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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
28/10/2019 |
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Actualizado : |
28/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
GEORGE, T.S.; GILES, C.D.; MENEZES-BLACKBURN, D.; CONDRON, L.M.; GAMA-RODRIGUES, A.C.; JAISI, D.; LANG, F.; NEAL, A.L.; STUTTER, M.I.; ALMEIDA, D.S.; BOL, R.; CABUGAO, K.G.; CELI, L.; COTNER, J.B.; FENG, G.; GOLL, D.S.; HALLAMA, M.; KRUEGER, J.; PLASSARD, C.; ROSLING, A.; DARCH, T.; FRASER, T.; GIESLER, R.; RICHARDSON, A.E.; TAMBURINI, F.; SHAND, C.A.; LUMSDON, D.G.; ZHANG, H.; BLACKWEL, M.S.A.; WEARING, C.; MEZELI, M.M.; ALMÅS, Å.R.; AUDETTE, Y.; BERTRAND, I.; BEYHAUT, E.; BOITT, G.; BRADSHAW, N.; BREARLEY, C.A.; BRUULSEMA, T.W.; CIAIS, P.; COZZOLINO, V.; DURAN, P.C.; MORA, M.L.; DE MENEZES, A.B.; DODD, R.J.; DUNFIELD, K.; ENGL, C.; FRAZÃO, J.J.; GARLAND, G.; GONZÁLEZ JIMÉNEZ, J.L.; GRACA, J.; GRANGER, S.J.; HARRISON, A.F.; HEUCK, C.; HOU, E.Q.; JOHNES, P.J.; KAISER, K.; KJÆR. H.A.; KLUMPP, E.; LAMB, A.L.; MACINTOSH, K.A.A; MACKAY, E.B.; MCGRATH, J.; MCINTYRE, C.; MCLAREN, T.; MÉSZÁROS, E.; MISSONG, A.; MOOSHAMMER, M.; NEGRÓN, C.P.; NELSON, L.A.; PFAHLER, V.; POBLETE-GRANT, P.; RANDALL, M.; SEGUEL, A.; SETH, K.; SMITH, A.C.; SMITS, M.M.; SOBARZO, J.A.; SPOHN, M.; TAWARAYA, K.; TIBBETT, M.; VORONEY, V.; WALLANDER, H.; WANG, L.; WASAKI, J.; HAYGARTH, P.M. |
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Afiliación : |
T. S. GEORGE, The James Hutton Institute, United Kingdom.; C. D. GILES, The James Hutton Institute, United Kingdom.; D. MENEZES-BLACKBURN, Lancaster Environment Centre, Lancaster University, United Kingdom.; L. M. CONDRON, Lincoln University, New Zealand.; A. C. GAMA-RODRIGUES, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF - Laboratório de Solos), Brazil.; D. JAISI, Plant and Soil Sciences, University of Delaware, United States; F. LANG, Plant and Soil Sciences, University of Delaware, United States; A. L. NEAL, Rothamsted Research, West Common, United Kingdom; M. I. STUTTER, The James Hutton Institute, United Kingdom; D. S. ALMEIDA, College of Agricultural Sciences, Department of Crop Science, Sao Paulo State University (UNESP), Brazil; R. BOL, Institute of Bio- and Geosciences, IBG-3: Agrosphere, Germany; K. G. CABUGAO, Oak Ridge National Laboratory, United States; L. CELI, DISAFA, Soil Biogeochemistry, University of Turin, Italy; J. B. COTNER, University of Minnesota, United States; G. FENG, China Agricultural University, Beijing, China; D. S. GOLL, Le Laboratoire des Sciences du Climat et de l’Environnement, IPSL-LSCE CEA/CNRS/UVSQ Saclay, France; M. HALLAMA, Institute of Soil Science, University of Hohenheim, Germany; J. KRUEGER, Faculty of Environment and Natural Resources, Chair of Soil Ecology, University of Freiburg, Germany; C. PLASSARD, INRA UMR ECO&SOLS, Montpellier, France; A. ROSLING, Evolutionary Biology Centre, EBC, Sweden; T. DARCH, Rothamsted Research, West Common, United Kingdom; T. FRASER, Centre for Agri-environmental Research, School of Agriculture Policy and Development, University of Reading, United Kingdom; R. GIESLER, Climate Impacts Research Centre, Dep. of Ecology and Environmental Science, Umeå University, Sweden; A. E. RICHARDSON, CSIRO Agriculture & Food, ACT, Australia; F. TAMBURINI, D-USYS, ETH Zurich, Switzerland; C. A. SHAND, The James Hutton Institute, United Kingdom; D. G. LUMSDON, The James Hutton Institute, United Kingdom; H. ZHANG, Lancaster Environment Centre, Lancaster University, United Kingdom; M. S. A. BLACKWEL, Rothamsted Research, West Common, United Kingdom; C. WEARING, Lancaster Environment Centre, Lancaster University, United Kingdom; M. M. MEZELI, The James Hutton Institute, United Kingdom; Å. R. ALMÅS, Department of Environmental Sciences, Norwegian University of Life Sciences, Norway; Y. AUDETTE, University of Guelph, Canada; I. BERTRAND, INRA UMR ECO&SOLS, Montpellier, France; ELENA