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| DOI: | 10.1080/09064710802022937 |
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| Web URL(s): | http://www.tandfonline.com/doi/full/10.1080/09064710802022937
Last checked: 06/19/2014
Access conditions: Item is within a limited-access website
http://www.tandfonline.com/doi/pdf/10.1080/09064710802022937
Last checked: 06/19/2014
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Access conditions: Item is within a limited-access website |
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| Publication Type:
| Report |
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| Author(s): | Gislum, René;
Boelt, Birte;
Zhang, Xia |
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| Author Affiliation: | Gislum and Boelt: Department of Genetics and Biotechnology, Research Centre Flakkebjerg, University of Aarhus, Faculty of Agricultural Sciences, Slagelse, Denmark; Zhang: Chinese Academy of Agricultural Sciences, Biotechnology Research Institute, National Key Facility for Crop Gene Resources and Genetic Improvement, Beijing, China |
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| Title: | The use of linear mixed models for analysis of repeated measurements applied to water-soluble carbohydrates in perennial ryegrass for seed production |
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| Source: | Acta Agriculturae Scandinavica: Section B, Soil andPlant Science. Vol. 59, No. 2, 2009, p. 151-156. |
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| Publishing Information: | [London, United Kingdom]: Taylor & Francis |
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| # of Pages: | 6 |
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| Related Web URL: | http://www.tandfonline.com/doi/abs/10.1080/09064710802022937#tabModule
Last checked: 06/19/2014
Notes: Abstract and guide page only |
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| Keywords: | TIC Keywords: Growth analysis; Growth regulator evaluation; Growth regulators; Lolium perenne; Seed production; Water soluble carbohydrates
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| Abstract/Contents: | "Repeated measurements of a response variable in crops or plants receiving different treatments are widely used in agricultural science. In this paper we analyse repeated measurements of the concentration of water-soluble carbohydrates in stem and ear of perennial ryegrass (Lolium perenne L.) receiving different doses of growth regulators at different times. The objectives were to examine and compare three covariance structures and illustrate their effect on significance levels, the estimates, and standard error of estimates. The three covariance structures tested were unstructured, compound symmetry, and first-order antedependence. The Akaike Information Criterion and the Bayesian Information Criterion were used to find the best covariance structure. The choice of covariance structure had an effect on the significance levels for the stem data, whereas no effect was observed for the ear data. The estimates of the water-soluble carbohydrates concentrations within the stem and ear datasets were similar for all three covariance structures, while the smallest standard errors were obtained using the compound symmetry covariance structure. As it was the goal to do parsimonious modelling more weight was given to the Bayesian information criteria than to the Akaike information criteria. Accordingly, the compound symmetry structure was chosen for the stem data and the unstructured structure was found to be the best structure for the ear data. A model check of the residuals showed that there was no pattern in the residuals." |
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| Language: | English |
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| References: | 13 |
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| Note: | Equations
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Gislum, R., B. Boelt, and X. Zhang. 2009. The use of linear mixed models for analysis of repeated measurements applied to water-soluble carbohydrates in perennial ryegrass for seed production. Acta Agriculturae Scandinavica: Section B, Soil andPlant Science. 59(2):p. 151-156. |
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| DOI: 10.1080/09064710802022937 |
| Web URL(s):
http://www.tandfonline.com/doi/full/10.1080/09064710802022937
Last checked: 06/19/2014
Access conditions: Item is within a limited-access website
http://www.tandfonline.com/doi/pdf/10.1080/09064710802022937
Last checked: 06/19/2014
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: b4897625
MSU catalog number: b2483019 |
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