2014 AOSA/SCST Mid-West Region SORGHUM WARM TEST REFEREE

Slides:



Advertisements
Similar presentations
Salinization Lab.
Advertisements

Chapter 15 ANOVA.
ANOVA: ANalysis Of VAriance. In the general linear model x = μ + σ 2 (Age) + σ 2 (Genotype) + σ 2 (Measurement) + σ 2 (Condition) + σ 2 (ε) Each of the.
Analysis of Variance: ANOVA. Group 1: control group/ no ind. Var. Group 2: low level of the ind. Var. Group 3: high level of the ind var.
1 Chapter 13: Introduction to Analysis of Variance.
Factorial Designs - 1 Intervention studies with 2 or more categorical explanatory variables leading to a numerical outcome variable are called Factorial.
2013 AOSA/SCST Mid-West Region SORGHUM WARM TEST REFEREE A comparison of the 10 day AOSA warm test to a 7 day warm test.
1 Statistics for the Behavioral Sciences (5 th ed.) Gravetter & Wallnau Chapter 10 The t Test for Two Independent Samples University of Guelph Psychology.
Matched Pairs, Within-Subjects, and Mixed Designs
1 Design of Engineering Experiments Part 10 – Nested and Split-Plot Designs Text reference, Chapter 14, Pg. 525 These are multifactor experiments that.
Chapter 12: Introduction to Analysis of Variance
2014 AOSA/SCST Mid-West Region SORGHUM WARM TEST REFEREE A comparison of the 10 day AOSA warm test to a 7 day warm test.
Discussion 3 1/20/2014. Outline How to fill out the table in the appendix in HW3 What does the Model statement do in SAS Proc GLM ( please download lab.
Diploma in Statistics Design and Analysis of Experiments Lecture 2.11 Design and Analysis of Experiments Lecture Review of Lecture Randomised.
AOSA/SCST Region IV - Southwest Referee 2013 Phaseolus vulgaris - Organic Media Comparative Germination Testing Presented by David M. Johnston, RST Monsanto.
Copyright © Cengage Learning. All rights reserved. 12 Analysis of Variance.
The Scientific Method. Science: w Is a particular way to investigate the world, a systematic attempt to understand the universe.
Chapter 13 Design of Experiments. Introduction “Listening” or passive statistical tools: control charts. “Conversational” or active tools: Experimental.
1/54 Statistics Analysis of Variance. 2/54 Statistics in practice Introduction to Analysis of Variance Analysis of Variance: Testing for the Equality.
Inferential Statistics Psych 231: Research Methods in Psychology.
Seed Testing Survey Tina Tillery ENCRUSTED, COATED AND PELLETED POACEAE SPP.
The Effects of Creatine Monohydrate on Growth of Phaseolus Vulgaris Alex Steed Aberdeen Central High School Purpose Hypothesis Methods Data Analysis This.
Agar Media Corn and Tomato National Referee 2014
AOSA/SCST Region IV - Southwest Referee 2013 Phaseolus vulgaris - Organic Media Comparative Germination Testing Presented by David M. Johnston, RST.
NW Referee Effect of storage conditions on seed viability and vigor of fine fescue.
Agar Media Corn and Tomato 2015 National Referee
HEAT STRESS TEST BRASSICA SPP.
Shortened Soybean Germ
Feasibility of Discontinuing the Factoring Procedure in Fine Fescues
Prechill vs. Non Prechill
Comparison of Orchardgrass (Dactylis glomerata)
Lesson 11.4: Experimental Design
Lab Notebook: Diffusion & Osmosis
Natural light V.S Artificial light
Discussion of presentations Issues 1. imbalanced sample size 2
An Introduction to Two-Way ANOVA
Comparing Three or More Means
Statistics Analysis of Variance.
Natural light vs. artificial light
Multiple Regression Analysis and Model Building
Feasibility of Shortening the Germination and Fluorescence Test Period
National Referee Agar Media Corn Germination 2016
Chapter 10: Analysis of Variance: Comparing More Than Two Means
Within- Subjects Design
Shortened Soybean Germ
Uniformity in Kentucky Bluegrass Germination
IE-432 Design Of Industrial Experiments
Hydrasleeve evaluation for North Campus
Zone 5 Southern 2016 Bahiagrass Referee Results
2016 Onion Germination Referee Results
Chapter 10: The t Test For Two Independent Samples
Scientific Method/Lab Report Reference Guide
Does Decoating effect germination over time?
One-Way Analysis of Variance
SCIENTIFIC METHOD Type notes here
Overview of the AOSA Brassica carinata referee 2017
Joe Brehm, Mariel Boldis, Steven Bristow, and Janyne Little
Goodness of Fit.
2016 Onion Germination Referee Results
The Analysis of Variance
Psych 231: Research Methods in Psychology
Shortened Soybean Germ
Psych 231: Research Methods in Psychology
FLOWER SEED Germination Referee Results
Chapter 10 – Part II Analysis of Variance
FLOWER SEED Germination Referee
Zone 5 Southern 2018 Argentine Bahiagrass Referee Proposal
Terry Dunfield RST –Eurofins BDI, Longmont CO
Clover Referee Preliminary results on clover planting media
Hot Pepper Germination
Presentation transcript:

