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Item 10.
GLOSOLAN
inter-laboratory comparison
Suvannang, N. GLOSOLAN chair
Dehayr , R. GLOSOLAN vice chair
Caon, L. GSP-FAO
Hartmann, C. IRD researcher
1. Soils in the current global context
2. Soil labs assessment at global scale
3. Improving results comparability
4. Measuring individual lab perfomances
For practical reasons the GLOBAL network has to be separeted in
REGIONAL networks but we must never forget that global picture
that I would like to quickly remind
1. Soils in the current global context
5th December
This date was not randomly selected
since 2015
GLOSOLAN launched at FAO in 2017 (less than 3 years)
Mrs Nopmanee Suvannang elected first Chairperson
Bangkok (Thailand) 1999
First SEALNET meeting…
EURASIA, EUROPE & S.E. ASIA have long history of soil science & partnership !!!
Ressources…
If…
the Earth was
an apple
?
Ressources…
3 %
!
Ressources…
3 %
> 7 000 000 000 humans
!
Ressources…
3 %
7 000 000 000 humans
> 50 % in the cities
Farmers: 80 % are small holders
!
Ressources…
!
and VERY DIVERSE SITUATIONS…
How to manage
it wisely ?
!
and VERY DIVERSE SITUATIONS…
How to manage
it wisely ?
!
and VERY DIVERSE SITUATIONS…
How to manage
it wisely ?
Most of the data come from
soil laboratories ==>
2. GLOSOLAN question in 2018:
what is the current situation of
soil labs at global (worldwide) scale ?
In other words…
are soil laboratories
currently able to provide:
• data which are comparable ‘worldwide’ ?
(to be sure to make similar conclusions/decisions ,
whatever lab provided your results)
• data in which you can be confident ?
(to be sure to make the correct management decisions and/or scientific
conclusions !)
GLOSOLAN online survey (2018)
http://www.fao.org/publications/card/en/c/CA7091EN
Soil labs assessment on:
staff qualification
 infrastructures
clients
analysis performed
quality control & assurance
certification & accreditation
• On-line questionnaire =
113 questions
• Viewed > 700 times (8 weeks),
• 111 completed responses
from 66 countries
(research and routine soil laboratories )
http://www.fao.org/publications/card/en/c/CA7091EN
==> large worldwide interest
GLOSOLAN online survey (2018)
Staff
< 50 % have formal education
for analysis or soil analysis.
Equipment generally not limiting factor.
Analytical methods
Mostly the same methods but…
large diversity of procedures.
Different methods
Organic carbon
Wet chemistry Dry chemistry
Texture
PIPETTE
Different methods
Correlation between methods
Soil pH
Different procedures
1 method: soil suspension
Many different procedures:
 distilled water or salt solution
 variable soil/liquid ratio
 variable stirring time
 variable resting time
 variable probe position
Organic carbon ‘Walkley & Black’
Different procedures
Many possible procedures:
 Sieving size
 K2Cr2O4 /H2SO4 ratio
or KMnO4/ no H2SO4
 Reaction temperature
 Reaction time
 Conversion factor
25 % labs do not use quality control
samples!
< 50 % labs participates
in an ‘inter laboratory comparison ’!
Quality control
The answers to this question:
“What is the current situation of
soil labs at global (worldwide) scale?”
1. for the main soil parameters, generally the same
methods are used
==> labs have similar instruments/skills
2. Large diversity of procedures for most of the
parameters
==> poor comparability of the results?
3. poor staff training and limited use of quality controls
==> poor data quality?
3.
PROBABLY A LOW COMPARABILITY:
how can we improve it ?
by a worldwide
adoption of standard procedures?
