Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia
In Colombia, the highest cassava production comes from the semi-arid region of the Atlantic Coast with relatively low yield for fresh consumption (≤11 t/ha). Development of improved varieties is based on a plant ideotype which integrates a group of desirable traits independently measured in the fiel...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114959 |
| _version_ | 1855520807138099200 |
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| author | León, Rommel Rosero, Elvia Amparo García, Jorge Luis Morelo, Julio Orozco, Alfonso Silva, Gabriel Ossa, Víctor de la Correa, Ender Cordero, Carina Villalba, Leonardo Belalcázar, John Eiver Ceballos, Hernán |
| author_browse | Belalcázar, John Eiver Ceballos, Hernán Cordero, Carina Correa, Ender García, Jorge Luis León, Rommel Morelo, Julio Orozco, Alfonso Ossa, Víctor de la Rosero, Elvia Amparo Silva, Gabriel Villalba, Leonardo |
| author_facet | León, Rommel Rosero, Elvia Amparo García, Jorge Luis Morelo, Julio Orozco, Alfonso Silva, Gabriel Ossa, Víctor de la Correa, Ender Cordero, Carina Villalba, Leonardo Belalcázar, John Eiver Ceballos, Hernán |
| author_sort | León, Rommel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In Colombia, the highest cassava production comes from the semi-arid region of the Atlantic Coast with relatively low yield for fresh consumption (≤11 t/ha). Development of improved varieties is based on a plant ideotype which integrates a group of desirable traits independently measured in the field. However, selecting high performance genotypes for several traits simultaneously is a complex process. Sixteen genotypes were evaluated under four environmental conditions (localities) of the Colombian Caribbean region (Cereté, Carmen de Bolivar, Agustín Codazzi, and Sevilla), and two production cycles (2016/2017–2017/2018) in order to assess phenotypic expression of selected traits, their stability, and utility in genotype selection. Selection of promising genotypes should consider both their superiority and stability. Genotypes SM3106-14, GM1692-56, CM9456-12, and GM214-62 were selected based on their agronomic performance. In addition, frequency analysis of sensorial data showed that genotypes CM9456-12, SM1127-8, SM3553-27, and SM3562-32 were preferred by panelists who assessed, color, flavor, texture, and root shape. Determination of superiority through across-environments, multi-trait selection index allows identifying genotypes with superior per-formance. However, selection was improved when local multi-trait selection indices were includ-ed—phenotypic stability determination (through Lin and Binns index and AMMI model) supported an adequate selection of superior and stable cassava genotypes. The inclusion of palatability re-sponse and quality features determination in cassava genotypes can be recommended to identify genotypes with higher adoption rates by farmers and consumers. |
| format | Journal Article |
| id | CGSpace114959 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1149592025-11-11T17:46:07Z Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia León, Rommel Rosero, Elvia Amparo García, Jorge Luis Morelo, Julio Orozco, Alfonso Silva, Gabriel Ossa, Víctor de la Correa, Ender Cordero, Carina Villalba, Leonardo Belalcázar, John Eiver Ceballos, Hernán variety choice genotype environment interaction plant breeding genotypes food security elección de variedades interacción genotipo ambiente fitomejoramiento In Colombia, the highest cassava production comes from the semi-arid region of the Atlantic Coast with relatively low yield for fresh consumption (≤11 t/ha). Development of improved varieties is based on a plant ideotype which integrates a group of desirable traits independently measured in the field. However, selecting high performance genotypes for several traits simultaneously is a complex process. Sixteen genotypes were evaluated under four environmental conditions (localities) of the Colombian Caribbean region (Cereté, Carmen de Bolivar, Agustín Codazzi, and Sevilla), and two production cycles (2016/2017–2017/2018) in order to assess phenotypic expression of selected traits, their stability, and utility in genotype selection. Selection of promising genotypes should consider both their superiority and stability. Genotypes SM3106-14, GM1692-56, CM9456-12, and GM214-62 were selected based on their agronomic performance. In addition, frequency analysis of sensorial data showed that genotypes CM9456-12, SM1127-8, SM3553-27, and SM3562-32 were preferred by panelists who assessed, color, flavor, texture, and root shape. Determination of superiority through across-environments, multi-trait selection index allows identifying genotypes with superior per-formance. However, selection was improved when local multi-trait selection indices were includ-ed—phenotypic stability determination (through Lin and Binns index and AMMI model) supported an adequate selection of superior and stable cassava genotypes. The inclusion of palatability re-sponse and quality features determination in cassava genotypes can be recommended to identify genotypes with higher adoption rates by farmers and consumers. 2021-08-25 2021-09-14T07:32:15Z 2021-09-14T07:32:15Z Journal Article https://hdl.handle.net/10568/114959 en Open Access application/pdf MDPI León, R.; Rosero, A.; García,J.-L.; Morelo, J.; Orozco, A.; Silva, G.; De la Ossa, V.; Correa, E.; Cordero, C.; Villalba, L.; Belalcazar, J.; Ceballos, H. (2021) Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia. Agronomy 11(9): 1694. ISSN: 2073-4395 |
| spellingShingle | variety choice genotype environment interaction plant breeding genotypes food security elección de variedades interacción genotipo ambiente fitomejoramiento León, Rommel Rosero, Elvia Amparo García, Jorge Luis Morelo, Julio Orozco, Alfonso Silva, Gabriel Ossa, Víctor de la Correa, Ender Cordero, Carina Villalba, Leonardo Belalcázar, John Eiver Ceballos, Hernán Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title | Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title_full | Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title_fullStr | Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title_full_unstemmed | Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title_short | Multi-Trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia |
| title_sort | multi trait selection indices for identifying new cassava varieties adapted to the caribbean region of colombia |
| topic | variety choice genotype environment interaction plant breeding genotypes food security elección de variedades interacción genotipo ambiente fitomejoramiento |
| url | https://hdl.handle.net/10568/114959 |
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