BEYHAUT GUTIERREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; G. BOITT, Lincoln University, New Zealand; N. BRADSHAW, Department of Chemical & Biological Engineering, The University of Sheffield, United Kingdom; C. A. BREARLEY, School of Biological Sciences, University of East Anglia, United Kingdom; T. W. BRUULSEMA, International Plant Nutrition Institute, Canada; P. CIAIS, Le Laboratoire des Sciences du Climat et de l’Environnement, IPSL-LSCE CEA/CNRS/UVSQ Saclay, France; V. COZZOLINO, Centro Interdipartimentale di Ricerca sulla Risonanza Magnetica Nucleare per l’Ambiente, l’Agro-Alimentare ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Italy; P. C. DURAN, Universidad de La Frontera, Temuco, Chile; M. L. MORA, Centro Interdipartimentale di Ricerca sulla Risonanza Magnetica Nucleare per l’Ambiente, l’Agro-Alimentare ed i Nuovi Materiali (CERMANU), Università di Napoli Federico II, Italy; A. B. DE MENEZES, School of Environment and Life Sciences, University of Salford, United Kingdom; R. J. DODD, School of the Environment, Natural Resources and Geography, Bangor University, United Kingdom; K. DUNFIELD, University of Guelph, Canada; C. ENGL, School of Biological Sciences and Institute for Global Food Security, The Queen’s University of Belfast, United Kingdom; J. J. FRAZÃO, CENA, University of Sao Paulo, Brazil; G. GARLAND, D-USYS, ETH Zurich, Switzerland; J. L. GONZÁLEZ JIMÉNEZ, Teagasc, Environmental Research Centre, Ireland; J. GRACA, Teagasc, Environmental Research Centre, Ireland; S. J. GRANGER, Rothamsted Research, West Common, United Kingdom; A. F. HARRISON, Centre for Ecology & Hydrology, United Kingdom; C. HEUCK, Department of Soil Biogeochemistry, Bayreuth Center of Ecology and Environmental Research (BayCEER), University Bayreuth, Germany; E. Q. HOU, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, China; P. J. JOHNES, School of Geographical Sciences & School of Chemistry, University of Bristol, United Kingdom; K. KAISER, Soil Science and Soil Protection, Martin Luther University Halle-Wittenberg, Germany; H. A. KJÆR, Centre for Ice and Climate, Niels Bohr Institute, University of Copenhagen, Denmark; E. KLUMPP, Evolutionary Biology Centre, EBC, Sweden; A. L. LAMB, NERC Isotope Geosciences Facility, British Geological Survey, United Kingdom; K. A. MACINTOSH, School of Biological Sciences and Institute for Global Food Security, The Queen’s University of Belfast, Medical Biology Centre, United Kingdom; E. B. MACKAY, Centre for Ecology & Hydrology, Library Avenue, Bailrigg, United Kingdom; J. MCGRATH, School of Biological Sciences and Institute for Global Food Security, The Queen’s University of Belfast, Medical Biology Centre, United Kingdom; C. MCINTYRE, School of Geographical Sciences & School of Chemistry, University of Bristol, United Kingdom; T. MCLAREN, D-USYS, ETH Zurich, Switzerland; E. MÉSZÁROS, D-USYS, ETH Zurich, Switzerland; A. MISSONG, Institute of Bio- and Geosciences, IBG-3: Agrosphere, Germany; M. MOOSHAMMER, Department of Microbiology and Ecosystem Science, University of Vienna, Austria; C. P. NEGRÓN, Universidad de La Frontera, Temuco, Chile; L. A. NELSON, University of Northern British Columbia, Canada; V. PFAHLER, Rothamsted Research, West Common, United Kingdom; P. POBLETE-GRANT, Universidad de La Frontera, Temuco, Chile; M. RANDALL, Brigham Young University, United States; A. SEGUEL, Universidad de La Frontera, Temuco, Chile; K. SETH, Lincoln University, New Zealand; A. C. SMITH, NERC Isotope Geosciences Facility, British Geological Survey, United Kingdom; M. M. SMITS, Centre for Environmental Sciences, Hasselt University Building D, Belgium; J. A. SOBARZO, Universidad de La Frontera, Temuco, Chile; M. SPOHN, Department of Soil Biogeochemistry, Bayreuth Center of Ecology and Environmental Research (BayCEER), University Bayreuth, Germany; K. TAWARAYA, Yamagata University, Japan; M. TIBBETT, Centre for Agri-environmental Research, School of Agriculture Policy and Development, University of Reading, United Kingdom; V. VORONEY, University of Guelph, Canada; H. WALLANDER, Department of Biology, Lund University, Sweden; L. WANG, Institute of Bio- and Geosciences, IBG-3: Agrosphere, Germany; J. WASAKI, Assessment of Microbial Environment, Graduate School of Biosphere Science, Hiroshima University, Japan; P. M. HAYGARTH, Lancaster Environment Centre, Lancaster University, United Kingdom. |