In the past: top-down
but…limited impact
Lab. managers
Worldwide adoption of standard procedures
Experts
Standards
In the past: top-down
but…limited impact
Experts
Standards
Lab. managers
Now: GLOSOLAN uses
bottom-up consensus
COLLABORATIVE writing of the
Standard Operating Procedures (SOPs)
feasible and acceptable
by the majority of labs worldwide
Worldwide adoption of standard procedures
Lab. managers
In the past: top-down
but…limited impact
Experts
Standards
Lab. managers
Now: GLOSOLAN uses
bottom-up consensus
COLLABORATIVE writing of the
Standard Operating Procedures (SOPs)
feasible and acceptable
by the majority of labs worldwide
Worldwide adoption of standard procedures
Lab. managers
GLOSOLAN SOPs involved many volunteer experts in all regions
GLOSOLAN SOPs
5 SOPs published
14 in prep.
http://www.fao.org/3/ca7471en/CA7471EN.pdf
GLOSOLAN SOPs
UN-FAO:NO PAY WALL !!!
GLOSOLAN SOPs
Open Science,
leaving no one behind
5 SOPs published
14 in prep.
about procedures & methods?
about SOPs?
something else?
QUESTIONS / COMMENTS / SUGGESTIONS ?
4.
PROBABLY LOW CONFIDENCE IN THE DATA:
how can we check the data quality ?
EXTERNAL CONTROLS !
Proficiency Testing
Inter Laboratory Comparison
Ring test
4. GLOSOLAN question in 2019
WHAT CONFIDENCE IN THE DATA?
how can we check the data quality ?
PT, Inter lab comparisons, ring test
similar material is sent to all labs
In a Proficiency Testing (PT)
a Certified Reference Material (CRM)
is sent to all labs
CERTIFIED REFERENCE MATERIAL (CRM)
You prepare your material + traceability of all your measures:
TRUE VALUE & uncertaintyare
known
(you know what result the labs should
provide).
CERTIFIED REFERENCE MATERIAL (CRM)
TRUE VALUE & uncertaintyare
known
(you know what result the labs should
provide).
TRUE VALUE
Measurement
uncertainty
You prepare your material + traceability of all your measures:
CERTIFIED REFERENCE MATERIAL (CRM)
TRUE VALUE & uncertaintyare
known
(you know what result the labs should
provide).
Traceability of all your measures:
Easy to measure the labs
performances!
TRUE VALUE
Measurement
uncertainty
CERTIFIED REFERENCE MATERIAL (CRM)
Traceability of all your measures:
BUT... STILL IMPOSSIBLE TO
CREATE ARTIFICIAL SOILS
soil CRM
does not exist ==>
need to run
INTER LAB COMPARISON
TRUE VALUE & uncertaintyare
known
(you know what result the labs should
provide).
real soil samples are used
In absence of CERTIFIED REFERENCE MATERIAL (CRM)
ASSIGNED VALUES* are calculated using the results provided
by the participants (STATISTICAL ANALYIS).
* best available estimate of the true value.
the true value of the soil characteristics are
unknown from ‘PT provider’ & from the labs…
it is like sending the arrows on a white wall….
2 extreme results are possible…
HIGH DISPERSION LOW DISPERSION
Mean =
assigned,
consensus
value
Calculate:
HIGH DISPERSION LOW DISPERSION
EXCLUDING OUTLIERS
consensus
value
STANDARD
DEVIATION
Calculate:
HIGH DISPERSION LOW DISPERSION
consensus
value
+/- 1 sd: 68% results
+/- 2 sd: 95% results
+/- 3 sd: 99% results
STANDARD
DEVIATION
Calculate:
HIGH DISPERSION LOW DISPERSION
consensus
value
+/-
1 sd
+/- 1 sd: 68% results
+/- 2 sd: 95% results
+/- 3 sd: 99% results
STANDARD
DEVIATION
Calculate:
NOW YOU CAN DRAW
ZONES ON THE TARGETS:
LOW DISPERSIONHIGH DISPERSION
HIGH DISPERSION LOW DISPERSION
consensus
value
+/-
1 sd
+/- 1 sd: 68% results
+/- 2 sd: 95% results
+/- 3 sd: 99% results
STANDARD
DEVIATION
Calculate:
NOW YOU CAN DRAW
ZONES ON THE TARGETS: -1<Z<1
-2<Z<-1
1<Z<2
-2<Z<-3
2<Z<3AND Z-SCORE CAN BE
CALCULATED FOR EACH RESULT
-1<Z<1
-2<Z<-1
1<Z<2
-2<Z<-3
2<Z<3
HIGH DISPERSION LOW DISPERSION
QUESTIONS / COMMENTS / SUGGESTIONS ?
about PT & ILC ?
about true value?
about statistics?

