We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multi-Trait Selection Indices for Identifying New Cassava Varieties Adapted to the Caribbean Region of Colombia.
- Authors
León, Rommel; Rosero, Amparo; García, Jorge-Luis; Morelo, Julio; Orozco, Alfonso; Silva, Gabriel; De la Ossa, Víctor; Correa, Ender; Cordero, Carina; Villalba, Leonardo; Belalcazar, John; Ceballos, Hernán
- Abstract
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 performance. However, selection was improved when local multi-trait selection indices were included—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 response and quality features determination in cassava genotypes can be recommended to identify genotypes with higher adoption rates by farmers and consumers.
- Subjects
COLOMBIA; SEVILLE (Spain); CASSAVA; PHENOTYPES; ARID regions; GENOTYPES; DATA analysis
- Publication
Agronomy, 2021, Vol 11, Issue 9, p1694
- ISSN
2073-4395
- Publication type
Article
- DOI
10.3390/agronomy11091694