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1 July 2011 Structural equation modeling in the plant sciences: An example using yield components in oat
Eric G. Lamb, Steven J. Shirtliffe, William E. May
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Abstract

Lamb, E. G., Shirtliffe, S. J. and May, W. E. 2011. Structural equation modeling in the plant sciences: An example using yield components in oat. Can. J. Plant Sci. 91: 603-619. Structural equation modeling (SEM) is a powerful statistical approach for the analysis of complex intercorrelated data with a wide range of potential applications in the plant sciences. In this paper we introduce plant scientists to the principles and practice of SEM using as an example an agronomic field trial. We briefly review the history of SEM and path analysis and introduce the statistical concepts underlying SEM. We demonstrate the use of observed and latent variable structural equation models using a multi-site multi-year field trial examining the effects of seed size and seeding density on the plant density and yield of oat in Saskatchewan. Using SEM allowed for insights that a standard univariate analysis would not have revealed. We show that seeding density has strong effects on plant and panicle density, but has very limited effects on final yield. Plant density has a consistent non-linear effect on panicle density across location that was not affected by precipitation. In contrast, the implicit effect of precipitation on seed number appears to be the main driver for final yield. Incorporating precipitation data into the model demonstrates how mechanistic models can be developed by including in the path diagram variables that would normally treated as random factors in a mixed model analysis. Finally, we provide a guideline to assist plant scientists in determining whether SEM is an appropriate method to be used for the analysis of their data.

Eric G. Lamb, Steven J. Shirtliffe, and William E. May "Structural equation modeling in the plant sciences: An example using yield components in oat," Canadian Journal of Plant Science 91(4), 603-619, (1 July 2011). https://doi.org/10.1139/CJPS2010-035
Received: 15 December 2010; Accepted: 1 March 2011; Published: 1 July 2011
JOURNAL ARTICLE
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KEYWORDS
Avena sativa L
Avena sativa L
avoine
calibre du grain
densité des semis
facteurs du rendement
latent variable model
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