corinne (VerfasserIn)
Weitere Verfasser: Bancal, Marie-Odile, Ney, Bertrand, Lannou, Christian
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:New Phytologist
Schlagworte:Leaf rust (Puccinia triticina) Leaf photosynthesis Lesion development Leaf nitrogen (N) Damages Modelling Quantitative analysis Health sciences Biological sciences Physical sciences
Beschreibung
Zusammenfassung:• In wheat (Triticum aestivum cv. Soissons) plants grown under three different fertilisation treatments, we quantified the effect of leaf rust (Puccinia triticina) on flag leaf photosynthesis during the whole sporulation period. • Bastiaans' model: Y = (1-x)<sup>β</sup> was used to characterize the relationship between relative leaf photosynthesis (Y) and disease severity (x). The evolution of the different types of symptoms induced by the pathogen (sporulating, chlorotic and necrosed tissues) was evaluated using image analysis. • The β-values varied from 2 to 11, 1.4-2, and 0.8-1 during the sporulation period, when considering the proportion of sporulating, sporulating + necrotic, and total diseased area, respectively. Leaf nitrogen (N) content did not change the effect of the disease on host photosynthesis. • We concluded that leaf rust has no global effect on the photosynthesis of the symptomless parts of the leaves and that the large range in the quantification of leaf rust effect on the host, which is found in the literature, can be accounted for by considering the different symptom types. We discuss how our results could improve disease assessments and damage prediction in a wheat crop.
ISSN:14698137