Study of repeatability and phenotypical stabilization in kale using frequentist, Bayesian and bootstrap resampling approaches

• Autor(a) principal: Brito, Orlando Gonçalves
• Data de Publicação: 2019
• Outros Autores: Andrade Júnior, Valter Carvalho de, Azevedo, Alcinei Místico de, Donato, Luan Mateus Silva, Silva, Lidiane Rodrigues, Ferreira, Marcos Aurélio Miranda
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/41562
• topic: Kale - Genetic improvement; Progenies of half-sib; Brassica oleracea var. Acephala; Kale - Crops; Couve - Melhoramento genético; Progênies de meio-irmão; Couve - Cultivo

The aim of this study was to obtain information for the genetic improvement of kale through repeatability and phenotypic stabilization studies and to compare methodologies that represent the reliability of the estimated parameters. Thirty-three half-sib progenies were evaluated in a randomized block design with three replicates and six plants per plot. Eight harvests were evaluated in terms of the yield of fresh leaves, number of shoots, number of leaves and average mass of leaves. Then, a phenotypic repeatability and stabilization study was performed, estimating the genetic parameters σ2a, σ²g, σ²e, and the coefficient of environmental variation and repeatability using the frequentist and Bayesian methodologies. To evaluate the reliability of these estimates, intervals were obtained using the frequentist, Bayesian and bootstrap methods. It was verified that the reliable selection of progenies of half-sib of kale can be achieved in four harvests that were realized between 95 and 170 days after planting. It was observed that the frequentist and Bayesian methodologies are better suited to obtain reliable estimates of the genetic parameters evaluated, as the last one provided smaller amplitudes for the obtained intervals. The bootstrap methodologies are not recommended for phenotypic repeatability and stabilization studies in kale.