Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards

Computers and Electronics in Agriculture

Volumn 96, Issue , 2013, Pages 1-12

  White, Jeffrey W ^a   Hunt, L A ^b   Boote, Kenneth J ^c   Jones, James W ^d   Koo, Jawoo ^e   Kim, Soonho ^e   Porter, Cheryl H ^d   Wilkens, Paul W ^f   Hoogenboom, Gerrit ^g  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF GUELPH   (Canada)

^c UNIVERSITY OF FLORIDA   (United States)

^d Dept Agric and Biological Eng ^*  (United States)

^e INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^f International Center for Soil Fertility and Agricultural Development   (United States)

^g WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Climate change; Crop modeling; Data management; Databases; Software

Indexed keywords

BENCHMARKING; CLIMATE CHANGE; COMPLEX NETWORKS; COMPUTER SOFTWARE; CROPS; DATABASE SYSTEMS; ENVIRONMENTAL MANAGEMENT; EXPERIMENTS; INFORMATION MANAGEMENT; SOILS;

AGRICULTURAL RESEARCH; AGROTECHNOLOGY TRANSFER; CROP GROWTH AND DEVELOPMENT; CROP MODELING; DATA INTERCHANGE FORMAT; ENVIRONMENTAL CONDITIONS; INTERNATIONAL CONSORTIUM; MANAGEMENT PRACTICES;

STANDARDS;

AGRICULTURAL LAND; AGRICULTURAL MANAGEMENT; AGRICULTURAL MODELING; AGRICULTURAL PRODUCTION; AGRICULTURAL RESEARCH; AGRICULTURAL TECHNOLOGY; CLIMATE CHANGE; CROP PLANT; DATA QUALITY; DATA SET; ENVIRONMENTAL CONDITIONS; EXPERIMENTAL STUDY; GROWTH MODELING; MANAGEMENT PRACTICE; MULCHING; PEST DAMAGE; SOFTWARE; STANDARD (REFERENCE); TECHNOLOGY TRANSFER; TILLAGE;

EID: 84878153777     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.04.003     Document Type: Article

References (40)