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Título : |
Organic phosphorus in the terrestrial environment: a perspective on the state of the art and future priorities. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Plant and Soil, 1 June 2018, Volume 427, Issue 1-2, Pages 191-208. |
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ISSN : |
0032-079X |
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DOI : |
10.1007/s11104-017-3391-x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 28 April 2017 /Accepted: 17 August 2017 / Published online: 6 October 2017.
Update notice: Correction to: Organic phosphorus in the terrestrial environment: a perspective on the state of the art and future priorities (Plant and Soil, (2018), 427, 1-2, (191-208), 10.1007/s11104-017-3391-x) (2018) Plant and Soil, 427 (1-2), pp. 209-211.
Funding text: Acknowledgements This work was performed with the financial support of the Organic Phosphorus Utilisation in Soils (OPUS) project, funded by Biotechnology and Biological Sciences Research Council (BBSRC – BBSRC - BB/K018167/1) in the UK and the Rural & Environment Science & Analytical Services Division of the Scottish Government. Fraser and Tibbett acknowledge the support of BBSRC SARISA programme BB/L025671/2. We also acknowledge the contribution to the output of the OP2016 workshop of all the attendees of the meeting who chose not be named as an author on this paper. In particular, the authors would like to thank Barbara Cade-Menun and Ben Turner and acknowledge there contribution to drafts of this manuscript. |
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Contenido : |
ABSTRACT.
Background: The dynamics of phosphorus (P) in the environment is important for regulating nutrient cycles in natural and managed ecosystems and an integral part in assessing biological resilience against environmental change. Organic P (Po) compounds play key roles in biological and ecosystems function in the terrestrial environment being critical to cell function, growth and reproduction. Scope: We asked a group of experts to consider the global issues associated with Po in the terrestrial environment, methodological strengths and weaknesses, benefits to be gained from understanding the Po cycle, and to set priorities for Po research. Conclusions: We identified seven key opportunities for Po research including: the need for integrated, quality controlled and functionally based methodologies; assessment of stoichiometry with other elements in organic matter; understanding the dynamics of Po in natural and managed systems; the role of microorganisms in controlling Po cycles; the implications of nanoparticles in the environment and the need for better modelling and communication of the research. Each priority is discussed and a statement of intent for the Po research community is made that highlights there are key contributions to be made toward understanding biogeochemical cycles, dynamics and function of natural ecosystems and the management of agricultural systems.
© 2017, Springer International Publishing AG. |
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Palabras claves : |
Ecosystems services; Method development; Microbiome; Modelling; Organic phosphorus; Stoichiometry. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
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008 2018 bl uuuu u00u1 u #d
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024 7 $a10.1007/s11104-017-3391-x$2DOI
100 1 $aGEORGE, T.S.
