Titlebook: Neotyphodium/Grass Interactions; Charles W. Bacon,Nicholas S. Hill Book 1997 Springer Science+Business Media New York 1997 Pasture.evoluti

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Endophytic Fungi in Grasses from Semiarid Grasslands in Spain,as, the arboreal stratum is dominated by . species, whereas the pastures are composed by a large number of plant species. More than 1000 species of vascular plants have been catalogued in the dehesas of the province of Salamanca. The grass family is the most important, comprising about 12% of the id

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Ecological Diversity in ,-Infected Grasses as Influenced by Host and Fungus Characteristics,emic, long-term associations with numerous cool season grasses (Leuchtmann 1992, White 1987). In these associations, the two partners have developed an intimate relationships over evolutionary time which in most cases can be regarded as mutualistic. The symbiosis may be more antagonistic in endophyt

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Consequences of Endophyte-Infected Grasses on Plant Biodiversity,endophyte-infected species of . and . (Bacon and Siegel, 1988; Funk et al., 1994). Alteration of grasslands, introduction of non-native species and changed grazing patterns also contribute to the spread of infected species. Over 15 million hectares of highly infected tall fescue (.) have been plante

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G. C. M. Latchg vasculature and microvasculature. Capturing early signs of any changes in vasculature may have significant values for early-diagnosis and treatment assessment due to the well understood observation that vascular changes precede cancerous growth and metastasis. With the advent of key enabling techn

Presbycusis

Heather H. Wilkinson,Christopher L. Schardllassifynder is an imaging microscopy system that can locate, image and classify slide based pollen samples. Given the laboriousness of purely manual image acquisition and identification it is vital to exploit assistive technologies like the Classifynder to enable acquisition and analysis of pollen s

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D. J. Barker,M. J. Christensen,Christie Weverlassifynder is an imaging microscopy system that can locate, image and classify slide based pollen samples. Given the laboriousness of purely manual image acquisition and identification it is vital to exploit assistive technologies like the Classifynder to enable acquisition and analysis of pollen s