Size and shape of experimental units for rice (Oryza sativa) yield trials, in Guanacaste, Costa Rica
DOI:
https://doi.org/10.22458/urj.v11i3.2653Keywords:
plot size, plot shape, multiple regression, experimental errorAbstract
Introduction: The size and shape of an experimental unit affect the accuracy of field trials. Objective: Finding the appropriate size and shape of an experimental unit for rice yield trials in Bagaces, Guanacaste, Costa Rica. Methods: We applied a multiple regression analysis to data from an uniformity trial. The residual variability, measured as a coefficient of variation (and related to different sizes and forms of a replicable experimental unit), was modeled according to length and width. The next step was to determine partial derivatives per regressor and adjust them to -1. With the equation system it is possible to obtain a combination of width and length which decreases the coefficient of variation. Results: For this work, the resulting combination was 2,93m long by 7,95m wide. Conclusion: In practical terms, the size of the experimental unit that decreases the coefficient of variation is 3m long and 8m wide.
Downloads
Published
Issue
Section
License
Note: This abstract contains an incorrect copyright due to technical issues. Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
All journal contents are freely available through a CC BY 4.0 license.
CC BY 4.0 is a Creative Commons: you can copy, modify, distribute, and perform, even for commercial reasons, without asking permission, if you give appropriate credit.
Contents can be reproduced if the source and copyright are acknowledged according to the Open Access license CC BY 4.0. Self-storage in preprint servers and repositories is allowed for all versions. We encourage authors to publish raw data and data logs in public repositories and to include the links with all drafts so that reviewers and readers can consult them at any time.
The journal is financed by public funds via Universidad Estatal a Distancia and editorial independence and ethical compliance are guaranteed by the Board of Editors, UNED. We do not publish paid ads or receive funds from companies.


