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  • 1
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Phytopathology 18 (1980), S. 237-258 
    ISSN: 0066-4286
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Biology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Annals of the New York Academy of Sciences 287 (1977), S. 0 
    ISSN: 1749-6632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Natural Sciences in General
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 63 (1982), S. 183-192 
    ISSN: 1432-2242
    Keywords: Horizontal resistance ; General resistance ; Vertical resistance ; Specific resistance ; Stability analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Experiments in which a series of host cultivars are inoculated in all combinations with a series of pathogen isolates have been used to detect specificity in the host resistance. A theoretical model of polygenic resistance involving both general and specific interactions with pathogen virulence was developed to test the abilities of statistical analyses to discriminate between host genotypes with different levels of general and specific resistance. Estimates of levels of specific resistance could be obtained in regressions of disease severity scores for each host cultivar X pathogen isolate combination vs. the virulence index of each isolate. If the virulence index was based on the mean disease severity induced by the isolate over all host cultivars, the slopes of the regression lines were correlated with the levels of specific resistance in host cultivars. If the virulence index was based on the disease severity induced by the isolate on a host cultivar with a minimum of specific resistance, the mean squares for deviations from the regression were correlated with the levels of specific resistance in host cultivars. A method was developed to consistently choose host cultivars with minimum specific resistance. The two regression analyses gave estimates of specificity in randomly generated, model genotypes of approximately equal accuracy, although the second method appeared to be more accurate when the numbers of loci controlling resistance and virulence were small. The best estimates of numbers of genes for specific resistance were obtained by calculating a rating based on mean disease severity, the mean square for deviation from the regression on the virulence index based on disease severity on the cultivar with minimum specific resistance and the slope of the regression on the virulence index based on the mean disease severity. The best estimates of proportions of resistance genes that were specific were obtained by calculating a rating based on the above deviation mean square and slope alone.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 67 (1984), S. 219-230 
    ISSN: 1432-2242
    Keywords: Components of resistance ; Quantitative resistance ; Epidemiology ; Cereal rusts ; Sporulation patterns
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A model developed by R.C. Lewontin relating rate of population increase to key parameters of the organism's fecundity curve is described and adapted for use with plant pathogenic fungi. For diseases such as cereal rusts, rice blast, and powdery mildew and downy mildew of cucumber, the sporulation curves for the pathogens have been shown to follow an approximately triangular pattern. In the Lewontin model the key features of the pattern are: A, the time from inoculation to first sporulation (i.e. latent period); T, the time of peak spore production per day; W, the time at which sporulation ceases; and S, the area of the triangle (total reproduction per generation). For exponential increase, the values of A, T, W, and S are related to r 1, the rate of population increase, according to the following equation: $$\begin{gathered} \gamma ^2 (W - A)/2S = [(e^{ - rA} - e^{ - rT} )/(T - A)] \hfill \\ {\text{ + }}[(e^{ - rW} - e^{ - rT} )/(W - T)] \hfill \\ \end{gathered} $$ This equation was used to generate families of curves showing effects on r 1 of changes in the position of the triangle (altering latent period) or area (altering reproduction per generation). Data for barley leaf rust, oat crown rust, wheat leaf rust, wheat stem rust, rice blast, cucumber downy mildew, and cucumber powdery mildew were analyzed according to the model to show the effects of different components of resistance on r 1 for each disease. Predictions from the model for barley leaf rust were compared with published data for components of resistance and rates of disease increase for eight barley cultivars. For cultivars of similar crop canopy type (two cultivars sparse; six cultivars, dense canopies), the predicted r 1 values closely corresponded to observed values. Applications of the model to cultivar mixtures and to integrated control (involving protectant fungicides in combination with quantitative resistance) are also discussed.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 69 (1985), S. 503-513 
    ISSN: 1432-2242
    Keywords: Statistical analyses ; Specific resistance ; Host-pathogen system
