Assessment of the genetic structure of two different tomato breeding populations by Principal Component Analysis
DOI:
https://doi.org/10.14409/fa.2024.23.e0024Keywords:
tomato fruit quality, Classical Quantitative Genetics, Plant Genetic Resources, Multivariate Statistics TechniquesAbstract
In Plant Breeding, different populations are generated, which frequently represent different gene arrangement from a common selected gene pool. The technique of Principal Component Analysis (PCA) has been widely applied to evaluate the genetic structure of different populations. The objective of this research was to assess PCA for evaluating the genetic structure of two breeding tomato populations, one representing a final step of a breeding program (RIL population) and the other, an initial step (a six basic generations’ population, composed by two homozygous parent, their heterozygous F1 and the segregating F2 and two backcrosses). Both populations were evaluated for phenotypic quantitative traits and population structure was assessed in terms of variances and covariances. PCA was adequate for evaluating differences in genetic structure for evaluated fruit quality traits in both populations.
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