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Impact of partial resistance in mango to Xanthomonas sp. pv. Mangiferaeindicae on temporal and spatial development of bacterial black spot disease

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Résumé Communication Congrès – O. PRUVOST, AMIS_PVBMT

IN : 9th International Workshop on Plant Disease Epidemiology - Landerneau, France - 2005/04/ 11-15 - Facing 21st Century Challenges

IMPACT OF PARTIAL RESISTANCE IN MANGO TO XANTHOMONAS SP. PV.

MANGIFERAEINDICAE ON THE TEMPORAL AND SPATIAL DEVELOPMENT OF BACTERIAL

BLACK SPOT DISEASE

Pruvost, O. (1), Glories, V. (1), Chiroleu, F. and Gagnevin, L. (1)

UMR PVBMT CIRAD-Université de la Réunion, 97410 Saint Pierre, Réunion, France Background and objectives

Mango Bacterial Black Spot (MBBS) is a potentially destructive disease in many tropical and subtropical areas of Asia, Eastern Africa and Oceania (2). Control is attempted through IPM techniques mainly consisting of prophylactic measures and copper sprays. A limited number of mango cultivars with desirable agronomic traits are partially resistant to Xanthomonas sp. pv.

mangiferaeindicae (Xm), the causal agent of MBBS. No quantitative epidemiology data is available

on this pathosystem. Our objectives were to (i) describe the temporal and spatial development of MBBS in an area conducive to epidemics and (ii) evaluate the impact of partial resistance on disease development.

Materials and methods

Experimental design consisted of one plot (approx. 250 trees) of cultivar Haden (highly

susceptible) and one of cv. Heidi (partially resistant) (1), and was monitored for 2.5 years after establishment. A first set of plots was established in Oct. 1998 in Saint Pierre (Réunion Island) CIRAD experimental station and a second set was established in December 2001. Disease incidence and severity were determined. Temporal analyses were performed by nonlinear regression analysis. Logistic, Gompertz and probit link function models were used. Akaike

information criterion was used to retain the most appropriate model. We compared the experiments through the model parameters using likelihood ratio test. Spatial autocorrelation analyses were performed to explore spatial data structure (3).

Results and discussion

All trees remained disease-free until the occurrence of a tropical storm. Disease incidence

exceeded 0.95 in all plots. Gompertz was the most appropriate model for describing the temporal increase of incidence. Rates of disease increase (rG) were not statistically different on the

susceptible and partially resistant cvs. However, disease severity on the susceptible cv. was up to 100 times higher. Furthermore, lab experiments indicated that Xm population sizes in one month-old lesions on the partially resistant cv. were approx. 100 times less than on the susceptible cv. No aggregation was detected early in the epidemics. Aggregated patterns were detected after 5-7 months and 17-20 months on the susceptible and partially resistant cv., respectively. In contrast with the susceptible cv., the size of core clusters for the plots established with the partially resistant cv. did not increase over time. No directionality of spatial patterns was observed on the susceptible cv.

Analyses based on Xm in planta growth and spatial MBBS patterns could be helpful for evaluating partial resistance to Xm in promising material from breeding programs.

References

1.Du Plooy, C. P. 1991. Mango breeding and selection for South Africa. CSFRI Inf. Bull. 221:3-4.

2.Gagnevin, L., and Pruvost, O. 2001. Epidemiology and control of mango bacterial black spot. Plant Dis. 85:928-935.

3.Gottwald, T. R., Richie, S. M., and Campbell, C. L. 1992. LCOR2 - Spatial correlation analysis software for the personal computer. Plant Dis. 76:213-215.

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