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Septoria and Stagonospora Diseases of Cereals - CIMMYT ...

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Session 5 — C.A. Cordo, M.R. Simón, A.E. Perelló, <strong>and</strong> H.E. Alippi<br />

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Figure 2. Weekly mean rainfall (a), weekly mean temperature (b), <strong>and</strong> weekly mean relative<br />

humidity (c).<br />

related to the end <strong>of</strong> the crop<br />

vegetative period <strong>and</strong> the advent <strong>of</strong><br />

saprophytic pathogens on the<br />

wheat debris. A new increase in<br />

pycnidiospores on 5 March was<br />

related to the first natural infection<br />

<strong>of</strong> seedlings by septoria leaf blotch.<br />

The pycnidiospore pattern in<br />

petroleum jelly was constant from<br />

the first week <strong>of</strong> observation<br />

(Figure 1b). The increased density<br />

was associated with the amount <strong>of</strong><br />

rain water. The correlation<br />

A<br />

27/3/99<br />

B<br />

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C<br />

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coefficient <strong>and</strong> the partial<br />

regression coefficient between<br />

pycnidiospores <strong>and</strong> rainfall were<br />

significant (Table 1), as was the<br />

regression coefficient for rainfall in<br />

the multiple regression model. This<br />

model explained 18% <strong>of</strong> the<br />

variance (Table 2). Temperature <strong>and</strong><br />

humidity during this period were<br />

probably not so high as to affect the<br />

number <strong>of</strong> pycnidiospores released.<br />

Similar to observations by Arseniuk<br />

<strong>and</strong> Góral (1998), we recorded high<br />

Table 1. Correlation coefficients <strong>and</strong> partial<br />

correlation coefficients between number <strong>of</strong><br />

pycnidiospores in rain water <strong>and</strong> petroleum<br />

jelly <strong>and</strong> number <strong>of</strong> ascospores <strong>of</strong> <strong>Septoria</strong><br />

tritici <strong>and</strong> Mycosphaerella graminicola with<br />

weather variables.<br />

Temp- Relative<br />

erature humidity Rainfall<br />

Pycnidiospores/<br />

rain water -0.20 ns a 0.06 ns 0.26 ns<br />

-0.19 ns b 0.04 ns 0.04 ns<br />

Pycnidiospores/<br />

p. jelly 0.12 ns 0.11 ns 0.53**<br />

0.27 ns 0.01 ns 0.46*<br />

Ascospores 0.53** 0.46* 0.57**<br />

0.62** 0.42* 0.60**<br />

a= correlation coefficient.<br />

b= partial correlation coefficient.<br />

Table 2. Multiple regression model <strong>of</strong><br />

weather variables <strong>and</strong> number <strong>of</strong><br />

pycnidiospores in rain water, petroleum jelly,<br />

<strong>and</strong> ascospores <strong>of</strong> <strong>Septoria</strong> tritici <strong>and</strong><br />

Mycosphaerella graminicola.<br />

Significance<br />

Coefficient level<br />

No. <strong>of</strong> pycnidiospores<br />

in water<br />

Constant 9.33<br />

Temperature -0.26 ns<br />

Relative humidity -0.01 ns<br />

Rainfall<br />

No. <strong>of</strong> pycnidiospores<br />

in p. jelly<br />

0.02 ns<br />

Constant 11.31 ns<br />

Temperature 0.20 ns<br />

Relative humidity 0.07 ns<br />

Rainfall<br />

No. <strong>of</strong> ascospores<br />

0.08 P

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