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GLOSOLAN Soil Lab Assessment

  • 1. Item 10. GLOSOLAN inter-laboratory comparison Suvannang, N. GLOSOLAN chair Dehayr , R. GLOSOLAN vice chair Caon, L. GSP-FAO Hartmann, C. IRD researcher
  • 2. 1. Soils in the current global context 2. Soil labs assessment at global scale 3. Improving results comparability 4. Measuring individual lab perfomances
  • 3. For practical reasons the GLOBAL network has to be separeted in REGIONAL networks but we must never forget that global picture that I would like to quickly remind 1. Soils in the current global context
  • 4.
  • 5.
  • 6.
  • 7. 5th December This date was not randomly selected since 2015
  • 8.
  • 9. GLOSOLAN launched at FAO in 2017 (less than 3 years) Mrs Nopmanee Suvannang elected first Chairperson Bangkok (Thailand) 1999 First SEALNET meeting… EURASIA, EUROPE & S.E. ASIA have long history of soil science & partnership !!!
  • 11. If… the Earth was an apple ? Ressources…
  • 13. 3 % > 7 000 000 000 humans ! Ressources…
  • 14. 3 % 7 000 000 000 humans > 50 % in the cities Farmers: 80 % are small holders ! Ressources…
  • 15. ! and VERY DIVERSE SITUATIONS… How to manage it wisely ?
  • 16. ! and VERY DIVERSE SITUATIONS… How to manage it wisely ?
  • 17. ! and VERY DIVERSE SITUATIONS… How to manage it wisely ?
  • 18. Most of the data come from soil laboratories ==> 2. GLOSOLAN question in 2018: what is the current situation of soil labs at global (worldwide) scale ?
  • 19. In other words… are soil laboratories currently able to provide: • data which are comparable ‘worldwide’ ? (to be sure to make similar conclusions/decisions , whatever lab provided your results) • data in which you can be confident ? (to be sure to make the correct management decisions and/or scientific conclusions !)
  • 20. GLOSOLAN online survey (2018) http://www.fao.org/publications/card/en/c/CA7091EN Soil labs assessment on: staff qualification  infrastructures clients analysis performed quality control & assurance certification & accreditation
  • 21. • On-line questionnaire = 113 questions • Viewed > 700 times (8 weeks), • 111 completed responses from 66 countries (research and routine soil laboratories ) http://www.fao.org/publications/card/en/c/CA7091EN ==> large worldwide interest GLOSOLAN online survey (2018)
  • 22. Staff < 50 % have formal education for analysis or soil analysis. Equipment generally not limiting factor. Analytical methods Mostly the same methods but… large diversity of procedures.
  • 23. Different methods Organic carbon Wet chemistry Dry chemistry
  • 25. Correlation between methods Soil pH Different procedures 1 method: soil suspension Many different procedures:  distilled water or salt solution  variable soil/liquid ratio  variable stirring time  variable resting time  variable probe position
  • 26. Organic carbon ‘Walkley & Black’ Different procedures Many possible procedures:  Sieving size  K2Cr2O4 /H2SO4 ratio or KMnO4/ no H2SO4  Reaction temperature  Reaction time  Conversion factor
  • 27. 25 % labs do not use quality control samples! < 50 % labs participates in an ‘inter laboratory comparison ’! Quality control
  • 28. The answers to this question: “What is the current situation of soil labs at global (worldwide) scale?”
  • 29. 1. for the main soil parameters, generally the same methods are used ==> labs have similar instruments/skills 2. Large diversity of procedures for most of the parameters ==> poor comparability of the results? 3. poor staff training and limited use of quality controls ==> poor data quality?
  • 30. 3. PROBABLY A LOW COMPARABILITY: how can we improve it ? by a worldwide adoption of standard procedures?
