Data/hora: 17/06/2024 07:14:58

Provedor de dados: | 1
País: | Brazil
Título: | Population parameters and selection of kale genotypes using Bayesian inference in a multi-trait linear model
Autores: | Azevedo, Alcinei Mistico; Andrade júnior, Valter Carvalho de; Santos, Albertir Aparecido dos; Sousa Júnior, Aderbal Soares de; Oliveira, Altino Júnior Mendes; Ferreira, Marcos Aurélio Miranda.
Data: | 2017-01-01
Ano: | 2017
Palavras-chave: | Fitotecnia Brassica oleracea L. var. acephala DC.; Genetic parameters; Crop breeding; Statistical modeling; Correlations Melhoramento genético de plantas.
Resumo: | Variance components must be obtained to estimate genetic parameters and predict breeding values. This information can be obtained through Bayesian inference. When multiple traits are evaluated, Bayesian inference can be used in multi-trait models. The objective of this study was to obtain estimates of genetic parameters, gains with selection, and genetic correlations among traits. Likewise, we aim to predict the genetic values and select the best kale genotypes using the Bayesian approach in a multi-trait linear model. The following traits were evaluated: stem diameter, plant height, number of shoots, number of marketable leaves and fresh weight of leaves using Bayesian inference in 22 kale genotypes. The experiment consisted of a randomized block design with three replications and four plants per plot. Genetic effects predominated over environmental effects. The highest correlation estimates were found between the fresh weight of leaves and stem diameter and between the plant height and number of marketable leaves. The following commercial cultivars and genotypes are recommended for cultivation and to integrate into breeding programs: UFLA 11, UFLA 5, UFLA 6, UFVJM 3 and UFVJM 19. The estimates of the gain with selection indicate the potential for improvement of the studied population.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês

Identificador:

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30856

10.4025/actasciagron.v39i1.30856

Editor: | Universidade Estadual de Maringá

Relação:

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30856/pdf

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/downloadSuppFile/30856/11844

Formato: | application/pdf

Fonte:

Acta Scientiarum. Agronomy; v. 39, n. 1 (2017); 25-31

Acta Scientiarum. Agronomy; v. 39, n. 1 (2017); 25-31

1807-8621

1679-9275

Fonte: | Direitos autorais 2017 Acta Scientiarum. Agronomy