2014 AOSA/SCST Mid-West Region SORGHUM WARM TEST REFEREE A comparison of the 10 day AOSA warm test to a 7 day warm test.

Purpose The purpose of this referee was to determine if the AOSA sorghum warm test procedure can be shortened from 10 days at 20°-30°C to 7 days. Potential Benefits To reduce the turnaround time by 3 days To make this test easier to schedule To make the samples easier to evaluate, better uniformity within and among labs To provide more planting and evaluation days per week

Procedure Follow the AOSA Rules for Sorghum bicolor, 20°C-30°C for 10 days. Then use the same method, but substitute 7 days instead of the recommended 10 day test duration. Carryover sorghum was used so there would be no need to prechill any of the samples. Twelve samples (6 lots duplicated and randomized) were sent to each participant. This larger set of samples provided more data points to determine uniformity within and among participating laboratories. Results will presented at the 2014 AOSA/SCST meeting

Survey Media a. All respondents but 5 used rolled towels. Other media used included TB, TC and agar*. b. One respondent using TC had insufficient plumule development at 4 days for germination. c. One respondent using TB had substantially lower 4 day counts than respondents using RT at 20-30C. Temperature a. Most respondents used 20-30C, four respondents used 25C Light use did not specify if light on 24/7 or only during the 30C temperature cycle.

Discussion The 25 participants provided a good cross section of regulatory and commercial seed testing laboratories to compare the 7 and 10 test durations for the sorghum warm test. Test durations proved to be statistically equivalent. 75% of the labs finalize their tests early as a routine, which is not the intention of the current recommended procedure. If the procedure was changed to 7 day test duration and a problem exists with a sample the test can all ways be extended to 10 days. There seemed to be a slight edge for optimum results for the 7 day test when it comes to testing lower quality seed where disease may interfere with the final evaluations. It was interesting to see how many different sizes of towels were used, especially the larger sizes 12”x16”, 12”x18” and 12”x 24” given the small seed size of sorghum. The majority of the labs used 38# paper.

Within Lab Variability Tests Comparisons 10 Day OOT 7 Day OOT 10 vs. 7day OOT 336 26 15 35 Within a laboratory, on the same sample, the lab was almost twice as likely to be out of tolerance when testing on a 10 day basis as a 7 day basis. 11% of the time a lab was out of tolerance between the 10 day test and the 7 day test.

Paired T Test 10 Day vs.. 7 Day

ANOVA Results of 2 Test Duration, 6 Samples, 24 Participants and Nested ANOVA: Germination Ave versus Days, Sample ID, Referee Participant # Analysis of Variance for Germination Ave Source DF SS MS F P Days 1 79.99 79.99 0.004 0.949 NS Sample no 10 183332.63 18333.26 127.604 0.000 *** Paricipant 324 46550.57 143.67 14.946 0.000 *** Error 336 3229.95 9.61 Total 671 233193.14 There was no statistical difference between test duration The referee was designed for statistical difference between samples Unfortunately there were statistical differences between respondents

Participants had the most difficult time with very low quality sorghum

Comparison of Overall Results vs Comparison of Overall Results vs. Agar (one participant) Agar showed some potential, slightly higher germination was observed with agar Additional Participants may close the gap between testing on paper toweling and creped cellulose blotters and agar There were insufficient comparisons for valid statistics

Conclusions The 7 day and 10 day warm test results showed no statistical differences in a large scale trial Currently many labs finalize before the 10 day, 75% of labs finalize early according to previous surveys Poor quality samples have their optimum germination prior to the 10 day evaluation for most labs Some labs like a first count

Recommendations Based on the referee data a rule change can be proposed to shorten the current 10 day sorghum warm test to a 7 day duration. a. This would provide a 3 day quicker turnaround on data b. Make the tests easier to schedule c. Tests can be planted and evaluated everyday d. Replications should be easier to evaluate providing more uniform data e. New crop seed would still need to pre-chilled