1. Blanchard J.L. Bioinformatics and systems biology, rapidly evolving tools for interpreting plant response to global change. Field Crops Res. 2004, 90:117-131.
2. Bostick W.M., Koo J., Walen V.K., Jones J.W., Hoogenboom G. A web-based data exchange system for crop model applications. Agron. J. 2004, 96:853-856.
3. FAO, 2012. Agricultural Ontology Service Project (AOS) [Online]. < (accessed 03.01.13). http://www.fao.org/aims/aos.jsp>.
4. French R.J., Schultz J.E. Water use efficiency of wheat in a Mediterranean-type environment 1. The relation between yield, water use and climate. Austral. J. Agric. Res. 1984, 35:743-764.
5. Gardner J.B., Drinkwater L.E. The fate of nitrogen in grain cropping systems: a meta-analysis of 15N field experiments. Ecol. Appl. 2009, 19:2167-2184.
6. GCTE, 1996. Global Change and Terrestrial Ecosystems Report No. 2, second ed. GCTE Focus 3 Wheat Network: 1996 Model and Experimental Metadata. GCTE Focus 3 Office, Wallingford, UK, 1996.
7. Gijsman A.J., Thornton P.K., Hoogenboom G. Using the WISE database to parameterize soil inputs for crop simulation models. Comput. Electr. Agric. 2007, 56:85-100.
8. Goudriaan J. Predicting crop yields under global change. Global Change and Terrestrial Ecosystems, International Geosphere-Biosphere Programme Book Series #2 1996, 260-274. Cambridge University Press, Cambridge, UK. B.H. Walker, B.H. Steffen (Eds.).
9. Hoogenboom G., Jones J.W., Wilkens P.W., Porter C.H., Boote K.J., Hunt L.A., Singh U., Lizaso J.L., White J.W., Uryasev O., Royce F.S., Gijsman A.J., Ogoshi R., Tsuji G.Y. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5 2011, University of Hawaii, Honolulu, HI.
10. Hunt L.A., Jones J.W., Hoogenboom G., Godwin D.C., Singh U., Pickering N.B., Thornton P.K., Boote K.J., Ritchie J.T. Input and output file structures for crop simulation models. Crop Modelling and Related Environmental Data. A Focus on Applications for Arid and Semiarid Regions in Developing Countries 1994, 35-72. CODATA, University of Hawaii, Honolulu, HI. P.F. Uhlir, G.C. Carter (Eds.).
11. Hunt L.A., White J.W., Hoogenboom G. Agronomic data: advances in documentation and protocols for exchange and use. Agric. Syst. 2001, 70:477-492.
12. Hunt, L.A., Hoogenboom, G., Jones, J.W., White, J.W., 2006. ICASA Version 1.0 Data Standards for Agricultural Research and Decision Support. < (accessed 10.01.13). http://www.icasa.net/standards/index.html>.
13. ICRISAT (International Crops Research Institute for the Semi-Arid Tropics), 1984. Proceedings of the International Symposium on Minimum Datasets for Agrotechnology Transfer. 21-26 March 1983. ICRISAT Center, India, Patancheru, A.P. 502 324, India: ICRISAT.
14. IRI, 2006. ANEEL prcp_sta: Precipitation station data for South America, primarily Brazil < (accessed 03.01.13). http://iridl.ldeo.columbia.edu/SOURCES/.ANEEL/.prcp_sta>.
15. IRI, 2009. NOAA NCDC DAILY GLOBALSOD: Global daily WMO weather station data. iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NCDC/.DAILY/.GLOBALSOD/ (accessed 3 Jan. 2013).
16. Jamieson P.D., Porter J.R., Goudriaan J., van Ritchie J.T., Keulen H., Stol W. A comparison of the models AFRCWHEAT2, CERES-wheat, sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought. Field Crops Res. 1998, 55:23-44.
17. Jones J.W., Hunt L.A., Hoogenboom G., Godwin D.C., Singh U., Tsuji G.Y., Pickering N.B., Thornton P.K., Bowen W.T., Boote K.J., Ritchie J.T. Input and output files. DSSAT v3 1994, vol. 2-1:1-94. University of Hawaii, Honolulu, HI.
18. Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor W.D., Hunt L.A., Wilkens P.W., Singh U., Gijsman A.J., Ritchie J.T. The DSSAT cropping system model. Eur. J. Agron. 2003, 18:235-265.
19. Jung K.-H., Jeon J.-S., An G. Web tools for rice transcriptome analyses. J. Plant Biol. 2011, 54:65-80.
20. 2 enrichment. Adv. Agron. 2002, 77:293-368.
21. Lam S.K., Chen D., Norton R., Armstrong R., Mosier A.R. Nitrogen dynamics in grain crop and legume pasture systems under elevated atmospheric carbon dioxide concentration: a meta-analysis. Global Change Biol. 2012, 18:2853-2859.
22. McLaren C.G., Bruskiewich R.M., Portugal A.M., Cosico A.B. The international rice information system. A platform for meta-analysis of rice crop data. Plant Physiol. 2005, 139:637-642.
23. McMaster G.S., White J.W., Hunt L.A., Jamieson P.D., Dhillon S.S., Ortiz-Monasterio J.I. Simulating the influence of vernalization, photoperiod and optimum temperature on wheat developmental rates. Ann. Bot. 2008, 102:561-569.
24. Nix, H.A., 1984. Minimum datasets for agrotechnology transfer. In: Proceedings of the International Symposium on Minimum Datasets for Agrotechnology Transfer, 21-26 March 1983, ICRISAT Center, India. ICRISAT, Patancheru, India, pp. 181-188.
25. Ogle S.M., Swan A., Paustian K. No-till management impacts on crop productivity, carbon input and soil carbon sequestration. Agric. Ecosyst. Environ. 2012, 149:37-49.
26. Pedersen, A.A., 2004. Entity relationship modeling. Dev Articles. < (verified 10.01.13). http://www.devarticles.com/c/a/Development-Cycles/Entity-Relationship-Modeling>.
27. Romero C.C., Hoogenboom G., Baigorria G.A., Koo J., Gijsman A.J., Wood S. Reanalysis of a global soil database for crop and environmental modeling. Environ. Modell. Softw. 2012, 35:163-170.
28. Shrestha R., Arnaud E., Mauleon R., Senger M., Davenport G.F., Hancock D., Morrison N., Bruskiewich R., McLaren G. Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature. AoB Plants 2010, 2010. 10.1093/aobpla/plq008.
29. Stackhouse, P/W., 2012. NASA Climatology Resource for Agroclimatology < (verified 10.01.13). http://power.larc.nasa.gov>.
30. The Plant Ontology Consortium Conference report. the plant ontology consortium and plant ontologies. Comp. Funct. Genom. 2002, 3:137-142.
31. Tsuji G.Y., Uehara G., Balas S. DSSAT version 3 Volumes 1, 2, and 3. International Benchmark Sites Network for Agrotechnology Transfer 1994, Honolulu, HI, University of Hawaii.
32. Tuomisto H.L., Hodge I.D., Riordan P., Macdonald D.W. Does organic farming reduce environmental impacts? - A meta-analysis of European research. J. Environ. Manage. 2012, 112:309-320.
33. Uehara G., Tsuji G.Y. Overview of IBSNAT. Understanding Options for Agricultural Production 1998, 1-7. Kluwer Academic Publishers, Dordrecht, The Netherlands. G.Y. Tsuji, G. Hoogenboom, P.K. Thornton (Eds.).
34. van Evert F.K., Spaans E.J.A., Krieger S.D., Carlis J.V., Baker J.M. A database for agroecological research data. 1: data model. Agron. J. 1999, 91:54-62.
35. van Evert F.K., Spaans E.J.A., Krieger S.D., Carlis J.V., Baker J.M. A database for agroecological research data. II. A relational implementation. Agron. J. 1999, 91:62-71.
36. Villalobos, C., 2012. Using JSON & Riak for AgMIP < (accessed 12.04.12). http://research.agmip.org/download/attachments/1212592/using_json_and_riak.pdf?version=1&modificationDate=1339620113767>.
37. White J.W., van Evert F.K. Publishing agronomic data. Agron. J. 2008, 100:1396-1400.
38. White J.W., Herndl M., Hunt L.A., Payne T.S., Hoogenboom G. Simulation-based analysis of effects of Vrn and Ppd loci on flowering in wheat. Crop Sci. 2008, 48:678-687.
39. White J.W., Hoogenboom G., Wilkens P.W., Stackhouse P.W., Hoell J.M. Evaluation of satellite-based, model-derived daily solar radiation data for the continental United States. Agron. J. 2011, 103:1242-1251.
40. XML Core Working Group, 2008. Extensible Markup Language (XML) 1.0, fifth ed. < (accessed 10.01.13). http://www.w3.org/TR/2008/REC-xml-20081126/>.