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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Treinta y Tres. |
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Fecha : |
14/02/2022 |
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Actualizado : |
14/03/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
GRAHMANN, K.; TERRA, J.A.; ELLERBROCK, R.; RUBIO, V.; BARRO, R.; CAMAÑO, A.; QUINCKE, A. |
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Afiliación : |
KATHRIN GRAHMANN, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg, Germany; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUTH ELLERBROCK, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAQUEL BARRO, Postdoctoral Scholarship ANII (National agency of innovation and research, Uruguay); ALEJANDRO CAMAÑO, Service Unit for the Evaluation of Quality and Environmental Control, Department of Environmental Development, Intendancy of Montevideo, Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
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. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Geoderma Regional, 2022. Volume 28, Article number e00487. OPEN ACCESS. doi: https://doi.org/10.1016/j.geodrs.2022.e00487 |
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DOI : |
10.1016/j.geodrs.2022.e00487 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 9 May 2021, Revised 20 December 2021, Accepted 2 February 2022, Available online 6 February 2022. |
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Contenido : |
ABSTRACT.- 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.
© 2022 The Authors. Published by Elsevier B.V. MenosABSTRACT.- 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 reproducib... Presentar Todo |
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Palabras claves : |
Data precision; Internal reference material; Repeatability; Reproducibility; Soil organic carbon; Trueness; URUGUAY. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
https://www.sciencedirect.com/science/article/pii/S2352009422000074/pdf?md5=8d5a81ff8de54639cfdb18c6fdec1c4a&pid=1-s2.0-S2352009422000074-main.pdf
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Marc : |
LEADER 03790naa a2200301 a 4500
001 1062741
005 2022-03-14
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1016/j.geodrs.2022.e00487$2DOI
100 1 $aGRAHMANN, K.
245 $aData accuracy and method validation of chemical soil properties in long-term experiments$bStandard operating procedures for a non-certified soil laboratory in Latin America.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 9 May 2021, Revised 20 December 2021, Accepted 2 February 2022, Available online 6 February 2022.
520 $aABSTRACT.- 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. © 2022 The Authors. Published by Elsevier B.V.
653 $aData precision
653 $aInternal reference material
653 $aRepeatability
653 $aReproducibility
653 $aSoil organic carbon
653 $aTrueness
653 $aURUGUAY
700 1 $aTERRA, J.A.
700 1 $aELLERBROCK, R.
700 1 $aRUBIO, V.
700 1 $aBARRO, R.
700 1 $aCAMAÑO, A.
700 1 $aQUINCKE, A.
773 $tGeoderma Regional, 2022. Volume 28, Article number e00487. OPEN ACCESS. doi: https://doi.org/10.1016/j.geodrs.2022.e00487
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
19/06/2020 |
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Actualizado : |
19/06/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
TSENG, M.; ROEL, A.; DEAMBROSI, E.; TERRA, J.A.; ZORRILLA DE SAN MARTÍN, G.; RICCETTO, S.; PITTELKOW, C.M. |
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Afiliación : |
MENG-CHUN TSENG, DEPARTMENT OF CROP SCIENCES, UNIVERSITY OF ILLINOIS, USA.; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SARA RICCETTO, DEPARTMENT OF CROP SCIENCES, UNIVERSITY OF ILLINOIS; CAMERON M. PITTELKOW, DEPARTMENT OF CROP SCIENCES, UNIVERSITY OF ILLINOIS. |
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Título : |
Towards actionable research frameworks for sustainable intensification in high-yielding rice systems. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Scientific Reports, 2020, 9975. https://doi.org/10.1038/s41598-020-63251-w |
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DOI : |
10.1038/s41598-020-63251-w |
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Idioma : |
Inglés |
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Notas : |
OPEN ACCESS. Article history: Received 07 April 2019 // Accepted 23 March 2020 // Published 19 June 2020. |
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Contenido : |