245 $aOrganic phosphorus in the terrestrial environment$ba perspective on the state of the art and future priorities.$h[electronic resource]
260 $c2018
500 $aArticle history: Received: 28 April 2017 /Accepted: 17 August 2017 / Published online: 6 October 2017. Update notice: Correction to: Organic phosphorus in the terrestrial environment: a perspective on the state of the art and future priorities (Plant and Soil, (2018), 427, 1-2, (191-208), 10.1007/s11104-017-3391-x) (2018) Plant and Soil, 427 (1-2), pp. 209-211. Funding text: Acknowledgements This work was performed with the financial support of the Organic Phosphorus Utilisation in Soils (OPUS) project, funded by Biotechnology and Biological Sciences Research Council (BBSRC – BBSRC - BB/K018167/1) in the UK and the Rural & Environment Science & Analytical Services Division of the Scottish Government. Fraser and Tibbett acknowledge the support of BBSRC SARISA programme BB/L025671/2. We also acknowledge the contribution to the output of the OP2016 workshop of all the attendees of the meeting who chose not be named as an author on this paper. In particular, the authors would like to thank Barbara Cade-Menun and Ben Turner and acknowledge there contribution to drafts of this manuscript.
520 $aABSTRACT. Background: The dynamics of phosphorus (P) in the environment is important for regulating nutrient cycles in natural and managed ecosystems and an integral part in assessing biological resilience against environmental change. Organic P (Po) compounds play key roles in biological and ecosystems function in the terrestrial environment being critical to cell function, growth and reproduction. Scope: We asked a group of experts to consider the global issues associated with Po in the terrestrial environment, methodological strengths and weaknesses, benefits to be gained from understanding the Po cycle, and to set priorities for Po research. Conclusions: We identified seven key opportunities for Po research including: the need for integrated, quality controlled and functionally based methodologies; assessment of stoichiometry with other elements in organic matter; understanding the dynamics of Po in natural and managed systems; the role of microorganisms in controlling Po cycles; the implications of nanoparticles in the environment and the need for better modelling and communication of the research. Each priority is discussed and a statement of intent for the Po research community is made that highlights there are key contributions to be made toward understanding biogeochemical cycles, dynamics and function of natural ecosystems and the management of agricultural systems. © 2017, Springer International Publishing AG.
653 $aEcosystems services
653 $aMethod development
653 $aMicrobiome
653 $aModelling
653 $aOrganic phosphorus
653 $aStoichiometry
700 1 $aGILES, C.D.
700 1 $aMENEZES-BLACKBURN, D.
700 1 $aCONDRON, L.M.
700 1 $aGAMA-RODRIGUES, A.C.
700 1 $aJAISI, D.
700 1 $aLANG, F.
700 1 $aNEAL, A.L.
700 1 $aSTUTTER, M.I.
700 1 $aALMEIDA, D.S.
700 1 $aBOL, R.
700 1 $aCABUGAO, K.G.
700 1 $aCELI, L.
700 1 $aCOTNER, J.B.
700 1 $aFENG, G.
700 1 $aGOLL, D.S.
700 1 $aHALLAMA, M.
700 1 $aKRUEGER, J.
700 1 $aPLASSARD, C.
700 1 $aROSLING, A.
700 1 $aDARCH, T.
700 1 $aFRASER, T.
700 1 $aGIESLER, R.
700 1 $aRICHARDSON, A.E.
700 1 $aTAMBURINI, F.
700 1 $aSHAND, C.A.
700 1 $aLUMSDON, D.G.
700 1 $aZHANG, H.
700 1 $aBLACKWEL, M.S.A.
700 1 $aWEARING, C.
700 1 $aMEZELI, M.M.
700 1 $aALMÅS, Å.R.
700 1 $aAUDETTE, Y.
700 1 $aBERTRAND, I.
700 1 $aBEYHAUT, E.
700 1 $aBOITT, G.
700 1 $aBRADSHAW, N.
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700 1 $aBRUULSEMA, T.W.
700 1 $aCIAIS, P.
700 1 $aCOZZOLINO, V.
700 1 $aDURAN, P.C.
700 1 $aMORA, M.L.
700 1 $aDE MENEZES, A.B.
700 1 $aDODD, R.J.
700 1 $aDUNFIELD, K.
700 1 $aENGL, C.
700 1 $aFRAZÃO, J.J.
700 1 $aGARLAND, G.
700 1 $aGONZÁLEZ JIMÉNEZ, J.L.
700 1 $aGRACA, J.
700 1 $aGRANGER, S.J.
700 1 $aHARRISON, A.F.