  • 31. In the past: top-down but…limited impact Lab. managers Worldwide adoption of standard procedures Experts Standards
  • 32. In the past: top-down but…limited impact Experts Standards Lab. managers Now: GLOSOLAN uses bottom-up consensus COLLABORATIVE writing of the Standard Operating Procedures (SOPs) feasible and acceptable by the majority of labs worldwide Worldwide adoption of standard procedures Lab. managers
  • 33. In the past: top-down but…limited impact Experts Standards Lab. managers Now: GLOSOLAN uses bottom-up consensus COLLABORATIVE writing of the Standard Operating Procedures (SOPs) feasible and acceptable by the majority of labs worldwide Worldwide adoption of standard procedures Lab. managers
  • 34. GLOSOLAN SOPs involved many volunteer experts in all regions
  • 35. GLOSOLAN SOPs 5 SOPs published 14 in prep. http://www.fao.org/3/ca7471en/CA7471EN.pdf
  • 37. GLOSOLAN SOPs Open Science, leaving no one behind 5 SOPs published 14 in prep.
  • 38. about procedures & methods? about SOPs? something else? QUESTIONS / COMMENTS / SUGGESTIONS ?
  • 39. 4. PROBABLY LOW CONFIDENCE IN THE DATA: how can we check the data quality ? EXTERNAL CONTROLS !
  • 40. Proficiency Testing Inter Laboratory Comparison Ring test 4. GLOSOLAN question in 2019 WHAT CONFIDENCE IN THE DATA? how can we check the data quality ?
  • 41. PT, Inter lab comparisons, ring test similar material is sent to all labs
  • 42. In a Proficiency Testing (PT) a Certified Reference Material (CRM) is sent to all labs
  • 43. CERTIFIED REFERENCE MATERIAL (CRM) You prepare your material + traceability of all your measures: TRUE VALUE & uncertaintyare known (you know what result the labs should provide).
  • 44. CERTIFIED REFERENCE MATERIAL (CRM) TRUE VALUE & uncertaintyare known (you know what result the labs should provide). TRUE VALUE Measurement uncertainty You prepare your material + traceability of all your measures:
  • 45. CERTIFIED REFERENCE MATERIAL (CRM) TRUE VALUE & uncertaintyare known (you know what result the labs should provide). Traceability of all your measures: Easy to measure the labs performances! TRUE VALUE Measurement uncertainty
  • 46. CERTIFIED REFERENCE MATERIAL (CRM) Traceability of all your measures: BUT... STILL IMPOSSIBLE TO CREATE ARTIFICIAL SOILS soil CRM does not exist ==> need to run INTER LAB COMPARISON TRUE VALUE & uncertaintyare known (you know what result the labs should provide).
  • 47. real soil samples are used In absence of CERTIFIED REFERENCE MATERIAL (CRM) ASSIGNED VALUES* are calculated using the results provided by the participants (STATISTICAL ANALYIS). * best available estimate of the true value. the true value of the soil characteristics are unknown from ‘PT provider’ & from the labs…
  • 48. it is like sending the arrows on a white wall…. 2 extreme results are possible…
  • 49. HIGH DISPERSION LOW DISPERSION
  • 52. consensus value +/- 1 sd: 68% results +/- 2 sd: 95% results +/- 3 sd: 99% results STANDARD DEVIATION Calculate: HIGH DISPERSION LOW DISPERSION
  • 53. consensus value +/- 1 sd +/- 1 sd: 68% results +/- 2 sd: 95% results +/- 3 sd: 99% results STANDARD DEVIATION Calculate: NOW YOU CAN DRAW ZONES ON THE TARGETS: LOW DISPERSIONHIGH DISPERSION HIGH DISPERSION LOW DISPERSION
  • 54. consensus value +/- 1 sd +/- 1 sd: 68% results +/- 2 sd: 95% results +/- 3 sd: 99% results STANDARD DEVIATION Calculate: NOW YOU CAN DRAW ZONES ON THE TARGETS: -1<Z<1 -2<Z<-1 1<Z<2 -2<Z<-3 2<Z<3AND Z-SCORE CAN BE CALCULATED FOR EACH RESULT -1<Z<1 -2<Z<-1 1<Z<2 -2<Z<-3 2<Z<3 HIGH DISPERSION LOW DISPERSION
  • 55. QUESTIONS / COMMENTS / SUGGESTIONS ? about PT & ILC ? about true value? about statistics?