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Cultivar Mixtures


Effect of cultivar mixtures on epidemic development

The development of a plant disease epidemic is a function of the initial inoculum, the rate of disease development and the duration of crop growth (see APSnet Epidemiology topic). Cultivar mixtures affect the epidemic factors as follows:

a) The initial inoculum level can be reduced. Compared to a pure-line susceptible population, the initial inoculum is lowered when a given race or strain is not completely virulent on all genotypes in the mixture.

b) The rate of secondary infection can be reduced. As the proportion of susceptible tissue available for a given race of the pathogen is lowered, the number of new, secondary infections by this race is reduced, which results in a decrease in the observed ‘apparent infection rate.’

Leonard’s (1969) classic formula describes this second effect based on a single pathogen genotype in a simple mixture of one susceptible and one immune plant genotype:

X'/X0 = mn . X/X0

X = Proportion of infected tissue in a population composed only of the susceptible genotype

X'= Proportion of infected host tissue for the susceptible genotype in the mixture

X0= Proportion of host tissue initially infected

m = Proportion of susceptible plants in the mixture

n = Number of generations of successful infection and reproduction by the pathogen

Although this formula is a simplification of reality (for example, it doesn’t consider the spatial configuration of host genotypes and the pattern of inoculum dispersal), it summarizes the ‘mixture effect’ as a function of m and n. It predicts that the disease suppressing effects of the mixture will increase linearly with an increasing proportion of resistant plants (lower m) but exponentially with more cycles of pathogen infection and reproduction (higher n). Thus, mixtures are most effective against pathogens with polycylic disease cycles (see APSnet Epidemiology topic).

Empirical results in maize (see figure below) show that mixtures of resistant and susceptible genotypes slow the rate of increase of common maize rust (measured as the cumulative number of pustules per susceptible plant) compared with pure stands of susceptible genotypes. The table at the bottom of this page shows other examples of cultivar mixtures in which some degree of disease suppression was achieved.

Cumulative numbers of common maize rust pustules on susceptible plants in pure stands and in mixtures of 25% susceptible and 75% resistant plants (adapted from Mundt and Leonard, 1986).  Click image for an enlarged view. 

 

Examples of degree of disease suppression achieved through the use of cultivar mixtures.

Plant

Pathogen

Reference

Trait

Disease reduction

Maize

Rust

Mundt and Leonard, 1986

Pustules/plant

50%

Snap beans

Bean rust

Mundt and Leonard, 1986

AUDPC

30-60%

Wheat

Stripe rust

Mundt, 1994

Severity

14-64%

Wheat

Leaf rust

Mundt, 1994

Severity

45%

Barley

Scald

Mundt et al., 1994

Severity

12%

Barley

Scald

Newton et al., 1997

Severity

11-50%

Barley

Powdery mildew

Newton et al., 1997

Severity

0-20%

         
Rust, caused by Uromyces appendiculatus, on the upper leaf surface of a bean leaf. (Courtesy R. Hall) Click image for an enlarged view.
Uredinia of the common rust pathogen, Puccinia sorghi, on corn. (Courtesy C. De Leon) Click image for an enlarged view.
Typical leaf symptoms of barley scald. (Courtesy L. Jackson) Click image for an enlarged view.
Cottony mycelial growth with dark, spherical cleistothecia of Blumeria graminis, the powdery mildew fungus, on barley. (Courtesy D. Mathre) Click image for an enlarged view.

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Contents

Introduction


What is a cultivar mixture?

Mechanisms by which cultivar mixtures suppress disease

Effect of cultivar mixtures on epidemic development

Effect of Cultivar mixtures on the evolution of pathogen races or pathotypes

 Crops and diseases suited to cultivar mixtures

 Use of cultivar mixtures to manage multiple diseases

How many cultivars make a good mixture?

Reported successes with cultivar mixtures

Agronomic considerations

References

 


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