Skip to main content Accessibility help
×
Home
Hostname: page-component-79b67bcb76-f4n6r Total loading time: 0.15 Render date: 2021-05-13T23:00:59.155Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": false, "newCiteModal": false, "newCitedByModal": true, "newEcommerce": true }

On-farm experiment designs and implications for locating research sites

Published online by Cambridge University Press:  30 October 2009

Phil E. Rzewnicki
Affiliation:
Associate Extension Agriculturalist and graduate student in the Department of Agronomy, University of Nebraska, Lincoln, Nebraska, 68583;
Richard Thompson
Affiliation:
A farmer and consultant, Boone, Iowa, 50036;
Gary W. Lesoing
Affiliation:
Administrative Assistant of University of Nebraska Agricultural Research and Development Center and graduate student in the Department of Agronomy, University of Nebraska;
Roger W. Elmore
Affiliation:
Associate Professor of Agronomy (Clay Center)
Charles A. Francis
Affiliation:
Professors of Agronomy and all are Extension Crops Specialists, University of Nebraska;
Anne M. Parkhurst
Affiliation:
Professor of Biometry, Biometrics Center, University of Nebraska, Lincoln.
Russell S. Moomaw
Affiliation:
Professors of Agronomy and all are Extension Crops Specialists, University of Nebraska;
Get access

Abstract

Research plots that are large enough to accommodate regular farm machinery are thought to contain too much field variation to allow reliable interpretation of experimental results. This study was conducted to determine whether experimental error was controlled on a wide variety of agricultural field trials that used plots larger than normally used by researchers. The investigation included trials conducted on an experiment station and trials conducted on actual commercial farms. The planning and management of the experiments ranged from those completely conducted by university researchers to those completely done by farmers.

The level of experimental error in all the trials was well within the limits normally accepted by researchers in agronomy. Plots ranging in length from 125 to 1200 feet and as wide as one or two passes of standard farm machinery gave experimental results that were statistically sound. Statistical requirements for randomization and replication were all met.

The ability to use large plots and farmer participation enhances the testing of new technology on farms. This leads to new opportunities to test crop production factors in a systems setting under actual farm conditions. The statistical reliability of the on-farm designs analyzed in this study should increase cooperation among researchers, extension workers, and farmers in research activities.

Type
Articles
Copyright
Copyright © Cambridge University Press 1988

Access options

Get access to the full version of this content by using one of the access options below.

References

1.Byerlee, D., Collinson, M. P., Ferriti, R. K., Winkelmann, D. L., Biggs, S., Moscardi, E. R., Martinez, J. C., Harrington, L., and Benjamin, A.. 1980. Planning Technologies Appropriate to Farmers: Concepts and Procedures. CIMMYT, Mexico.Google Scholar
2.Elmore, R. W. 1986. Choose the best hybrid or variety using strip tests. Univ. of Nebraska Agronomy Dept. Profitable Crop Production newsletter. No. 86–15.Google Scholar
3.Francis, C. A. 1986. Dynamic integration of research and extension: igniting the SPARC. Seminar presented to Farming Systems Research and Extension Workshop, Manhatten, Kansas, 10 5–8, 8 p.Google Scholar
4.Francis, C. A., Parkhurst, A. M., and Thompson, R.. 1986. Designs for on-farm research: Statistical rigor and client credibility. p. 111. In Agronomy abstracts. ASA, Madison, WI.Google Scholar
5.Gilbert, E. H., Norman, D. W., and Winch, F. E.. 1980. Farming systems research: a critical appraisal. MSU Rural Development Paper No. 6, Dept. of Agricultural Economics, Michigan State Univ., East Lansing, Michigan.Google Scholar
6.Gomez, K. A. and Gomez, A. A.. 1984. Statistical Procedures for Agricultural Research, 2nd Ed.John Wiley & Sons, Inc., New York, N.Y.Google Scholar
7.Havlin, J., and Elmore, R.. 1984. Maximizing the use of farm strip plots. Univ. of Nebraska, NebGuide G84–723.Google Scholar
8.Hildebrand, P. E., and Poey, F.. 1985. On-farm Agronomic Trials in Farming Systems Research and Extension. Lynne Reinner Publ., Boulder, Colorado.Google Scholar
9.Horton, D. E. 1984. Social scientists in agricultural research: Lessons from the Mantaro Valley Project, Peru. Ottawa: International Development Research Centre. 67 p. (IDRC-219e).Google Scholar
10.Kirkby, R. A. (Ed.). 1984. Crop improvement in Eastern and Southern Africa: Research objectives and on-farm testing. A regional workshop held in Nairobi, Kenya, 20–22 July 1983. Ottawa: International Development Research Centre. 122 p. (IDRC-218e).Google Scholar
11.Lockeretz, W. 1987. Establishing the proper role for on-farm research. Commentary, Amer. Jour. Alter. Agric., 3:132136.CrossRefGoogle Scholar
12.Martinez, J. C. and Arauz, J. R.. 1984. Developing appropriate technologies through onfarm research: The lesson from Caisan, Panama. Agricultural Administration, 17:93114.CrossRefGoogle Scholar
13.Moomaw, R. 1978. Close rows can boost yields. Nebraska Farm, Ranch and Home Quarterly, Fall:1112.Google Scholar
14.O'Brien, V. I. 1984. Power analysis for univariate linear models: The SAS system makes it easy. p. 847852. In Proceedings of the Ninth Annual SUGI (SAS Users Group International) Conference, Hollywood Beach, Florida. 03 18–21. SAS Institute Inc., Gary, NC.Google Scholar
15.Olson, K. R. and Nizeyimana, E.. 1988. Effects of soil erosion on corn yields of seven Illinois soils. J. Prod. Agric., 1:1319.CrossRefGoogle Scholar
16.Sanders, J. H. and Lynam, J. K.. 1982. Evaluation of new technology on farms: Methodology and some results from two crop programs at CIAT. Agricultural Systems, 9:97112.CrossRefGoogle Scholar
17.SAS Institute, Inc. 1982. SAS User's Guide: Statistics. SAS Institute, Inc., Cary, NC.Google Scholar
18.Steel, R. G. D. and Torrie, J. H.. 1980. Principles and Procedures of Statistics: A Biometrical Approach. 2nd ed.New York: McGraw-Hill, pp. 377388.Google Scholar
19.Thompson, R. 1986. A farmer's approach to on-farm research design. Mimeo for discussion. Practical Farmers of Iowa, Boone, IA.Google Scholar

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

On-farm experiment designs and implications for locating research sites
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

On-farm experiment designs and implications for locating research sites
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

On-farm experiment designs and implications for locating research sites
Available formats
×
×

Reply to: Submit a response


Your details


Conflicting interests

Do you have any conflicting interests? *