Susceptibility scale to Phytophthora infestans in potato genotypes Manuel Gastelo Global Trial Data Management System Workshop Nairobi, 26 - 28 June -

Slides:



Advertisements
Similar presentations
Functions and Their Representations
Advertisements

Costed Plan for Scaling Up Nutrition (SUN) Mali Meera Shekar, Christine McDonald, Patrick Hoang-Vu Eozenou, and Ali Subandoro World Bank October 2013.
Measures of Disease Frequency, Effect and Impact
ENGINEERING MATERIAL PROPERTIES (CE1303)
 Variable - a single quality characteristic that can be measured on a numerical scale.  When working with variables, we should monitor both the mean.
Oceans 97.2% All icecaps/glaciers2.0% Groundwater0.62% Freshwater lakes0.009% Inland seas/salt lakes0.008% Atmosphere0.001% All Rivers0.0001% Total %
Calculating percentages of amounts no calculator ©Mathematics Education Centre, Loughborough University.
Sample size. Ch 132 Sample Size Formula Standard sample size formula for estimating a percentage:
I can carry out simple percentage calculations.
Preparing for the Final Examination. Course Structure Probability Design Issues and Descriptive Statistics Confidence Intervals and Hypothesis Tests.
Motive Konza: understanding disease, since there is no apparent reason to manage native pathogens of native plants Also have background information in.
Global Positioning Systems and Geographic Information Systems
INCIDENCE AND SEVERITY OF BEAN ANTHRACNOSE BY Colletotrichum lindemuthianum ON VARIED AGES OF COMMON BEAN (Phaseolus vulgaris L) INOCULATED USING DIFFERENT.
Measurements: Every measurement has UNITS.
EFFICACY OF FUNGICIDE – MILLIONAIRE 69%WDG, IN THE CONTROL OF EARLY/LATE BLIGHT IN TOMATO BY JOSEPH OMBONGA OKINYI A22/0085/2009 SUPERVISOR DR. R.D. NARLA.
What affects their distribution and how can we investigate it? B2.4.
Upscaling disease risk estimates Karen Garrett Kansas State University.
Numbers Percentage of a number.
1.3 Assessment of disease intensity Introduction and definitions Methods for assessing disease intensity Methods for analyzing disease records Methods.
Numbers in Science. Why Do We Collect Data? We collect data to analyze test results, calculate averages, compare our data with other sets of data, and.
1 Chapter 4 Numerical Methods for Describing Data.
Yield Loss Prediction Tool for Field-Specific Risk Management of Asian Soybean Rust S. Kumudini, J. Omielan, C. Lee, J. Board, D. Hershman and C. Godoy.
RESEARCH & DATA ANALYSIS
Evaluating Student Presentations Speaking Intensive Workshop.
Class 11, October 8, 2015 Lessons 2.4 & 2.5.  By the end of this lesson, you should understand: ◦ The scale on graphs can change the perception of the.
Chapter 7 Measuring of data Reliability of measuring instruments The reliability* of instrument is the consistency with which it measures the target attribute.
Estimation Great Marlow School Mathematics Department.
Helicobacter pylori Infection Is Associated With an Increased Rate of Diabetes Featured Article: Christie Y. Jeon, Sc.D., Mary N. Haan, Dr.PH., Caroline.
Percentages. What Are Percentages? A percentage is a number expressed as a fraction of 100. We use the percent sign % when representing numbers as a percentage.
This question is difficult to answer. Estimates are usually based on food, but human agriculture limits assumptions on available amounts. Human population.
ASSESSMENT OF YIELD LOSS BY PLANT PATHOGENS. ■ For making decision concerning the need of disease management (cost/effective calculations ■ For identifying.
SCREENING OF GENERATED PARTIAL INBREDS FOR RESISTANCE TO CASSAVA BROWN STREAK DISEASE IN UGANDA By Kaweesi 1 T, Kawuki 1 R, Baguma 1 Y, Kyaligonza 1 V,
Instructional Objectives:
Global burden of diseases
Xavier Martini1, Natalie Kincy2, Christian Nansen 1, 2
Results and Discussion Conclusion and recommendations
Models for estimate yield losses due to wheat rusts and powdery mildew By Dr.Gamalat Abd-Elazize& Dr. Mohamed Abdelkader Wheat Diseases Research Department.
Warm up Biff the Builder is having trouble with the current house that he is working on. Explain the causes of Biff’s problems.
Jan Nechwatal & Michael Zellner
Simone M. Shurland, Ph.D., Division of Anti-Infective Products
Blood T-cell receptor diversity decreases during the course of HIV infection, but the potential for a diverse repertoire persists by Paul D. Baum, Jennifer.
Simon Sawhney, Simon D. Fraser  Advances in Chronic Kidney Disease 
Risk ratios 12/6/ : Risk Ratios 12/6/2018 Risk ratios StatPrimer.
Large-scale testing of women in Copenhagen has not reduced the prevalence of Chlamydia trachomatis infections  H. Westh, H.J. Kolmos  Clinical Microbiology.
Simon Sawhney, Simon D. Fraser  Advances in Chronic Kidney Disease 
Recognition for Conservative Care in Kidney Failure
D.E. Low  Clinical Microbiology and Infection 
Predicted residual activity of rilpivirine in HIV-1 infected patients failing therapy including NNRTIs efavirenz or nevirapine  K. Theys, R.J. Camacho,
Measures of Disease Occurrence
Effect of increased concentrations of atmospheric carbon dioxide on the global threat of zinc deficiency: a modelling study  Dr Samuel S Myers, MD, K.
Practice before a Percentage Change on finding the amount using a
Cost-effectiveness of scaling up mass drug administration for the control of soil- transmitted helminths: a comparison of cost function and constant costs.
Kaplan–Meier estimates of the incidence of first heart failure hospitalization during follow-up according to the statin category among patients with type.
Distribution of percentage compliance during the intervention period for Sch-I and Sch-V. Distribution of percentage compliance during the intervention.
% Percentages © T Madas.
Update on antifungal resistance in Aspergillus and Candida
Incidence, severity, help seeking, and management of uncomplicated urinary tract infection: a population-based survey by Chris C Butler, Meredith KD Hawking,
A.W. Karchmer  Clinical Microbiology and Infection 
Populations A population is a group of organisms of the same species that inhabit a specific geographic area.
P.M. Hawkey  Clinical Microbiology and Infection 
V. Kyaligonza, R. Kawuki, M. Ferguson, Y. Baguma, T. Kaweesi , J
G.M. Rossolini, E. Mantengoli  Clinical Microbiology and Infection 
Cohort Study.
Tapetal mitochondria in wild-type (WT), drp3b, and elm1 mutants.
Susceptibility of multi-drug-resistant Pseudomonas aeruginosa in intensive care units: results from the European MYSTIC study group†   H. Goossens  Clinical.
Unit 3: Rational Expressions Dr. Shildneck September 2014
Incidence Incidence of a disease is: “the rate at which new cases occur in a population in a given period, usually in the past 12 months (one calendar.
AGE BASED PREDICTION BIAS IN SPIROMETRY REFERENCE EQUATIONS
Required Practical 9: Key term What is a quadrat?
Prevalence & Incidence
Presentation transcript:

Susceptibility scale to Phytophthora infestans in potato genotypes Manuel Gastelo Global Trial Data Management System Workshop Nairobi, June Global Trial Data Management System Workshop Nairobi, June

Evaluation of diseases  It is one of the most important tasks and usually more difficult to perform  A adequate evaluation method should give exact, accurate and reproducible results Terminologies in evaluation of disease Intensity: The amount of disease present in a plant or plant population Incidence: The number of diseased plants in reference to the totality of plants evaluated Severity: Area or volume the affected plant tissue in relation to the area or volume of the plant

Methods for evaluating disease Horsfall-Barrant Scale: assigned to the plant, a numeric value according to the percentage of leaf area infected by the disease Direct Estimation: Estimated percentage of severity directly Methods for evaluating disease Horsfall-Barrant Scale: assigned to the plant, a numeric value according to the percentage of leaf area infected by the disease Direct Estimation: Estimated percentage of severity directly

How to measure resistance to LB AUDPC : has been used for a long time as a single measure to quantify the amount of disease (LB), but can not compare the AUDPCs of a clon in different years and locationes, so we seek standardized measure and was called audpc relative (AUDPCr) AUDPCr : is calculated dividing the AUDPC of clone by AUDPC maximum potential.

The scale of susceptibility : In 2009 Dr. Forbes et al established a scale of susceptibility to LB using the numbers 1 to 9. This scale allows us to compare resistance of a clon in different yeras and locations. This scale from 1 to 9 (resistant to suceptible), gives numbers that are easier to remember and interpreted

How calculate Scale of susceptibility =F2/$F$10*6

Thanks you