New research frameworks that simultaneously address production and environmental goals are required to identify promising sustainable intensification options in high-yielding cereal systems. Here we estimated potential changes in environmental footprint associated with crop management practices aimed at breaking the yield ceiling for rice production in Uruguay. Results from a regional survey were combined with field experiments to integrate impacts on productivity and sustainability at two different intensification levels (average-yielding and high-yielding). Survey results indicate that high-yielding farmers produced 14% more grain compare to the regional average (7900 kg ha−1), with 25% to 99% lower agrochemical contamination risk and similar nitrogen use efficiency and carbon footprint. In on-farm trials, the alternative management practices increased yield beyond that of high-yielding farmers by up to 7% in small plots (8 site-years) and 15% in field-scale comparisons (6 site-years), yet an ex post assessment of environmental indicators shows significant decline of resource use efficiencies and increased carbon footprint. Thus, yield gains were not able to compensate for increased environmental footprint, highlighting the challenge of advancing the dual goals of SI in production systems nearing the yield ceiling. This study provides a simple but powerful framework for advancing SI in mainstream cereal production systems based on cost-effective modifications to existing agronomic experiments. MenosNew research frameworks that simultaneously address production and environmental goals are required to identify promising sustainable intensification options in high-yielding cereal systems. Here we estimated potential changes in environmental footprint associated with crop management practices aimed at breaking the yield ceiling for rice production in Uruguay. Results from a regional survey were combined with field experiments to integrate impacts on productivity and sustainability at two different intensification levels (average-yielding and high-yielding). Survey results indicate that high-yielding farmers produced 14% more grain compare to the regional average (7900 kg ha−1), with 25% to 99% lower agrochemical contamination risk and similar nitrogen use efficiency and carbon footprint. In on-farm trials, the alternative management practices increased yield beyond that of high-yielding farmers by up to 7% in small plots (8 site-years) and 15% in field-scale comparisons (6 site-years), yet an ex post assessment of environmental indicators shows significant decline of resource use efficiencies and increased carbon footprint. Thus, yield gains were not able to compensate for increased environmental footprint, highlighting the challenge of advancing the dual goals of SI in production systems nearing the yield ceiling. This study provides a simple but powerful framework for advancing SI in mainstream cereal production systems based on cost-effective modificat... Presentar Todo |
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Palabras claves : |
AGROECOLOGY; ENVIRONMENTAL IMPACT; RICE; URUGUAY. |
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NAL Tesauro : |
ARROZ. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14473/1/Meng-Chun-paper-one-2020.pdf
https://www.nature.com/articles/s41598-020-63251-w.pdf
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Marc : |
LEADER 02446naa a2200277 a 4500
001 1061132
005 2020-06-19
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1038/s41598-020-63251-w$2DOI
100 1 $aTSENG, M.
245 $aTowards actionable research frameworks for sustainable intensification in high-yielding rice systems.$h[electronic resource]
260 $c2020
500 $aOPEN ACCESS. Article history: Received 07 April 2019 // Accepted 23 March 2020 // Published 19 June 2020.
520 $aNew research frameworks that simultaneously address production and environmental goals are required to identify promising sustainable intensification options in high-yielding cereal systems. Here we estimated potential changes in environmental footprint associated with crop management practices aimed at breaking the yield ceiling for rice production in Uruguay. Results from a regional survey were combined with field experiments to integrate impacts on productivity and sustainability at two different intensification levels (average-yielding and high-yielding). Survey results indicate that high-yielding farmers produced 14% more grain compare to the regional average (7900 kg ha−1), with 25% to 99% lower agrochemical contamination risk and similar nitrogen use efficiency and carbon footprint. In on-farm trials, the alternative management practices increased yield beyond that of high-yielding farmers by up to 7% in small plots (8 site-years) and 15% in field-scale comparisons (6 site-years), yet an ex post assessment of environmental indicators shows significant decline of resource use efficiencies and increased carbon footprint. Thus, yield gains were not able to compensate for increased environmental footprint, highlighting the challenge of advancing the dual goals of SI in production systems nearing the yield ceiling. This study provides a simple but powerful framework for advancing SI in mainstream cereal production systems based on cost-effective modifications to existing agronomic experiments.
650 $aARROZ
653 $aAGROECOLOGY
653 $aENVIRONMENTAL IMPACT
653 $aRICE
653 $aURUGUAY
700 1 $aROEL, A.
700 1 $aDEAMBROSI, E.
700 1 $aTERRA, J.A.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aRICCETTO, S.
700 1 $aPITTELKOW, C.M.
773 $tScientific Reports, 2020, 9975. https://doi.org/10.1038/s41598-020-63251-w
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