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Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control. Often the systems ask the grower a series of questions about the susceptibility of the host crop, and ...
Predictive microbiology. Predictive Microbiology is the area of food microbiology where controlling factors in foods and responses of pathogenic and spoilage microorganisms are quantified and modelled by mathematical equations [1] It is based on the thesis that microorganisms' growth and environment are reproducible, and can be modeled.
Plant disease epidemiology is the study of disease in plant populations. Much like diseases of humans and other animals, plant diseases occur due to pathogens such as bacteria, viruses, fungi, oomycetes, nematodes, phytoplasmas, protozoa, and parasitic plants. [1] Plant disease epidemiologists strive for an understanding of the cause and ...
In Mexico, corn smut is known as huitlacoche ( Spanish pronunciation: [ (ɡ)witlaˈkotʃe], sometimes spelled cuitlacoche ). This word entered Spanish in Mexico from Classical Nahuatl, though the Nahuatl words from which huitlacoche is derived are debated. In modern Nahuatl, the word for huitlacoche is cuitlacochin ( Nahuatl pronunciation ...
Relative to a susceptible plant, disease resistance is the reduction of pathogen growth on or in the plant (and hence a reduction of disease), while the term disease tolerance describes plants that exhibit little disease damage despite substantial pathogen levels. Disease outcome is determined by the three-way interaction of the pathogen, the ...
Arabidopsis thaliana is an annual (rarely biennial) plant, usually growing to 20–25 cm tall. [6] The leaves form a rosette at the base of the plant, with a few leaves also on the flowering stem. The basal leaves are green to slightly purplish in color, 1.5–5 cm long, and 2–10 mm broad, with an entire to coarsely serrated margin; the stem ...
This model predicts that the level of defense investment will increase as the potential of growth decreases. Additionally, plants in resource-poor areas, with inherently slow-growth rates, tend to have long-lived leaves and twigs, and the loss of plant appendages may result in a loss of scarce and valuable nutrients.
Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.