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Trial setup and statistical analysis

Büchse, A.; Krajewski, P.; Kristensen, K. and Pilarczyk, W. (2007) Trial setup and statistical analysis. In: Donner, D. and Osman, A. (Eds.) Cereal variety testing for organic and low input agriculture. COST860-SUSVAR, Risø National Laboratory, Denmark, TS1-TS27.

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Online at: http://www.cost860.dk/publications/doc/handbook_2ndEditionJune2007.pdf

Summary

The response from field trials is subject to random variation. This means that two neighbouring plots grown with the same variety and treated in the same way will always yield differently. This also applies to all other recordings made on a continuous scale. The size of the differences will depend on several circumstances such as the variability in the soil, variability in the applied fertilizer, historical events and uncertainty in the recording process. This means that a recorded difference between e.g. two varieties may be due to either a true difference in the response of the two varieties or may be due to random variations. In order to help decide whether the difference is caused by the different varieties or by random variation it is necessary to apply some statistical methods in order to estimate the actual size of the random variation in the field and compare the measured difference with the size of the random variation. In order to do that properly it is necessary to use properly designed trials and the correct way of analysing the recorded data.


EPrint Type:Book chapter
Subjects: Knowledge management > Research methodology and philosophy > Specific methods > Surveys and statistics
Crop husbandry > Breeding, genetics and propagation
Research affiliation: Denmark > DARCOF II (2000-2005) > VI.2 (BAR_OF) Characteristics of spring barley varieties for organic farming
Deposited By: Hansen, Grethe
ID Code:21757
Deposited On:09 Nov 2012 14:10
Last Modified:27 Nov 2012 13:33
Document Language:English
Status:Published
Refereed:Not peer-reviewed
Additional Publishing Information:Handbook published by COST860-SUSVAR - Chair: Hanne Østergaard, Risø National Laboratory, Denmark
2nd Edition

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