700 1 $aHEUCK, C.
700 1 $aHOU, E.Q.
700 1 $aJOHNES, P.J.
700 1 $aKAISER, K.
700 1 $aKJÆR. H.A.
700 1 $aKLUMPP, E.
700 1 $aLAMB, A.L.
700 1 $aMACINTOSH, K.A.A
700 1 $aMACKAY, E.B.
700 1 $aMCGRATH, J.
700 1 $aMCINTYRE, C.
700 1 $aMCLAREN, T.
700 1 $aMÉSZÁROS, E.
700 1 $aMISSONG, A.
700 1 $aMOOSHAMMER, M.
700 1 $aNEGRÓN, C.P.
700 1 $aNELSON, L.A.
700 1 $aPFAHLER, V.
700 1 $aPOBLETE-GRANT, P.
700 1 $aRANDALL, M.
700 1 $aSEGUEL, A.
700 1 $aSETH, K.
700 1 $aSMITH, A.C.
700 1 $aSMITS, M.M.
700 1 $aSOBARZO, J.A.
700 1 $aSPOHN, M.
700 1 $aTAWARAYA, K.
700 1 $aTIBBETT, M.
700 1 $aVORONEY, V.
700 1 $aWALLANDER, H.
700 1 $aWANG, L.
700 1 $aWASAKI, J.
700 1 $aHAYGARTH, P.M.
773 $tPlant and Soil, 1 June 2018, Volume 427, Issue 1-2, Pages 191-208.
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
09/09/2020 |
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Actualizado : |
05/09/2022 |
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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 : |
RAEGAN HOEFLER; GONZALEZ-BARRIOS , P.; MADHAV BHATTA; NUNES, J.A.R.; BERRO, I.; NALIN, R.S.; BORGES, A.; COVARRUBIAS, E.; DIAZ-GARCIA, L.; QUINCKE, M.; GUTIERREZ, L. |
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Afiliación : |
HOEFLER, R., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; PABLO GONZALEZ-BARRIOS, Dpartment of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; BHATTA, M., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; JOSE A. R. NUNES, Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; INES BERRO, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA; RAFAEL S. NALIN, Department of Genetics, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, 131418-900, Brazil.; ALEJANDRA BORGES, Statistics Department, Facultad de Agronomía, Univesidad de la República, Garzón 780, Montevideo, Uruguay.; EDUARDO COVARRUBIAS, CGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico.; LUIS DIAZ-GARCIA, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, 20676, Aguascalientes, Mexico.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA. |
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Título : |
Do Spatial Designs Outperform Classic Experimental Designs?. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2 |
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DOI : |
10.1007/s13253-020-00406-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison. |
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Contenido : |
Controlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online. MenosControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials ... Presentar Todo |
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Palabras claves : |
AUTOREGRESSIVE PROCESS; EXPERIMENTAL DESIGN; PREDICTION ACCURACY; RANDOMIZATION-BASED EXPERIMENTAL DESIGNS; RESPONSE TO SELECTION; SPATIAL CORRECTION. |
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Thesagro : |
DISENO EXPERIMENTAL. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16700/1/JABES-2020.pdf
https://link.springer.com/content/pdf/10.1007/s13253-020-00406-2.pdf
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Marc : |
LEADER 03067naa a2200349 a 4500
001 1061304
005 2022-09-05
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s13253-020-00406-2$2DOI
100 1 $aRAEGAN HOEFLER
245 $aDo Spatial Designs Outperform Classic Experimental Designs?.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison.
520 $aControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments. However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online.
650 $aDISENO EXPERIMENTAL
653 $aAUTOREGRESSIVE PROCESS
653 $aEXPERIMENTAL DESIGN
653 $aPREDICTION ACCURACY
653 $aRANDOMIZATION-BASED EXPERIMENTAL DESIGNS
653 $aRESPONSE TO SELECTION
653 $aSPATIAL CORRECTION
700 1 $aGONZALEZ-BARRIOS , P.
700 1 $aMADHAV BHATTA
700 1 $aNUNES, J.A.R.
700 1 $aBERRO, I.
700 1 $aNALIN, R.S.
700 1 $aBORGES, A.
700 1 $aCOVARRUBIAS, E.
700 1 $aDIAZ-GARCIA, L.
700 1 $aQUINCKE, M.
700 1 $aGUTIERREZ, L.
773 $tJournal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2
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