Bock et al., 2008 - Google Patents
Characteristics of the perception of different severity measures of citrus canker and the relationships between the various symptom typesBock et al., 2008
View PDF- Document ID
- 9432874188481650219
- Author
- Bock C
- Parker P
- Cook A
- Gottwald T
- Publication year
- Publication venue
- Plant Disease
External Links
Snippet
Citrus canker is a disease of citrus and is caused by the bacterial pathogen Xanthomonas citri subsp. citri. Ways of managing the disease are being sought, and accurate, precise, reproducible disease assessment is needed for monitoring epidemics. The objective of this …
- 241000068898 Xanthomonas citri pv. citri 0 title abstract description 28
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/52—Use of compounds or compositions for colorimetric, spectrophotometric or fluorometric investigation, e.g. use of reagent paper and including single- and multilayer analytical elements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
- G01N33/12—Investigating or analysing materials by specific methods not covered by the preceding groups food meat; fish
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/40—Investigating hardness or rebound hardness
- G01N3/42—Investigating hardness or rebound hardness by performing impressions under a steady load by indentors, e.g. sphere, pyramid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bock et al. | Characteristics of the perception of different severity measures of citrus canker and the relationships between the various symptom types | |
Wright | Solving measurement problems with the Rasch model | |
Allison et al. | Body mass index and all-cause mortality among people age 70 and over: the Longitudinal Study of Aging | |
Nutter Jr et al. | Improving the accuracy and precision of disease assessments: selection of methods and use of computer-aided training programs | |
Giavarina | Understanding bland altman analysis | |
US6834530B2 (en) | Odor measuring apparatus | |
Heise | Separating reliability and stability in test-retest correlation | |
Newton et al. | Subjective components of mildew assessment on spring barley | |
Schmitt et al. | Comparison of three techniques to assess group-level beta and gamma change | |
O'MAHONY | Short‐cut signal detection measures for sensory analysis | |
Kane | On the use of IRT models with judgmental standard setting procedures | |
Plummer et al. | Measurement error in dietary assessment: an investigation using covariance structure models. Part II | |
Bock et al. | Comparison of assessment of citrus canker foliar symptoms by experienced and inexperienced raters | |
Marcoulides | Generalizability theory: Picking up where the Rasch IRT model leaves off? | |
Bock et al. | The effect of Horsfall-Barratt category size on the accuracy and reliability of estimates of pecan scab severity | |
Dickinson | Designs for evaluating the validity and accuracy of performance ratings | |
Smith et al. | A comparison of two methods of test equating in the Rasch model | |
Schrader et al. | Evaluating lung function and anthropometric growth data in a longitudinal study on adolescents | |
Comerford et al. | Use of discriminant analysis for classification of fertilizer‐responsive sites | |
Melican et al. | Accuracy of item performance predictions based on the Nedelsky standard setting method | |
CA2421571A1 (en) | System and method for determining clinical equivalence of test methods | |
McKinley et al. | A Comparison of the ANCILLES and LOGIST Parameter Estimation Procedures for the Three-Parameter Logistic Model Using Goodness of Fit as a Criterion. | |
CN117033355B (en) | Laboratory data validity analysis method based on big data | |
Koopmans | On the distinction between fractal and seasonal dependencies in time series data | |
White et al. | A guide to spirometry as applied to occupational health |