Ontology is important in MAB because it conveys correct and consistent information understood and used by all plant breeders and molecular geneticists involved; Identified marker-trait correlations are only useful based on the appropriateness of the phenotype used for measuring the trait e.g percent diseased, fruit or grain size, fruit color, etc; Knowledge of statistics is applied during the experimental design and during data analysis. The kind of statistical analysis used to analyze data is correlated with the experimental design and nature of the data collected e.g nominal data, ordinal data, continuous data, etc. Also a statistical checklist needs to be satisfied before any statistical analysis is carried out.
Our next lesson will be on the Genetic Linkage Mapping. Genetic maps represent the position of genes and /or markers along a chromosome, as determined by linkage analysis.