| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4566260 | Scientia Horticulturae | 2015 | 8 Pages |
•Although Capsicum species have a considerable importance in food and pharmaceutical, there are still some species of this genus that remain underexploited, especially in terms of plant breeding.•The manuscript focus in new approach to develop and to evaluate segregant populations in Capsicum baccatum var. pendulum, an important species that is still neglected when compared with Capsicum annuum studies.•From traditional pedigree method we applied mixed models aiming to select individuals with more accuracy. Our proposal combines very well establish techniques as pedigree method with statistical procedures in order to gain robustness in data analysis, allowing greater reliability in the stages of plant selection in breeding programs, and can be used as models for other species still underexploited by breeders.•It is a practical example on how to use statistics other than analysis of variance to estimate heritability in annual plants, helping researchers working with complex traits.
New varieties of autogamous plant have been developed over the decades using different classical breeding methods, including pedigree. Our goal was to associated pedigree with mixed model analysis to select plants with superior agronomic performance in Capsicum baccatum var. pendulum, an autogamous species that has been underexploited by plant breeders. An F2 population was developed from biparental crosses (UENF 1616 × UENF 1732) and 45 F2 individuals were selected using Mulamba and Mock Index considering dry fruit mass, fruit length, fruit wall thickness and soluble solid content. Lines F2:3 along with parents and a standard genotype were tested in field conditions and eight agronomic traits were evaluated. Considering genetic parameters estimation by mixed models, the heritability estimate of the progeny mean was high magnitude ranging from 0.68 to 0.88 while the narrow sense heritability ranged from 0.23 to 0.46 and the additive heritability within the plot reached magnitude between 0.15 and 0.43 for most characteristics, with an accuracy of selection close to unity indicating high accuracy in selection for all traits. Twenty lines with superior performance for each trait were selected considering the values for predict genetic additive effect ranking along with the new mean of improved population. Comparing the 20 selected lines with parents and standard genotype it was possible to observe that lines were superior for eleven out of the thirteen agronomic traits evaluated. The association of the classical pedigree method with more accurate statistical procedure can be useful to assist breeders in autogamous breeding program.
