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1000 Titel
  • Data accuracy and method validation of chemical soil properties in long-term experiments: Standard operating procedures for a non-certified soil laboratory in Latin America
1000 Autor/in
  1. Grahmann, Kathrin |
  2. Terra, Jose A. |
  3. Ellerbrock, Ruth |
  4. Rubio, Valentina |
  5. Barro, Raquel |
  6. Caamano, Alejandro |
  7. Quincke, Andres |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-02-06
1000 Erschienen in
1000 Quellenangabe
  • 28:e00487
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.geodrs.2022.e00487 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S2352009422000074?via%3Dihub#s0110 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Long-term agricultural experiments (LTE) are essential to detect cumulative treatment effects on soil properties and to design sustainable production systems. However, to ensure high quality of long-term soil data and their correct interpretation, several analytical issues regarding the accuracy and analytical laboratory bias need to be considered. This paper aims to (1) evaluate laboratory precision and trueness of analytical soil data for the evaluation of long-term trends in LTE and to (2) assess the limitations and challenges for non-certified soil laboratories that might compromise the quality of analytical soil data. A data set of internal reference soil materials (IRM) collected over 16 years and interlaboratory data from eleven years were analyzed to verify method precision, trueness, and the subsequent long-term dataset reliability for several soil quality parameters: organic carbon (SOC, determined either by wet or dry combustion), pH (water), extractable phosphorous (either Bray I or citric acid; Bray-P or citric acid-P), and exchangeable potassium (Kexch). Results showed that IRM used by the laboratory were homogenous in terms of physical and chemical composition and appropriate to confirm the precision of long-term soil survey data. The relative standard deviation for repeatability and reproducibility (RSDR) ranged from 1.5% for SOC by wet combustion to 9.5% for citric acid-P. HorRat values (the ratio of the estimated standard deviations of reproducibility and the repeatability found for individual analytical procedures) for all chemical soil properties were within the acceptable ranges of <2.0. Interlaboratory trials for soil pH and SOC showed tolerable standard Z-Scores under 2.0 (Z-Score, calculated from the difference between laboratory results and the assigned value divided by the standard deviation), verifying the trueness of data. The results of this study reinforce the validity of analytical soil data originating from the non-certified laboratory in Uruguay obtaining both precise and true soil quality data over a long period of time for most soil analytes. Nevertheless, the analytical flaws in LTE soil monitoring were revealed and can only be minimized in ongoing and future studies through the inclusion of certified reference material. These recommendations should guide future research activities in LTE studies on analytical data quality management as a requirement for long-term soil monitoring. Finally, the paper proposes a proficiency testing procedure for soil laboratories to achieve and maintain high analytical quality for LTE soil research.
1000 Sacherschließung
lokal Data precision
lokal Reproducibility
lokal Repeatability
lokal Uruguay
lokal Soil organic carbon
lokal Internal reference material
lokal Trueness
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R3JhaG1hbm4sIEthdGhyaW4=|https://frl.publisso.de/adhoc/uri/VGVycmEsIEpvc2UgQS4=|https://frl.publisso.de/adhoc/uri/RWxsZXJicm9jaywgUnV0aA==|https://frl.publisso.de/adhoc/uri/UnViaW8sIFZhbGVudGluYQ==|https://frl.publisso.de/adhoc/uri/QmFycm8sIFJhcXVlbA==|https://frl.publisso.de/adhoc/uri/Q2FhbWFubywgQWxlamFuZHJv|https://frl.publisso.de/adhoc/uri/UXVpbmNrZSwgQW5kcmVz
1000 Label
1000 Förderer
  1. The National Institute of Agricultural Research Uruguay |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer The National Institute of Agricultural Research Uruguay |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6432084.rdf
1000 Erstellt am 2022-03-09T10:45:15.561+0100
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1000 Zuletzt bearbeitet 2022-03-09T10:46:28.096+0100
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6432084 |
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