The study of plant disease epidemics
By Laurence V. Madden, G. Hughes, F. V. D. Bosch. 2007
1,140 citations recorded by the source corpus.
Subfields: Plant Science
View Paper: https://www.semanticscholar.org/paper/8726c989b1a41dbf10974a5727b131b27b2b119d
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In Plant Science
Citations in the corpus
- Helping farmers face the increasing complexity of decision-making for crop protection (2012, background): “Madden et al. (2007) developed the concept of risk algorithm as ‘any calculation that uses observations of identified risk factors from the host crop, the pathogen population and the environment to make an assessment of the need for crop protection measures’.”
- Biological control of coffee rust by antagonistic bacteria under field conditions in Brazil (2009, methodology): “For each experiment, values for INC and SEV were used to calculate the area under the disease progress curve (AUDPC) (Madden et al., 2007), the initial disease (y0), the maximum disease (ymax), and the increment on disease (D) as ymax y0.”
- Early stages of septoria tritici blotch epidemics of winter wheat: build-up, overseasoning, and release of primary inoculum (2011, background): “The epidemic phase of plant diseases is generally well studied and correctly represented in simulation and forecast models (Madden et al., 2007).”
- Plant disease severity estimated visually: a century of research, best practices, and opportunities for improving methods and practices to maximize accuracy (2021, methodology): “…in an attempt to standardize and improve accuracy of visual estimates of disease severity (Chester 1950; Large 1966; James 1974; Nutter Jr 1999; Nutter Jr 2001; Nutter Jr and Esker 2006; Madden et al. 2007; Bock et al. 2010a, 2016a, and Bock et al. 2021; Chiang et al. 2014; Del Ponte et al. 2017).”
- Modelling the impacts of pests and diseases on agricultural systems (2017, background): “Key aspects in the development of DSSs include knowledge on system dynamics, built on data from multiple seasons and collected in the pest-crop systems of interest (Madden et al., 2007).”
- Resistance to rice sheath blight (Rhizoctonia solani Kühn) [(teleomorph: Thanatephorus cucumeris (A.B. Frank) Donk.] disease: current status and perspectives (2011, neutral): “The main spread mechanism of the disease explains why ShB is an extremely aggregated disease when compared to other plant diseases (Madden et al. 2007).”
- Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, methodology): “…is the proportion (or percent) of plants (or plant units, leaves, branches, etc.) diseased out of a total number assessed (Nutter et al., 1991; Madden et al., 2007). iv) Disease severity is the area (relative or absolute) of the sampling unit (leaf, fruit, etc.) showing symptoms of disease.”
- The rhizosphere: a playground and battlefield for soilborne pathogens and beneficial microorganisms (2009, methodology): “With intensively-mapped or quadrat data, the spatial information can be utilized to pick out patterns, such as with distance-based or nearest neighbor analyses (Madden et al. 2007).”
- Yield loss caused by huanglongbing in different sweet orange cultivars in São Paulo, Brazil (2011, methodology): “Because of the difficulties in artificially establishing a HLB severity gradient, the single plant method, where the experimental unit is a single plant, can be used to estimate the yield loss caused by a disease (Madden et al. 2007).”
- Crop losses due to diseases and their implications for global food production losses and food security (2012, background): “These relationships are neither linear (Large 1966; James 1974; Madden 1983; Teng 1987; Campbell and Madden 1990; Madden et al. 2000; Savary et al. 2006a; Madden et al. 2007) nor are they automatic: epidemics do not always lead to measurable injuries, neither do injuries necessarily lead to measurab”
- Modeling and mapping potential epidemics of rice diseases globally (2012, methodology): “With a1⁄4 1, equation (1) is Van der Plank’s (1963)model, where all healthy sites (H) are equally exposed to infection, which is a simplification of reality (Campbell and Madden, 1990; Madden et al., 2007).”
- BAMBARA NUT: A REVIEW OF UTILISATION, MARKET POTENTIAL AND CROP IMPROVEMENT (2012, neutral): “The AUDPC values were standardized relative AUDPC by dividing the AUDPC, values total duration of the of epidemics (Madden et al., 2008).”