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The reliability of analyses of variance for evaluating host cultivar x pathogen isolate specificity in resistance controlled by polygenes with additive effects was tested with combinations of hypothetical host and pathogen genotypes in a model system. In each test, varying numbers of host and pathogen genotypes were combined in all combinations, the resulting disease severities were calculated according to the model, and those data were subjected to analysis of variance. The percentage of total variance accounted for by host x pathogen interaction decreased with increasing numbers of host and pathogen genotypes per test. Simulated selection for virulence among randomly generated pathogen genotypes increased the percentage of variance attributable to host x pathogen genotype interaction, but simulated selection for resistance among host genotypes decreased it. The percentage of variance accounted for by interaction was greatest when selection of resistant host genotypes was followed by selection of the most virulent pathogen genotype on each selected host genotype. When gene frequencies were varied in the model, the interaction variance was greatest at low frequencies of resistance genes and high frequencies of virulence genes, but the number of matches between genes for specific virulence and specific resistance was greatest for high frequencies of both resistance and virulence genes. A simplified method of analysis was developed to estimate the amount of specific resistance in a set of host genotypes inoculated in all combinations with a set of pathogen genotypes. This method, based on the variance of disease severity adjusted to remove general virulence, proved consistently accurate with varying numbers of genotypes in the set, varying numbers of loci for resistance and virulence, and varying frequencies of genes for resistance and virulence. The variance method is of comparable accuracy and is much simpler than the previously proposed methods based on regression analysis. Simulated selection for resistance in the host and for virulence in the pathogen population increased the accuracy of both the variance method and the regression method.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Euphytica 31 (1982), S. 269-279 
    ISSN: 1573-5060
    Keywords: Zea mays ; maize ; Bipolaris maydis ; Colletotrichum graminicola ; quantitative disease resistance
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary Ten inbred lines from the open-pollinated maize variety Jarvis were selected from 51 randomly collected lines to represent a wide range of susceptibility to one isolate each of Bipolaris maydis or Colletotrichum graminicola. Ten isolates of each pathogen were selected for a range of virulence on a maize line with average resistance. Resistance and virulence ratings were based on lengths of lesions that developed on leaves of greenhouse-grown seedlings inoculated with 5 μl droplets of suspensions of known spore concentrations. For each disease the ten maize lines were inoculated in all possible combinations with the ten pathogen isolates. The experiment was run six times with each pathogen. Analysis of variance for individual trials indicated a significant interaction between maize lines and B. maydis isolates in all six trials and between maize lines and C. graminicola isolates in four of six trials. For both diseases. the combined analysis over all six trials revealed no significant interaction. Apparently the expression of specificity in these host-pathogen interactions is variable.
    Type of Medium: Electronic Resource
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  • 7
    Publication Date: 2017-07-24
    Print ISSN: 0003-6951
    Electronic ISSN: 1077-3118
    Topics: Physics
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  • 8
  • 9
  • 10
    Publication Date: 2016-08-28
    Description: Globally, coral reefs are under increasing pressure both through direct anthropogenic influence and increases in climate extremes. Understanding past climate dynamics that negatively affected coral reef growth is imperative for both improving management strategies, and for modelling coral reef responses to a changing climate. The El Niño Southern Oscillation (ENSO) is the primary source of climate variability at inter-annual timescales on the Great Barrier Reef (GBR), north-eastern Australia. Applying continuous wavelet transforms to visually assessed coral luminescence intensity in massive Porites corals from the central GBR we demonstrate that these records reliably reproduce ENSO variance patterns for the period 1880 – 1985. We then applied this method to three sub-fossil corals from the same reef to reconstruct ENSO variance from ~5200 – 4300 years before present (yBP). We show that ENSO events were less extreme and less frequent after ~5200 yBP on the GBR compared to modern records. Growth characteristics of the corals are consistent with cooler sea surface temperatures (SST) between 5200 and 4300 yBP compared to both the millennia prior (~6000 yBP) and modern records. Understanding ENSO dynamics in response to SST variability at geological timescales will be important for improving predictions of future ENSO response to a rapidly warming climate.
    Print ISSN: 0883-8305
    Electronic ISSN: 1944-9186
    Topics: Geosciences
    Published by Wiley on behalf of American Geophysical Union (AGU).
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