Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors
Proper classification and establishment of relationships between and within Musa taxonomic clusters will be important tools for the genetic improvement of plantain and banana. This paper assesses the value of a phenotypic diversity index, based on 16 quantitative descriptors, for germplasm clusterin...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
1998
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/100989 |
| _version_ | 1855530641231183872 |
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| author | Ortíz, R. Madsen, S. Vuylsteke, D.R. |
| author_browse | Madsen, S. Ortíz, R. Vuylsteke, D.R. |
| author_facet | Ortíz, R. Madsen, S. Vuylsteke, D.R. |
| author_sort | Ortíz, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Proper classification and establishment of relationships between and within Musa taxonomic clusters will be important tools for the genetic improvement of plantain and banana. This paper assesses the value of a phenotypic diversity index, based on 16 quantitative descriptors, for germplasm clustering and for identification of duplicates among 92 triploid plantain and banana accessions. Data were recorded during the plant and ratoon crops at Onne, a humid forest location in southeastern Nigeria. The phenotypic distance matrix was developed by calculating the average difference between each pair of accessions for all quantitative descriptors. Significant differences were observed for this phenotypic distance index between Musa taxonomic clusters. The between-cluster variance was larger (0.001779) than the within-cluster variance (0.001380). Wright's ϕFS, which measures the overall diversity, was 0.5663. This value suggested little gene flow among triploid taxonomic clusters via pollen, which explains the higher population differentiation exhibited by this vegetatively propagated crop with very low male fertility. The results also suggested that variation observed within each Musa taxonomic cluster arose from mutations accumulated throughout the history of cultivation of this crop. Some putative duplicates based on qualitative descriptors were not regarded as the same accession according to the phenotypic diversity index based on quantitative descriptors. Hence, gene-bank curators should assess quantitative descriptors for the identification of duplicate accessions in Musa. |
| format | Journal Article |
| id | CGSpace100989 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1998 |
| publishDateRange | 1998 |
| publishDateSort | 1998 |
| record_format | dspace |
| spelling | CGSpace1009892024-03-06T10:16:43Z Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors Ortíz, R. Madsen, S. Vuylsteke, D.R. plantains bananas gene banks suckers musa genetic resources genomes Proper classification and establishment of relationships between and within Musa taxonomic clusters will be important tools for the genetic improvement of plantain and banana. This paper assesses the value of a phenotypic diversity index, based on 16 quantitative descriptors, for germplasm clustering and for identification of duplicates among 92 triploid plantain and banana accessions. Data were recorded during the plant and ratoon crops at Onne, a humid forest location in southeastern Nigeria. The phenotypic distance matrix was developed by calculating the average difference between each pair of accessions for all quantitative descriptors. Significant differences were observed for this phenotypic distance index between Musa taxonomic clusters. The between-cluster variance was larger (0.001779) than the within-cluster variance (0.001380). Wright's ϕFS, which measures the overall diversity, was 0.5663. This value suggested little gene flow among triploid taxonomic clusters via pollen, which explains the higher population differentiation exhibited by this vegetatively propagated crop with very low male fertility. The results also suggested that variation observed within each Musa taxonomic cluster arose from mutations accumulated throughout the history of cultivation of this crop. Some putative duplicates based on qualitative descriptors were not regarded as the same accession according to the phenotypic diversity index based on quantitative descriptors. Hence, gene-bank curators should assess quantitative descriptors for the identification of duplicate accessions in Musa. 1998 2019-04-24T12:29:42Z 2019-04-24T12:29:42Z Journal Article https://hdl.handle.net/10568/100989 en Limited Access R. Ortiz, R., Madsen, S. & Vuylsteke, D. (1998). Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors. Theory of Applied Genetics, 96, 904-911. |
| spellingShingle | plantains bananas gene banks suckers musa genetic resources genomes Ortíz, R. Madsen, S. Vuylsteke, D.R. Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title | Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title_full | Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title_fullStr | Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title_full_unstemmed | Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title_short | Classification of African plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| title_sort | classification of african plantain landraces and banana cultivars using a phenotypic distance index of quantitative descriptors |
| topic | plantains bananas gene banks suckers musa genetic resources genomes |
| url | https://hdl.handle.net/10568/100989 |
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