Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data
A numerical classification problem encountered by breeders and gene-bank curators is how to partition the original heterogeneous population of genotypes into non-overlapping homogeneous subpopulations. The measure of distance that may be defined depends on the type of variables measured (i.e., conti...
| Autores principales: | , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2010
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/92353 |
Ejemplares similares: Hierarchical multiple-factor analysis for classifying genotypes based on phenotypic and genetic data
- A platform for efficient genotyping in Musa using microsatellite markers
- QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses
- New sources of aphids [Aphis craccivora (Koch)] resistance in cowpea germplasm using phenotypic and molecular marker approaches
- Genetic and phenotypic analysis of Tunisian Theileria annulata clones
- Modern approaches for cowpea breeding: how highthroughput genotyping and a highdensity map change everything
- Genomics of gene banks: a case study in rice