The effect of component number on <i>Rhynchosporium secalis</i> infection and yield in mixtures of winter barley cultivars

Newton, A. C.; Ellis, R. P.; Hackett, Christine A.; Guy, D. C.

doi:10.1046/j.1365-3059.1997.d01-83.x

Cited by 67 publications

(56 citation statements)

References 23 publications

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“…Futhermore, we confirmed that greater mixture complexity improved mixture efficiency, e.g. three to five components were more efficient for disease reduction and yield increase than two-component mixtures (Gacek et al, 1996;Newton et al, 1997).…”

Section: Discussionsupporting

confidence: 72%

Assessing Four-Way Mixtures of Winter Wheat Cultivars from the Performances of their Two-Way and Individual Components

Mille¹,

Fraj²,

Monod

et al. 2006

Eur J Plant Pathol

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Seven four-way bread wheat mixtures were compared to their components (individual cultivars and two-way mixtures) for septoria tritici blotch severity, grain protein content, and grain yield. Four-way mixtures and two-way mixtures performed better than the average of individual pure line components. Disease severity and protein content were most influenced by mixtures, with mixture efficiencies being greater in the four-way than in the two-way mixtures. Performances of four-way mixtures in terms of diseased leaf area reduction, grain yield, 1000-grain weight, and grain protein content were better predicted by performances of two-way mixtures than by those of pure lines. Our results suggest that two-way mixtures should be screened to remove unfavourable cultivar pairs and those binary mixtures that show complementarity should be selected in order to construct four-way mixtures.

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Section: Discussionsupporting

confidence: 72%

Assessing Four-Way Mixtures of Winter Wheat Cultivars from the Performances of their Two-Way and Individual Components

Mille¹,

Fraj²,

Monod

et al. 2006

Eur J Plant Pathol

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“…In the field, splash-dispersed pathogens often provide smaller host-diversity effects than do wind-dispersed pathogens (1,12,25,31,37,44,46,52,53), most likely due to the steeper dispersal gradients of splash-dispersed pathogens (19). Wind-dispersed pathogens may produce a large host-diversity effect for reduced disease because propagules tend to be more evenly mixed throughout host plants.…”

Section: Autoinfectionmentioning

confidence: 99%

Epidemiology in Mixed Host Populations

Garrett¹,

Mundt²

1999

Phytopathology®

262

213

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Garrett, K. A., and Mundt, C. C. 1999. Epidemiology in mixed host populations. Phytopathology 89:984-990.Although plant disease epidemiology has focused on populations in which all host plants have the same genotype, mixtures of host genotypes are more typical of natural populations and offer promising options for deployment of resistance genes in agriculture. In this review, we discuss Leonard's classic model of the effects of host genotype diversity on disease and its predictions of disease level based on the proportion of susceptible host tissue. As a refinement to Leonard's model, the spatial structure of host and pathogen population can be taken into account by considering factors such as autoinfection, interaction between host size and pathogen dispersal gradients, lesion expansion, and host carrying capacity for disease. The genetic composition of the host population also can be taken into account by considering differences in race-specific resistance among host genotypes, compensation, plant competition, and competitive interactions among pathogen genotypes. The magnitude of hostdiversity effects for particular host-pathogen systems can be predicted by considering how the inherent characteristics of a system causes it to differ from the assumptions of the classic model. Because of the limited number of studies comparing host-diversity effects in different systems, it is difficult at this point to make more than qualitative predictions. Environmental conditions and management decisions also influence hostdiversity effects on disease through their effect on factors such as host density and epidemic length and intensity.

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“…In a two-component mixture in wheat, Jackson and Wennig 9 noted the taller of the two cultivars to contribute a greater proportion of heads. Mixtures, particularly as component number increases, generally yield higher that the component mean, even in the absence of disease 12 . However, if the most competitive component is not high yielding, the mixture performance will be adversely affected.…”

Section: Although Smith and Simpsonmentioning

confidence: 99%

Barleys Grown as Cultivar Mixtures Compared with Blends Made Before and After Malting, for Effects on Malting Performance

Swanston¹,

Newton²,

Hoad

et al. 2005

Journal of the Institute of Brewing

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J. Inst. Brew. 111(2), 144-152, 2005Four barley cultivars were grown in replicated trials at three sites in Scotland in 2000, both as pure stands and in all four possible three-component mixtures. After harvest, some grain from the pure stands was used to synthesise four blends of three component varieties. Grain from the pure stands, the mixtures and the blends was malted and all samples were assessed for total ␤-glucan content. At two of the sites, field grown mixtures were shown to have lower malt ␤-glucan than blends made prior to malting, although their grain ␤-glucan contents had not been significantly different from the means of the component varieties. At the other site, the mixtures had higher levels of soluble nitrogen than the blends or the means of their component cultivars although, significant differences had not occurred in grain nitrogen contents. Three component blends were also made from the malted grain of the pure stands and hot water extracts were measured on all samples including the blends made before and after malting. There were considerable differences between sites and also between mixtures, blends and the mean of the mixture components when assessed separately. At all sites and for all varietal combinations, field grown mixtures were shown to be equal or superior to blends made after harvesting, in addition to frequently exceeding the mean of their components. It was concluded that the advantages, in ␤-glucan or protein modification, associated with mixtures resulted from interactions between components in the growing environment and that interactions in the malting and mashing environments had little if any effect.

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The effect of component number on Rhynchosporium secalis infection and yield in mixtures of winter barley cultivars

Cited by 67 publications

References 23 publications

Assessing Four-Way Mixtures of Winter Wheat Cultivars from the Performances of their Two-Way and Individual Components

Assessing Four-Way Mixtures of Winter Wheat Cultivars from the Performances of their Two-Way and Individual Components

Epidemiology in Mixed Host Populations

Barleys Grown as Cultivar Mixtures Compared with Blends Made Before and After Malting, for Effects on Malting Performance

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