Literature DB >> 15837707

Quantification of the effects of Septoria tritici blotch on wheat leaf gas exchange with respect to lesion age, leaf number, and leaf nitrogen status.

Corinne Robert1, Marie-Odile Bancal, Christian Lannou, Bertrand Ney.   

Abstract

Quantification of the damaging effects of pathogens on diseased plants and inclusion of these damaging functions in crop simulation models is of great importance for a more complete understanding of yield response to diseases. In this study, the effect of Septoria tritici blotch (STB) on net photosynthetic and dark respiration rates of wheat flag leaves was quantified. Bastiaans' model: Y=(1-x)beta was used to characterize the relationship between relative leaf photosynthesis (Y, considering Ynet and Ygross) and STB severity (with x the proportion of the diseased area). The value of beta indicates whether the effect of disease on photosynthesis is larger (beta >1), lower (beta <1), or equal (beta =1) to the proportion of visible diseased area. In the experimental conditions used here, leaf nitrogen content (in a range from 0.18 to 0.24 mg cm(-2)), and leaf number (flag and second leaves) did not significantly influence the effect of STB on leaf gas exchange. By contrast, damage depended strongly on the developmental stages of the STB lesions. STB lesions had no effect on inoculated leaves before visible symptoms appeared. Chlorotic symptoms had less effect on leaf net photosynthetic rate than could be accounted for by the visible diseased area (betanet=0.81). The effect of necrotic lesions on the leaf net photosynthetic capacity was slightly greater than that accounted for by visible symptoms (betanet=1.35). Our results suggest that the effect of the necrotic symptoms on the net photosynthesis expressed by betanet >1 is due to a combination of a decrease in the gross photosynthesis (betagross still >1) and to an increase in the dark respiration rate (betagross<betanet). Finally, it is discussed how the results could improve the prediction of crop loss caused by an STB epidemic in wheat fields.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15837707     DOI: 10.1093/jxb/eri153

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


  4 in total

1.  A modelling framework to simulate foliar fungal epidemics using functional-structural plant models.

Authors:  Guillaume Garin; Christian Fournier; Bruno Andrieu; Vianney Houlès; Corinne Robert; Christophe Pradal
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

2.  Modelling wheat growth and yield losses from late epidemics of foliar diseases using loss of green leaf area per layer and pre-anthesis reserves.

Authors:  Marie-Odile Bancal; Corinne Robert; Bertrand Ney
Journal:  Ann Bot       Date:  2007-08-07       Impact factor: 4.357

3.  Modelling the impacts of pests and diseases on agricultural systems.

Authors:  M Donatelli; R D Magarey; S Bregaglio; L Willocquet; J P M Whish; S Savary
Journal:  Agric Syst       Date:  2017-07       Impact factor: 5.370

4.  Microbial Inoculation for Productivity Improvements and Potential Biological Control in Sugar Beet Crops.

Authors:  Gonzalo Sacristán-Pérez-Minayo; Domingo Javier López-Robles; Carlos Rad; Luis Miranda-Barroso
Journal:  Front Plant Sci       Date:  2020-12-22       Impact factor: 5.753

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.