Multivariate Mixed Linear Model Analysis of Longitudinal Data: An Information-Rich Statistical Technique for Analyzing Plant Disease Resistance
Veturi, Y., Kump, K., Walsh, E., Ott, O., Poland, J., Kolkman, J. M., … Wisser, R. J. (2012, October 9). Phytopathology, Vol. 102, pp. 1016–1025.
MeSH headings : Ascomycota / immunology; Ascomycota / physiology; Computer Simulation; Data Interpretation, Statistical; Disease Resistance; Genotype; Linear Models; Longitudinal Studies; Multivariate Analysis; Plant Diseases / immunology; Plant Diseases / microbiology; Research Design; Software; Zea mays / immunology; Zea mays / microbiology
topics (OpenAlex): Genetics and Plant Breeding; Genetic Mapping and Diversity in Plants and Animals; Wheat and Barley Genetics and Pathology
TL;DR:
To aid in the application of multivariate MLM analysis of longitudinal data on disease resistance, annotated program syntax for model fitting is provided for the software ASReml.
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